BEGIN:VCALENDAR METHOD:PUBLISH X-WR-TIMEZONE:US/Central PRODID:-//Apple Inc.//iCal 3.0//EN CALSCALE:GREGORIAN X-WR-CALNAME:IMA Upcoming Events Calendar VERSION:2.0 X-WR-RELCALID:imacalendar-519e5200b8365 X-APPLE-CALENDAR-COLOR:#0252D4 BEGIN:VTIMEZONE TZID:US/Central BEGIN:DAYLIGHT TZOFFSETFROM:-0600 TZOFFSETTO:-0500 DTSTART:20130523T122900 RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU TZNAME:CDT END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0500 TZOFFSETTO:-0600 DTSTART:20130523T122900 RRULE:FREQ=YEARLY;BYMONTH=11;BYDAY=1SU TZNAME:CST END:STANDARD END:VTIMEZONE BEGIN:VEVENT UID:imaevent-519e5200c0339 DTSTAMP:20130523T122900 DTSTART:20130523T150000 DTEND:20130523T153000 SUMMARY:Coffee break[3:00pm-3:30pm] DESCRIPTION: Coffee break [ Location: Lind Hall 400\, ] Location: Lind Hall 400 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5200c12d5 DTSTAMP:20130523T122900 DTSTART:20130524T150000 DTEND:20130524T153000 SUMMARY:Coffee break[3:00pm-3:30pm] DESCRIPTION: Coffee break [ Location: Lind Hall 400\, ] Location: Lind Hall 400 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5200c1ace DTSTART;VALUE=DATE:20130527 DTSTAMP:20130523T122900 SUMMARY:University Closed for Memorial Day Holiday[All Day] DESCRIPTION: University Closed for Memorial Day Holiday [ ] CREATED:20130523T122900 DTEND;VALUE=DATE:20130528 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5200c2a97 DTSTAMP:20130523T122900 DTSTART:20130527T150000 DTEND:20130527T153000 SUMMARY:Coffee break[3:00pm-3:30pm] DESCRIPTION: Coffee break [ Location: Lind Hall 400\, ] Location: Lind Hall 400 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5200c4249 DTSTART;VALUE=DATE:20130528 DTSTAMP:20130523T122900 SUMMARY:Mini-Symposium: Analysis and Computation of Coherent Structures[All Day] DESCRIPTION: Mini-Symposium: Analysis and Computation of Coherent Structures [ Location: Lind Hall 305\, Special Events ] Location: Lind Hall 305 CREATED:20130523T122900 DTEND;VALUE=DATE:20130529 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5200c59a9 DTSTAMP:20130523T122900 DTSTART:20130528T083000 DTEND:20130528T090000 SUMMARY:Mini-Symposium: Coffee[8:30am-9:00am] DESCRIPTION: Mini-Symposium: Coffee [ Location: Lind Hall 409\, Special Events ] Location: Lind Hall 409 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5200c7140 DTSTAMP:20130523T122900 DTSTART:20130528T090000 DTEND:20130528T101500 SUMMARY:Mini-Symposium: Stochastic Continuation of Fronts in Agent-Based-Models[9:00am-10:15am] DESCRIPTION: Mini-Symposium: Stochastic Continuation of Fronts in Agent-Based-Models [ Location: Lind Hall 305\, Special Events ] Location: Lind Hall 305 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5200c8afe DTSTAMP:20130523T122900 DTSTART:20130528T101500 DTEND:20130528T104500 SUMMARY:Mini-Symposium: Break[10:15am-10:45am] DESCRIPTION: Mini-Symposium: Break [ Location: Lind Hall 409\, Special Events ] Location: Lind Hall 409 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5200c9d13 DTSTAMP:20130523T122900 DTSTART:20130528T104500 DTEND:20130528T120000 SUMMARY:Mini-Symposium: Wavespeed Selection in Systems of Reaction-Diffusion Equations[10:45am-12:00pm] DESCRIPTION: Mini-Symposium: Wavespeed Selection in Systems of Reaction-Diffusion Equations [ Wavespeed selection refers to the problem of determining the long time asymptotic speed of invasion of an unstable state by some secondary state. This tutorial will discuss wavespeed selection mechanisms for reaction-diffusion equations. Particular emphasis will be placed on the qualitative differences between wavespeed selection in systems of reaction diffusion equations and scalar problems. The tutorial will review the notions of the linear spreading speed\, pushed and pulled fronts\, marginal stability and the role of singularities of the pointwise Green's function. Examples will include a Lotka-Volterra competition model\, the Keller-Segel model\, and some examples of coupled Fisher-KPP equations. Location: Lind Hall 305\, ] Location: Lind Hall 305 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5200ca646 DTSTAMP:20130523T122900 DTSTART:20130528T120000 DTEND:20130528T133000 SUMMARY:Mini Symposium: Lunch[12:00pm-1:30pm] DESCRIPTION: Mini Symposium: Lunch [ ] END:VEVENT BEGIN:VEVENT UID:imaevent-519e5200cb755 DTSTAMP:20130523T122900 DTSTART:20130528T133000 DTEND:20130528T144500 SUMMARY:Mini-Symposium: Continuation Methods in Computational Neuroscience with a Focus on Applications[1:30pm-2:45pm] DESCRIPTION: Mini-Symposium: Continuation Methods in Computational Neuroscience with a Focus on Applications [ Location: Lind Hall 305\, ] Location: Lind Hall 305 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5200cc6e0 DTSTAMP:20130523T122900 DTSTART:20130528T144500 DTEND:20130528T151500 SUMMARY:Mini-Symposium: Break[2:45pm-3:15pm] DESCRIPTION: Mini-Symposium: Break [ Location: Lind Hall 409\, ] Location: Lind Hall 409 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5200cd685 DTSTAMP:20130523T122900 DTSTART:20130528T150000 DTEND:20130528T153000 SUMMARY:Coffee break[3:00pm-3:30pm] DESCRIPTION: Coffee break [ Location: Lind Hall 400\, ] Location: Lind Hall 400 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5200ce65a DTSTAMP:20130523T122900 DTSTART:20130528T151500 DTEND:20130528T160500 SUMMARY:Mini-Symposium: Localized Crime Hotspots[3:15pm-4:05pm] DESCRIPTION: Mini-Symposium: Localized Crime Hotspots [ Location: Lind Hall 305\, ] Location: Lind Hall 305 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5200cf643 DTSTAMP:20130523T122900 DTSTART:20130528T160500 DTEND:20130528T163000 SUMMARY:Mini-Symposium: Break[4:05pm-4:30pm] DESCRIPTION: Mini-Symposium: Break [ Location: Lind Hall 409\, ] Location: Lind Hall 409 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5200d06d9 DTSTAMP:20130523T122900 DTSTART:20130528T163000 DTEND:20130528T172000 SUMMARY:Mini-Symposium: Small-Amplitude Grain Boundaries of Arbitrary Angle in the Swift-Hohemberg Equation[4:30pm-5:20pm] DESCRIPTION: Mini-Symposium: Small-Amplitude Grain Boundaries of Arbitrary Angle in the Swift-Hohemberg Equation [ Location: Lind Hall 305\, ] Location: Lind Hall 305 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5200d176a DTSTAMP:20130523T122900 DTSTART:20130529T150000 DTEND:20130529T153000 SUMMARY:Coffee break[3:00pm-3:30pm] DESCRIPTION: Coffee break [ Location: Lind Hall 400\, ] Location: Lind Hall 400 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5200d2716 DTSTAMP:20130523T122900 DTSTART:20130530T150000 DTEND:20130530T153000 SUMMARY:Coffee break[3:00pm-3:30pm] DESCRIPTION: Coffee break [ Location: Lind Hall 400\, ] Location: Lind Hall 400 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5200d36f3 DTSTAMP:20130523T122900 DTSTART:20130531T150000 DTEND:20130531T153000 SUMMARY:Coffee break[3:00pm-3:30pm] DESCRIPTION: Coffee break [ Location: Lind Hall 400\, ] Location: Lind Hall 400 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5200d6513 DTSTAMP:20130523T122900 DTSTART:20130603T080000 DTEND:20130603T084500 SUMMARY:Registration[8:00am-8:45am] DESCRIPTION: Registration [ Location: Keller Hall 3-176\, Joint US-Japan Workshop for Young Researchers on Interactions among Localized Patterns in Dissipative Systems(SW6.3-7.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/SW6.3-7.13/ Location: Keller Hall 3-176 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5200d87c6 DTSTAMP:20130523T122900 DTSTART:20130603T084500 DTEND:20130603T090000 SUMMARY:Welcome to the IMA[8:45am-9:00am] DESCRIPTION: Welcome to the IMA [ Location: Keller Hall 3-180\, Joint US-Japan Workshop for Young Researchers on Interactions among Localized Patterns in Dissipative Systems(SW6.3-7.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/SW6.3-7.13/ Location: Keller Hall 3-180 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5200dc440 DTSTAMP:20130523T122900 DTSTART:20130603T090000 DTEND:20130603T094000 SUMMARY:Localized Structures Near Onset[9:00am-9:40am] DESCRIPTION: Localized Structures Near Onset Bjorn Sandstede\, Brown University [ Many planar spatially extended systems exhibit localized standing structures such as pulses and oscillons. In particular\, such structures can emerge at Turing and forced Hopf bifurcations. In this talk\, I will give an overview of these mechanisms and show how geometric blow-up techniques can be used to analyze them: among the findings is the bifurcation of localized structures that have significantly larger amplitudes than expected from formal considerations. This is joint work with Kelly McQuighan\, David Lloyd\, and Scott McCalla. Location: Keller Hall 3-180\, Joint US-Japan Workshop for Young Researchers on Interactions among Localized Patterns in Dissipative Systems(SW6.3-7.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/SW6.3-7.13/ Location: Keller Hall 3-180 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5200e03da DTSTAMP:20130523T122900 DTSTART:20130603T094000 DTEND:20130603T102000 SUMMARY:Dynamics of localized structures in convections[9:40am-10:20am] DESCRIPTION: Dynamics of localized structures in convections Iima Makoto\, Hiroshima University [ We study dynamics of localized structures in fluids. First\, we present a detailed network connecting various solutions representing steady and traveling localized states in binary fluid. The structure of the network can be classified into four categories based on the local network connections. Second\, we show an experimental work of bioconvection caused by Euglena suspension illuminated from below. In this convection\, localized convection cells are observed as well as the binary fluid convection\; But the mechanism has not been clarified. In our experiment\, an annular container was used to achieve S^1 condition in the azimuthal direction\, and the width of the container is a similar size of the single convection cell in three-dimensional domain. After introducing the basic mechanism of bioconvection\, we show the result suggesting the bistability structure of this suspension. The topics of this talk are joint works with Dr. T. Watanabe(JAXA)\, E. Shoji(Hiroshima University) and Prof. Y. Nishiura(Tohoku University). Location: Keller Hall 3-180\, Joint US-Japan Workshop for Young Researchers on Interactions among Localized Patterns in Dissipative Systems(SW6.3-7.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/SW6.3-7.13/ Location: Keller Hall 3-180 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5200e29f4 DTSTAMP:20130523T122900 DTSTART:20130603T102000 DTEND:20130603T104500 SUMMARY:Break[10:20am-10:45am] DESCRIPTION: Break [ Location: Keller Hall 3-176\, Joint US-Japan Workshop for Young Researchers on Interactions among Localized Patterns in Dissipative Systems(SW6.3-7.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/SW6.3-7.13/ Location: Keller Hall 3-176 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5200e5b9e DTSTAMP:20130523T122900 DTSTART:20130603T104500 DTEND:20130603T112500 SUMMARY:Localized Swarms in Nonlocal Models: Dynamics and Equilibria[10:45am-11:25am] DESCRIPTION: Localized Swarms in Nonlocal Models: Dynamics and Equilibria Chad Michael Topaz\, Macalester College [ I discuss a partial integrodifferential equation model for the the collective motion of biological groups. The model describes a population density field u(x\,t) advected by a velocity field v = q * u + f. The convolution q * u represents pairwise social interactions between swarm members and f(x) models exogenous forces such as food or light. Because social interactions are difficult to measure in experiment\, one challenge in aggregation modeling is to choose a social interaction kernel q(x) that produces qualitatively correct macroscopic behavior. For f = 0\, we determine conditions on q for u to asymptotically spread\, contract\, or reach steady state. For nonzero f\, we use a variational formulation to find exact solutions for swarm equilibria in one spatial dimension. Typically\, these are localized solutions with jump discontinuities or delta-concentrations at the group’s edges. We apply some results to locust swarms. Location: Keller Hall 3-180\, Joint US-Japan Workshop for Young Researchers on Interactions among Localized Patterns in Dissipative Systems(SW6.3-7.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/SW6.3-7.13/ Location: Keller Hall 3-180 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5200e779d DTSTAMP:20130523T122900 DTSTART:20130603T112500 DTEND:20130603T133000 SUMMARY:Lunch[11:25am-1:30pm] DESCRIPTION: Lunch [ Joint US-Japan Workshop for Young Researchers on Interactions among Localized Patterns in Dissipative Systems(SW6.3-7.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/SW6.3-7.13/ END:VEVENT BEGIN:VEVENT UID:imaevent-519e5200eab8a DTSTAMP:20130523T122900 DTSTART:20130603T133000 DTEND:20130603T140000 SUMMARY:Three-state Node Network for Loop Searching System[1:30pm-2:00pm] DESCRIPTION: Three-state Node Network for Loop Searching System Kei-Ichi Ueda\, Toyama University [ Self-recovery of function is one of the remarkable properties of biological systems and its implementation in autonomous distributed systems is highly desirable. In this study focusing on designing logical connections by using dynamical systems\, we propose an autonomous distributed system which is capable of searching for closed loops. A closed loop is defined as a phase synchronization of a group of oscillators belonging to the corresponding nodes. We demonstrate that the system can find a possible loop when one of the connections in the existing loop is suddenly removed. Location: Keller Hall 3-180\, Joint US-Japan Workshop for Young Researchers on Interactions among Localized Patterns in Dissipative Systems(SW6.3-7.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/SW6.3-7.13/ Location: Keller Hall 3-180 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5200ee0c0 DTSTAMP:20130523T122900 DTSTART:20130603T140000 DTEND:20130603T143000 SUMMARY:Nucleation of Localised Ferro-patterns[2:00pm-2:30pm] DESCRIPTION: Nucleation of Localised Ferro-patterns David J.B. Lloyd\, University of Surrey [ Ferro-solitons and patches of localised patterns have been observed experimentally on the surface of a magnetic fluid in the presence of a uniform vertical magnetic field by Richter and Barashenkov (PRL 2005). In this talk\, I will present some recent experimental results of Richter and link these with some analysis and numerical results of the equations governing the free-surface. It turns out that the system possesses an energy formulation and for the linear magnetisation law case a Hamiltonian formulation exists. This Hamiltonian formulation is then used to do Normal form analysis for one-dimensional interfacial localised patterns. We then present numerical results for these patterns and trace-out a two-parameter bifurcation diagram depicting the existence of one-dimensional interfacial localised patterns. Finally\, we present some preliminary results looking at a general nonlinear magnetisation law and two-dimensional interfacial localised patterns. Location: Keller Hall 3-180\, Joint US-Japan Workshop for Young Researchers on Interactions among Localized Patterns in Dissipative Systems(SW6.3-7.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/SW6.3-7.13/ Location: Keller Hall 3-180 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5200f060f DTSTAMP:20130523T122900 DTSTART:20130603T143000 DTEND:20130603T150000 SUMMARY:Break[2:30pm-3:00pm] DESCRIPTION: Break [ Location: Keller Hall 3-176\, Joint US-Japan Workshop for Young Researchers on Interactions among Localized Patterns in Dissipative Systems(SW6.3-7.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/SW6.3-7.13/ Location: Keller Hall 3-176 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5200f37f8 DTSTAMP:20130523T122900 DTSTART:20130603T150000 DTEND:20130603T153000 SUMMARY:Heterogeneity-induced Pulse Generators in Generalized FitzHugh-Nagumo System[3:00pm-3:30pm] DESCRIPTION: Heterogeneity-induced Pulse Generators in Generalized FitzHugh-Nagumo System Takashi Teramoto\, Asahikawa Medical College [ Heterogeneity is one of the most important and ubiquitous types of external perturbations. I study a spontaneous pulse generating mechanism caused by the heterogeneity of jump type. Such a pulse generator has attracted much interest in relation to potential computational abilities of pulse waves in physiological signal processing. Exploring the global bifurcation structure of pulse generators as periodic solutions\, I find firstly the conditions under which they emerge\, i.e.\, the onset of pulse generators\, secondly a candidate for the organizing center producing a variety of pulse generators. This is joint work with M. Yadome\, X. Yuan\, and Y. Nishiura. Location: Keller Hall 3-180\, Joint US-Japan Workshop for Young Researchers on Interactions among Localized Patterns in Dissipative Systems(SW6.3-7.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/SW6.3-7.13/ Location: Keller Hall 3-180 END:VEVENT BEGIN:VEVENT UID:imaevent-519e52010286a DTSTAMP:20130523T122900 DTSTART:20130603T153000 DTEND:20130603T160000 SUMMARY:Localized States Near Supercritical Turing Bifurcations in the 1:1 Forced Complex Ginzburg-Landau Equation[3:30pm-4:00pm] DESCRIPTION: Localized States Near Supercritical Turing Bifurcations in the 1:1 Forced Complex Ginzburg-Landau Equation Yi-Ping Ma\, Northwestern University [ Much previous work on localized states has focused on the vicinity of subcritical Turing bifurcations\, which create spatially uniform equilibria and spatially periodic patterns that are both stable. Indeed supercritical Turing bifurcations create stable Turing patterns together with *unstable* equilibria\, which are insufficient by themselves to form robust localized patterns. However\, recently robust localized patterns are found after a supercritical Turing bifurcation in the 1:1 forced complex Ginzburg-Landau equation\, in a parameter regime where the unstable equilibria connect to *stable* equilibria on an S-shaped bifurcation curve. Before the Turing bifurcation\, there exist localized states that resemble bounded fronts between two stable equilibria. The bifurcation structure\, spectral stability\, and temporal dynamics of these localized states in both one and two dimensions are determined using numerical continuation and direct numerical simulation. In particular\, the bifurcation structure of 1D steady localized patterns takes the form of defect-mediated snaking that differs sharply from standard homoclinic snaking. In 2D there exist both radially symmetric localized states including circular fronts and localized rings\, and fully 2D localized states including localized hexagons bounded by circular and planar fronts. This is joint work with E. Knobloch. Location: Keller Hall 3-180\, Joint US-Japan Workshop for Young Researchers on Interactions among Localized Patterns in Dissipative Systems(SW6.3-7.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/SW6.3-7.13/ Location: Keller Hall 3-180 END:VEVENT BEGIN:VEVENT UID:imaevent-519e520104d7b DTSTAMP:20130523T122900 DTSTART:20130603T160000 DTEND:20130603T170000 SUMMARY:Discussion[4:00pm-5:00pm] DESCRIPTION: Discussion [ Location: Keller Hall 3-180\, Joint US-Japan Workshop for Young Researchers on Interactions among Localized Patterns in Dissipative Systems(SW6.3-7.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/SW6.3-7.13/ Location: Keller Hall 3-180 END:VEVENT BEGIN:VEVENT UID:imaevent-519e520106a4a DTSTAMP:20130523T122900 DTSTART:20130603T180000 DTEND:20130603T200000 SUMMARY:Social Hour[6:00pm-8:00pm] DESCRIPTION: Social Hour [ Joint US-Japan Workshop for Young Researchers on Interactions among Localized Patterns in Dissipative Systems(SW6.3-7.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/SW6.3-7.13/ END:VEVENT BEGIN:VEVENT UID:imaevent-519e520108de7 DTSTAMP:20130523T122900 DTSTART:20130604T083000 DTEND:20130604T090000 SUMMARY:Coffee[8:30am-9:00am] DESCRIPTION: Coffee [ Location: Keller Hall 3-176\, Joint US-Japan Workshop for Young Researchers on Interactions among Localized Patterns in Dissipative Systems(SW6.3-7.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/SW6.3-7.13/ Location: Keller Hall 3-176 END:VEVENT BEGIN:VEVENT UID:imaevent-519e52010bf44 DTSTAMP:20130523T122900 DTSTART:20130604T090000 DTEND:20130604T100000 SUMMARY:Droplet Formation in Binary and Ternary Stochastic Systems[9:00am-10:00am] DESCRIPTION: Droplet Formation in Binary and Ternary Stochastic Systems Thomas Wanner\, George Mason University [ Stochastic partial differential equation systems serve as basic models for several phase separation phenomena in multi-component metal alloys. In a process called nucleation\, the additive noise in the system forces the formation of localized droplets formed by one or more components of the system. In this talk\, I will discuss dynamical aspects of this behavior in the context of stochastic versions of the celebrated Cahn-Hilliard and Cahn-Morral models. In addition to a brief description of the theoretical background\, numerical studies will be presented in the context of alloys consisting of three metallic components which give a statistical classification for the distribution of droplet types as the component structure of the alloy is varied. We relate these statistics to the equilibrium structure of the deterministic Cahn-Morral system and show that even highly unstable equilibria can be observed during the nucleation process\, and in fact serve as organizing centers for the dynamics. In addition\, we try to shed some light on the size of the generated droplets by considering binary systems perturbed by degenerate noise of certain wavelengths. Location: Keller Hall 3-180\, Joint US-Japan Workshop for Young Researchers on Interactions among Localized Patterns in Dissipative Systems(SW6.3-7.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/SW6.3-7.13/ Location: Keller Hall 3-180 END:VEVENT BEGIN:VEVENT UID:imaevent-519e52010e3f8 DTSTAMP:20130523T122900 DTSTART:20130604T100000 DTEND:20130604T101500 SUMMARY:Group Photo[10:00am-10:15am] DESCRIPTION: Group Photo [ Location: Keller Hall 3-180\, Joint US-Japan Workshop for Young Researchers on Interactions among Localized Patterns in Dissipative Systems(SW6.3-7.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/SW6.3-7.13/ Location: Keller Hall 3-180 END:VEVENT BEGIN:VEVENT UID:imaevent-519e520110788 DTSTAMP:20130523T122900 DTSTART:20130604T101500 DTEND:20130604T103000 SUMMARY:Break[10:15am-10:30am] DESCRIPTION: Break [ Location: Keller Hall 3-176\, Joint US-Japan Workshop for Young Researchers on Interactions among Localized Patterns in Dissipative Systems(SW6.3-7.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/SW6.3-7.13/ Location: Keller Hall 3-176 END:VEVENT BEGIN:VEVENT UID:imaevent-519e520113788 DTSTAMP:20130523T122900 DTSTART:20130604T103000 DTEND:20130604T113000 SUMMARY:A Spectral Theory of Linear Operators on a Gelfand Triplet and its Application to Coupled Oscillators[10:30am-11:30am] DESCRIPTION: A Spectral Theory of Linear Operators on a Gelfand Triplet and its Application to Coupled Oscillators Hayato Chiba\, Kyushu University [ The Kuramoto model is a system of ordinary differential equations for describing synchronization phenomena defined as a coupled phase oscillators. In this talk\, an infinite dimensional Kuramoto model is considered\, and Kuramoto's conjecture on a bifurcation diagram of the system will be proved. A linear operator obtained from the infinite dimensional Kuramoto model has the continuous spectrum on the imaginary axis\, so that the usual spectrum does not determine the dynamics. To handle such continuous spectra\, a new spectral theory of linear operators based on Gelfand triplets is developed. In particular\, a generalized eigenvalue (resonance) is defined. It is proved that a generalized eigenvalue determines the stability and bifurcation of the system. Location: Keller Hall 3-180\, Joint US-Japan Workshop for Young Researchers on Interactions among Localized Patterns in Dissipative Systems(SW6.3-7.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/SW6.3-7.13/ Location: Keller Hall 3-180 END:VEVENT BEGIN:VEVENT UID:imaevent-519e52011534c DTSTAMP:20130523T122900 DTSTART:20130604T113000 DTEND:20130604T133000 SUMMARY:Lunch[11:30am-1:30pm] DESCRIPTION: Lunch [ Joint US-Japan Workshop for Young Researchers on Interactions among Localized Patterns in Dissipative Systems(SW6.3-7.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/SW6.3-7.13/ END:VEVENT BEGIN:VEVENT UID:imaevent-519e52011847c DTSTAMP:20130523T122900 DTSTART:20130604T133000 DTEND:20130604T140000 SUMMARY:Periodic Orbits of Dissipative PDEs via Rigorous Numerics: the Kuramoto-Sivashinsky Equation[1:30pm-2:00pm] DESCRIPTION: Periodic Orbits of Dissipative PDEs via Rigorous Numerics: the Kuramoto-Sivashinsky Equation Jean-Philippe Lessard\, Laval University [ In this talk\, we introduce a rigorous computational method for periodic orbits of dissipative PDEs. The idea is to consider a space-time Fourier expansion of a periodic solution and to solve for its Fourier coefficients in a space of algebraically decaying sequences. The rigorous computation is based on the radii polynomials approach\, which provide an efficient means of constructing a ball centered at a numerical approximation which contains a genuine periodic solution. We apply this method to show the existence of several periodic solutions in the Kuramoto-Sivashinsky equation. This is joint work with Marcio Gameiro (Sao Carlos\, Brazil). Location: Keller Hall 3-180\, Joint US-Japan Workshop for Young Researchers on Interactions among Localized Patterns in Dissipative Systems(SW6.3-7.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/SW6.3-7.13/ Location: Keller Hall 3-180 END:VEVENT BEGIN:VEVENT UID:imaevent-519e52011b7f9 DTSTAMP:20130523T122900 DTSTART:20130604T140000 DTEND:20130604T143000 SUMMARY:Persistent Homology to Protein Structural Analysis[2:00pm-2:30pm] DESCRIPTION: Persistent Homology to Protein Structural Analysis Yasu Hiraoka\, Kyushu University [ Persistent homology and persistent diagrams have been developed as tools of topological data analysis. They provide a robust topological characterization of a given (discrete) geometrical data. In this talk\, I will present our recent researches on applying persistent diagrams to protein structural analysis. Topological characterizations of protein compressibilities and H/D exchanges will be explained in detail. Time permitting\, I will also introduce a notion of the three ladder persistence as representaions on a certain class of associative algebra\, which will be useful for comparing two proteins in view of homological information. Location: Keller Hall 3-180\, Joint US-Japan Workshop for Young Researchers on Interactions among Localized Patterns in Dissipative Systems(SW6.3-7.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/SW6.3-7.13/ Location: Keller Hall 3-180 END:VEVENT BEGIN:VEVENT UID:imaevent-519e52011dc5a DTSTAMP:20130523T122900 DTSTART:20130604T143000 DTEND:20130604T150000 SUMMARY:Break[2:30pm-3:00pm] DESCRIPTION: Break [ Location: Keller Hall 3-176\, Joint US-Japan Workshop for Young Researchers on Interactions among Localized Patterns in Dissipative Systems(SW6.3-7.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/SW6.3-7.13/ Location: Keller Hall 3-176 END:VEVENT BEGIN:VEVENT UID:imaevent-519e520120f5d DTSTAMP:20130523T122900 DTSTART:20130604T150000 DTEND:20130604T153000 SUMMARY:Analyzing the dynamics of pattern formation in the space of persistence diagrams[3:00pm-3:30pm] DESCRIPTION: Analyzing the dynamics of pattern formation in the space of persistence diagrams Miroslav Kramar\, Rutgers University [ Persistence diagrams are extremely useful for describing complicated patterns in a simple but meaningful way. We will demonstrate this idea on the patterns appearing in the convection flows and granular media. This procedure allows us to transform samples from the experiment into a point cloud in the space of persistence diagrams. The space of persistence diagrams is a complete metric space. There is a whole family of matrices on this space. By choosing different metrics one can interrogate the pattern locally or globally which provides deeper insight into the dynamic of the process of pattern formation. The Morse-Conley database can be used to identify invariant sets of the dynamical system. We will concentrate on fixed points and periodic orbits. Location: Keller Hall 3-180\, Joint US-Japan Workshop for Young Researchers on Interactions among Localized Patterns in Dissipative Systems(SW6.3-7.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/SW6.3-7.13/ Location: Keller Hall 3-180 END:VEVENT BEGIN:VEVENT UID:imaevent-519e520124240 DTSTAMP:20130523T122900 DTSTART:20130604T153000 DTEND:20130604T160000 SUMMARY:First and Second Order Semi-strong Interaction in Reaction-Diffusion Systems[3:30pm-4:00pm] DESCRIPTION: First and Second Order Semi-strong Interaction in Reaction-Diffusion Systems Jens Rademacher\, Universität Bremen [ We consider the asymptotic interaction laws of pulses and fronts in the so-called semi-strong regime of strongly differing diffusion lengths for reaction-diffusion systems. An asymptotic expansion and matching approach is applied in a model independent unifying framework. In contrast to the universal laws of motion arising in weak interaction\, semi-strong interaction comes in different types that we refer to as first and second order. For illustration\, we focus on a class of examples that includes the Gray-Scott and Schnakenberg models. Location: Keller Hall 3-180\, Joint US-Japan Workshop for Young Researchers on Interactions among Localized Patterns in Dissipative Systems(SW6.3-7.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/SW6.3-7.13/ Location: Keller Hall 3-180 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5201265ab DTSTAMP:20130523T122900 DTSTART:20130604T160000 DTEND:20130604T180000 SUMMARY:Reception and Poster Session[4:00pm-6:00pm] DESCRIPTION: Reception and Poster Session [ Location: Keller Hall 3-180\, Joint US-Japan Workshop for Young Researchers on Interactions among Localized Patterns in Dissipative Systems(SW6.3-7.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/SW6.3-7.13/ Location: Keller Hall 3-180 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5201288de DTSTAMP:20130523T122900 DTSTART:20130605T083000 DTEND:20130605T090000 SUMMARY:Coffee[8:30am-9:00am] DESCRIPTION: Coffee [ Location: Keller Hall 3-176\, Joint US-Japan Workshop for Young Researchers on Interactions among Localized Patterns in Dissipative Systems(SW6.3-7.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/SW6.3-7.13/ Location: Keller Hall 3-176 END:VEVENT BEGIN:VEVENT UID:imaevent-519e52012b8d0 DTSTAMP:20130523T122900 DTSTART:20130605T090000 DTEND:20130605T094500 SUMMARY:Flow structures and wall shear stress patterns in the thoracic aorta[9:00am-9:45am] DESCRIPTION: Flow structures and wall shear stress patterns in the thoracic aorta Hiroshi Suito\, Okayama University [ Thoracic endovascular aortic repair (TEVAR) has become widely accepted as an important option for treatment of thoracic aortic diseases. Many studies have proven the safety and efficacy of TEVAR with satisfactory short-term to mid-term outcomes. Nevertheless\, even if the initial TEVAR treatment technically succeeds\, some patients show recurrence and progression of disease many years after treatment. Based on long-term follow-up examinations\, it has been inferred that such long-term morphological changes and hemodynamics interact with positive feedbacks. The wall shear stresses show different patterns depending on the original aorta morphologies. In this talk\, the relationship between them will be discussed using patient-specific models of the thoracic aorta as constructed from CT scans. Location: Keller Hall 3-180\, Joint US-Japan Workshop for Young Researchers on Interactions among Localized Patterns in Dissipative Systems(SW6.3-7.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/SW6.3-7.13/ Location: Keller Hall 3-180 END:VEVENT BEGIN:VEVENT UID:imaevent-519e52012dc42 DTSTAMP:20130523T122900 DTSTART:20130605T094500 DTEND:20130605T101500 SUMMARY:Break[9:45am-10:15am] DESCRIPTION: Break [ Location: Keller Hall 3-176\, Joint US-Japan Workshop for Young Researchers on Interactions among Localized Patterns in Dissipative Systems(SW6.3-7.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/SW6.3-7.13/ Location: Keller Hall 3-176 END:VEVENT BEGIN:VEVENT UID:imaevent-519e520130d77 DTSTAMP:20130523T122900 DTSTART:20130605T101500 DTEND:20130605T110000 SUMMARY:Localized States in the Conserved Swift-Hohenberg Equation[10:15am-11:00am] DESCRIPTION: Localized States in the Conserved Swift-Hohenberg Equation Edgar Knobloch\, University of California\, Berkeley [ The conserved Swift-Hohenberg equation with cubic nonlinearity provides the simplest microscopic description of the thermodynamic transition from a fluid state to a crystalline state. The resulting phase field crystal model describes a variety of spatially localized structures\, in addition to different spatially extended periodic structures. The location of these structures in the temperature versus mean order parameter plane is determined using a combination of numerical continuation in one dimension and direct numerical simulation in two and three dimensions. Localized states are found in the region of thermodynamic coexistence between the homogeneous and structured phases\, and may lie outside of the binodal for these states. The results are related to the phenomenon of slanted snaking but take the form of standard homoclinic snaking when the mean order parameter is plotted as a function of the chemical potential\, and are expected to carry over to related models with a conserved order parameter. This work is joint work with U Thiele\, A J Archer\, M J Robbins and H Gomez. Location: Keller Hall 3-180\, Joint US-Japan Workshop for Young Researchers on Interactions among Localized Patterns in Dissipative Systems(SW6.3-7.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/SW6.3-7.13/ Location: Keller Hall 3-180 END:VEVENT BEGIN:VEVENT UID:imaevent-519e520133fa3 DTSTAMP:20130523T122900 DTSTART:20130605T110000 DTEND:20130605T114500 SUMMARY:Logrithm Expansions and Refined Stability Thresholds for Multiple Spots in Reaction-diffusion Systems on a Two-dimensional Domain[11:00am-11:45am] DESCRIPTION: Logrithm Expansions and Refined Stability Thresholds for Multiple Spots in Reaction-diffusion Systems on a Two-dimensional Domain Jun-Cheng Wei\, Chinese University of Hong Kong [ We consider the problem of refined stability thresholds for multiple spots in general reaction-diffusion systems (Gierer-Meinhardt\, Schnakenberg\, Gray-Scott\,...). The stability thresholds given by Wei-Winter (2001\, 2003) provide the leading logrithm order which doesnot depend on the location. Here we obtain the next O(1) term in terms of Green's function on the locations. We then combine with Floquet-Bloch theory to study which lattice of spots in the whole space is the most stable. (Joint work with D. Iron and M. Ward). Location: Keller Hall 3-180\, Joint US-Japan Workshop for Young Researchers on Interactions among Localized Patterns in Dissipative Systems(SW6.3-7.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/SW6.3-7.13/ Location: Keller Hall 3-180 END:VEVENT BEGIN:VEVENT UID:imaevent-519e520135d89 DTSTAMP:20130523T122900 DTSTART:20130605T114500 DTEND:20130605T133000 SUMMARY:Lunch[11:45am-1:30pm] DESCRIPTION: Lunch [ Joint US-Japan Workshop for Young Researchers on Interactions among Localized Patterns in Dissipative Systems(SW6.3-7.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/SW6.3-7.13/ END:VEVENT BEGIN:VEVENT UID:imaevent-519e52013914c DTSTAMP:20130523T122900 DTSTART:20130605T133000 DTEND:20130605T140000 SUMMARY:Front Invasion Problems in Systems of Reaction-diffusion Equations[1:30pm-2:00pm] DESCRIPTION: Front Invasion Problems in Systems of Reaction-diffusion Equations Matt Holzer\, University of Minnesota [ In this talk\, I will discuss some recent results concerning front propagation into unstable states in systems of reaction-diffusion equations. The system aspect will be key. The focus will be on some of the qualitative differences between wavespeed selection in systems of reaction-diffusion equations and their scalar counterparts. In particular\, we will consider some examples of coupled Fisher-KPP equations. Location: Keller Hall 3-180\, Joint US-Japan Workshop for Young Researchers on Interactions among Localized Patterns in Dissipative Systems(SW6.3-7.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/SW6.3-7.13/ Location: Keller Hall 3-180 END:VEVENT BEGIN:VEVENT UID:imaevent-519e52013c130 DTSTAMP:20130523T122900 DTSTART:20130605T140000 DTEND:20130605T143000 SUMMARY:A Variational Approach to Volume-constrained Membrane Motions[2:00pm-2:30pm] DESCRIPTION: A Variational Approach to Volume-constrained Membrane Motions Elliott Ginder\, Hokkaido University [ We present on the use of minimizing movements for analyzing certain free boundary problems expressing the motion of liquid droplets and bubbles. The variational nature of our approach allows one to constrain the volume of each droplet\, as well as to control the contact angles that each makes with obstacles. We will discuss the corresponding numerical methods and then show the results of these methods applied to both scalar and non-scalar motions. Location: Keller Hall 3-180\, Joint US-Japan Workshop for Young Researchers on Interactions among Localized Patterns in Dissipative Systems(SW6.3-7.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/SW6.3-7.13/ Location: Keller Hall 3-180 END:VEVENT BEGIN:VEVENT UID:imaevent-519e52013e4c3 DTSTAMP:20130523T122900 DTSTART:20130605T143000 DTEND:20130605T150000 SUMMARY:Break[2:30pm-3:00pm] DESCRIPTION: Break [ Location: Keller Hall 3-176\, Joint US-Japan Workshop for Young Researchers on Interactions among Localized Patterns in Dissipative Systems(SW6.3-7.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/SW6.3-7.13/ Location: Keller Hall 3-176 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5201416bf DTSTAMP:20130523T122900 DTSTART:20130605T150000 DTEND:20130605T153000 SUMMARY:Travelling Wave Solutions Arising in a Model of Tumour Invasion[3:00pm-3:30pm] DESCRIPTION: Travelling Wave Solutions Arising in a Model of Tumour Invasion Petrus van Heijster\, Queensland University of Technology [ We present results for an advection-reaction-diffusion model describing malignant tumour (i.e. skin cancer) invasion. Numerical solutions indicate that both smooth and shock-fronted travelling wave solutions exist for this model. We verify the existence of both type of these solutions using techniques from geometric singular perturbation theory and canard theory. Moreover\, we provide numerical results on the stability of the waves and the actual observed wave speeds. This is joint work with K. Harley\, G. Pettet\, R. Marangell and M. Wechselberger. Location: Keller Hall 3-180\, Joint US-Japan Workshop for Young Researchers on Interactions among Localized Patterns in Dissipative Systems(SW6.3-7.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/SW6.3-7.13/ Location: Keller Hall 3-180 END:VEVENT BEGIN:VEVENT UID:imaevent-519e520144848 DTSTAMP:20130523T122900 DTSTART:20130605T153000 DTEND:20130605T160000 SUMMARY:Pattern formation in nonlocal PDEs[3:30pm-4:00pm] DESCRIPTION: Pattern formation in nonlocal PDEs David Thomas Uminsky\, University of San Francisco [ Location: Keller Hall 3-180\, Joint US-Japan Workshop for Young Researchers on Interactions among Localized Patterns in Dissipative Systems(SW6.3-7.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/SW6.3-7.13/ Location: Keller Hall 3-180 END:VEVENT BEGIN:VEVENT UID:imaevent-519e520146b5d DTSTAMP:20130523T122900 DTSTART:20130605T160000 DTEND:20130605T170000 SUMMARY:Discussion[4:00pm-5:00pm] DESCRIPTION: Discussion [ Location: Keller Hall 3-180\, Joint US-Japan Workshop for Young Researchers on Interactions among Localized Patterns in Dissipative Systems(SW6.3-7.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/SW6.3-7.13/ Location: Keller Hall 3-180 END:VEVENT BEGIN:VEVENT UID:imaevent-519e52014868c DTSTAMP:20130523T122900 DTSTART:20130605T200000 DTEND:20130605T210000 SUMMARY:Informal Social Event[8:00pm-9:00pm] DESCRIPTION: Informal Social Event [ Joint US-Japan Workshop for Young Researchers on Interactions among Localized Patterns in Dissipative Systems(SW6.3-7.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/SW6.3-7.13/ END:VEVENT BEGIN:VEVENT UID:imaevent-519e52014a958 DTSTAMP:20130523T122900 DTSTART:20130606T083000 DTEND:20130606T090000 SUMMARY:Coffee[8:30am-9:00am] DESCRIPTION: Coffee [ Location: Keller Hall 3-176\, Joint US-Japan Workshop for Young Researchers on Interactions among Localized Patterns in Dissipative Systems(SW6.3-7.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/SW6.3-7.13/ Location: Keller Hall 3-176 END:VEVENT BEGIN:VEVENT UID:imaevent-519e52014dc2c DTSTAMP:20130523T122900 DTSTART:20130606T090000 DTEND:20130606T100000 SUMMARY:Hydrodynamic Interactions of Self-Propelled Bodies[9:00am-10:00am] DESCRIPTION: Hydrodynamic Interactions of Self-Propelled Bodies Eva Kanso\, University of Southern California [ We present a family of dipole models for describing the far-field hydrodynamic interactions in populations of self-propelled bodies. Interestingly\, but perhaps not surprisingly\, the dipolar far-field effect is descriptive of swimming bodies (e.g.\, fish) at high Re numbers as well as self-propelled particles (e.g.\, bacteria) in confined geometries such as in Hele-Shaw cells. We argue that our models can be used in both contexts\, that is\, fish schooling and confined motile micro-particles. We then discuss some of the physical insights these models bring to the large-scale behavior of these systems. Location: Keller Hall 3-180\, Joint US-Japan Workshop for Young Researchers on Interactions among Localized Patterns in Dissipative Systems(SW6.3-7.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/SW6.3-7.13/ Location: Keller Hall 3-180 END:VEVENT BEGIN:VEVENT UID:imaevent-519e52014ff1a DTSTAMP:20130523T122900 DTSTART:20130606T100000 DTEND:20130606T103000 SUMMARY:Break[10:00am-10:30am] DESCRIPTION: Break [ Location: Keller Hall 3-176\, Joint US-Japan Workshop for Young Researchers on Interactions among Localized Patterns in Dissipative Systems(SW6.3-7.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/SW6.3-7.13/ Location: Keller Hall 3-176 END:VEVENT BEGIN:VEVENT UID:imaevent-519e520152eeb DTSTAMP:20130523T122900 DTSTART:20130606T103000 DTEND:20130606T113000 SUMMARY:Stability of Butterfly's Flight[10:30am-11:30am] DESCRIPTION: Stability of Butterfly's Flight Naoto Yokoyama\, Kyoto University [ The stability of the forward flight of a periodically-flapping butterfly is numerically investigated. The flight is longitudinally unstable owing to the flapping motion and the flow structures\, and the control of the pitching angle is essential for stable periodic flights. The control is observed to be done by the abdominal motion\, and the butterflies adopt a different approach to stabilize the flight from the human-made control systems. The control mechanism of butterfly's flapping flights will be discussed by comparing to the other control systems. This is joint work with Kei Senda\, Makoto Iima and Norio Hirai. Location: Keller Hall 3-180\, Joint US-Japan Workshop for Young Researchers on Interactions among Localized Patterns in Dissipative Systems(SW6.3-7.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/SW6.3-7.13/ Location: Keller Hall 3-180 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5201549f4 DTSTAMP:20130523T122900 DTSTART:20130606T113000 DTEND:20130606T130000 SUMMARY:Lunch[11:30am-1:00pm] DESCRIPTION: Lunch [ Joint US-Japan Workshop for Young Researchers on Interactions among Localized Patterns in Dissipative Systems(SW6.3-7.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/SW6.3-7.13/ END:VEVENT BEGIN:VEVENT UID:imaevent-519e520157afb DTSTAMP:20130523T122900 DTSTART:20130606T130000 DTEND:20130606T134500 SUMMARY:The Swimmer-Boundary Fluid Interaction at Low Reynolds Number[1:00pm-1:45pm] DESCRIPTION: The Swimmer-Boundary Fluid Interaction at Low Reynolds Number Kenta Ishimoto\, Kyoto University [ It is known that some microorganisms accumulate near a boundary\, which has been recently found a hydrodynamic phenomenon. To understand the diversity and complexity on the behavior and to give a comprehensive explanation\, we have numerically investigated motion of an ellipsoidal squirmer in Stokes flow swimming near both a no-slip and free-slip infinite plane boundary. It is found that the fluid interaction due to the no-slip boundary is not only purely attractive or repulsive but rather more complicated with depending on the cell geometry and stroke pattern. Compared with the no-slip boundary\, the swimmer cannot be stably confined near the boundary in presence of the free-slip boundary. As an example\, swimming stability of a model sperm cell near a boundary will be also discussed. Location: Keller Hall 3-180\, Joint US-Japan Workshop for Young Researchers on Interactions among Localized Patterns in Dissipative Systems(SW6.3-7.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/SW6.3-7.13/ Location: Keller Hall 3-180 END:VEVENT BEGIN:VEVENT UID:imaevent-519e52015ad0a DTSTAMP:20130523T122900 DTSTART:20130606T134500 DTEND:20130606T143000 SUMMARY:Insights into Vortex Mergers from Reduced-Order Model[1:45pm-2:30pm] DESCRIPTION: Insights into Vortex Mergers from Reduced-Order Model Fangxu Jing\, University of Southern California [ We model various configurations of vortex merger problems for the Navier-Stokes equations using the core growth model for vorticity evolution coupled with the passive particle field and an appropriately chosen time-dependent rotating reference frame. Using the combined tools of analyzing the topology of the streamline patterns along with the careful tracking of passive fields\, we highlight the key features of the stages of evolution of vortex merger\, pinpointing deficiencies in the low-dimensional model with respect to similar experimental/numerical studies. The model\, however\, reveals a far richer and delicate sequence of topological bifurcations than has previously been discussed in the literature for this problem\, and\, at the same time\, points the way towards a method of improving the model\, which might provide further insight of the merging process\, especially in how the vortex merger starts. This is joint work with Eva Kanso\, Paul K. Newton and David T. Uminsky. Location: Keller Hall 3-180\, Joint US-Japan Workshop for Young Researchers on Interactions among Localized Patterns in Dissipative Systems(SW6.3-7.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/SW6.3-7.13/ Location: Keller Hall 3-180 END:VEVENT BEGIN:VEVENT UID:imaevent-519e52015d0ef DTSTAMP:20130523T122900 DTSTART:20130606T143000 DTEND:20130606T150000 SUMMARY:Break[2:30pm-3:00pm] DESCRIPTION: Break [ Location: Keller Hall 3-176\, Joint US-Japan Workshop for Young Researchers on Interactions among Localized Patterns in Dissipative Systems(SW6.3-7.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/SW6.3-7.13/ Location: Keller Hall 3-176 END:VEVENT BEGIN:VEVENT UID:imaevent-519e52016022c DTSTAMP:20130523T122900 DTSTART:20130606T150000 DTEND:20130606T154500 SUMMARY:Spontaneous Motion of a Droplet Driven by Interfacial Tension Gradient[3:00pm-3:45pm] DESCRIPTION: Spontaneous Motion of a Droplet Driven by Interfacial Tension Gradient Hiroyuki Kitahata\, Chiba University [ A self-propelled systems have attracted broader interest. I will introduce following two systems in which a droplet exhibits spontaneous motion induced by interfacial tension gradient. We consider mathematical model based on Stokes equation\, and compare the theoretical results with experimental ones. (i) We proposed a theoretical framework for the spontaneous motion of a droplet coupled with pattern formation inside it in a three-dimensional system. The nonlinearity of the chemical process inside the droplet induces inhomogeneous concentration profile\, which leads to interfacial tension gradient at the droplet interface. The droplet is driven by the gradient through the surrounding flow due to the Marangoni effect. We also demonstrated experiments in which Belousov-Zhabotinsky (BZ) reaction droplet is moving coupled with chemical waves inside it. (ii) We analyze spontaneous rotation of a droplet induced by the Marangoni flow in a two-dimensional system. The droplet with the small particle which supplies a surfactant at the interface is considered. We calculated flow field around the droplet using the Stokes equation and found that advective nonlinearity breaks symmetry for rotation. Theoretical calculation indicates that the droplet spontaneously rotates when the radius of the droplet is an appropriate size. Reference: H. Kitahata\, N. Yoshinaga\, K. H. Nagai\, and Y. Sumino\, Phys. Rev. E\, 84\, 015101 (2011). H. Kitahata\, N. Yoshinaga\, K. H. Nagai\, and Y. Sumino\, Chem. Lett.\, 41\, 1052 (2012). K. H. Nagai\, F. Takabatake\, Y. Sumino\, H. Kitahata\, M. Ichikawa\, and N. Yoshinaga\, Phys. Rev. E\, 87\, 013009 (2013). Location: Keller Hall 3-180\, Joint US-Japan Workshop for Young Researchers on Interactions among Localized Patterns in Dissipative Systems(SW6.3-7.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/SW6.3-7.13/ Location: Keller Hall 3-180 END:VEVENT BEGIN:VEVENT UID:imaevent-519e520163407 DTSTAMP:20130523T122900 DTSTART:20130606T154500 DTEND:20130606T163000 SUMMARY:Applications of Vortex Dynamics in Multiply-connected Domains[3:45pm-4:30pm] DESCRIPTION: Applications of Vortex Dynamics in Multiply-connected Domains Rhodri Nelson\, Hokkaido University [ Some brief examples of systems where the motion of vortices play an important role in the dynamics will first be discussed to motivate the remainder material to be presented. Following this\, the equations of motion governing the motion of point vortices in multiply-connected domains (for inviscid\, incompressible fluids) will be introduced. A method for numerically calculating equilibria in multiply connected domains\, applied to a Kasper Wing configuration\, will then be presented and various properties of the flow (for example\, the lift on the airfoils) will be analyzed. Time permitting\, the motion of finite patches of constant vorticity in multiply-connected domains will then be introduced and used to study the robustness of the Kasper wing equilibria. Location: Keller Hall 3-180\, Joint US-Japan Workshop for Young Researchers on Interactions among Localized Patterns in Dissipative Systems(SW6.3-7.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/SW6.3-7.13/ Location: Keller Hall 3-180 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5201656ef DTSTAMP:20130523T122900 DTSTART:20130606T163000 DTEND:20130606T173000 SUMMARY:Discussion[4:30pm-5:30pm] DESCRIPTION: Discussion [ Location: Keller Hall 3-180\, Joint US-Japan Workshop for Young Researchers on Interactions among Localized Patterns in Dissipative Systems(SW6.3-7.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/SW6.3-7.13/ Location: Keller Hall 3-180 END:VEVENT BEGIN:VEVENT UID:imaevent-519e520167458 DTSTAMP:20130523T122900 DTSTART:20130606T200000 DTEND:20130606T210000 SUMMARY:Informal Social Event[8:00pm-9:00pm] DESCRIPTION: Informal Social Event [ Joint US-Japan Workshop for Young Researchers on Interactions among Localized Patterns in Dissipative Systems(SW6.3-7.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/SW6.3-7.13/ END:VEVENT BEGIN:VEVENT UID:imaevent-519e52016973a DTSTAMP:20130523T122900 DTSTART:20130607T083000 DTEND:20130607T090000 SUMMARY:Coffee[8:30am-9:00am] DESCRIPTION: Coffee [ Location: Keller Hall 3-176\, Joint US-Japan Workshop for Young Researchers on Interactions among Localized Patterns in Dissipative Systems(SW6.3-7.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/SW6.3-7.13/ Location: Keller Hall 3-176 END:VEVENT BEGIN:VEVENT UID:imaevent-519e52016c800 DTSTAMP:20130523T122900 DTSTART:20130607T090000 DTEND:20130607T094000 SUMMARY:Topics in Localized Patterns: Hot Spot Patterns of Urban Crime and Localized Patterns on the Sphere[9:00am-9:40am] DESCRIPTION: Topics in Localized Patterns: Hot Spot Patterns of Urban Crime and Localized Patterns on the Sphere Michael J. Ward\, University of British Columbia [ Two topics in the theory and applications of localized pattern formation are discussed. 1) Hot-spot patterns of urban crime\; 2) Localized patterns for the Brusselator on the sphere. We analyze localized patterns of criminal activity for some reaction-diffusion models of urban crime introduced by Short et al. Such patterns\, characterized by the concentration of criminal activity in localized spatial regions\, are referred to as hot-spot patterns and they occur in a parameter regime far from the Turing point associated with the bifurcation of spatially uniform solutions. Hot-spot patterns are constructed and their stability properties analyzed from a new class of nonlocal eigenvalue problems for a three-component RD system where the effect of police deterrence is included. The stability analysis of hot-spot solutions suggest optimal strategies for police enforcement. Secondly\, we show that there is a parameter regime where hot-spot patterns can nucleate from a quiescent background when the inter hot-spot spacing exceeds a threshold. The bifurcation structure and dynamical behavior of hot-spot patterns in this regime is analyzed. Next\, we study the existence and stability of localized spot patterns for the Brusselator RD model on the surface of the sphere. A key difficulty with a weakly nonlinear analysis of patterns on the sphere is that the Laplacian eigenfunctions exhibit a high degree of mode degeneracy. In contrast\, in the context of localized pattern\, spot patterns for the Brusselator on the sphere are shown to exhibit three types of instabilities: self-replication\, competition\, and oscillatory instabilities of the spot amplitudes. An analysis of these instabilities is given and the results are compared with full numerical computations. The study of localized patterns on the sphere has some similarity to the well-studied problem of Eulerian point vortices on the sphere. Location: Keller Hall 3-180\, Joint US-Japan Workshop for Young Researchers on Interactions among Localized Patterns in Dissipative Systems(SW6.3-7.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/SW6.3-7.13/ Location: Keller Hall 3-180 END:VEVENT BEGIN:VEVENT UID:imaevent-519e52016f97b DTSTAMP:20130523T122900 DTSTART:20130607T094000 DTEND:20130607T102000 SUMMARY:Dynamics of Localized Solutions for Reaction-diffusion Systems on Curved Surface[9:40am-10:20am] DESCRIPTION: Dynamics of Localized Solutions for Reaction-diffusion Systems on Curved Surface Shin-Ichiro Ei\, Kyushu University [ The movement of a localized pattern appearing after Turing instability is a much attractive topic. In this talk\, we consider reaction-diffusion systems which possess localized solutions in two dimensional spaces and investigate the dynamics of the solutions on a two dimensional curved surface. In order to analyze them\, we first assume the existence of a linearly stable localized solution in the whole space and consider the movement of the solution when the domain is deformed to a curved surface. By using the center manifold reduction\, we can reduce the dynamics to ODE systems expressed by the gradient of curvatures. Location: Keller Hall 3-180\, Joint US-Japan Workshop for Young Researchers on Interactions among Localized Patterns in Dissipative Systems(SW6.3-7.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/SW6.3-7.13/ Location: Keller Hall 3-180 END:VEVENT BEGIN:VEVENT UID:imaevent-519e520171e95 DTSTAMP:20130523T122900 DTSTART:20130607T102000 DTEND:20130607T105000 SUMMARY:Break[10:20am-10:50am] DESCRIPTION: Break [ Location: Keller Hall 3-176\, Joint US-Japan Workshop for Young Researchers on Interactions among Localized Patterns in Dissipative Systems(SW6.3-7.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/SW6.3-7.13/ Location: Keller Hall 3-176 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5201750cf DTSTAMP:20130523T122900 DTSTART:20130607T105000 DTEND:20130607T113000 SUMMARY:Localized Co-Dimension 1 Structures in the Functionalized Cahn-Hilliard Model[10:50am-11:30am] DESCRIPTION: Localized Co-Dimension 1 Structures in the Functionalized Cahn-Hilliard Model Arjen Doelman\, Rijksuniversiteit te Leiden [ The functionalized Cahn-Hilliard (fCH) equation is a a model for interfacial energy in phase separated mixtures with an amphiphilic structure. On the one hand\, it has recently attracted attention in the study of polymer-electrolyte membranes in which hydrophobic polymers are functionalized by the addition of anorganic side chains. On the other hand\, it has captured the attention as a rich mathematical model that describes the intriguing formation\, interactions and dynamics of localized structures of varying co-dimension: bi-layers\, pores and micelles. Here\, we focus on the most simple co-dimension 1 bi-layer structures in 3 space-dimensions: flat plates and spherical or cylindrical shells. The existence problem for stationary structures corresponds to constructing homoclinic solutions in a 4-dimensional (spatial) dynamical system that has the structure of a perturbed integrable Hamiltonian system. The stability of the plates and/or shells is established by a careful analysis of the 4th-order linearized operator associated to these homoclinic solutions. Two potential destabilization mechanisms well-known from observations – the meandering and the pearling instability – play a central role in the analysis. While the meandering instability is strongly linked to both the local geometry of the bi-layer and its interactions with other bi-layers\, our results indicate that the pearling instability only depends on the parameters of the model and the nature of the underlying double-well potential. Location: Keller Hall 3-180\, Joint US-Japan Workshop for Young Researchers on Interactions among Localized Patterns in Dissipative Systems(SW6.3-7.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/SW6.3-7.13/ Location: Keller Hall 3-180 END:VEVENT BEGIN:VEVENT UID:imaevent-519e520177400 DTSTAMP:20130523T122900 DTSTART:20130607T113000 DTEND:20130607T123000 SUMMARY:Discussion[11:30am-12:30pm] DESCRIPTION: Discussion [ Location: Keller Hall 3-180\, Joint US-Japan Workshop for Young Researchers on Interactions among Localized Patterns in Dissipative Systems(SW6.3-7.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/SW6.3-7.13/ Location: Keller Hall 3-180 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5201785c0 DTSTAMP:20130523T122900 DTSTART:20130610T150000 DTEND:20130610T153000 SUMMARY:Coffee break[3:00pm-3:30pm] DESCRIPTION: Coffee break [ Location: Lind Hall 400\, ] Location: Lind Hall 400 END:VEVENT BEGIN:VEVENT UID:imaevent-519e52017aa2c DTSTAMP:20130523T122900 DTSTART:20130611T083000 DTEND:20130611T091500 SUMMARY:Coffee and Registration[8:30am-9:15am] DESCRIPTION: Coffee and Registration [ Location: Lind Hall 400\, Mathematical and Computational Challenges in the Control\, Optimization\, and Design of Energy-Efficient Buildings(SW6.11-14.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/SW6.11-14.13/ Location: Lind Hall 400 END:VEVENT BEGIN:VEVENT UID:imaevent-519e52017cf18 DTSTAMP:20130523T122900 DTSTART:20130611T091500 DTEND:20130611T093000 SUMMARY:Welcome to the IMA[9:15am-9:30am] DESCRIPTION: Welcome to the IMA [ Location: Lind Hall 305\, Mathematical and Computational Challenges in the Control\, Optimization\, and Design of Energy-Efficient Buildings(SW6.11-14.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/SW6.11-14.13/ Location: Lind Hall 305 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5201802b3 DTSTAMP:20130523T122900 DTSTART:20130611T093000 DTEND:20130611T102000 SUMMARY:Overview Part I[9:30am-10:20am] DESCRIPTION: Overview Part I Satish Narayanan\, United Technologies Corporation [ Location: Lind Hall 305\, Mathematical and Computational Challenges in the Control\, Optimization\, and Design of Energy-Efficient Buildings(SW6.11-14.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/SW6.11-14.13/ Location: Lind Hall 305 END:VEVENT BEGIN:VEVENT UID:imaevent-519e520182659 DTSTAMP:20130523T122900 DTSTART:20130611T103000 DTEND:20130611T110000 SUMMARY:Discussion and Coffee Break[10:30am-11:00am] DESCRIPTION: Discussion and Coffee Break [ Location: Lind Hall 400\, Mathematical and Computational Challenges in the Control\, Optimization\, and Design of Energy-Efficient Buildings(SW6.11-14.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/SW6.11-14.13/ Location: Lind Hall 400 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5201854e6 DTSTAMP:20130523T122900 DTSTART:20130611T110000 DTEND:20130611T115000 SUMMARY:Overview Part II[11:00am-11:50am] DESCRIPTION: Overview Part II Satish Narayanan\, United Technologies Corporation [ Location: Lind Hall 305\, Mathematical and Computational Challenges in the Control\, Optimization\, and Design of Energy-Efficient Buildings(SW6.11-14.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/SW6.11-14.13/ Location: Lind Hall 305 END:VEVENT BEGIN:VEVENT UID:imaevent-519e520187ae9 DTSTAMP:20130523T122900 DTSTART:20130611T120000 DTEND:20130611T133000 SUMMARY:Discussion and Lunch Break[12:00pm-1:30pm] DESCRIPTION: Discussion and Lunch Break [ Location: Lind Hall 400\, Mathematical and Computational Challenges in the Control\, Optimization\, and Design of Energy-Efficient Buildings(SW6.11-14.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/SW6.11-14.13/ Location: Lind Hall 400 END:VEVENT BEGIN:VEVENT UID:imaevent-519e52018a8f8 DTSTAMP:20130523T122900 DTSTART:20130611T133000 DTEND:20130611T142000 SUMMARY:Challenges and Opportunities for Intelligent Operations in Commercial Buildings[1:30pm-2:20pm] DESCRIPTION: Challenges and Opportunities for Intelligent Operations in Commercial Buildings Jim Braun\, Purdue University [ Compared to other energy sectors (e.g.\, transportation\, industrial)\, there are significant challenges in realizing energy efficiency improvements in buildings due to the structure of the marketplace and the fact that buildings are not mass produced. In particular\, intelligent control and diagnostic strategies that can optimize operations have not been widely implemented in buildings because each system tends to be unique and the costs associated with developing and updating specialized software can be prohibitive. Even so\, the opportunities for energy and cost savings through optimized operations are very significant and there is renewed interest in capturing these savings. This talk will provide an overview of the barriers and opportunities for intelligent operations in buildings. The general problem of optimal supervisory control with time-of-use and demand charges will be posed and example savings results will be presented for small commercial buildings. A number of general supervisory control and diagnostic strategies and algorithms will be presented that can be embedded within individual controllers to substantially reduce site-specific software engineering costs. The use of modeling\, optimization\, and testing in the development and evaluation of embedded solutions is critical and will be addressed. Location: Lind Hall 305\, Mathematical and Computational Challenges in the Control\, Optimization\, and Design of Energy-Efficient Buildings(SW6.11-14.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/SW6.11-14.13/ Location: Lind Hall 305 END:VEVENT BEGIN:VEVENT UID:imaevent-519e52018d9ac DTSTAMP:20130523T122900 DTSTART:20130611T143000 DTEND:20130611T152000 SUMMARY:Control Design for Energy Efficient Buildings with Uncertain Predictions: Theory and Practice[2:30pm-3:20pm] DESCRIPTION: Control Design for Energy Efficient Buildings with Uncertain Predictions: Theory and Practice Francesco Borrelli\, University of California\, Berkeley [ Forecasts will play an increasingly important role in the next generation of control systems. In nominal conditions\, predictions of system dynamics\, human behavior and environmental conditions can be used by the control algorithm to improve the performance of the resulting system. However\, in practice\, constraint satisfaction\, performance guarantees and real-time computation are challenged by the complexity of the engineered system and uncertainty in the environment where the system operates. In this talk I will present the theory and tools that we have developed over the past ten years for the systematic design of predictive controllers for uncertain linear and nonlinear systems. I will first provide an overview of our theoretical efforts. Then\, I will focus on our recent results in stochastic predictive control design for smart buildings. More info on: www.mpc.berkeley.edu Location: Lind Hall 305\, Mathematical and Computational Challenges in the Control\, Optimization\, and Design of Energy-Efficient Buildings(SW6.11-14.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/SW6.11-14.13/ Location: Lind Hall 305 END:VEVENT BEGIN:VEVENT UID:imaevent-519e52018eb40 DTSTAMP:20130523T122900 DTSTART:20130611T150000 DTEND:20130611T153000 SUMMARY:Coffee break[3:00pm-3:30pm] DESCRIPTION: Coffee break [ Location: Lind Hall 400\, ] Location: Lind Hall 400 END:VEVENT BEGIN:VEVENT UID:imaevent-519e520190e15 DTSTAMP:20130523T122900 DTSTART:20130611T153000 DTEND:20130611T160000 SUMMARY:Discussion and Coffee Break[3:30pm-4:00pm] DESCRIPTION: Discussion and Coffee Break [ Location: Lind Hall 400\, Mathematical and Computational Challenges in the Control\, Optimization\, and Design of Energy-Efficient Buildings(SW6.11-14.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/SW6.11-14.13/ Location: Lind Hall 400 END:VEVENT BEGIN:VEVENT UID:imaevent-519e52019316b DTSTAMP:20130523T122900 DTSTART:20130611T160000 DTEND:20130611T173000 SUMMARY:Open Discussion - Planning for Day 2 Chair: John Burns[4:00pm-5:30pm] DESCRIPTION: Open Discussion - Planning for Day 2 Chair: John Burns [ Location: Lind Hall 305\, Mathematical and Computational Challenges in the Control\, Optimization\, and Design of Energy-Efficient Buildings(SW6.11-14.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/SW6.11-14.13/ Location: Lind Hall 305 END:VEVENT BEGIN:VEVENT UID:imaevent-519e52019546b DTSTAMP:20130523T122900 DTSTART:20130612T090000 DTEND:20130612T093000 SUMMARY:Information[9:00am-9:30am] DESCRIPTION: Information [ Location: Lind Hall 305\, Mathematical and Computational Challenges in the Control\, Optimization\, and Design of Energy-Efficient Buildings(SW6.11-14.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/SW6.11-14.13/ Location: Lind Hall 305 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5201985e8 DTSTAMP:20130523T122900 DTSTART:20130612T093000 DTEND:20130612T102000 SUMMARY:Optimizing Building Operations in the Presence of Occupant-Driven Uncertainty and Grid Feedback[9:30am-10:20am] DESCRIPTION: Optimizing Building Operations in the Presence of Occupant-Driven Uncertainty and Grid Feedback Gregor P. Henze\, University of Colorado [ This talk describes currently ongoing work related to optimal building control in which a range of computational challenges have to be addressed a) Stochastic Optimal Control of Mixed Mode Buildings Considering Occupant-Driven Uncertainty In the first part of this presentation\, we present a methodology for determining viable control rules for commercial building systems that account for occupant driven uncertainty. The methodology consists of three steps\; first\, offline stochastic model predictive control (SMPC) utilizing detailed building simulation models is used to determine optimal setpoint schedules. Second\, the optimal SMPC results are used to inform a machine learning algorithm for rule extraction\, specifically a classification and regression tree (CART). Third\, the CART model results are refined and transformed into readable building automation system (BAS) code. A representative set of results are provided to illustrate the approach. b) Distributed Residential HVAC Model Predictive Control for Load Prediction and Peak Demand Management In the second part\, we turn to residential building control. Within the past few years\, in-home internet gateways and smart thermostats have become the technology standard for residential demand-side management of electric loads though utility sponsored demand response (DR) programs. At the same time\, the computational power of these devices has increased to a point that these devices are able to learn the physical characteristics of a home and perform complex energy simulations. In the near future\, these devices may obviate the need for traditional demand response for managing residential HVAC electric load\, replacing it instead with highly distributed network of load predicting and optimizing systems using model predictive control techniques. We discuss a simulation environment coupling electric grid modeling software with distributed\, residential MPC 'agents' based on inverse gray box models that respond to grid signals and optimize operation in order to achieve a particular utility objective. Initial results on the impact to grid operation and stability will be discussed. Location: Lind Hall 305\, Mathematical and Computational Challenges in the Control\, Optimization\, and Design of Energy-Efficient Buildings(SW6.11-14.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/SW6.11-14.13/ Location: Lind Hall 305 END:VEVENT BEGIN:VEVENT UID:imaevent-519e52019a96d DTSTAMP:20130523T122900 DTSTART:20130612T103000 DTEND:20130612T110000 SUMMARY:Discussion and Coffee Break[10:30am-11:00am] DESCRIPTION: Discussion and Coffee Break [ Location: Lind Hall 400\, Mathematical and Computational Challenges in the Control\, Optimization\, and Design of Energy-Efficient Buildings(SW6.11-14.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/SW6.11-14.13/ Location: Lind Hall 400 END:VEVENT BEGIN:VEVENT UID:imaevent-519e52019db41 DTSTAMP:20130523T122900 DTSTART:20130612T110000 DTEND:20130612T115000 SUMMARY:Gaussian Process Modeling: Applications to Building Systems and Algorithmic Challenges[11:00am-11:50am] DESCRIPTION: Gaussian Process Modeling: Applications to Building Systems and Algorithmic Challenges Victor M. Zavala\, Argonne National Laboratory [ We review applications and algorithmic challenges of Gaussian Process (GP) modeling. GP is a powerful and flexible uncertainty quantification and data analysis technique that enables the construction of complex models without the need to specify algebraic relationships between variables. This is done by working directly in the space of the kernel or covariance matrix. In addition\, it derives from a Bayesian framework and\, as such\, it naturally provides predictive distributions. We describe how these features can be exploited in Measurement and Verification (M&V) tasks and in the construction of building surrogate models from detailed physical counterparts. Training a GP modeling\, however\, presents a highly complex computational pattern. This requires the maximization of a general likelihood function with respect to the kernel hyperparameters. In addition\, the kernel matrix appears in inverse form so even a single function evaluation has cubic complexity with the number of training points. We discuss the technical difficulties arising from this complex pattern and present some strategies available to date to deal with them. Location: Lind Hall 305\, Mathematical and Computational Challenges in the Control\, Optimization\, and Design of Energy-Efficient Buildings(SW6.11-14.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/SW6.11-14.13/ Location: Lind Hall 305 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5201a001f DTSTAMP:20130523T122900 DTSTART:20130612T120000 DTEND:20130612T133000 SUMMARY:Discussion and Lunch Break[12:00pm-1:30pm] DESCRIPTION: Discussion and Lunch Break [ Location: Lind Hall 400\, Mathematical and Computational Challenges in the Control\, Optimization\, and Design of Energy-Efficient Buildings(SW6.11-14.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/SW6.11-14.13/ Location: Lind Hall 400 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5201a3121 DTSTAMP:20130523T122900 DTSTART:20130612T133000 DTEND:20130612T142000 SUMMARY:EnergyPlus Software: Current Status\, Challenges\, and Opportunities[1:30pm-2:20pm] DESCRIPTION: EnergyPlus Software: Current Status\, Challenges\, and Opportunities Brent T Griffith\, National Renewable Energy Laboratory [ EnergyPlus is the US Department of Energy’s flagship software tool for forward modeling of energy-related performance of buildings. This presentation will provide an overview of the project with an emphasis on numerical challenges. The talk will summarize a Request For Information and Funding Opportunity Announcement that DOE is planning related to an effort to reengineer the software with help from the private sector. Location: Lind Hall 305\, Mathematical and Computational Challenges in the Control\, Optimization\, and Design of Energy-Efficient Buildings(SW6.11-14.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/SW6.11-14.13/ Location: Lind Hall 305 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5201a660b DTSTAMP:20130523T122900 DTSTART:20130612T143000 DTEND:20130612T152000 SUMMARY:Model-based Real-time Whole Building Energy Performance Monitoring and Diagnostics[2:30pm-3:20pm] DESCRIPTION: Model-based Real-time Whole Building Energy Performance Monitoring and Diagnostics Zheng O’Neill\, United Technologies Corporation [ Building energy systems often consume approximately 16% more energy than is necessary due to system deviation from the design intent. Identifying the root causes of energy waste in buildings can be challenging largely because energy flows are generally invisible. To help address this challenge\, we present a model-based\, real-time whole building energy diagnostics and performance monitoring system. The proposed system continuously acquires performance measurements of heating\, ventilation and air-conditioning\, lighting and plug equipment usage and compare these measurements in real-time to a reference EnergyPlus model that either represents the design intent for the building or has been calibrated to represent acceptable performance. A proof-of-concept demonstration in two real buildings will be presented. The challenges and key learning will be discussed. Location: Lind Hall 305\, Mathematical and Computational Challenges in the Control\, Optimization\, and Design of Energy-Efficient Buildings(SW6.11-14.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/SW6.11-14.13/ Location: Lind Hall 305 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5201a78ca DTSTAMP:20130523T122900 DTSTART:20130612T150000 DTEND:20130612T153000 SUMMARY:Coffee break[3:00pm-3:30pm] DESCRIPTION: Coffee break [ Location: Lind Hall 400\, ] Location: Lind Hall 400 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5201a9cf6 DTSTAMP:20130523T122900 DTSTART:20130612T153000 DTEND:20130612T155000 SUMMARY:Discussion and Coffee Break[3:30pm-3:50pm] DESCRIPTION: Discussion and Coffee Break [ Location: Lind Hall 400\, Mathematical and Computational Challenges in the Control\, Optimization\, and Design of Energy-Efficient Buildings(SW6.11-14.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/SW6.11-14.13/ Location: Lind Hall 400 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5201ab7fb DTSTAMP:20130523T122900 DTSTART:20130612T155000 DTEND:20130612T160000 SUMMARY:Group Photo[3:50pm-4:00pm] DESCRIPTION: Group Photo [ Mathematical and Computational Challenges in the Control\, Optimization\, and Design of Energy-Efficient Buildings(SW6.11-14.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/SW6.11-14.13/ END:VEVENT BEGIN:VEVENT UID:imaevent-519e5201adb50 DTSTAMP:20130523T122900 DTSTART:20130612T160000 DTEND:20130612T173000 SUMMARY:Open Discussion/Impromptu Talks (3-4) Chair: Chai Wu[4:00pm-5:30pm] DESCRIPTION: Open Discussion/Impromptu Talks (3-4) Chair: Chai Wu [ Location: Lind Hall 305\, Mathematical and Computational Challenges in the Control\, Optimization\, and Design of Energy-Efficient Buildings(SW6.11-14.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/SW6.11-14.13/ Location: Lind Hall 305 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5201afea8 DTSTAMP:20130523T122900 DTSTART:20130613T090000 DTEND:20130613T093000 SUMMARY:Information[9:00am-9:30am] DESCRIPTION: Information [ Location: Lind Hall 305\, Mathematical and Computational Challenges in the Control\, Optimization\, and Design of Energy-Efficient Buildings(SW6.11-14.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/SW6.11-14.13/ Location: Lind Hall 305 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5201b30d1 DTSTAMP:20130523T122900 DTSTART:20130613T093000 DTEND:20130613T102000 SUMMARY:Modeling and Control for Complex Building Systems[9:30am-10:20am] DESCRIPTION: Modeling and Control for Complex Building Systems Andrew G. Alleyne\, University of Illinois at Urbana-Champaign [ In this talk we consider the modeling and control of building systems represented as large and complex systems. First\, we present a motivation for why we believe a centralized approach to optimal operation may not be the best approach. Then\, we present an approach for clustering building zones so as to create a decentralized architecture that balances achievable performance with tolerance to sensor/actuator faults. Here\, performance is measured by temperature regulation. The clustering procedure is an agglomerative one in which we define 2 metrics that result in a Pareto-optimal tradeoff and then search for a Nash-like equilibrium between them. Subsequently\, we design a model predictive control (MPC) approach for performing on-line optimization of controlled HVAC within a building. An Energy-Plus simulation of a commercial building under MPC control is given to demonstrate the approach. Time permitting\, we will discuss the HVAC mechanical systems within buildings. The discussion will start from a complex systems-level viewpoint and drill down to physical modeling of multi-phase flows in heat-pump/AC systems. Location: Lind Hall 305\, Mathematical and Computational Challenges in the Control\, Optimization\, and Design of Energy-Efficient Buildings(SW6.11-14.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/SW6.11-14.13/ Location: Lind Hall 305 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5201b54c2 DTSTAMP:20130523T122900 DTSTART:20130613T103000 DTEND:20130613T110000 SUMMARY:Discussion and Coffee Break[10:30am-11:00am] DESCRIPTION: Discussion and Coffee Break [ Location: Lind Hall 400\, Mathematical and Computational Challenges in the Control\, Optimization\, and Design of Energy-Efficient Buildings(SW6.11-14.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/SW6.11-14.13/ Location: Lind Hall 400 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5201b8525 DTSTAMP:20130523T122900 DTSTART:20130613T110000 DTEND:20130613T115000 SUMMARY:Modeling and Optimal Control in Building Energy Systems[11:00am-11:50am] DESCRIPTION: Modeling and Optimal Control in Building Energy Systems Eugene M. Cliff\, Virginia Polytechnic Institute and State University [ In most cases mathematical models for building thermal control assume that the state of the zone-air can be represented as a single temperature - the well-mixed hypothesis. In cases such as non-uniform solar loads\, or buoyancy-driven cooling such models are problematic. In recent work we have developed data-driven approaches wherein results from CFD simulations are used to develop linear-time-invariant reduced-order models (ROM). In this talk we discuss two such approaches: one based on a subspace iteration to optimally reduce the dynamic order\, and a second\, ad-hoc approach\, that captures important long-term behavior. The ROM is being used by colleagues at Purdue to study implementations of Model Predictive Control (MPC)\, which has emerged as a preferred approach to optimal closed-loop control of building energy systems. MPC control is commonly realized in update form by solving a sequence of finite-dimensional nonlinear programming problems (NLP) that approximate the discrete-time behavior of the building thermal dynamics on the remaining time horizon. It is of interest to compare NLP results with controls arising from applying optimality conditions to a corresponding continuous-time optimal control formulation. Our objectives are to benchmark the NLP solutions and to develop heuristics that lead to more efficient NLP parameterizations. We study a rather simple\, three-state model of a single zone with comfort limits imposed as a state-inequality constraint. Location: Lind Hall 305\, Mathematical and Computational Challenges in the Control\, Optimization\, and Design of Energy-Efficient Buildings(SW6.11-14.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/SW6.11-14.13/ Location: Lind Hall 305 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5201ba998 DTSTAMP:20130523T122900 DTSTART:20130613T113000 DTEND:20130613T133000 SUMMARY:Lunch[11:30am-1:30pm] DESCRIPTION: Lunch [ Location: Lind Hall 400\, Mathematical and Computational Challenges in the Control\, Optimization\, and Design of Energy-Efficient Buildings(SW6.11-14.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/SW6.11-14.13/ Location: Lind Hall 400 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5201bda40 DTSTAMP:20130523T122900 DTSTART:20130613T133000 DTEND:20130613T142000 SUMMARY:Simulating heat and mass transfer in buildings equipped with sensor networks[1:30pm-2:20pm] DESCRIPTION: Simulating heat and mass transfer in buildings equipped with sensor networks Vanessa Lopez\, IBM [ We consider the problem of modeling air flow\, heat transfer\, and humidity in buildings equipped with a network of sensors and a data management system which gathers the sensor data in real time. Such sensor measurements serve as input data for the boundary value problems for systems of partial differential equations comprising the physical models. First\, we describe a simplified physics model for simulating air and heat transfer in data centers and show results from a case study indicating that the model produces approximations to temperature distributions which compare favorably with 3D experimental thermal measurements\, even when the amount of input information provided by the real-time sensor data is limited. We then consider simulating humidity along with air flow and heat transfer\, specifically in environments where natural convection is dominant. We will discuss modeling techniques that facilitate performing simulations of the physical phenomena at hand and which are suitable for coupling with measurements gathered via sensor networks. Location: Lind Hall 305\, Mathematical and Computational Challenges in the Control\, Optimization\, and Design of Energy-Efficient Buildings(SW6.11-14.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/SW6.11-14.13/ Location: Lind Hall 305 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5201c0a06 DTSTAMP:20130523T122900 DTSTART:20130613T143000 DTEND:20130613T152000 SUMMARY:Lecture[2:30pm-3:20pm] DESCRIPTION: Lecture Manfred Morari\, ETH Zürich [ Location: Lind Hall 305\, Mathematical and Computational Challenges in the Control\, Optimization\, and Design of Energy-Efficient Buildings(SW6.11-14.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/SW6.11-14.13/ Location: Lind Hall 305 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5201c1b83 DTSTAMP:20130523T122900 DTSTART:20130613T150000 DTEND:20130613T153000 SUMMARY:Coffee break[3:00pm-3:30pm] DESCRIPTION: Coffee break [ Location: Lind Hall 400\, ] Location: Lind Hall 400 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5201c3e35 DTSTAMP:20130523T122900 DTSTART:20130613T153000 DTEND:20130613T160000 SUMMARY:Discussion and Coffee Break[3:30pm-4:00pm] DESCRIPTION: Discussion and Coffee Break [ Location: Lind Hall 400\, Mathematical and Computational Challenges in the Control\, Optimization\, and Design of Energy-Efficient Buildings(SW6.11-14.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/SW6.11-14.13/ Location: Lind Hall 400 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5201c60c1 DTSTAMP:20130523T122900 DTSTART:20130613T160000 DTEND:20130613T173000 SUMMARY:Open Discussion/Impromptu Talks (3-4) Chair: John Burns[4:00pm-5:30pm] DESCRIPTION: Open Discussion/Impromptu Talks (3-4) Chair: John Burns [ Location: Lind Hall 305\, Mathematical and Computational Challenges in the Control\, Optimization\, and Design of Energy-Efficient Buildings(SW6.11-14.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/SW6.11-14.13/ Location: Lind Hall 305 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5201c84a1 DTSTAMP:20130523T122900 DTSTART:20130614T090000 DTEND:20130614T093000 SUMMARY:Information[9:00am-9:30am] DESCRIPTION: Information [ Location: Lind Hall 305\, Mathematical and Computational Challenges in the Control\, Optimization\, and Design of Energy-Efficient Buildings(SW6.11-14.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/SW6.11-14.13/ Location: Lind Hall 305 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5201cb5e1 DTSTAMP:20130523T122900 DTSTART:20130614T093000 DTEND:20130614T102000 SUMMARY:Lecture[9:30am-10:20am] DESCRIPTION: Lecture Bryan Eisenhower\, University of California\, Santa Barbara [ Location: Lind Hall 305\, Mathematical and Computational Challenges in the Control\, Optimization\, and Design of Energy-Efficient Buildings(SW6.11-14.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/SW6.11-14.13/ Location: Lind Hall 305 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5201cd83e DTSTAMP:20130523T122900 DTSTART:20130614T103000 DTEND:20130614T110000 SUMMARY:Discussion and Coffee Break[10:30am-11:00am] DESCRIPTION: Discussion and Coffee Break [ Location: Lind Hall 400\, Mathematical and Computational Challenges in the Control\, Optimization\, and Design of Energy-Efficient Buildings(SW6.11-14.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/SW6.11-14.13/ Location: Lind Hall 400 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5201d0853 DTSTAMP:20130523T122900 DTSTART:20130614T110000 DTEND:20130614T123000 SUMMARY:Lecture[11:00am-12:30pm] DESCRIPTION: Lecture \, [ Location: Lind Hall 305\, Mathematical and Computational Challenges in the Control\, Optimization\, and Design of Energy-Efficient Buildings(SW6.11-14.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/SW6.11-14.13/ Location: Lind Hall 305 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5201d2bff DTSTAMP:20130523T122900 DTSTART:20130614T123000 DTEND:20130614T123000 SUMMARY:Formal End of Workshop[12:30pm-12:30pm] DESCRIPTION: Formal End of Workshop [ Location: Lind Hall 305\, Mathematical and Computational Challenges in the Control\, Optimization\, and Design of Energy-Efficient Buildings(SW6.11-14.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/SW6.11-14.13/ Location: Lind Hall 305 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5201d50b3 DTSTAMP:20130523T122900 DTSTART:20130614T123000 DTEND:20130614T140000 SUMMARY:Informal Discussions and Lunch Chair: Chai Wu[12:30pm-2:00pm] DESCRIPTION: Informal Discussions and Lunch Chair: Chai Wu [ Location: Lind Hall 400\, Mathematical and Computational Challenges in the Control\, Optimization\, and Design of Energy-Efficient Buildings(SW6.11-14.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/SW6.11-14.13/ Location: Lind Hall 400 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5201d62b8 DTSTAMP:20130523T122900 DTSTART:20130614T150000 DTEND:20130614T153000 SUMMARY:Coffee break[3:00pm-3:30pm] DESCRIPTION: Coffee break [ Location: Lind Hall 400\, ] Location: Lind Hall 400 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5201d8016 DTSTAMP:20130523T122900 DTSTART:20130617T080000 DTEND:20130617T084500 SUMMARY:Registration and Coffee[8:00am-8:45am] DESCRIPTION: Registration and Coffee [ Location: Lind Hall 306\, Applied Statistics and Machine Learning(ND6.17-28.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/ND6.17-28.13/ Location: Lind Hall 306 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5201db64d DTSTAMP:20130523T122900 DTSTART:20130617T084500 DTEND:20130617T090000 SUMMARY:Welcome to the IMA[8:45am-9:00am] DESCRIPTION: Welcome to the IMA Fadil Santosa\, University of Minnesota [ Location: Lind Hall 305\, Applied Statistics and Machine Learning(ND6.17-28.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/ND6.17-28.13/ Location: Lind Hall 305 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5201de704 DTSTAMP:20130523T122900 DTSTART:20130617T090000 DTEND:20130617T103000 SUMMARY:Data Collection[9:00am-10:30am] DESCRIPTION: Data Collection Bin Yu\, University of California\, Berkeley [ In this lecture\, we will discuss basic experimental design principles in data collection and issues regarding data quality. Specific data examples such as the entron data set will be used. Location: Lind Hall 305\, Applied Statistics and Machine Learning(ND6.17-28.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/ND6.17-28.13/ Location: Lind Hall 305 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5201e0a2c DTSTAMP:20130523T122900 DTSTART:20130617T103000 DTEND:20130617T110000 SUMMARY:Coffee Break[10:30am-11:00am] DESCRIPTION: Coffee Break [ Location: Lind Hall 400\, Applied Statistics and Machine Learning(ND6.17-28.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/ND6.17-28.13/ Location: Lind Hall 400 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5201e38af DTSTAMP:20130523T122900 DTSTART:20130617T110000 DTEND:20130617T123000 SUMMARY:Exploratory Data Analysis (EDA)[11:00am-12:30pm] DESCRIPTION: Exploratory Data Analysis (EDA) Bin Yu\, University of California\, Berkeley [ This lecture will cover data summarization and visualization tools such as kernel estimation\, loess\, scatterplot and dimension reduction via principal component analysis (PCA). Specific data examples will be used. Location: Lind Hall 305\, Applied Statistics and Machine Learning(ND6.17-28.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/ND6.17-28.13/ Location: Lind Hall 305 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5201e5112 DTSTAMP:20130523T122900 DTSTART:20130617T123000 DTEND:20130617T140000 SUMMARY:Lunch[12:30pm-2:00pm] DESCRIPTION: Lunch [ Applied Statistics and Machine Learning(ND6.17-28.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/ND6.17-28.13/ END:VEVENT BEGIN:VEVENT UID:imaevent-519e5201e69c6 DTSTAMP:20130523T122900 DTSTART:20130617T140000 DTEND:20130617T150000 SUMMARY:Computer Lab I[2:00pm-3:00pm] DESCRIPTION: Computer Lab I [ The labs' goal is for students to learn R commands and experience data with R. Location: ME314\, Applied Statistics and Machine Learning(ND6.17-28.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/ND6.17-28.13/ Location: ME314 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5201e8962 DTSTAMP:20130523T122900 DTSTART:20130617T150000 DTEND:20130617T153000 SUMMARY:Coffee Break[3:00pm-3:30pm] DESCRIPTION: Coffee Break [ Location: Lind Hall 400\, Applied Statistics and Machine Learning(ND6.17-28.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/ND6.17-28.13/ Location: Lind Hall 400 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5201ea1f1 DTSTAMP:20130523T122900 DTSTART:20130617T153000 DTEND:20130617T163000 SUMMARY:Computer Lab II[3:30pm-4:30pm] DESCRIPTION: Computer Lab II [ The labs' goal is for students to learn R commands and experience data with R. Location: ME314\, Applied Statistics and Machine Learning(ND6.17-28.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/ND6.17-28.13/ Location: ME314 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5201ebb5b DTSTAMP:20130523T122900 DTSTART:20130617T163000 DTEND:20130617T200000 SUMMARY:Dinner[4:30pm-8:00pm] DESCRIPTION: Dinner [ Applied Statistics and Machine Learning(ND6.17-28.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/ND6.17-28.13/ END:VEVENT BEGIN:VEVENT UID:imaevent-519e5201ed465 DTSTAMP:20130523T122900 DTSTART:20130617T200000 DTEND:20130617T210000 SUMMARY:Computer Lab III[8:00pm-9:00pm] DESCRIPTION: Computer Lab III [ The labs' goal is for students to learn R commands and experience data with R. Location: ME314\, Applied Statistics and Machine Learning(ND6.17-28.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/ND6.17-28.13/ Location: ME314 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5201f012c DTSTAMP:20130523T122900 DTSTART:20130618T090000 DTEND:20130618T103000 SUMMARY:Linear Regression[9:00am-10:30am] DESCRIPTION: Linear Regression Bin Yu\, University of California\, Berkeley [ This lecture reviews least squares (LS) method for linear fitting and its statistical properites under various linear regression model assumptions. Methods will be illustrated with real data examples from instructor's research projects. Location: Lind Hall 305\, Applied Statistics and Machine Learning(ND6.17-28.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/ND6.17-28.13/ Location: Lind Hall 305 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5201f19e9 DTSTAMP:20130523T122900 DTSTART:20130618T103000 DTEND:20130618T104000 SUMMARY:Group Photo[10:30am-10:40am] DESCRIPTION: Group Photo [ Applied Statistics and Machine Learning(ND6.17-28.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/ND6.17-28.13/ END:VEVENT BEGIN:VEVENT UID:imaevent-519e5201f3a2a DTSTAMP:20130523T122900 DTSTART:20130618T104000 DTEND:20130618T110000 SUMMARY:Coffee Break[10:40am-11:00am] DESCRIPTION: Coffee Break [ Location: Lind Hall 400\, Applied Statistics and Machine Learning(ND6.17-28.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/ND6.17-28.13/ Location: Lind Hall 400 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5202026b1 DTSTAMP:20130523T122900 DTSTART:20130618T110000 DTEND:20130618T123000 SUMMARY:Generalized Linear Models[11:00am-12:30pm] DESCRIPTION: Generalized Linear Models Bin Yu\, University of California\, Berkeley [ This lecture will generalize LS to weighted LS (WLS) and use WLS to connect with generalized linear models including logistic regression. Remote sensing data for cloud detection will be used. Location: Lind Hall 305\, Applied Statistics and Machine Learning(ND6.17-28.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/ND6.17-28.13/ Location: Lind Hall 305 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5202040c9 DTSTAMP:20130523T122900 DTSTART:20130618T123000 DTEND:20130618T140000 SUMMARY:Lunch[12:30pm-2:00pm] DESCRIPTION: Lunch [ Applied Statistics and Machine Learning(ND6.17-28.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/ND6.17-28.13/ END:VEVENT BEGIN:VEVENT UID:imaevent-519e520205904 DTSTAMP:20130523T122900 DTSTART:20130618T140000 DTEND:20130618T150000 SUMMARY:Computer Lab I[2:00pm-3:00pm] DESCRIPTION: Computer Lab I [ Location: ME314\, Applied Statistics and Machine Learning(ND6.17-28.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/ND6.17-28.13/ Location: ME314 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5202076e3 DTSTAMP:20130523T122900 DTSTART:20130618T150000 DTEND:20130618T153000 SUMMARY:Coffee Break[3:00pm-3:30pm] DESCRIPTION: Coffee Break [ Location: Lind Hall 400\, Applied Statistics and Machine Learning(ND6.17-28.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/ND6.17-28.13/ Location: Lind Hall 400 END:VEVENT BEGIN:VEVENT UID:imaevent-519e520208f2e DTSTAMP:20130523T122900 DTSTART:20130618T153000 DTEND:20130618T163000 SUMMARY:Computer Lab II[3:30pm-4:30pm] DESCRIPTION: Computer Lab II [ Location: ME314\, Applied Statistics and Machine Learning(ND6.17-28.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/ND6.17-28.13/ Location: ME314 END:VEVENT BEGIN:VEVENT UID:imaevent-519e52020a744 DTSTAMP:20130523T122900 DTSTART:20130618T200000 DTEND:20130618T210000 SUMMARY:Computer Lab III[8:00pm-9:00pm] DESCRIPTION: Computer Lab III [ Location: ME314\, Applied Statistics and Machine Learning(ND6.17-28.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/ND6.17-28.13/ Location: ME314 END:VEVENT BEGIN:VEVENT UID:imaevent-519e52020d917 DTSTAMP:20130523T122900 DTSTART:20130619T090000 DTEND:20130619T103000 SUMMARY:Regularization: Model Selection and Ridge[9:00am-10:30am] DESCRIPTION: Regularization: Model Selection and Ridge Bin Yu\, University of California\, Berkeley [ LS and Maximum Likelihood estimation (MLE) overfit when the dimension of the model is not small relative to the sample size. This happens almost always in high-dimensions. Regularziation often works by adding a penalty to the fitting criterion as in classical model selection methods such as AIC or BIC and L2-penalized LS called Tikhonov regularization or Ridge regression. We will also introduce Cross-validation (CV) for regularization parameter selection. Location: Lind Hall 305\, Applied Statistics and Machine Learning(ND6.17-28.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/ND6.17-28.13/ Location: Lind Hall 305 END:VEVENT BEGIN:VEVENT UID:imaevent-519e52020f887 DTSTAMP:20130523T122900 DTSTART:20130619T103000 DTEND:20130619T110000 SUMMARY:Coffee Break[10:30am-11:00am] DESCRIPTION: Coffee Break [ Location: Lind Hall 400\, Applied Statistics and Machine Learning(ND6.17-28.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/ND6.17-28.13/ Location: Lind Hall 400 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5202125d3 DTSTAMP:20130523T122900 DTSTART:20130619T110000 DTEND:20130619T123000 SUMMARY:Boosting and SVM[11:00am-12:30pm] DESCRIPTION: Boosting and SVM Bin Yu\, University of California\, Berkeley [ Boosting and Support Vector Machines (SVMs) are two successful supervised machine learning methods. This lecture will introduce them and relate them to LS and generalized linear models. These methods will be applied to the remote sensing data problem. Location: Lind Hall 305\, Applied Statistics and Machine Learning(ND6.17-28.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/ND6.17-28.13/ Location: Lind Hall 305 END:VEVENT BEGIN:VEVENT UID:imaevent-519e520213e87 DTSTAMP:20130523T122900 DTSTART:20130619T123000 DTEND:20130619T140000 SUMMARY:Lunch[12:30pm-2:00pm] DESCRIPTION: Lunch [ Applied Statistics and Machine Learning(ND6.17-28.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/ND6.17-28.13/ END:VEVENT BEGIN:VEVENT UID:imaevent-519e520215da9 DTSTAMP:20130523T122900 DTSTART:20130619T140000 DTEND:20130619T153000 SUMMARY:Guest Lecture[2:00pm-3:30pm] DESCRIPTION: Guest Lecture [ Location: Lind Hall 305\, Applied Statistics and Machine Learning(ND6.17-28.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/ND6.17-28.13/ Location: Lind Hall 305 END:VEVENT BEGIN:VEVENT UID:imaevent-519e520217c44 DTSTAMP:20130523T122900 DTSTART:20130619T153000 DTEND:20130619T160000 SUMMARY:Coffee Break[3:30pm-4:00pm] DESCRIPTION: Coffee Break [ Location: Lind Hall 400\, Applied Statistics and Machine Learning(ND6.17-28.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/ND6.17-28.13/ Location: Lind Hall 400 END:VEVENT BEGIN:VEVENT UID:imaevent-519e520219b1d DTSTAMP:20130523T122900 DTSTART:20130619T160000 DTEND:20130619T173000 SUMMARY:Guest Lecture[4:00pm-5:30pm] DESCRIPTION: Guest Lecture [ Location: Lind Hall 305\, Applied Statistics and Machine Learning(ND6.17-28.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/ND6.17-28.13/ Location: Lind Hall 305 END:VEVENT BEGIN:VEVENT UID:imaevent-519e52021b2b3 DTSTAMP:20130523T122900 DTSTART:20130619T200000 DTEND:20130619T220000 SUMMARY:Computer Lab[8:00pm-10:00pm] DESCRIPTION: Computer Lab [ The labs' goal is for students to learn R commands and experience data with R. Location: ME314\, Applied Statistics and Machine Learning(ND6.17-28.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/ND6.17-28.13/ Location: ME314 END:VEVENT BEGIN:VEVENT UID:imaevent-519e52021df8e DTSTAMP:20130523T122900 DTSTART:20130620T090000 DTEND:20130620T103000 SUMMARY:Lasso and Low-rank[9:00am-10:30am] DESCRIPTION: Lasso and Low-rank Bin Yu\, University of California\, Berkeley [ This lectures will cover two modern regularization topics: (1) Least Absolute Shrinkage and Selection Operator (Lasso) as a convex relaxation to AIC or BIC and (2) low-rank regularization arising from the Netflix competition. A subset of the netflix data will be investigated. Location: Lind Hall 305\, Applied Statistics and Machine Learning(ND6.17-28.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/ND6.17-28.13/ Location: Lind Hall 305 END:VEVENT BEGIN:VEVENT UID:imaevent-519e52021ffda DTSTAMP:20130523T122900 DTSTART:20130620T103000 DTEND:20130620T110000 SUMMARY:Coffee Break[10:30am-11:00am] DESCRIPTION: Coffee Break [ Location: Lind Hall 400\, Applied Statistics and Machine Learning(ND6.17-28.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/ND6.17-28.13/ Location: Lind Hall 400 END:VEVENT BEGIN:VEVENT UID:imaevent-519e520222d33 DTSTAMP:20130523T122900 DTSTART:20130620T110000 DTEND:20130620T123000 SUMMARY:Bayesian Linear Model[11:00am-12:30pm] DESCRIPTION: Bayesian Linear Model David Madigan\, Columbia University [ This lecture will review basic principles of Bayesian inference\, Bayesian hierarchical models\, and the BUGS tool for conducting Bayesian analyses. Location: Lind Hall 305\, Applied Statistics and Machine Learning(ND6.17-28.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/ND6.17-28.13/ Location: Lind Hall 305 END:VEVENT BEGIN:VEVENT UID:imaevent-519e520224703 DTSTAMP:20130523T122900 DTSTART:20130620T123000 DTEND:20130620T140000 SUMMARY:Lunch[12:30pm-2:00pm] DESCRIPTION: Lunch [ Applied Statistics and Machine Learning(ND6.17-28.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/ND6.17-28.13/ END:VEVENT BEGIN:VEVENT UID:imaevent-519e52022602e DTSTAMP:20130523T122900 DTSTART:20130620T140000 DTEND:20130620T150000 SUMMARY:Computer Lab I[2:00pm-3:00pm] DESCRIPTION: Computer Lab I [ Location: ME314\, Applied Statistics and Machine Learning(ND6.17-28.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/ND6.17-28.13/ Location: ME314 END:VEVENT BEGIN:VEVENT UID:imaevent-519e520226f85 DTSTAMP:20130523T122900 DTSTART:20130620T150000 DTEND:20130620T153000 SUMMARY:Coffee break[3:00pm-3:30pm] DESCRIPTION: Coffee break [ Location: Lind Hall 400\, ] Location: Lind Hall 400 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5202288f6 DTSTAMP:20130523T122900 DTSTART:20130620T150000 DTEND:20130620T153000 SUMMARY:Coffee Break[3:00pm-3:30pm] DESCRIPTION: Coffee Break [ Location: Lind Hall 400\, Applied Statistics and Machine Learning(ND6.17-28.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/ND6.17-28.13/ Location: Lind Hall 400 END:VEVENT BEGIN:VEVENT UID:imaevent-519e52022a3f7 DTSTAMP:20130523T122900 DTSTART:20130620T153000 DTEND:20130620T163000 SUMMARY:Computer Lab II[3:30pm-4:30pm] DESCRIPTION: Computer Lab II [ Location: ME314\, Applied Statistics and Machine Learning(ND6.17-28.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/ND6.17-28.13/ Location: ME314 END:VEVENT BEGIN:VEVENT UID:imaevent-519e52022bf66 DTSTAMP:20130523T122900 DTSTART:20130620T200000 DTEND:20130620T220000 SUMMARY:Computer Lab II[8:00pm-10:00pm] DESCRIPTION: Computer Lab II [ Location: ME314\, Applied Statistics and Machine Learning(ND6.17-28.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/ND6.17-28.13/ Location: ME314 END:VEVENT BEGIN:VEVENT UID:imaevent-519e52022ef80 DTSTAMP:20130523T122900 DTSTART:20130621T090000 DTEND:20130621T103000 SUMMARY:Structured Sparsity[9:00am-10:30am] DESCRIPTION: Structured Sparsity Bin Yu\, University of California\, Berkeley [ This lecture will discuss variants and extenstions of Lasso such as Lasso+LS\, adaptive Lasso\, and group Lasso. Location: Lind Hall 305\, Applied Statistics and Machine Learning(ND6.17-28.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/ND6.17-28.13/ Location: Lind Hall 305 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5202311f1 DTSTAMP:20130523T122900 DTSTART:20130621T103000 DTEND:20130621T110000 SUMMARY:Coffee Break[10:30am-11:00am] DESCRIPTION: Coffee Break [ Location: Lind Hall 400\, Applied Statistics and Machine Learning(ND6.17-28.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/ND6.17-28.13/ Location: Lind Hall 400 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5202343e1 DTSTAMP:20130523T122900 DTSTART:20130621T110000 DTEND:20130621T123000 SUMMARY:Graphical Model (Theory Latent Models)[11:00am-12:30pm] DESCRIPTION: Graphical Model (Theory Latent Models) David Madigan\, Columbia University [ Graphical Markov models use graphs with nodes corresponding to random variables\, and edges that encode conditional independence relationships between those variables. Directed graphical models (aka Bayesian networks) in particular have received considerable attention. This lecture will review basic concepts in graphical model theory such as Markov properties\, equivalence\, and connections with causal inference. Location: Lind Hall 305\, Applied Statistics and Machine Learning(ND6.17-28.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/ND6.17-28.13/ Location: Lind Hall 305 END:VEVENT BEGIN:VEVENT UID:imaevent-519e520235f7c DTSTAMP:20130523T122900 DTSTART:20130621T123000 DTEND:20130621T140000 SUMMARY:Lunch[12:30pm-2:00pm] DESCRIPTION: Lunch [ Applied Statistics and Machine Learning(ND6.17-28.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/ND6.17-28.13/ END:VEVENT BEGIN:VEVENT UID:imaevent-519e520238f61 DTSTAMP:20130523T122900 DTSTART:20130621T140000 DTEND:20130621T153000 SUMMARY:Guest Lecture[2:00pm-3:30pm] DESCRIPTION: Guest Lecture Alexander Johannes Smola\, Carnegie Mellon University [ Location: Lind Hall 305\, Applied Statistics and Machine Learning(ND6.17-28.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/ND6.17-28.13/ Location: Lind Hall 305 END:VEVENT BEGIN:VEVENT UID:imaevent-519e52023b1f1 DTSTAMP:20130523T122900 DTSTART:20130621T153000 DTEND:20130621T160000 SUMMARY:Coffee Break[3:30pm-4:00pm] DESCRIPTION: Coffee Break [ Location: Lind Hall 400\, Applied Statistics and Machine Learning(ND6.17-28.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/ND6.17-28.13/ Location: Lind Hall 400 END:VEVENT BEGIN:VEVENT UID:imaevent-519e52023e1cf DTSTAMP:20130523T122900 DTSTART:20130621T160000 DTEND:20130621T173000 SUMMARY:Guest Lecture[4:00pm-5:30pm] DESCRIPTION: Guest Lecture Alexander Johannes Smola\, Carnegie Mellon University [ Location: Lind Hall 305\, Applied Statistics and Machine Learning(ND6.17-28.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/ND6.17-28.13/ Location: Lind Hall 305 END:VEVENT BEGIN:VEVENT UID:imaevent-519e52023fde8 DTSTAMP:20130523T122900 DTSTART:20130621T200000 DTEND:20130621T220000 SUMMARY:Computer Lab[8:00pm-10:00pm] DESCRIPTION: Computer Lab [ Location: ME314\, Applied Statistics and Machine Learning(ND6.17-28.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/ND6.17-28.13/ Location: ME314 END:VEVENT BEGIN:VEVENT UID:imaevent-519e520241a10 DTSTAMP:20130523T122900 DTSTART:20130622T084500 DTEND:20130622T090000 SUMMARY:Coffee[8:45am-9:00am] DESCRIPTION: Coffee [ Location: Lind Hall 306\, Applied Statistics and Machine Learning(ND6.17-28.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/ND6.17-28.13/ Location: Lind Hall 306 END:VEVENT BEGIN:VEVENT UID:imaevent-519e520244bfd DTSTAMP:20130523T122900 DTSTART:20130622T090000 DTEND:20130622T103000 SUMMARY:Guest Lecture[9:00am-10:30am] DESCRIPTION: Guest Lecture Julien Mairal\, INRIA [ Location: Lind Hall 305\, Applied Statistics and Machine Learning(ND6.17-28.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/ND6.17-28.13/ Location: Lind Hall 305 END:VEVENT BEGIN:VEVENT UID:imaevent-519e52024664b DTSTAMP:20130523T122900 DTSTART:20130622T103000 DTEND:20130622T110000 SUMMARY:Break[10:30am-11:00am] DESCRIPTION: Break [ Location: Lind Hall 306\, Applied Statistics and Machine Learning(ND6.17-28.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/ND6.17-28.13/ Location: Lind Hall 306 END:VEVENT BEGIN:VEVENT UID:imaevent-519e520249548 DTSTAMP:20130523T122900 DTSTART:20130622T110000 DTEND:20130622T123000 SUMMARY:Guest Lecture[11:00am-12:30pm] DESCRIPTION: Guest Lecture Julien Mairal\, INRIA [ Location: Lind Hall 305\, Applied Statistics and Machine Learning(ND6.17-28.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/ND6.17-28.13/ Location: Lind Hall 305 END:VEVENT BEGIN:VEVENT UID:imaevent-519e52024c4f0 DTSTAMP:20130523T122900 DTSTART:20130624T090000 DTEND:20130624T103000 SUMMARY:Sparse Modeling Theory[9:00am-10:30am] DESCRIPTION: Sparse Modeling Theory Bin Yu\, University of California\, Berkeley [ This lecture will give a heuristic overview of theoretical results on Lasso that explains when and why Lasso and extensions work. Location: Lind Hall 305\, Applied Statistics and Machine Learning(ND6.17-28.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/ND6.17-28.13/ Location: Lind Hall 305 END:VEVENT BEGIN:VEVENT UID:imaevent-519e52024dfbd DTSTAMP:20130523T122900 DTSTART:20130624T103000 DTEND:20130624T110000 SUMMARY:Coffee Break[10:30am-11:00am] DESCRIPTION: Coffee Break [ Location: Lind Hall 400\, Applied Statistics and Machine Learning(ND6.17-28.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/ND6.17-28.13/ Location: Lind Hall 400 END:VEVENT BEGIN:VEVENT UID:imaevent-519e520251123 DTSTAMP:20130523T122900 DTSTART:20130624T110000 DTEND:20130624T123000 SUMMARY:Graphical Model Applications: Localization in Wireless Networks and Vaccine Response Modeling[11:00am-12:30pm] DESCRIPTION: Graphical Model Applications: Localization in Wireless Networks and Vaccine Response Modeling David Madigan\, Columbia University [ This lecture will describe two applications of Bayesian graphic models. Location: Lind Hall 305\, Applied Statistics and Machine Learning(ND6.17-28.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/ND6.17-28.13/ Location: Lind Hall 305 END:VEVENT BEGIN:VEVENT UID:imaevent-519e520252b63 DTSTAMP:20130523T122900 DTSTART:20130624T123000 DTEND:20130624T140000 SUMMARY:Lunch[12:30pm-2:00pm] DESCRIPTION: Lunch [ Applied Statistics and Machine Learning(ND6.17-28.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/ND6.17-28.13/ END:VEVENT BEGIN:VEVENT UID:imaevent-519e520254ff5 DTSTAMP:20130523T122900 DTSTART:20130624T140000 DTEND:20130624T153000 SUMMARY:Guest Lecture[2:00pm-3:30pm] DESCRIPTION: Guest Lecture [ Location: Lind Hall 305\, Applied Statistics and Machine Learning(ND6.17-28.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/ND6.17-28.13/ Location: Lind Hall 305 END:VEVENT BEGIN:VEVENT UID:imaevent-519e520256ab4 DTSTAMP:20130523T122900 DTSTART:20130624T153000 DTEND:20130624T160000 SUMMARY:Coffee Break[3:30pm-4:00pm] DESCRIPTION: Coffee Break [ Location: Lind Hall 400\, Applied Statistics and Machine Learning(ND6.17-28.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/ND6.17-28.13/ Location: Lind Hall 400 END:VEVENT BEGIN:VEVENT UID:imaevent-519e520258efd DTSTAMP:20130523T122900 DTSTART:20130624T160000 DTEND:20130624T173000 SUMMARY:Guest Lecture[4:00pm-5:30pm] DESCRIPTION: Guest Lecture [ Location: Lind Hall 305\, Applied Statistics and Machine Learning(ND6.17-28.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/ND6.17-28.13/ Location: Lind Hall 305 END:VEVENT BEGIN:VEVENT UID:imaevent-519e52025a951 DTSTAMP:20130523T122900 DTSTART:20130624T200000 DTEND:20130624T220000 SUMMARY:Computer Lab[8:00pm-10:00pm] DESCRIPTION: Computer Lab [ Location: ME314\, Applied Statistics and Machine Learning(ND6.17-28.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/ND6.17-28.13/ Location: ME314 END:VEVENT BEGIN:VEVENT UID:imaevent-519e52025d634 DTSTAMP:20130523T122900 DTSTART:20130625T090000 DTEND:20130625T103000 SUMMARY:V4 Modeling[9:00am-10:30am] DESCRIPTION: V4 Modeling Bin Yu\, University of California\, Berkeley [ This lecture will illustrate the power of the sparse coding principle and low-rank regularization in modeling neuron responses to natural images in the very challenging visual cortex area V4. Location: Lind Hall 305\, Applied Statistics and Machine Learning(ND6.17-28.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/ND6.17-28.13/ Location: Lind Hall 305 END:VEVENT BEGIN:VEVENT UID:imaevent-519e52025ee8a DTSTAMP:20130523T122900 DTSTART:20130625T103000 DTEND:20130625T110000 SUMMARY:Coffee Break[10:30am-11:00am] DESCRIPTION: Coffee Break [ Location: Lind Hall 400\, Applied Statistics and Machine Learning(ND6.17-28.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/ND6.17-28.13/ Location: Lind Hall 400 END:VEVENT BEGIN:VEVENT UID:imaevent-519e520261bb1 DTSTAMP:20130523T122900 DTSTART:20130625T110000 DTEND:20130625T123000 SUMMARY:Counter-factual Concepts[11:00am-12:30pm] DESCRIPTION: Counter-factual Concepts David Madigan\, Columbia University [ The counterfactual approach to casual inference dates back at least to Neyman and has developed considerably in recent decades due to pioneering work by Rubin\, Pearl\, Robbins\, and others. This lecture will introduce the counterfactual approach and discuss specific examples. Location: Lind Hall 305\, Applied Statistics and Machine Learning(ND6.17-28.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/ND6.17-28.13/ Location: Lind Hall 305 END:VEVENT BEGIN:VEVENT UID:imaevent-519e520263603 DTSTAMP:20130523T122900 DTSTART:20130625T123000 DTEND:20130625T140000 SUMMARY:Lunch[12:30pm-2:00pm] DESCRIPTION: Lunch [ Applied Statistics and Machine Learning(ND6.17-28.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/ND6.17-28.13/ END:VEVENT BEGIN:VEVENT UID:imaevent-519e520266718 DTSTAMP:20130523T122900 DTSTART:20130625T140000 DTEND:20130625T153000 SUMMARY:Guest Lecture[2:00pm-3:30pm] DESCRIPTION: Guest Lecture Marc A. Suchard\, University of California\, Los Angeles (UCLA) [ Location: Lind Hall 305\, Applied Statistics and Machine Learning(ND6.17-28.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/ND6.17-28.13/ Location: Lind Hall 305 END:VEVENT BEGIN:VEVENT UID:imaevent-519e520268a6a DTSTAMP:20130523T122900 DTSTART:20130625T153000 DTEND:20130625T160000 SUMMARY:Coffee Break[3:30pm-4:00pm] DESCRIPTION: Coffee Break [ Location: Lind Hall 400\, Applied Statistics and Machine Learning(ND6.17-28.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/ND6.17-28.13/ Location: Lind Hall 400 END:VEVENT BEGIN:VEVENT UID:imaevent-519e52026bb6a DTSTAMP:20130523T122900 DTSTART:20130625T160000 DTEND:20130625T173000 SUMMARY:Guest Lecture[4:00pm-5:30pm] DESCRIPTION: Guest Lecture Marc A. Suchard\, University of California\, Los Angeles (UCLA) [ Location: Lind Hall 305\, Applied Statistics and Machine Learning(ND6.17-28.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/ND6.17-28.13/ Location: Lind Hall 305 END:VEVENT BEGIN:VEVENT UID:imaevent-519e52026d61e DTSTAMP:20130523T122900 DTSTART:20130625T200000 DTEND:20130625T220000 SUMMARY:Computer Lab[8:00pm-10:00pm] DESCRIPTION: Computer Lab [ Location: ME314\, Applied Statistics and Machine Learning(ND6.17-28.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/ND6.17-28.13/ Location: ME314 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5202707d4 DTSTAMP:20130523T122900 DTSTART:20130626T090000 DTEND:20130626T103000 SUMMARY:Longitudinal Models I[9:00am-10:30am] DESCRIPTION: Longitudinal Models I David Madigan\, Columbia University [ Estimating the effects of medical interventions from massive longitudinal observational medical data is of central importance in healthcare. This talk will describe typical methods used for this purpose and recent attempts to understand the limitation of these approaches. Location: Lind Hall 305\, Applied Statistics and Machine Learning(ND6.17-28.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/ND6.17-28.13/ Location: Lind Hall 305 END:VEVENT BEGIN:VEVENT UID:imaevent-519e520272376 DTSTAMP:20130523T122900 DTSTART:20130626T103000 DTEND:20130626T110000 SUMMARY:Coffee Break[10:30am-11:00am] DESCRIPTION: Coffee Break [ Location: Lind Hall 400\, Applied Statistics and Machine Learning(ND6.17-28.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/ND6.17-28.13/ Location: Lind Hall 400 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5202753b7 DTSTAMP:20130523T122900 DTSTART:20130626T110000 DTEND:20130626T123000 SUMMARY:Monte Carlo and Sequential Monte Carlo[11:00am-12:30pm] DESCRIPTION: Monte Carlo and Sequential Monte Carlo David Madigan\, Columbia University [ This lecture will cover core Monte Carlo ideas such as Monte Carlo sampling\, importance sampling\, Markov chain Monte Carlo\, and sequential Monte Carlo. Location: Lind Hall 305\, Applied Statistics and Machine Learning(ND6.17-28.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/ND6.17-28.13/ Location: Lind Hall 305 END:VEVENT BEGIN:VEVENT UID:imaevent-519e520276e57 DTSTAMP:20130523T122900 DTSTART:20130626T123000 DTEND:20130626T140000 SUMMARY:Lunch[12:30pm-2:00pm] DESCRIPTION: Lunch [ Applied Statistics and Machine Learning(ND6.17-28.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/ND6.17-28.13/ END:VEVENT BEGIN:VEVENT UID:imaevent-519e52027893d DTSTAMP:20130523T122900 DTSTART:20130626T140000 DTEND:20130626T150000 SUMMARY:Computer Lab I[2:00pm-3:00pm] DESCRIPTION: Computer Lab I [ Location: ME314\, Applied Statistics and Machine Learning(ND6.17-28.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/ND6.17-28.13/ Location: ME314 END:VEVENT BEGIN:VEVENT UID:imaevent-519e52027a3a2 DTSTAMP:20130523T122900 DTSTART:20130626T150000 DTEND:20130626T153000 SUMMARY:Coffee Break[3:00pm-3:30pm] DESCRIPTION: Coffee Break [ Location: Lind Hall 400\, Applied Statistics and Machine Learning(ND6.17-28.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/ND6.17-28.13/ Location: Lind Hall 400 END:VEVENT BEGIN:VEVENT UID:imaevent-519e52027bea3 DTSTAMP:20130523T122900 DTSTART:20130626T153000 DTEND:20130626T163000 SUMMARY:Computer Lab II[3:30pm-4:30pm] DESCRIPTION: Computer Lab II [ Location: ME314\, Applied Statistics and Machine Learning(ND6.17-28.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/ND6.17-28.13/ Location: ME314 END:VEVENT BEGIN:VEVENT UID:imaevent-519e52027d939 DTSTAMP:20130523T122900 DTSTART:20130626T200000 DTEND:20130626T210000 SUMMARY:Computer Lab III[8:00pm-9:00pm] DESCRIPTION: Computer Lab III [ Location: ME314\, Applied Statistics and Machine Learning(ND6.17-28.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/ND6.17-28.13/ Location: ME314 END:VEVENT BEGIN:VEVENT UID:imaevent-519e520280b4f DTSTAMP:20130523T122900 DTSTART:20130627T090000 DTEND:20130627T103000 SUMMARY:Model Averaging[9:00am-10:30am] DESCRIPTION: Model Averaging David Madigan\, Columbia University [ This lecture will introduce Bayesian model averaging and describe algorithms for applying model averaging in different contexts. Location: Lind Hall 305\, Applied Statistics and Machine Learning(ND6.17-28.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/ND6.17-28.13/ Location: Lind Hall 305 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5202825e5 DTSTAMP:20130523T122900 DTSTART:20130627T103000 DTEND:20130627T110000 SUMMARY:Coffee Break[10:30am-11:00am] DESCRIPTION: Coffee Break [ Location: Lind Hall 400\, Applied Statistics and Machine Learning(ND6.17-28.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/ND6.17-28.13/ Location: Lind Hall 400 END:VEVENT BEGIN:VEVENT UID:imaevent-519e520285487 DTSTAMP:20130523T122900 DTSTART:20130627T110000 DTEND:20130627T123000 SUMMARY:Online Learning[11:00am-12:30pm] DESCRIPTION: Online Learning David Madigan\, Columbia University [ Algorithms for online (one example at a time) learning and model averaging. Location: Lind Hall 305\, Applied Statistics and Machine Learning(ND6.17-28.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/ND6.17-28.13/ Location: Lind Hall 305 END:VEVENT BEGIN:VEVENT UID:imaevent-519e520286cb1 DTSTAMP:20130523T122900 DTSTART:20130627T123000 DTEND:20130627T140000 SUMMARY:Lunch[12:30pm-2:00pm] DESCRIPTION: Lunch [ Applied Statistics and Machine Learning(ND6.17-28.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/ND6.17-28.13/ END:VEVENT BEGIN:VEVENT UID:imaevent-519e52028860d DTSTAMP:20130523T122900 DTSTART:20130627T140000 DTEND:20130627T150000 SUMMARY:Computer Lab I[2:00pm-3:00pm] DESCRIPTION: Computer Lab I [ Location: ME314\, Applied Statistics and Machine Learning(ND6.17-28.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/ND6.17-28.13/ Location: ME314 END:VEVENT BEGIN:VEVENT UID:imaevent-519e52028a01f DTSTAMP:20130523T122900 DTSTART:20130627T150000 DTEND:20130627T153000 SUMMARY:Coffee Break[3:00pm-3:30pm] DESCRIPTION: Coffee Break [ Location: Lind Hall 400\, Applied Statistics and Machine Learning(ND6.17-28.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/ND6.17-28.13/ Location: Lind Hall 400 END:VEVENT BEGIN:VEVENT UID:imaevent-519e52028b890 DTSTAMP:20130523T122900 DTSTART:20130627T153000 DTEND:20130627T163000 SUMMARY:Computer Lab II[3:30pm-4:30pm] DESCRIPTION: Computer Lab II [ Location: ME314\, Applied Statistics and Machine Learning(ND6.17-28.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/ND6.17-28.13/ Location: ME314 END:VEVENT BEGIN:VEVENT UID:imaevent-519e52028d54b DTSTAMP:20130523T122900 DTSTART:20130627T200000 DTEND:20130627T210000 SUMMARY:Computer Lab III[8:00pm-9:00pm] DESCRIPTION: Computer Lab III [ Location: ME314\, Applied Statistics and Machine Learning(ND6.17-28.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/ND6.17-28.13/ Location: ME314 END:VEVENT BEGIN:VEVENT UID:imaevent-519e520290232 DTSTAMP:20130523T122900 DTSTART:20130628T090000 DTEND:20130628T103000 SUMMARY:Text Mining[9:00am-10:30am] DESCRIPTION: Text Mining David Madigan\, Columbia University [ This lecture will introduce various problems in the analysis of textual data such as text categorization\, entity recognition\, and authorship attribution\, and describe related methodology. Location: Lind Hall 305\, Applied Statistics and Machine Learning(ND6.17-28.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/ND6.17-28.13/ Location: Lind Hall 305 END:VEVENT BEGIN:VEVENT UID:imaevent-519e520291b03 DTSTAMP:20130523T122900 DTSTART:20130628T103000 DTEND:20130628T110000 SUMMARY:Coffee Break[10:30am-11:00am] DESCRIPTION: Coffee Break [ Location: Lind Hall 400\, Applied Statistics and Machine Learning(ND6.17-28.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/ND6.17-28.13/ Location: Lind Hall 400 END:VEVENT BEGIN:VEVENT UID:imaevent-519e520294725 DTSTAMP:20130523T122900 DTSTART:20130628T110000 DTEND:20130628T123000 SUMMARY:ABC[11:00am-12:30pm] DESCRIPTION: ABC David Madigan\, Columbia University [ Approximate Bayesian computation is an extraordinarily simple method for doing Bayesian calculations. The lecture will describe the basic approach and consider a number of applications. Location: Lind Hall 305\, Applied Statistics and Machine Learning(ND6.17-28.13) ] URL;VALUE=URI:http://www.ima.umn.edu/2012-2013/ND6.17-28.13/ Location: Lind Hall 305 END:VEVENT BEGIN:VEVENT UID:imaevent-519e520294fab DTSTART;VALUE=DATE:20130704 DTSTAMP:20130523T122900 SUMMARY:University Closed for Independence Day Holiday[All Day] DESCRIPTION: University Closed for Independence Day Holiday [ ] CREATED:20130523T122900 DTEND;VALUE=DATE:20130705 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5202e57bc DTSTAMP:20130523T122900 DTSTART:20130916T150000 DTEND:20130916T153000 SUMMARY:Coffee break[3:00pm-3:30pm] DESCRIPTION: Coffee break [ Location: Lind Hall 400\, ] Location: Lind Hall 400 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5202e70df DTSTAMP:20130523T122900 DTSTART:20131008T190000 DTEND:20131008T200000 SUMMARY:Public Lecture[7:00pm-8:00pm] DESCRIPTION: Public Lecture [ Location: Coffman Theater\, Math of Planet Earth Public Lecture\, Martin Nowak (Harvard University)(PUB10.8.13) ] URL;VALUE=URI:http://www.ima.umn.edu/public-lecture/#2013-2014 Location: Coffman Theater END:VEVENT BEGIN:VEVENT UID:imaevent-519e5202e9521 DTSTART;VALUE=DATE:20130610 DTSTAMP:20130523T122900 SUMMARY:Research Experience for Undergraduate Students[SW6.10-7.19.13] DESCRIPTION: Research Experience for Undergraduate Students CREATED:20130523T122900 DTEND;VALUE=DATE:20130611 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5202e96da DTSTART;VALUE=DATE:20130611 DTSTAMP:20130523T122900 SUMMARY:Research Experience for Undergraduate Students[SW6.10-7.19.13] DESCRIPTION: Research Experience for Undergraduate Students CREATED:20130523T122900 DTEND;VALUE=DATE:20130612 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5202e988f DTSTART;VALUE=DATE:20130612 DTSTAMP:20130523T122900 SUMMARY:Research Experience for Undergraduate Students[SW6.10-7.19.13] DESCRIPTION: Research Experience for Undergraduate Students CREATED:20130523T122900 DTEND;VALUE=DATE:20130613 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5202e9a61 DTSTART;VALUE=DATE:20130613 DTSTAMP:20130523T122900 SUMMARY:Research Experience for Undergraduate Students[SW6.10-7.19.13] DESCRIPTION: Research Experience for Undergraduate Students CREATED:20130523T122900 DTEND;VALUE=DATE:20130614 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5202e9c15 DTSTART;VALUE=DATE:20130614 DTSTAMP:20130523T122900 SUMMARY:Research Experience for Undergraduate Students[SW6.10-7.19.13] DESCRIPTION: Research Experience for Undergraduate Students CREATED:20130523T122900 DTEND;VALUE=DATE:20130615 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5202e9dd6 DTSTART;VALUE=DATE:20130615 DTSTAMP:20130523T122900 SUMMARY:Research Experience for Undergraduate Students[SW6.10-7.19.13] DESCRIPTION: Research Experience for Undergraduate Students CREATED:20130523T122900 DTEND;VALUE=DATE:20130616 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5202e9f8a DTSTART;VALUE=DATE:20130616 DTSTAMP:20130523T122900 SUMMARY:Research Experience for Undergraduate Students[SW6.10-7.19.13] DESCRIPTION: Research Experience for Undergraduate Students CREATED:20130523T122900 DTEND;VALUE=DATE:20130617 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5202ea13e DTSTART;VALUE=DATE:20130617 DTSTAMP:20130523T122900 SUMMARY:Research Experience for Undergraduate Students[SW6.10-7.19.13] DESCRIPTION: Research Experience for Undergraduate Students CREATED:20130523T122900 DTEND;VALUE=DATE:20130618 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5202ea2f7 DTSTART;VALUE=DATE:20130618 DTSTAMP:20130523T122900 SUMMARY:Research Experience for Undergraduate Students[SW6.10-7.19.13] DESCRIPTION: Research Experience for Undergraduate Students CREATED:20130523T122900 DTEND;VALUE=DATE:20130619 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5202ea4aa DTSTART;VALUE=DATE:20130619 DTSTAMP:20130523T122900 SUMMARY:Research Experience for Undergraduate Students[SW6.10-7.19.13] DESCRIPTION: Research Experience for Undergraduate Students CREATED:20130523T122900 DTEND;VALUE=DATE:20130620 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5202ea65e DTSTART;VALUE=DATE:20130620 DTSTAMP:20130523T122900 SUMMARY:Research Experience for Undergraduate Students[SW6.10-7.19.13] DESCRIPTION: Research Experience for Undergraduate Students CREATED:20130523T122900 DTEND;VALUE=DATE:20130621 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5202ea810 DTSTART;VALUE=DATE:20130621 DTSTAMP:20130523T122900 SUMMARY:Research Experience for Undergraduate Students[SW6.10-7.19.13] DESCRIPTION: Research Experience for Undergraduate Students CREATED:20130523T122900 DTEND;VALUE=DATE:20130622 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5202ea9e0 DTSTART;VALUE=DATE:20130622 DTSTAMP:20130523T122900 SUMMARY:Research Experience for Undergraduate Students[SW6.10-7.19.13] DESCRIPTION: Research Experience for Undergraduate Students CREATED:20130523T122900 DTEND;VALUE=DATE:20130623 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5202eab91 DTSTART;VALUE=DATE:20130623 DTSTAMP:20130523T122900 SUMMARY:Research Experience for Undergraduate Students[SW6.10-7.19.13] DESCRIPTION: Research Experience for Undergraduate Students CREATED:20130523T122900 DTEND;VALUE=DATE:20130624 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5202ead62 DTSTART;VALUE=DATE:20130624 DTSTAMP:20130523T122900 SUMMARY:Research Experience for Undergraduate Students[SW6.10-7.19.13] DESCRIPTION: Research Experience for Undergraduate Students CREATED:20130523T122900 DTEND;VALUE=DATE:20130625 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5202eaf15 DTSTART;VALUE=DATE:20130625 DTSTAMP:20130523T122900 SUMMARY:Research Experience for Undergraduate Students[SW6.10-7.19.13] DESCRIPTION: Research Experience for Undergraduate Students CREATED:20130523T122900 DTEND;VALUE=DATE:20130626 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5202eb0c7 DTSTART;VALUE=DATE:20130626 DTSTAMP:20130523T122900 SUMMARY:Research Experience for Undergraduate Students[SW6.10-7.19.13] DESCRIPTION: Research Experience for Undergraduate Students CREATED:20130523T122900 DTEND;VALUE=DATE:20130627 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5202eb27a DTSTART;VALUE=DATE:20130627 DTSTAMP:20130523T122900 SUMMARY:Research Experience for Undergraduate Students[SW6.10-7.19.13] DESCRIPTION: Research Experience for Undergraduate Students CREATED:20130523T122900 DTEND;VALUE=DATE:20130628 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5202eb42e DTSTART;VALUE=DATE:20130628 DTSTAMP:20130523T122900 SUMMARY:Research Experience for Undergraduate Students[SW6.10-7.19.13] DESCRIPTION: Research Experience for Undergraduate Students CREATED:20130523T122900 DTEND;VALUE=DATE:20130629 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5202eb5e0 DTSTART;VALUE=DATE:20130629 DTSTAMP:20130523T122900 SUMMARY:Research Experience for Undergraduate Students[SW6.10-7.19.13] DESCRIPTION: Research Experience for Undergraduate Students CREATED:20130523T122900 DTEND;VALUE=DATE:20130630 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5202eb79b DTSTART;VALUE=DATE:20130630 DTSTAMP:20130523T122900 SUMMARY:Research Experience for Undergraduate Students[SW6.10-7.19.13] DESCRIPTION: Research Experience for Undergraduate Students CREATED:20130523T122900 DTEND;VALUE=DATE:20130631 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5202eb96b DTSTART;VALUE=DATE:20130701 DTSTAMP:20130523T122900 SUMMARY:Research Experience for Undergraduate Students[SW6.10-7.19.13] DESCRIPTION: Research Experience for Undergraduate Students CREATED:20130523T122900 DTEND;VALUE=DATE:20130702 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5202ebb1b DTSTART;VALUE=DATE:20130702 DTSTAMP:20130523T122900 SUMMARY:Research Experience for Undergraduate Students[SW6.10-7.19.13] DESCRIPTION: Research Experience for Undergraduate Students CREATED:20130523T122900 DTEND;VALUE=DATE:20130703 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5202ebd21 DTSTART;VALUE=DATE:20130703 DTSTAMP:20130523T122900 SUMMARY:Research Experience for Undergraduate Students[SW6.10-7.19.13] DESCRIPTION: Research Experience for Undergraduate Students CREATED:20130523T122900 DTEND;VALUE=DATE:20130704 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5202ebed5 DTSTART;VALUE=DATE:20130704 DTSTAMP:20130523T122900 SUMMARY:Research Experience for Undergraduate Students[SW6.10-7.19.13] DESCRIPTION: Research Experience for Undergraduate Students CREATED:20130523T122900 DTEND;VALUE=DATE:20130705 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5202ec089 DTSTART;VALUE=DATE:20130705 DTSTAMP:20130523T122900 SUMMARY:Research Experience for Undergraduate Students[SW6.10-7.19.13] DESCRIPTION: Research Experience for Undergraduate Students CREATED:20130523T122900 DTEND;VALUE=DATE:20130706 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5202ec23c DTSTART;VALUE=DATE:20130706 DTSTAMP:20130523T122900 SUMMARY:Research Experience for Undergraduate Students[SW6.10-7.19.13] DESCRIPTION: Research Experience for Undergraduate Students CREATED:20130523T122900 DTEND;VALUE=DATE:20130707 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5202ec3ed DTSTART;VALUE=DATE:20130707 DTSTAMP:20130523T122900 SUMMARY:Research Experience for Undergraduate Students[SW6.10-7.19.13] DESCRIPTION: Research Experience for Undergraduate Students CREATED:20130523T122900 DTEND;VALUE=DATE:20130708 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5202ec5a0 DTSTART;VALUE=DATE:20130708 DTSTAMP:20130523T122900 SUMMARY:Research Experience for Undergraduate Students[SW6.10-7.19.13] DESCRIPTION: Research Experience for Undergraduate Students CREATED:20130523T122900 DTEND;VALUE=DATE:20130709 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5202ec752 DTSTART;VALUE=DATE:20130709 DTSTAMP:20130523T122900 SUMMARY:Research Experience for Undergraduate Students[SW6.10-7.19.13] DESCRIPTION: Research Experience for Undergraduate Students CREATED:20130523T122900 DTEND;VALUE=DATE:20130710 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5202ec922 DTSTART;VALUE=DATE:20130710 DTSTAMP:20130523T122900 SUMMARY:Research Experience for Undergraduate Students[SW6.10-7.19.13] DESCRIPTION: Research Experience for Undergraduate Students CREATED:20130523T122900 DTEND;VALUE=DATE:20130711 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5202ecad3 DTSTART;VALUE=DATE:20130711 DTSTAMP:20130523T122900 SUMMARY:Research Experience for Undergraduate Students[SW6.10-7.19.13] DESCRIPTION: Research Experience for Undergraduate Students CREATED:20130523T122900 DTEND;VALUE=DATE:20130712 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5202ecc94 DTSTART;VALUE=DATE:20130712 DTSTAMP:20130523T122900 SUMMARY:Research Experience for Undergraduate Students[SW6.10-7.19.13] DESCRIPTION: Research Experience for Undergraduate Students CREATED:20130523T122900 DTEND;VALUE=DATE:20130713 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5202ece46 DTSTART;VALUE=DATE:20130713 DTSTAMP:20130523T122900 SUMMARY:Research Experience for Undergraduate Students[SW6.10-7.19.13] DESCRIPTION: Research Experience for Undergraduate Students CREATED:20130523T122900 DTEND;VALUE=DATE:20130714 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5202ecff9 DTSTART;VALUE=DATE:20130714 DTSTAMP:20130523T122900 SUMMARY:Research Experience for Undergraduate Students[SW6.10-7.19.13] DESCRIPTION: Research Experience for Undergraduate Students CREATED:20130523T122900 DTEND;VALUE=DATE:20130715 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5202ed1ac DTSTART;VALUE=DATE:20130715 DTSTAMP:20130523T122900 SUMMARY:Research Experience for Undergraduate Students[SW6.10-7.19.13] DESCRIPTION: Research Experience for Undergraduate Students CREATED:20130523T122900 DTEND;VALUE=DATE:20130716 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5202ed35e DTSTART;VALUE=DATE:20130716 DTSTAMP:20130523T122900 SUMMARY:Research Experience for Undergraduate Students[SW6.10-7.19.13] DESCRIPTION: Research Experience for Undergraduate Students CREATED:20130523T122900 DTEND;VALUE=DATE:20130717 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5202ed511 DTSTART;VALUE=DATE:20130717 DTSTAMP:20130523T122900 SUMMARY:Research Experience for Undergraduate Students[SW6.10-7.19.13] DESCRIPTION: Research Experience for Undergraduate Students CREATED:20130523T122900 DTEND;VALUE=DATE:20130718 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5202ed6c9 DTSTART;VALUE=DATE:20130718 DTSTAMP:20130523T122900 SUMMARY:Research Experience for Undergraduate Students[SW6.10-7.19.13] DESCRIPTION: Research Experience for Undergraduate Students CREATED:20130523T122900 DTEND;VALUE=DATE:20130719 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5202ed89a DTSTART;VALUE=DATE:20130719 DTSTAMP:20130523T122900 SUMMARY:Research Experience for Undergraduate Students[SW6.10-7.19.13] DESCRIPTION: Research Experience for Undergraduate Students CREATED:20130523T122900 DTEND;VALUE=DATE:20130720 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5202ef5c4 DTSTART;VALUE=DATE:20130715 DTSTAMP:20130523T122900 SUMMARY:Flow\, Geometric Motion\, Deformation and Mass Transport in Physiological Processes[PISG7.15-8.2.13] DESCRIPTION: Flow\, Geometric Motion\, Deformation and Mass Transport in Physiological Processes CREATED:20130523T122900 DTEND;VALUE=DATE:20130716 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5202ef79d DTSTART;VALUE=DATE:20130716 DTSTAMP:20130523T122900 SUMMARY:Flow\, Geometric Motion\, Deformation and Mass Transport in Physiological Processes[PISG7.15-8.2.13] DESCRIPTION: Flow\, Geometric Motion\, Deformation and Mass Transport in Physiological Processes CREATED:20130523T122900 DTEND;VALUE=DATE:20130717 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5202ef954 DTSTART;VALUE=DATE:20130717 DTSTAMP:20130523T122900 SUMMARY:Flow\, Geometric Motion\, Deformation and Mass Transport in Physiological Processes[PISG7.15-8.2.13] DESCRIPTION: Flow\, Geometric Motion\, Deformation and Mass Transport in Physiological Processes CREATED:20130523T122900 DTEND;VALUE=DATE:20130718 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5202efb2b DTSTART;VALUE=DATE:20130718 DTSTAMP:20130523T122900 SUMMARY:Flow\, Geometric Motion\, Deformation and Mass Transport in Physiological Processes[PISG7.15-8.2.13] DESCRIPTION: Flow\, Geometric Motion\, Deformation and Mass Transport in Physiological Processes CREATED:20130523T122900 DTEND;VALUE=DATE:20130719 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5202efce1 DTSTART;VALUE=DATE:20130719 DTSTAMP:20130523T122900 SUMMARY:Flow\, Geometric Motion\, Deformation and Mass Transport in Physiological Processes[PISG7.15-8.2.13] DESCRIPTION: Flow\, Geometric Motion\, Deformation and Mass Transport in Physiological Processes CREATED:20130523T122900 DTEND;VALUE=DATE:20130720 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5202efe97 DTSTART;VALUE=DATE:20130720 DTSTAMP:20130523T122900 SUMMARY:Flow\, Geometric Motion\, Deformation and Mass Transport in Physiological Processes[PISG7.15-8.2.13] DESCRIPTION: Flow\, Geometric Motion\, Deformation and Mass Transport in Physiological Processes CREATED:20130523T122900 DTEND;VALUE=DATE:20130721 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5202f004c DTSTART;VALUE=DATE:20130721 DTSTAMP:20130523T122900 SUMMARY:Flow\, Geometric Motion\, Deformation and Mass Transport in Physiological Processes[PISG7.15-8.2.13] DESCRIPTION: Flow\, Geometric Motion\, Deformation and Mass Transport in Physiological Processes CREATED:20130523T122900 DTEND;VALUE=DATE:20130722 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5202f0202 DTSTART;VALUE=DATE:20130722 DTSTAMP:20130523T122900 SUMMARY:Flow\, Geometric Motion\, Deformation and Mass Transport in Physiological Processes[PISG7.15-8.2.13] DESCRIPTION: Flow\, Geometric Motion\, Deformation and Mass Transport in Physiological Processes CREATED:20130523T122900 DTEND;VALUE=DATE:20130723 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5202f03b8 DTSTART;VALUE=DATE:20130723 DTSTAMP:20130523T122900 SUMMARY:Flow\, Geometric Motion\, Deformation and Mass Transport in Physiological Processes[PISG7.15-8.2.13] DESCRIPTION: Flow\, Geometric Motion\, Deformation and Mass Transport in Physiological Processes CREATED:20130523T122900 DTEND;VALUE=DATE:20130724 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5202f056e DTSTART;VALUE=DATE:20130724 DTSTAMP:20130523T122900 SUMMARY:Flow\, Geometric Motion\, Deformation and Mass Transport in Physiological Processes[PISG7.15-8.2.13] DESCRIPTION: Flow\, Geometric Motion\, Deformation and Mass Transport in Physiological Processes CREATED:20130523T122900 DTEND;VALUE=DATE:20130725 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5202f077d DTSTART;VALUE=DATE:20130725 DTSTAMP:20130523T122900 SUMMARY:Flow\, Geometric Motion\, Deformation and Mass Transport in Physiological Processes[PISG7.15-8.2.13] DESCRIPTION: Flow\, Geometric Motion\, Deformation and Mass Transport in Physiological Processes CREATED:20130523T122900 DTEND;VALUE=DATE:20130726 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5202f0928 DTSTART;VALUE=DATE:20130726 DTSTAMP:20130523T122900 SUMMARY:Flow\, Geometric Motion\, Deformation and Mass Transport in Physiological Processes[PISG7.15-8.2.13] DESCRIPTION: Flow\, Geometric Motion\, Deformation and Mass Transport in Physiological Processes CREATED:20130523T122900 DTEND;VALUE=DATE:20130727 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5202f0af2 DTSTART;VALUE=DATE:20130727 DTSTAMP:20130523T122900 SUMMARY:Flow\, Geometric Motion\, Deformation and Mass Transport in Physiological Processes[PISG7.15-8.2.13] DESCRIPTION: Flow\, Geometric Motion\, Deformation and Mass Transport in Physiological Processes CREATED:20130523T122900 DTEND;VALUE=DATE:20130728 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5202f0c9e DTSTART;VALUE=DATE:20130728 DTSTAMP:20130523T122900 SUMMARY:Flow\, Geometric Motion\, Deformation and Mass Transport in Physiological Processes[PISG7.15-8.2.13] DESCRIPTION: Flow\, Geometric Motion\, Deformation and Mass Transport in Physiological Processes CREATED:20130523T122900 DTEND;VALUE=DATE:20130729 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5202f0e49 DTSTART;VALUE=DATE:20130729 DTSTAMP:20130523T122900 SUMMARY:Flow\, Geometric Motion\, Deformation and Mass Transport in Physiological Processes[PISG7.15-8.2.13] DESCRIPTION: Flow\, Geometric Motion\, Deformation and Mass Transport in Physiological Processes CREATED:20130523T122900 DTEND;VALUE=DATE:20130730 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5202f0ff4 DTSTART;VALUE=DATE:20130730 DTSTAMP:20130523T122900 SUMMARY:Flow\, Geometric Motion\, Deformation and Mass Transport in Physiological Processes[PISG7.15-8.2.13] DESCRIPTION: Flow\, Geometric Motion\, Deformation and Mass Transport in Physiological Processes CREATED:20130523T122900 DTEND;VALUE=DATE:20130731 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5202f1211 DTSTART;VALUE=DATE:20130731 DTSTAMP:20130523T122900 SUMMARY:Flow\, Geometric Motion\, Deformation and Mass Transport in Physiological Processes[PISG7.15-8.2.13] DESCRIPTION: Flow\, Geometric Motion\, Deformation and Mass Transport in Physiological Processes CREATED:20130523T122900 DTEND;VALUE=DATE:20130732 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5202f13bd DTSTART;VALUE=DATE:20130801 DTSTAMP:20130523T122900 SUMMARY:Flow\, Geometric Motion\, Deformation and Mass Transport in Physiological Processes[PISG7.15-8.2.13] DESCRIPTION: Flow\, Geometric Motion\, Deformation and Mass Transport in Physiological Processes CREATED:20130523T122900 DTEND;VALUE=DATE:20130802 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5202f1567 DTSTART;VALUE=DATE:20130802 DTSTAMP:20130523T122900 SUMMARY:Flow\, Geometric Motion\, Deformation and Mass Transport in Physiological Processes[PISG7.15-8.2.13] DESCRIPTION: Flow\, Geometric Motion\, Deformation and Mass Transport in Physiological Processes CREATED:20130523T122900 DTEND;VALUE=DATE:20130803 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5202f20ab DTSTART;VALUE=DATE:20130807 DTSTAMP:20130523T122900 SUMMARY:Mathematical Modeling in Industry XVII[MM8.7-16.13] DESCRIPTION: Mathematical Modeling in Industry XVII CREATED:20130523T122900 DTEND;VALUE=DATE:20130808 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5202f2264 DTSTART;VALUE=DATE:20130808 DTSTAMP:20130523T122900 SUMMARY:Mathematical Modeling in Industry XVII[MM8.7-16.13] DESCRIPTION: Mathematical Modeling in Industry XVII CREATED:20130523T122900 DTEND;VALUE=DATE:20130809 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5202f241a DTSTART;VALUE=DATE:20130809 DTSTAMP:20130523T122900 SUMMARY:Mathematical Modeling in Industry XVII[MM8.7-16.13] DESCRIPTION: Mathematical Modeling in Industry XVII CREATED:20130523T122900 DTEND;VALUE=DATE:20130810 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5202f25ce DTSTART;VALUE=DATE:20130810 DTSTAMP:20130523T122900 SUMMARY:Mathematical Modeling in Industry XVII[MM8.7-16.13] DESCRIPTION: Mathematical Modeling in Industry XVII CREATED:20130523T122900 DTEND;VALUE=DATE:20130811 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5202f279c DTSTART;VALUE=DATE:20130811 DTSTAMP:20130523T122900 SUMMARY:Mathematical Modeling in Industry XVII[MM8.7-16.13] DESCRIPTION: Mathematical Modeling in Industry XVII CREATED:20130523T122900 DTEND;VALUE=DATE:20130812 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5202f294e DTSTART;VALUE=DATE:20130812 DTSTAMP:20130523T122900 SUMMARY:Mathematical Modeling in Industry XVII[MM8.7-16.13] DESCRIPTION: Mathematical Modeling in Industry XVII CREATED:20130523T122900 DTEND;VALUE=DATE:20130813 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5202f2b75 DTSTART;VALUE=DATE:20130813 DTSTAMP:20130523T122900 SUMMARY:Mathematical Modeling in Industry XVII[MM8.7-16.13] DESCRIPTION: Mathematical Modeling in Industry XVII CREATED:20130523T122900 DTEND;VALUE=DATE:20130814 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5202f2d2a DTSTART;VALUE=DATE:20130814 DTSTAMP:20130523T122900 SUMMARY:Mathematical Modeling in Industry XVII[MM8.7-16.13] DESCRIPTION: Mathematical Modeling in Industry XVII CREATED:20130523T122900 DTEND;VALUE=DATE:20130815 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5202f2edd DTSTART;VALUE=DATE:20130815 DTSTAMP:20130523T122900 SUMMARY:Mathematical Modeling in Industry XVII[MM8.7-16.13] DESCRIPTION: Mathematical Modeling in Industry XVII CREATED:20130523T122900 DTEND;VALUE=DATE:20130816 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5202f308f DTSTART;VALUE=DATE:20130816 DTSTAMP:20130523T122900 SUMMARY:Mathematical Modeling in Industry XVII[MM8.7-16.13] DESCRIPTION: Mathematical Modeling in Industry XVII CREATED:20130523T122900 DTEND;VALUE=DATE:20130817 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5202f3bb8 DTSTART;VALUE=DATE:20130909 DTSTAMP:20130523T122900 SUMMARY:WhAM! A Research Collaboration Workshop for Women in Applied Mathematics\, Dynamical Systems with Applications to Biology and Medicine[SW9.9-13.13] DESCRIPTION: WhAM! A Research Collaboration Workshop for Women in Applied Mathematics\, Dynamical Systems with Applications to Biology and Medicine CREATED:20130523T122900 DTEND;VALUE=DATE:20130910 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5202f3d8c DTSTART;VALUE=DATE:20130910 DTSTAMP:20130523T122900 SUMMARY:WhAM! A Research Collaboration Workshop for Women in Applied Mathematics\, Dynamical Systems with Applications to Biology and Medicine[SW9.9-13.13] DESCRIPTION: WhAM! A Research Collaboration Workshop for Women in Applied Mathematics\, Dynamical Systems with Applications to Biology and Medicine CREATED:20130523T122900 DTEND;VALUE=DATE:20130911 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5202f3f5d DTSTART;VALUE=DATE:20130911 DTSTAMP:20130523T122900 SUMMARY:WhAM! A Research Collaboration Workshop for Women in Applied Mathematics\, Dynamical Systems with Applications to Biology and Medicine[SW9.9-13.13] DESCRIPTION: WhAM! A Research Collaboration Workshop for Women in Applied Mathematics\, Dynamical Systems with Applications to Biology and Medicine CREATED:20130523T122900 DTEND;VALUE=DATE:20130912 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5202f412d DTSTART;VALUE=DATE:20130912 DTSTAMP:20130523T122900 SUMMARY:WhAM! A Research Collaboration Workshop for Women in Applied Mathematics\, Dynamical Systems with Applications to Biology and Medicine[SW9.9-13.13] DESCRIPTION: WhAM! A Research Collaboration Workshop for Women in Applied Mathematics\, Dynamical Systems with Applications to Biology and Medicine CREATED:20130523T122900 DTEND;VALUE=DATE:20130913 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5203000bc DTSTART;VALUE=DATE:20130913 DTSTAMP:20130523T122900 SUMMARY:WhAM! A Research Collaboration Workshop for Women in Applied Mathematics\, Dynamical Systems with Applications to Biology and Medicine[SW9.9-13.13] DESCRIPTION: WhAM! A Research Collaboration Workshop for Women in Applied Mathematics\, Dynamical Systems with Applications to Biology and Medicine CREATED:20130523T122900 DTEND;VALUE=DATE:20130914 END:VEVENT BEGIN:VEVENT UID:imaevent-519e520300bc5 DTSTART;VALUE=DATE:20130919 DTSTAMP:20130523T122900 SUMMARY:Brian Conrad (Stanford Univeristy)[PUB9.19.13] DESCRIPTION: Brian Conrad (Stanford Univeristy) CREATED:20130523T122900 DTEND;VALUE=DATE:20130920 END:VEVENT BEGIN:VEVENT UID:imaevent-519e520301690 DTSTART;VALUE=DATE:20130923 DTSTAMP:20130523T122900 SUMMARY:Imaging in Geospatial Applications[SW9.23-26.13] DESCRIPTION: Imaging in Geospatial Applications CREATED:20130523T122900 DTEND;VALUE=DATE:20130924 END:VEVENT BEGIN:VEVENT UID:imaevent-519e520301848 DTSTART;VALUE=DATE:20130924 DTSTAMP:20130523T122900 SUMMARY:Imaging in Geospatial Applications[SW9.23-26.13] DESCRIPTION: Imaging in Geospatial Applications CREATED:20130523T122900 DTEND;VALUE=DATE:20130925 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5203019fe DTSTART;VALUE=DATE:20130925 DTSTAMP:20130523T122900 SUMMARY:Imaging in Geospatial Applications[SW9.23-26.13] DESCRIPTION: Imaging in Geospatial Applications CREATED:20130523T122900 DTEND;VALUE=DATE:20130926 END:VEVENT BEGIN:VEVENT UID:imaevent-519e520301bb4 DTSTART;VALUE=DATE:20130926 DTSTAMP:20130523T122900 SUMMARY:Imaging in Geospatial Applications[SW9.23-26.13] DESCRIPTION: Imaging in Geospatial Applications CREATED:20130523T122900 DTEND;VALUE=DATE:20130927 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5203026a4 DTSTART;VALUE=DATE:20131002 DTSTAMP:20130523T122900 SUMMARY:Introduction to Statistics and Probability for Topologists[T10.2-4.13] DESCRIPTION: Introduction to Statistics and Probability for Topologists CREATED:20130523T122900 DTEND;VALUE=DATE:20131003 END:VEVENT BEGIN:VEVENT UID:imaevent-519e52030285d DTSTART;VALUE=DATE:20131003 DTSTAMP:20130523T122900 SUMMARY:Introduction to Statistics and Probability for Topologists[T10.2-4.13] DESCRIPTION: Introduction to Statistics and Probability for Topologists CREATED:20130523T122900 DTEND;VALUE=DATE:20131004 END:VEVENT BEGIN:VEVENT UID:imaevent-519e520302a14 DTSTART;VALUE=DATE:20131004 DTSTAMP:20130523T122900 SUMMARY:Introduction to Statistics and Probability for Topologists[T10.2-4.13] DESCRIPTION: Introduction to Statistics and Probability for Topologists CREATED:20130523T122900 DTEND;VALUE=DATE:20131005 END:VEVENT BEGIN:VEVENT UID:imaevent-519e52030341f DTSTART;VALUE=DATE:20131007 DTSTAMP:20130523T122900 SUMMARY:Topological Data Analysis[W10.7-11.13] DESCRIPTION: Topological Data Analysis CREATED:20130523T122900 DTEND;VALUE=DATE:20131008 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5203035e6 DTSTART;VALUE=DATE:20131008 DTSTAMP:20130523T122900 SUMMARY:Topological Data Analysis[W10.7-11.13] DESCRIPTION: Topological Data Analysis CREATED:20130523T122900 DTEND;VALUE=DATE:20131009 END:VEVENT BEGIN:VEVENT UID:imaevent-519e52030379b DTSTART;VALUE=DATE:20131009 DTSTAMP:20130523T122900 SUMMARY:Topological Data Analysis[W10.7-11.13] DESCRIPTION: Topological Data Analysis CREATED:20130523T122900 DTEND;VALUE=DATE:20131010 END:VEVENT BEGIN:VEVENT UID:imaevent-519e520303950 DTSTART;VALUE=DATE:20131010 DTSTAMP:20130523T122900 SUMMARY:Topological Data Analysis[W10.7-11.13] DESCRIPTION: Topological Data Analysis CREATED:20130523T122900 DTEND;VALUE=DATE:20131011 END:VEVENT BEGIN:VEVENT UID:imaevent-519e520303b2f DTSTART;VALUE=DATE:20131011 DTSTAMP:20130523T122900 SUMMARY:Topological Data Analysis[W10.7-11.13] DESCRIPTION: Topological Data Analysis CREATED:20130523T122900 DTEND;VALUE=DATE:20131012 END:VEVENT BEGIN:VEVENT UID:imaevent-519e520304d47 DTSTART;VALUE=DATE:20131013 DTSTAMP:20130523T122900 SUMMARY:Board of Governors Meeting[BOG10.13-14.13] DESCRIPTION: Board of Governors Meeting CREATED:20130523T122900 DTEND;VALUE=DATE:20131014 END:VEVENT BEGIN:VEVENT UID:imaevent-519e520304f01 DTSTART;VALUE=DATE:20131014 DTSTAMP:20130523T122900 SUMMARY:Board of Governors Meeting[BOG10.13-14.13] DESCRIPTION: Board of Governors Meeting CREATED:20130523T122900 DTEND;VALUE=DATE:20131015 END:VEVENT BEGIN:VEVENT UID:imaevent-519e52030585a DTSTART;VALUE=DATE:20131028 DTSTAMP:20130523T122900 SUMMARY:Modern Applications of Homology and Cohomology[W10.28-11.1.13] DESCRIPTION: Modern Applications of Homology and Cohomology CREATED:20130523T122900 DTEND;VALUE=DATE:20131029 END:VEVENT BEGIN:VEVENT UID:imaevent-519e520305a14 DTSTART;VALUE=DATE:20131029 DTSTAMP:20130523T122900 SUMMARY:Modern Applications of Homology and Cohomology[W10.28-11.1.13] DESCRIPTION: Modern Applications of Homology and Cohomology CREATED:20130523T122900 DTEND;VALUE=DATE:20131030 END:VEVENT BEGIN:VEVENT UID:imaevent-519e520305bce DTSTART;VALUE=DATE:20131030 DTSTAMP:20130523T122900 SUMMARY:Modern Applications of Homology and Cohomology[W10.28-11.1.13] DESCRIPTION: Modern Applications of Homology and Cohomology CREATED:20130523T122900 DTEND;VALUE=DATE:20131031 END:VEVENT BEGIN:VEVENT UID:imaevent-519e520305d84 DTSTART;VALUE=DATE:20131031 DTSTAMP:20130523T122900 SUMMARY:Modern Applications of Homology and Cohomology[W10.28-11.1.13] DESCRIPTION: Modern Applications of Homology and Cohomology CREATED:20130523T122900 DTEND;VALUE=DATE:20131032 END:VEVENT BEGIN:VEVENT UID:imaevent-519e520305f39 DTSTART;VALUE=DATE:20131101 DTSTAMP:20130523T122900 SUMMARY:Modern Applications of Homology and Cohomology[W10.28-11.1.13] DESCRIPTION: Modern Applications of Homology and Cohomology CREATED:20130523T122900 DTEND;VALUE=DATE:20131102 END:VEVENT BEGIN:VEVENT UID:imaevent-519e52030690a DTSTART;VALUE=DATE:20131118 DTSTAMP:20130523T122900 SUMMARY:Predictability in Earth System Processes[SW11.18-21.13] DESCRIPTION: Predictability in Earth System Processes CREATED:20130523T122900 DTEND;VALUE=DATE:20131119 END:VEVENT BEGIN:VEVENT UID:imaevent-519e520306ab8 DTSTART;VALUE=DATE:20131119 DTSTAMP:20130523T122900 SUMMARY:Predictability in Earth System Processes[SW11.18-21.13] DESCRIPTION: Predictability in Earth System Processes CREATED:20130523T122900 DTEND;VALUE=DATE:20131120 END:VEVENT BEGIN:VEVENT UID:imaevent-519e520306c63 DTSTART;VALUE=DATE:20131120 DTSTAMP:20130523T122900 SUMMARY:Predictability in Earth System Processes[SW11.18-21.13] DESCRIPTION: Predictability in Earth System Processes CREATED:20130523T122900 DTEND;VALUE=DATE:20131121 END:VEVENT BEGIN:VEVENT UID:imaevent-519e520306e0c DTSTART;VALUE=DATE:20131121 DTSTAMP:20130523T122900 SUMMARY:Predictability in Earth System Processes[SW11.18-21.13] DESCRIPTION: Predictability in Earth System Processes CREATED:20130523T122900 DTEND;VALUE=DATE:20131122 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5203077f9 DTSTART;VALUE=DATE:20131209 DTSTAMP:20130523T122900 SUMMARY:Topological Structures in Computational Biology [W12.9-13.13] DESCRIPTION: Topological Structures in Computational Biology CREATED:20130523T122900 DTEND;VALUE=DATE:20131210 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5203079b3 DTSTART;VALUE=DATE:20131210 DTSTAMP:20130523T122900 SUMMARY:Topological Structures in Computational Biology [W12.9-13.13] DESCRIPTION: Topological Structures in Computational Biology CREATED:20130523T122900 DTEND;VALUE=DATE:20131211 END:VEVENT BEGIN:VEVENT UID:imaevent-519e520307b6a DTSTART;VALUE=DATE:20131211 DTSTAMP:20130523T122900 SUMMARY:Topological Structures in Computational Biology [W12.9-13.13] DESCRIPTION: Topological Structures in Computational Biology CREATED:20130523T122900 DTEND;VALUE=DATE:20131212 END:VEVENT BEGIN:VEVENT UID:imaevent-519e520307d1f DTSTART;VALUE=DATE:20131212 DTSTAMP:20130523T122900 SUMMARY:Topological Structures in Computational Biology [W12.9-13.13] DESCRIPTION: Topological Structures in Computational Biology CREATED:20130523T122900 DTEND;VALUE=DATE:20131213 END:VEVENT BEGIN:VEVENT UID:imaevent-519e520307ed2 DTSTART;VALUE=DATE:20131213 DTSTAMP:20130523T122900 SUMMARY:Topological Structures in Computational Biology [W12.9-13.13] DESCRIPTION: Topological Structures in Computational Biology CREATED:20130523T122900 DTEND;VALUE=DATE:20131214 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5203088e8 DTSTART;VALUE=DATE:20140210 DTSTAMP:20130523T122900 SUMMARY:Algebraic Topology in Dynamics\, Differential Equations and Experimental Data[W2.10-14.14] DESCRIPTION: Algebraic Topology in Dynamics\, Differential Equations and Experimental Data CREATED:20130523T122900 DTEND;VALUE=DATE:20140211 END:VEVENT BEGIN:VEVENT UID:imaevent-519e520308aa5 DTSTART;VALUE=DATE:20140211 DTSTAMP:20130523T122900 SUMMARY:Algebraic Topology in Dynamics\, Differential Equations and Experimental Data[W2.10-14.14] DESCRIPTION: Algebraic Topology in Dynamics\, Differential Equations and Experimental Data CREATED:20130523T122900 DTEND;VALUE=DATE:20140212 END:VEVENT BEGIN:VEVENT UID:imaevent-519e520308c5e DTSTART;VALUE=DATE:20140212 DTSTAMP:20130523T122900 SUMMARY:Algebraic Topology in Dynamics\, Differential Equations and Experimental Data[W2.10-14.14] DESCRIPTION: Algebraic Topology in Dynamics\, Differential Equations and Experimental Data CREATED:20130523T122900 DTEND;VALUE=DATE:20140213 END:VEVENT BEGIN:VEVENT UID:imaevent-519e520308e5e DTSTART;VALUE=DATE:20140213 DTSTAMP:20130523T122900 SUMMARY:Algebraic Topology in Dynamics\, Differential Equations and Experimental Data[W2.10-14.14] DESCRIPTION: Algebraic Topology in Dynamics\, Differential Equations and Experimental Data CREATED:20130523T122900 DTEND;VALUE=DATE:20140214 END:VEVENT BEGIN:VEVENT UID:imaevent-519e520309034 DTSTART;VALUE=DATE:20140214 DTSTAMP:20130523T122900 SUMMARY:Algebraic Topology in Dynamics\, Differential Equations and Experimental Data[W2.10-14.14] DESCRIPTION: Algebraic Topology in Dynamics\, Differential Equations and Experimental Data CREATED:20130523T122900 DTEND;VALUE=DATE:20140215 END:VEVENT BEGIN:VEVENT UID:imaevent-519e5203099fb DTSTART;VALUE=DATE:20140303 DTSTAMP:20130523T122900 SUMMARY:Topological Systems: Communication\, Sensing\, and Actuation[W3.3-7.14] DESCRIPTION: Topological Systems: Communication\, Sensing\, and Actuation CREATED:20130523T122900 DTEND;VALUE=DATE:20140304 END:VEVENT BEGIN:VEVENT UID:imaevent-519e520309bb5 DTSTART;VALUE=DATE:20140304 DTSTAMP:20130523T122900 SUMMARY:Topological Systems: Communication\, Sensing\, and Actuation[W3.3-7.14] DESCRIPTION: Topological Systems: Communication\, Sensing\, and Actuation CREATED:20130523T122900 DTEND;VALUE=DATE:20140305 END:VEVENT BEGIN:VEVENT UID:imaevent-519e520309d6c DTSTART;VALUE=DATE:20140305 DTSTAMP:20130523T122900 SUMMARY:Topological Systems: Communication\, Sensing\, and Actuation[W3.3-7.14] DESCRIPTION: Topological Systems: Communication\, Sensing\, and Actuation CREATED:20130523T122900 DTEND;VALUE=DATE:20140306 END:VEVENT BEGIN:VEVENT UID:imaevent-519e520309f22 DTSTART;VALUE=DATE:20140306 DTSTAMP:20130523T122900 SUMMARY:Topological Systems: Communication\, Sensing\, and Actuation[W3.3-7.14] DESCRIPTION: Topological Systems: Communication\, Sensing\, and Actuation CREATED:20130523T122900 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UID:imaevent-519e52030ae0a DTSTART;VALUE=DATE:20140430 DTSTAMP:20130523T122900 SUMMARY:Topology and Geometry of Networks and Discrete Metric Spaces[W4.28-5.2.14] DESCRIPTION: Topology and Geometry of Networks and Discrete Metric Spaces CREATED:20130523T122900 DTEND;VALUE=DATE:20140431 END:VEVENT BEGIN:VEVENT UID:imaevent-519e52030afdc DTSTART;VALUE=DATE:20140501 DTSTAMP:20130523T122900 SUMMARY:Topology and Geometry of Networks and Discrete Metric Spaces[W4.28-5.2.14] DESCRIPTION: Topology and Geometry of Networks and Discrete Metric Spaces CREATED:20130523T122900 DTEND;VALUE=DATE:20140502 END:VEVENT BEGIN:VEVENT UID:imaevent-519e52030b18e DTSTART;VALUE=DATE:20140502 DTSTAMP:20130523T122900 SUMMARY:Topology and Geometry of Networks and Discrete Metric Spaces[W4.28-5.2.14] DESCRIPTION: Topology and Geometry of Networks and Discrete Metric Spaces CREATED:20130523T122900 DTEND;VALUE=DATE:20140503 END:VEVENT BEGIN:VEVENT UID:imaevent-519e52030bb26 DTSTART;VALUE=DATE:20140521 DTSTAMP:20130523T122900 SUMMARY:Workshop in Honor of Robert Kohn[SW5.21-23.14] DESCRIPTION: Workshop in Honor of Robert Kohn CREATED:20130523T122900 DTEND;VALUE=DATE:20140522 END:VEVENT BEGIN:VEVENT UID:imaevent-519e52030bcdc DTSTART;VALUE=DATE:20140522 DTSTAMP:20130523T122900 SUMMARY:Workshop in Honor of Robert Kohn[SW5.21-23.14] DESCRIPTION: Workshop in Honor of Robert Kohn CREATED:20130523T122900 DTEND;VALUE=DATE:20140523 END:VEVENT BEGIN:VEVENT UID:imaevent-519e52030be94 DTSTART;VALUE=DATE:20140523 DTSTAMP:20130523T122900 SUMMARY:Workshop in Honor of Robert Kohn[SW5.21-23.14] DESCRIPTION: Workshop in Honor of Robert Kohn CREATED:20130523T122900 DTEND;VALUE=DATE:20140524 END:VEVENT BEGIN:VEVENT UID:imaevent-519e52030c7ca DTSTART;VALUE=DATE:20140908 DTSTAMP:20130523T122900 SUMMARY:TBD[W9.8-12.14] DESCRIPTION: TBD CREATED:20130523T122900 DTEND;VALUE=DATE:20140909 END:VEVENT BEGIN:VEVENT UID:imaevent-519e52030c981 DTSTART;VALUE=DATE:20140909 DTSTAMP:20130523T122900 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