Research Collaboration Workshop: Optimization and Uncertainty Quantification in Energy and Industrial Applications

February 22 - 24, 2016

Content

Overview

Organizers:

Mihai Anitescu	Argonne National Laboratory
Thomas Grandine	The Boeing Company
Bruce Hendrickson	Sandia National Laboratories

The aim of this workshop is to create a forum for researchers from industry and energy laboratories to discuss optimization and uncertainty quantification arising in their practice. The purpose is to share technology and methods and to describe challenges and research directions. The goal is to spur innovation by creating new research collaborations involving researchers from industry, government, and academia.

Schedule

Monday, February 22, 2016

8:30 am - 8:50 am	Coffee and Registration	Lind 400
8:50 am - 9:00 am	Welcome and Introduction	Lind 305
9:00 am - 9:15 am	Organizer remarks	Lind 305
9:15 am - 10:00 am	National Laboratories & Industry: “What’s our tire company going to do with a nuclear weapons lab?” Loren Miller (DataMetric Innovations LLC)	Lind 305
10:00 am - 10:25 am	An Approach Based on Hierarchical Bayesian Graphical Models (HBGM) for Measurement Interpretation and Parameter Estimation Under Uncertainty Maja Skataric (Schlumberger-Doll Research)	Lind 305
10:25 am - 11:00 am	Break	Lind 400
11:00 am - 11:45 am	Mixed-Integer PDE Constrained Optimization Sven Leyffer (Argonne National Laboratory)	Lind 305
11:45 am - 1:15 pm	Lunch
1:15 pm - 2:00 pm	Optimization, Learning, and Processes Stephen Wright (University of Wisconsin, Madison)	Lind 305
2:00 pm - 2:25 pm	Industrial Operations Researcher Practitioner’s Wish List Laura Kang (The Boeing Company)	Lind 305
2:25 pm - 2:45 pm	Break	Lind 400
2:45 pm - 3:30 pm	Analysis of the Power System Stability Under Uncertainty Alexandre Tartakovsky (Pacific Northwest National Laboratories)	Lind 305
3:30 pm - 3:55 pm	Industry Challenges in Uncertainty Quantification, Model Calibration and Discrepancy Liping Wang (General Electric Corp., Research and Development Center)	Lind 305
3:55 pm - 4:10 pm	Should You Derive or Let the Data Drive? Towards a Hybrid Physics-based Data-driven Symbiosis Lior Horesh (IBM)	Lind 305
4:10 pm - 4:50 pm	Discussion	Lind 305
5:00 pm - 6:30 pm	Reception and Small Group Discussion	Lind 400

Tuesday, February 23, 2016

8:30 am - 9:00 am	Coffee	Lind 400
9:00 am - 9:45 am	A New Approach to Stochastic Inverse Problems for Scientific Inference Donald Estep (Colorado State University)	Lind 305
9:45 am - 10:30 am	Intuition and Analytics in Business Decision Making Karl Kempf (Intel Corporation)	Lind 305
10:30 am - 10:55 am	Lifetime Assurance of Lead-Acid Energy Storage Systems Ben Lee (Siemens AG)	Lind 305
10:55 am - 11:10 am	Break	Lind 400
11:10 am - 11:55 am	Multiscale Modeling in Support of Product Design. Roger Ghanem (University of Southern California)	Lind 305
11:55 am - 12:40 pm	Utilizing Adjoint-Based Techniques to Improve the Accuracy and Reliability in Uncertainty Quantification Timothy Wildey (Sandia National Laboratories)	Lind 305
12:40 pm - 12:50 pm	Group Photo	Lind 305
12:50 pm - 2:30 pm	Lunch and discussion	Lind 400
2:30 pm - 2:50 pm	Challenges and Opportunities for Optimization-based Workflow in Industry Rui Huang (United Technologies Corporation)	Lind 305
2:50 pm - 3:35 pm	Recovering the Best Polynomial Approximation of High-dimensional Parameterized Equations Clayton Webster (Oak Ridge National Laboratory)	Lind 305
3:35 pm - 3:50 pm	Break	Lind 400
3:50 pm - 4:35 pm	Computationally Expensive Multi-objective Optimization Juliane Mueller (Lawrence Berkeley Laboratory)	Lind 305
4:35 pm - 5:00 pm	Quantification and Management of Model Uncertainty in Simulation-Based Vehicle Design Zhen Jiang (Ford Motor Company)	Lind 305
5:00 pm - 5:15 pm	Discussion	Lind 305

Wednesday, February 24, 2016

8:00 am - 9:30 am	Breakfast	Lind 400
9:30 am - 10:15 am	Tractable Experiment Design via Mathematical Surrogates Brian Williams (Los Alamos National Laboratory)	Lind 305
10:15 am - 10:40 am	Challenges and Opportunities of Optimization for Smart Grid Yigang Wang (Eaton Corporation)	Lind 305
10:40 am - 11:00 am	Break	Lind 400
11:00 am - 11:25 am	Energy Drift in Molecular Dynamics Simulations: What causes it, can we quantify its affects, and should we even try? Paul Patrone (National Institute of Standards and Technology)	Lind 305
11:25 am - 11:50 am	Reliability Prediction Framework for Implantable Medical Devices Wei Gan (Medtronic)	Lind 305
11:50 am - 12:15 pm	Stochastic Integer Programming: Parallel distributed-memory Algorithms Deepak Rajan (Lawrence Livermore National Laboratory)	Lind 305
12:15 pm - 12:30 pm	Closing discussion	Lind 305

Participants

Name	Department	Affiliation
Mihai Anitescu	Mathematics and Computer Science Division	Argonne National Laboratory
Joseph Beck		Perceptive Engineering Analytics, LLC
Olus Boratav	Department of Modeling and Simulation	Corning Incorporated
Richard Carter		DNV GL
Wei Chen	Department of Mechanical Engineering	Northwestern University
Robert Crone	Mechanical Research and Development	Seagate Technology
Fernando D'Amato	GE Global Research	General Electric Corp., Research and Development Center
Andrew Dienstfrey	Applied and Computational Mathematics Division	National Institute of Standards and Technology
Donald Estep	Department of Statistics	Colorado State University
Wei Gan		Medtronic
Roger Ghanem	Department of Aerospace and Mechanical Engineering	University of Southern California
Sonja Glavaski		Advanced Research Projects Agency-Energy (ARPA-E)
Thomas Grandine	Department of Applied Mathematics	The Boeing Company
Christopher Ha	Optimization and Advanced Analytics	Caterpillar, Inc
Matthias Heinkenschloss	Department of Computational and Applied Mathematics	Rice University
Bruce Hendrickson	Center for Computing Research	Sandia National Laboratories
Lior Horesh	Mathematical Sciences & Analytics	IBM
Xianfeng (Janice) Hu	Institute of Mathematics and its Applications	University of Minnesota, Twin Cities
Rui Huang	United Technologies Research Center	United Technologies Corporation
Zhen Jiang	Ford Global Data, Insights, and Analytics	Ford Motor Company
Laura Kang		The Boeing Company
Karl Kempf		Intel Corporation
Jeffrey Larson		Argonne National Laboratory
Ben Lee	Department of Production Modeling and Simulation	Siemens AG
Sven Leyffer	Mathematics and Computer Science Division	Argonne National Laboratory
Fu Lin	Mathematics and Computer Science	Argonne National Laboratory
Changzheng Liu	Energy and Transportation Science	Oak Ridge National Laboratory
Sanjay Mehrotra	Department of Industrial Engineering and Management Sciences	Northwestern University
Loren Miller		DataMetric Innovations LLC
Kirsten Morris	Department of Applied Mathematics	University of Waterloo
Juliane Mueller	Computational Research Division	Lawrence Berkeley Laboratory
Geoffrey Oxberry	Computational Engineering Division	Lawrence Livermore National Laboratory
Paul Patrone		National Institute of Standards and Technology
Cosmin Petra	Department of Mathematics and Computer Science	Argonne National Laboratory
Arvind Raghunathan		Mitsubishi Electric Research Laboratories
Deepak Rajan	Center for Applied Scientific Computing	Lawrence Livermore National Laboratory
Bharath Rangarajan	data sciences	Target Corporation
Maja Skataric	Mathematic and Modeling	Schlumberger-Doll Research
James Stewart	Department of Optimization and Uncertainty Quantification	Sandia National Laboratories
Adama Tandia	Department of Modeling and Simulation	Corning Incorporated
Alexandre Tartakovsky	Computational Mathematics	Pacific Northwest National Laboratories
Stan Uryasev	Department of Industrial and Systems Engineering	University of Florida
Bart van Bloemen Waanders	Department of Applied Mathematics and Applications	Sandia National Laboratories
Liping Wang	Aero-Thermal & Mechanical Systems Probabilistics Lab	General Electric Corp., Research and Development Center
Yigang Wang		Eaton Corporation
Jean-Paul Watson	Department of Discrete Math and Optimization	Sandia National Laboratories
Clayton Webster	Computational Engineering and Energy Sciences	Oak Ridge National Laboratory
Timothy Wildey	Department of Optimization and Uncertainty Quantification	Sandia National Laboratories
Brian Williams		Los Alamos National Laboratory
Stephen Wright	Computer Sciences	University of Wisconsin, Madison
Shuzhong Zhang	Department of Industrial and Systems Engineering	University of Minnesota, Twin Cities