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Karen Willcox, University of Texas-Austin
Karen E. Willcox is Director of the Oden Institute for Computational Engineering and Sciences, Associate Vice President for Research, and Professor of Aerospace Engineering and Engineering Mechanics at the University of Texas at Austin. She holds the W. A. “Tex” Moncrief, Jr. Chair in Simulation-Based Engineering and Sciences and the Peter O’Donnell, Jr. Centennial Chair in Computing Systems. Prior to joining the Oden Institute in 2018, she spent 17 years as a professor at the Massachusetts Institute of Technology, where she served as Professor of Aeronautics and Astronautics, the founding Co-Director of the MIT Center for Computational Engineering, and the Associate Head of the MIT Department of Aeronautics and Astronautics. She is also an External Professor at the Santa Fe Institute. Willcox holds a Bachelor of Engineering Degree from the University of Auckland, New Zealand, and masters and PhD degrees from MIT.
Her research has produced scalable computational methods for design of next-generation engineered systems, with a particular focus on model reduction as a way to learn principled approximations from data and on multi-fidelity formulations to leverage multiple sources of information in decision-making and uncertainty quantification
Geroge Karniadakis, Brown University
George Karniadakis received his S.M. (1984) and Ph.D. (1987) from Massachusetts Institute of Technology. He was appointed Lecturer in the Department of Mechanical Engineering at MIT in 1987 and subsequently he joined the Center for Turbulence Research at Stanford / Nasa Ames. He joined Princeton University as Assistant Professor in the Department of Mechanical and Aerospace Engineering and as Associate Faculty in the Program of Applied and Computational Mathematics. He was a Visiting Professor at Caltech (1993) in the Aeronautics Department. He joined Brown University as Associate Professor of Applied Mathematics in the Center for Fluid Mechanics and has been a full professor since 1996. He has been a Visiting Professor and Senior Lecturer of Ocean/Mechanical Engineering at MIT since 2000. He was a Visiting Professor at Peking University (Fall 2007 & 2013) and he has had a joint appointment with PNNL since 2013.
His current research interests are on machine learning for scientific computing (Scientific Machine Learning), that is how to solve and discover new PDEs via deep learning, hence removing the tyranny of grids and using gappy data only.
Lallit Anand, Massachusetts Institute of Technology
Lallit Anand finished his bachelors in mechanical engineering from the Indian Institute of technology Kharagpur in 1970. He went on to earn his Ph.D from brown University in 1975. He then began working as a researcher in the United States steel corporations of the mechanical sciences division of the fundamental research laboratory, and then was appointed senior researcher. He served in that post until 1981. He joined the faculty in the Department of mechanical engineering Massachusetts Institute of technology MIT in 1982 and worked there for more than thirty-six years. From 2008 to 2013, he served as head of the area for mechanics. He currently holds the title of Warren and Towneley Rohsenow Professor of mechanical engineering. Professor Anand was a mentor to more than 25 graduate students during his years as Professor at Massachusetts Institute of technology. He was elected to the National Academy of engineering in 2018.
In his research, Anand focuses on solid mechanics, continuum mechanics and plasticity. Many of the theories that he developed in his research have been used in finite element-based computer programs and are widely used for construction and materials-development of project documentation in engineering.
Laura Albert, University of Wisconsin-Madison
Professor Laura Albert’s research applies operations research methodologies to important societal applications. Her primary methodological base is discrete optimization, including integer programming and Markov decision processes. She has applied operations research methodologies to address public sector problems related to emergency medical services, homeland security, critical infrastructure protection, public safety, and disaster response and recovery.
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List of 2020 Participating Organizations:
360 Med Care • Aarhus University •Advanced Science and Automation Corp. • Akamai Technologies • Amazon • Amcor • Aston University • Argonne National Laboratory • Arizona State University • ATA Engineering • Autonomous Solutions Inc. • British Aerospace Engineering • Caterpillar • CAVS-Mississippi State University • CIMSS/SSEC • Clemson University • CM Labs Simulations Inc. • Dow Chemical Company • DSIM TECH • Dynamic Dimension Technologies • Engys • ExxonMobil • Function Bay • Georgia Tech • Harley-Davidson Motor Co. • Herman Design Works • Hexagon • Hong Kong University of Science and Technology • Illinois Institute of Technology • Indiana University Purdue University Indianapolis • ISAE Supaero • Jet Propulsion Laboratory • John Deere • Johns Hopkins University • MathWorks, McGill University • Michigan Technological University • MIT • Nevada Automotive Testing Center • National Science Foundation • NCD Technologies • Northwestern University • Louisiana State University • Ohio State University • OPPO US Research Institute • Oshkosh Corporation • Pacific Northwest National Laboratory • RAMDO Solutions • Rutgers University • Simulation Based Engineering Lab • Software Cradle • S. Africa Council for Scientific and Industrial Research • TOPS Lab • Universidad Austral de Chile • University of Iowa • Universidad Michoacana de San Nicolás de Hidalgo • University of British Columbia • University of Chicago • University of Parma • University of Wisconsin – Madison • UPC Barcelona • US Army GVSC Analytics • US Army Research Office • USACE Engineer Research and Development Center • Tesla • Wisconsin Alumni Research Foundation (WARF) • Worcester Polytechnic Institute • More!
For a showcase of emerging computing technologies, cutting edge AI research, networking opportunities and posters from UW-Madison’s best computing students, don’t miss the Computing in Engineering Forum!