SC2 Machine Learning Collaborative Workshop
1311 EECS 1301 Beal Ave., Ann Arbor, MI, United States
MICDE seeks proposals for innovative research projects in computational science that combine elements of mathematics, computer science, and cyberinfrastructure. Of interest is innovative computational research in any emerging area, including but not limited to (a) applications such as neuroscience, ecology, environmental science, evolutionary biology, human-made complex systems, urban infrastructure and energy, (b) frameworks for scientific […]
Forum Highlights Oral and poster presentations on Theoretical foundations of data science Data science methodology Data science applications in any research domain Social impact of data science research How to engage industry workshop Adrian Fortino, Partner (Mercury Fund) Mike Psarouthakis, Director (U-M Venture Center) Kevyn Collins-Thompson, Associate Professor, U-M School of Information Mike Cafarella, Associate Professor, […]
Bio: Maziar Raissi is an Assistant Professor of Applied Mathematics (research) in the Division of Applied Mathematics at Brown University. He received his Ph.D. in Applied Mathematics & Statistics, and Scientific Computations from University of Maryland -- College Park in December 2016. Raissi's expertise lies at the intersection of Probabilistic Machine Leaning, Deep Learning, and […]
Bio: Xun (Ryan) Huan is a postdoctoral researcher in the Combustion Research Facility at Sandia National Laboratories. He received a Ph.D. in Computational Science and Engineering from MIT Department of Aeronautics and Astronautics. He also has a master's degree from MIT and a bachelor's degree from the University of Toronto, both in Aerospace Engineering. Xun's […]
Bio: Dr. Xiu Yang received his B.S. and M.Sc. in computational mathematics from Peking University, Beijing, China and Ph.D. in applied mathematics from Brown University, Providence, RI. He is currently a research scientist in computational mathematics group at Pacific Northwest National Laboratory, Richland, WA. His research interests include uncertainty quantification, multi-scale modeling, multi-fidelity data fusion and […]