CyberTraining: Pilot: Employing Proper Orthogonal Decomposition (POD) and High-Performance Computing (HPC) in Advanced CI

Part of NSF Initiative on Workforce Development for Cyberinfrastructure (CyberTraining)

Contact

mailDaqing Hou
dhou@clarkson.edu

Project Instructors

Dr. Daqing Hou

Professor / Director of Software Engineering Electrical & Computer Eng, Clarkson

Daqing Hou is Professor and Director of Software Engineering in the Department of Electrical and Computer Engineering at Clarkson University. He received his doctoral degree in Computing Science from The University of Alberta. His research interests include software engineering and applications, behavioral biometrics, and engineering education. His work is funded by various agencies, including the National Science Foundation, Department of Defense, Air Force Research Lab, IBM, Facebook, among others.

Dr. Ming-Cheng Cheng

Professor Electrical & Computer Eng, Clarkson

Ming-C. Cheng is a professor of Electrical and Computer Engineering at Clarkson University. He received his Ph.D. degree in Electrical Engineering at Polytechnic University, Brooklyn, NY. His research has covered many different areas including transport modeling of semiclassical and quantum devices, optimization of solid-state devices, electro-thermal simulation of solid-state devices and integrated circuits (ICs), and electromagnetic simulation for core losses in magnetic materials. Recently, he has devoted his effort to developing efficient and accurate methods for physics simulations based on data-driven learning algorithms for different areas of research, including dynamic thermal analysis of ICs and CPUs/GPUs, simulations of quantum eigenvalue problems for nanostructures and materials, electromagnetic simulations, etc.

Dr. Yu Liu

Associate Professor Electrical & Computer Eng, Clarkson

Dr. Yu Liu is an Associate Professor in the Department of Electrical and Computer Engineering at Clarkson University. Prior to joining Clarkson University, he was a research scientist at the Canadian Nuclear Laboratories (CNL) from 2013 through 2017. In addition, he was employed at Motorola as a senior software engineer from 2003 through 2007, and IBM from 2011 through 2013. He received his B.S. and M.S. degrees from Sichuan University, China in 2000 and 2003, respectively, and his Ph.D. degree from Southern Illinois University Carbondale in 2011. His research interests include high-performance computing, computer architectures, real-time systems, and wireless sensor networks. He has published over 50 peer-reviewed research papers.

Invited Speakers

Dr. Chunlei Liang (2022)

Professor Mechanical & Aerospace Eng, Clarkson

Dr. Chunlei Liang received his PhD from University of London in Mechanical Engineering and performed a three-year postdoc at Stanford University in the department of Aeronautics and Astronautics before he started his tenure-track position at The George Washington University. Dr. Liang's research interests include computational fluid dynamics and computational magnetohydrodynamics. He received an ONR YIP award in 2014, an NSF CAREER Award in 2016, and a PECASE award in 2019. His research group has won best paper/presentation awards five times from international/national conferences. Dr. Liang is an associate editor of the ASME Journal of Fluids Engineering and also an editorial board member of Computers & Fluids, an Elsevier journal.

Dr. Mike Welland (2022)

Senior Research Scientist Canadian Nuclear Laboratories

Dr. Mike Welland is a Senior Research Scientist and head of the Mesoscale and Transport Methods section at the Canadian Nuclear Laboratories. His research focusses on integration of thermodynamics, interfacial effects, and multiphysics transport models for nuclear and other energy materials.

Dr. Andrew Prudil (2022)

Research Scientist Canadian Nuclear Laboratories

Dr. Andrew Prudil is a Fuel Safety Engineer in the Computational Techniques Branch at Canadian Nuclear Laboratories. There he develops multiphysics computer models to predict and explain the complex behavior of nuclear fuel to improve the economics, safety, and sustainability of nuclear power.

Dr. Guangming Yao (2024)

Associate Professor / Executive Officer Department of Mathematics, Clarkson

Guangming Yao is an associate professor of Mathematics at Clarkson University. She received her Ph.D. degree in Computational Science (Mathematics) at University of Southern Mississippi, Hattiesburg, MS. Prior to joining Clarkson University, she was at Rowan University, Glassboro, NJ and a postdoc at University of Wisconsin at Milwaukee. Her research has covered many different areas including computational partial differential equations, radial basis functions, meshless methods, math education, and mathematical modeling and simulation of biomedical engineering, environmental engineering, biology, financial math and related fields.