Micro-workshop: Data-driven approaches for physical models
The Data-driven approaches for physical models micro-workshop will take place on the University of Minnesota–Twin Cities campus on Monday, May 19th. This workshop will feature two speakers:
Aryan Deshwal
Adaptive Experimental Design to Accelerate Scientific Discovery and Engineering Design
10:30 a.m. – 11:30 a.m.
Aryan Deshwal is an Assistant Professor in the Department of Computer Science and Engineering (CS&E) at University of Minnesota. His research agenda is AI to Accelerate Scientific Discovery and Engineering Design where he focuses on advancing foundations of AI/ML to solve challenging real-world problems with high societal impact in collaboration with domain experts. He won the Outstanding Dissertation Award for his PhD and was selected for Rising Stars in AI by KAUST AI Initiative (2023).
Tobias Blickhan
Parametric model reduction of particle systems: discrete inverse continuity equation (DICE)
1:00 p.m. – 2:00 p.m.
Tobias Blickhan is a Faculty Fellow at the Courant Institute, New York University. He completed his PhD in mathematics at the Technical University of Munich and the Max Planck Institute for Plasma Physics, working with Eric Sonnendrücker. His research focuses on reduced order modeling for parametrized partial differential equations and the application of generative modeling methods to physical systems.
Organizer
This event is sponsored by the National Science Foundation DMS-1846854.
