Network Realizations of Data-Driven Reduced Order Models and Remote Sensing
Friday, November 15, 2019 at 12:00pm to 1:00pm
54-209
Speaker: Prof. Vladimir Druskin (Worcester Polytechnic Institute)
Abstract:
Network synthesis was at the base of modern electronics design and consecutively of model order reduction that tremendously impacted many areas of engineering by enabling efficient compression of the underlying dynamical systems. In his seminal 1950s works Mark Krein realized that in addition to their compressing properties, such networks can be used to embed the data back into the state space. The networks can learn the underlying PDE system from the data (transfer function) via rigorously chosen hyper-parameters. Among many applications of this powerful approach, we discuss the following two. 1. Our earlier work on the construction of efficient 3D anisotropic Maxwell's solvers that recently became important in the oil industry for geosteering applications. 2. Recent progress in radar imaging for multiple scattering environment.
Prof. Vladimir Druskin graduated from Moscow Oil and Gas Academy with a degree in geophysics in 1979 and received a Ph.D. in applied math from Moscow State University in 1984. He worked at the Central Geophysical Expedition of Russian Oil Ministry and then at Schlumberger-Doll Research. Vladimir recently moved to Worcester Polytechnic Institute (WPI) as a Research Professor. His research interests include efficient computational algorithms for forward and inverse problems, in particular, surface and borehole electromagnetic methods, and also for radar applications. Vladimir is a SIAM fellow and has h=37 in Google Scholar.
- Event Type
- Department
- Department of Mathematics
- Contact Email
- Add to my calendar
Recent Activity
No recent activity