The Scientific AI Research Group focuses on developing machine learning approaches that complements the more classical techniques for challenging scientific computing tasks.
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Richard Tsai
Professor
Richard Tsai received his PhD. in Mathematics in 2002 from UCLA. He was a Veblen Instructor at Princeton University and the Institute for Advanced Study before joining UT. Richard was born in Taiwan and has lived in the United States since 1997.
Richard's current focus is on developing machine learning approaches that complement the more classical techniques for challenging scientific computing tasks. The types of scientific computing problems are multiscale coupling algorithms for initial value problems, nonlinear interface dynamics, partial differential equations on surfaces, multiscale modeling, wave propagation, image processing, sensor networks, robotic path planning problems.