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processes, regularity theory of nonlinear degenerate and singular elliptic and parabolic PDEs, free boundary problems, optimal control of free boundary systems with distributed parameters. Current areas
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expertise in areas such as approximate inference, Bayesian statistics, continuous optimization, information geometry, etc. We work on a variety of learning problems, especially those involving supervised
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research utilizing information networks. We focus on maximizing researcher's performances by ensuring efficient network utilization and system/application optimization. Leveraging insights from our
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