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KMap# Profile

Professor, Statistics-GIDP | Professor, Mathematics | Chair, Applied Mathematics - GIDP | Member of the Graduate Faculty

I was educated in Russia (M.Sc. '90, Novosibirsk State U) and Israel (Ph.D. '96, Weizmann Institute) in theoretical and statistical physics, spent '96-'99 as a Dicke fellow at Princeton U/Physics (1996-99) and moved to Los Alamos, NM in 1999, first as an Oppenheimer fellow and then as a staff member in Theory Division and Center for Nonlinear Studies at Los Alamos National Laboratory (LANL). In January of 2019, relocated to Tucson, where I am the Chair of the Graduate InterDisciplinary Program (GIDP) in Applied Mathematics and Professor of Mathematics at the UArizona. I also have an appointment with the Department of Computer Science (courtesy) and is a member of the GIDP in Statistics and Data Science at UArizona. My area of current research focus is Scientific AI (Sc-AI), that is AI applied to systems, networks and models in physical (mainly statistical hydrodynamics), engineering (mainly energy networks) and health (mainly epidemiology, both viral and social) sciences. I view Sc-AI as a part of the contemporary applied mathematics. My Sc-AI includes Physics-Informed Data Science and Machine Learning. I love to use and develop, in all the theoretical and applied disciplines I work on, the Probabilistic Graphical Models as a methodology leading to efficient algorithms for solving challenging inference, learning, optimization and control problems.I was educated in Russia (M.Sc. '90, Novosibirsk State U) and

machine learning, power systems, optimization, fluid dynamics, turbulence, physics, graphical models, energy management, data analysis, power grids, natural gas, belief propagation, data-driven modeling, topology, algorithms, statistical mechanics, risk management, energy systems, modeling, model reduction, ensemble control, turbulence modeling, graph theory, smart grid, renewable energy integration, smart grids, optimal control, control systems, energy, renewable energy