0000-0002-6758-515X About
Michael (Misha) Chertkov's areas of interest include mathematics and statistics applied to physical, engineering and data sciences. Dr. Chertkov received his Ph.D. in physics from the Weizmann Institute of Science in 1996, and his M.Sc. in physics from Novosibirsk State University in 1990. After his Ph.D., Dr. Chertkov spent three years at Princeton University as a R.H. Dicke Fellow in the Department of Physics. He joined Los Alamos National Lab in 1999, initially as a J.R. Oppenheimer Fellow in the Theoretical Division, and continued as a Technical Staff Member leading projects in physics of algorithms, energy grid systems, physics and engineering informed data science and machine learning for turbulence. In 2019 Prof. Chertkov moved to Tucson to lead Interdisciplinary Graduate Program in Applied Mathematics at the University of Arizona, continuing to work for LANL part time. Dr. Chertkov has published more than 200 papers. He is a fellow of the American Physical Society (APS) and a senior member of IEEE.
Employment
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University of Arizona Chair of Program in Applied Mathematics2019 - Present
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (352)
- Adaptive Path Integral Diffusion: AdaPID Save
- U-Turn Diffusion Save
- Harmonic Path Integral Diffusion Save
- Mixing Artificial and Natural Intelligence: From Statistical Mechanics to AI and Back to Turbulence Save
- Mixing artificial and natural intelligence: from statistical mechanics to AI and back to turbulence Save
- Physics-Guided Actor-Critic Reinforcement Learning for Swimming in Turbulence Save
- Physics-Informed Building Occupancy Detection: a Switching Process with Markov Regime Save
- Space-Time Diffusion Bridge Save
- Space-Time Diffusion Bridge Save
- Topology detection in distribution networks with machine learning Save