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Picture of Michael Chertkov

Michael Chertkov

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

Collaboration(32)

Hao Zhang
Sanlyn Buxner
Marta Civil
Larry Head
Jesse Little

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Grants(10)

IGE: Integrating Data Science into the Applied Mathematics PhD: Generalized Skills for Non-Academic Careers
Active·2023·$1.3M / $500K·
External
Principal Investigator (PI)
data science, applied mathematics, non-academic careers, phd, skills
Reinforcement Learning for Particle Accelerators
Active·2023·$215.4K·
External
Principal Investigator (PI)
reinforcement learning, particle accelerators, machine learning, control systems, physics
Collaborative Research: AMPS: Rare Events in Power Systems: Novel Mathematics, Statistics and Algorithms.
Active·2023·$150K·
External
Principal Investigator (PI)
power systems, mathematics, statistics, algorithms, collaborative research
Physics Informed Machine Learning of Turbulence in Lagrangian Framework
Active·2022·$251.3K·
External
Principal Investigator (PI)
machine learning, turbulence, physics, lagrangian framework, fluid dynamics
Enhancing Pathways to PhD in the Mathematical Sciences
Active·2021·$10.5K / $150K·
External
Co-Investigator (COI)
phd pathways, mathematical sciences, education, higher education, academic careers

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Publications(385)

Recent

Physics-Informed Building Occupancy Detection: a Switching Process with Markov Regime

2024

building energy efficiency, building automation

Improving Predicted Statistics of Velocity Gradient Closures using Parameterized Lagrangian Deformation Models

2024

fluid dynamics, computational modeling, machine learning, data science, applied mathematics

Anomalous Response of Floating Offshore Wind Turbine to Wind and Waves

2024

wind energy, renewable energy

Space-Time Bridge-Diffusion

2024

space-time, diffusion, bridge, space, time

Mixing artificial and natural intelligence: from statistical mechanics to ai and back to turbulence

2024

artificial intelligence, statistical mechanics, turbulence, machine learning

Adaptive Importance Sampling for Enhancing Offshore Wind Turbine Reliability

2024

wind energy, reliability, adaptive sampling

Harmonic Path Integral Diffusion

2024

quantum mechanics, mathematics, physical chemistry, computation, theoretical physics

Mixing Artificial and Natural Intelligence

2024

artificial intelligence, human-machine collaboration, cognitive science, ethical implications, robotics

Topology detection in distribution networks with machine learning

2024

power systems, machine learning, network analysis, data analytics, artificial intelligence

Physics-Informed Critic in an Actor-Critic Reinforcement Learning for Swimming in Turbulence

2024

reinforcement learning, swimming, turbulence, physics-informed