Ali Mesbah Dept of Chemical & Biomolecular Engineering model predictive control, learning-based control, low-temperature plasma processing, machine learning and control for plasmas, semiconductor manufacturing
Peter Bartlett Dept of Statistics Division of Computer Science (EECS) machine learning, statistical learning theory, adaptive control
Joel Fajans Dept of Physics astrophysics, plasma processing, physics, basic plasma physics, non-neutral plasmas, basic plasma physics experiments, pure electron plasma traps, cyrogenic plasmas, plasma bifurcations, basic non-linear dynamics, autoresonance
Negar Mehr Dept of Mechanical Engineering robotics, control theory, artificial intelligence, game theory, machine learning
Roberto Horowitz Dept of Mechanical Engineering adaptive control, machine learning, learning and nonlinear control, control of robot manipulators, computer mechatronics systems, micro-electromechanical systems (MEMS), intelligent vehicle, highways systems
Jose M. Carmena Division of Electrical Engineering (EECS) brain-machine interfaces, neural ensemble computation, neuroprosthetics, sensorimotor learning and control
Alexandre Bayen Division of Electrical Engineering (EECS) control, optimization, machine learning, applications: transportation; mobile sensing; connected health
Xin Guo Dept of Industrial Engineering & Operations Research stochastic control and games, theory of machine learning and applications to medical and financial data analysis, applied probability and stochastic models
Grace Gu Dept of Mechanical Engineering Composites, additive manufacturing, in-situ monitoring and process control, artificial intelligence and machine learning, bioinspired materials
David M. Auslander Dept of Mechanical Engineering control systems, simulation, mechatronics, real time software, energy management, satellite attitude control, demand response, machine control
Pieter Abbeel Division of Computer Science (EECS) robotics, machine learning, artificial intelligence, Deep Learning
Anant Sahai Division of Computer Science (EECS) Division of Electrical Engineering (EECS) machine learning, artificial intelligence, information theory, communications theory, wireless communication, cognitive radio, distributed control, spectrum sensing, spectrum sharing, spectrum policy, power consumption in communications systems
Kurt Keutzer Division of Electrical Engineering (EECS) computationally efficient machine learning and deep learning, AI
Jennifer Listgarten Division of Computer Science (EECS) artificial intelligence, machine learning, computational biology, protein engineering, statistical design of experiments, statistical machine learning, experimental design
Benjamin Recht Division of Computer Science (EECS) machine learning, data science, artificial intelligence
Emma Pierson Division of Computer Science (EECS) data science, machine learning, inequality, Healthcare
Ahmed Alaa Computational Precision Health Program machine learning and artificial intelligence, health care, statistics
Paul Grigas Dept of Industrial Engineering & Operations Research optimization, machine learning, data-driven decision-making
Ali Mesbah
