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Research Expertise and Interest

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Name

Department

Masayoshi Tomizuka with two industrial robot arms.

robotics, mechatronics, control systems theory, digital control, dynamic systems, mechanical vibrations, adaptive and optimal control, motion control

Javad Lavaei

Dept of Industrial Engineering & Operations Research

control theory, optimization, power systems

Venkat Anantharam

Division of Electrical Engineering (EECS)

game theory, applied probability, electrical engineering, communications, control, communication networks, error control coding

Thibaut Mastrolia

Dept of Industrial Engineering & Operations Research

stochastic control, game theory, finance, optimization

Negar Mehr

Dept of Mechanical Engineering

robotics, control theory, artificial intelligence, game theory, machine learning

Peter Bartlett

Dept of Statistics

Division of Computer Science (EECS)

machine learning, statistical learning theory, adaptive control

Maria Laura Delle Monache

Dept of Civil and Environmental Engineering

control, transportation, traffic flow theory and control, nonlinear partial differential equations, mathematical modeling, mixed autonomy transportation

Claire Tomlin

Division of Computer Science (EECS)

Division of Electrical Engineering (EECS)

electrical engineering, computer sciences, control, biosystems, control theory, intelligent systems, robotics, hybrid and embedded systems, biological cell networks

Francesco Borrelli

Dept of Mechanical Engineering

automotive control systems, distributed and robust constrained control, manufacturing control systems, energy efficient buildings, model predictive control

Carl Boettiger

Dept of Environmental Science, Policy & Management

theoretical ecology, stochastic processes, optimal control, decision theory, ecoinformatics, data science, tipping points

David M. Auslander

Dept of Mechanical Engineering

control systems, simulation, mechatronics, real time software, energy management, satellite attitude control, demand response, machine control

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

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

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

Murat Arcak

Division of Electrical Engineering (EECS)

control, intelligent systems and robotics, Cyber-Physical Systems, networks, transportation, applications of system theory to aerospace problems, Systems and Synthetic Biology

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

Mark W. Mueller

Dept of Mechanical Engineering

robotics, UAVs, estimation, control

photographed in front of the blackboard in his office

Dan-Virgil Voiculescu

Dept of Mathematics

operator algebras, free probability theory, random matrices, K-theory of operator algebras, single operator theory

Michael Cassidy

Dept of Civil and Environmental Engineering

traffic and transportation operations, traffic control

Jessica Boles

Division of Electrical Engineering (EECS)

power electronic circuits, components, control

Koushil Sreenath

Dept of Mechanical Engineering

nonlinear control, Legged Robotics, Aerial Robotics

Joni Wallis

Dept of Neuroscience

prefrontal cortex, neurophysiology, executive control, decision making

Alberto Sangiovanni-Vincentelli

Division of Electrical Engineering (EECS)

Cyber-Physical Systems, System design, Electronic Design Systems, embedded system design, control, integrated circuits, theory, Machine learning applications to Energy Efficient Building and Health

Jorge Otero-Millan

School of Optometry

ocular motor control, vision while moving, measuring eye movements, eye movements for diagnosis

Jose M. Carmena

Division of Electrical Engineering (EECS)

brain-machine interfaces, neural ensemble computation, neuroprosthetics, sensorimotor learning and control

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