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Research Expertise and Interest

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Name

Department

Katrin Wehrheim

Dept of Mathematics

low-dimensional topology, symplectic topology, geometry/topology

Ian Agol

Dept of Mathematics

topology of 3-manifolds, interaction hyperbolic geometry, low-dimensional topology

Richard H. Bamler

Dept of Mathematics

geometric analysis, differential geometry, topology

John Lott

Dept of Mathematics

differential geometry, geometric analysis, geometry/topology

Tony Feng

Dept of Mathematics

number theory, algebraic geometry, topology, representation theory

Alper Atamturk

Dept of Industrial Engineering & Operations Research

sparse learning, integer programming, computational optimization, robust optimization, logistics

Constantin Teleman

Dept of Mathematics

algebraic geometry, Lie groups, topology, topological quantum field theory

Michael Hutchings

Dept of Mathematics

mathematics, symplectic geometry, contact geometry, low dimensional topology, dynamics

Ying Cui

Dept of Industrial Engineering & Operations Research

continuous optimization, optimization under uncertainty, statistical estimations, machine learning, artificial intelligence

Max Willsey

Division of Computer Science (EECS)

programming optimization, programming languages

Javad Lavaei

Dept of Industrial Engineering & Operations Research

control theory, optimization, power systems

Thibaut Mastrolia

Dept of Industrial Engineering & Operations Research

stochastic control, game theory, finance, optimization

Satish Rao

Division of Computer Science (EECS)

combinatorial optimization, design and analysis of algorithms

Paul Grigas

Dept of Industrial Engineering & Operations Research

optimization, machine learning, data-driven decision-making

Prasad Raghavendra

Division of Computer Science (EECS)

theory(THY), optimization, complexity theory, approximation algorithms

Boubacar Kante

Division of Electrical Engineering (EECS)

optoelectronics, quantum optics, optimization, Antennas, Biophysics and Sensing

Ming Gu

Dept of Mathematics

mathematics, scientific computing, numerical linear algebra, convex optimization

Sam Pimentel

Dept of Statistics

causal inference, health services & policy analysis, biostatistics, discrete optimization

Anil Aswani

Dept of Industrial Engineering & Operations Research

machine learning and artificial intelligence, precision health, optimization, statistics

Rajan Udwani

Dept of Industrial Engineering & Operations Research

algorithms, optimization under uncertainty, Revenue Management, pricing, online platforms

Scott Moura

Dept of Civil and Environmental Engineering

control systems, optimization, data science, batteries, electric vehicles, energy systems

Michael J. Lindsey

Dept of Mathematics

applied mathematics, mathematical analysis, probability, numerical analysis, optimization, Monte Carlo methods

Duncan Callaway

Dept of Energy & Resources Group

Division of Electrical Engineering (EECS)

energy systems analysis, grid decarbonization, modeling and control and optimization for electric power systems

Alexandre Bayen

Division of Electrical Engineering (EECS)

control, optimization, machine learning, applications: transportation; mobile sensing; connected health

Venkatesan Guruswami

Dept of Mathematics

Division of Computer Science (EECS)

theoretical computer science, coding theory, approximate optimization, randomness in computation, computational complexity

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