Find UC Berkeley Faculty

Research Expertise and Interest

Use quotes to search for an exact phrase. Example: "computational biology"

Name

Department

Huiwen Jia

Dept of Industrial Engineering & Operations Research

stochastic and robust optimization, machine learning, online learning algorithms, transportation, Revenue Management, service system design

Dept of Industrial Engineering & Operations Research

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

Thibaut Mastrolia

Thibaut Mastrolia

Dept of Industrial Engineering & Operations Research

stochastic control, game theory, finance, optimization

Dept of Environmental Science, Policy & Management

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

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

Dept of Industrial Engineering & Operations Research

stochastic systems, service operations, scheduling and load balancing, telecommunications, computer and internet communications

Dept of Statistics

machine learning, variational inference, Bayesian methods, robustness quantification, applied statistics

Dept of Statistics

fragmentation, statistics, mathematics, Brownian motion, distribution theory, path transformations, stochastic processes, local time, excursions, random trees, random partitions, processes of coalescence

Jonathan Shewchuk

Jonathan Shewchuk

Division of Electrical Engineering (EECS)

scientific computing, computational geometry (especially mesh generation, numerical robustness, surface reconstruction, numerical methods, machine learning, physically-based animation

Francesco Borrelli

Francesco Borrelli

Dept of Mechanical Engineering

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

Dept of Chemistry

physical chemistry, intracellular signal transduction mechanisms, physical chemistry of cell membranes, single molecule imaging, stochastic processes

Dept of Industrial Engineering & Operations Research

control theory, optimization, power systems

Paul Grigas

Dept of Industrial Engineering & Operations Research

optimization, machine learning, data-driven decision-making

Max Willsey

Division of Computer Science (EECS)

programming optimization, programming languages

Ying Cui

Dept of Industrial Engineering & Operations Research

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

Masayoshi Tomizuka with two industrial robot arms.

Masayoshi Tomizuka

Dept of Mechanical Engineering

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

Koushil Sreenath in outside environment

Koushil Sreenath

Dept of Mechanical Engineering

nonlinear control, Legged Robotics, Aerial Robotics

Steven N. Evans

Dept of Mathematics

Dept of Statistics

large random combinatorial structures, random matrices, superprocesses & other measure-valued processes, probability on algebraic structures -particularly local fields, applications of stochastic processes to biodemography, mathematical finance, population genetics, phylogenetics & historical linguistics

Ming at a research conference

Ming Gu

Dept of Mathematics

mathematics, scientific computing, numerical linear algebra, convex optimization

Prasad Raghavendra in outdoor setting

Prasad Raghavendra

Division of Computer Science (EECS)

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

Dept of Industrial Engineering & Operations Research

data mining, integer programming, discrete optimization, network flow techniques, clustering, image segmentation, machine vision, pattern recognition

Dept of Statistics

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

Scott Moura

Dept of Civil and Environmental Engineering

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

Michael I. Jordan

Dept of Statistics

Division of Computer Science (EECS)

computer science, artificial intelligence, computational biology, statistics, machine learning, electrical engineering, applied statistics, optimization

Michael Lindsey

Michael J. Lindsey

Dept of Mathematics

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