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Research Expertise and Interest

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Name

Department

mathematics, applied mathematics, partial differential equations, computational physics, level set Methods, computational fluid mechanics and materials sciences, fast marching methods

Michael Jordan

Dept of Statistics

Division of Computer Science (EECS)

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

Alper Atamturk

Dept of Industrial Engineering & Operations Research

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

Panayiotis Papadopoulos

Dept of Mechanical Engineering

continuum mechanics, computational mechanics, contact mechanics, computational plasticity, materials modeling, solid mechanics, applied mathematics, dynamics of pseudo-rigid bodies

Shawn Shadden

Dept of Mechanical Engineering

cardiovascular biomechanics, computational mechanics, computational fluid dynamics, thrombosis, medical image processing, dynamical systems, fluid dynamics, Lagrangian coherent structures, mathematical modeling

Alexei Efros

Division of Computer Science (EECS)

computer vision, computer graphics, computational photography, machine learning, artificial intelligence

Terry Regier

Dept of Linguistics

language and thought, computational linguistics, semantic universals, lexical semantics

Preeya Khanna

Dept of Neuroscience

Division of Electrical Engineering (EECS)

biosystems and computational biology, human-computer interaction, signal processing

Jon Wilkening

Dept of Mathematics

applied mathematics, numerical analysis, computational solid and fluid mechanics

Per-Olof Persson

Dept of Mathematics

applied mathematics, numerical methods, computational fluid and solid mechanics

Alane Suhr

Division of Computer Science (EECS)

artificial intelligence, natural language processing, machine learning, computer vision, computational linguistics

Hayden Taylor

Dept of Mechanical Engineering

manufacturing, microfabrication, nanofabrication, semiconductor manufacturing, computational mechanics, nanoimprint lithography

Amitai Shenhav

Dept of Psychology

cognitive neuroscience, motivation, decision-making, executive functions, computational modeling

Ramon Weber

Dept of Architecture

computational design, sustainability, structural modeling, generative design, embodied carbon

Sunčica Čanić

Dept of Mathematics

applied mathematics, partial differential equations, computational methods, biomedical research

Stuart J. Russell

Division of Computer Science (EECS)

artificial intelligence, computational biology, algorithms, machine learning, real-time decision-making, probabilistic reasoning

Robert L. Taylor

Dept of Civil and Environmental Engineering

computational mechanics, mechanics of solids, finite element methods, finite element software

Ken Kamrin

Dept of Mechanical Engineering

solid and fluid mechanics, constitutive modeling, computational mechanics, physical applied mathematics

David Holtz

Haas School of Business

online marketplaces and platforms, computational social science, data science, experimental economics

Rikky Muller

Division of Electrical Engineering (EECS)

integrated circuits, biosystems and computational biology, micro/nano electro mechanical systems

Andrea A. diSessa

School of Education

education, cognition, conceptual development, science education, design of technology for education, computational literacies

Frederic Theunissen

Dept of Integrative Biology

Dept of Neuroscience

behavior, cognition, brain, psychology, birdsong, vocal learning, audition, neurophysiology, speech perception, computational neuroscience, theoretical neuroscience

Sara McMains

Dept of Mechanical Engineering

geometric and solid modeling, general purpose computation on the GPU (GPGPU), CAD/CAM, computational geometry, computer graphics and visualization, tool path planning, additive manufacturing, computer vision, Deep Learning

Shafi Goldwasser

Division of Computer Science (EECS)

cryptography, computational number theory, complexity theory, fault tolerant distributed computing, probabilistic proof systems, approximation algorithms, theory(THY)

Celeste Kidd

Dept of Psychology

attention, curiosity, learning, computational modeling, cognitive development, machine learning, belief formation

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