Find UC Berkeley Faculty

Research Expertise and Interest

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Name

Department

John Wawrzynek

Division of Electrical Engineering (EECS)

computer architecture, reconfigurable computing, wireless systems, integrated circuit and system design

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

Grace Gu

Dept of Mechanical Engineering

Composites, additive manufacturing, in-situ monitoring and process control, artificial intelligence and machine learning, bioinspired materials

Masayoshi Tomizuka

Dept of Mechanical Engineering

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

David Savage

Dept of Molecular & Cell Biology

biochemistry, metabolism, photosynthetic systems, Systems and Synthetic Biology, protein engineering

Scott Moura

Dept of Civil and Environmental Engineering

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

Michael Jordan

Dept of Statistics

Division of Computer Science (EECS)

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

Jan M. Rabaey

Division of Electrical Engineering (EECS)

sensor networks, integrated circuits, integrated wireless systems, low-power system design, biomedical interfaces

Ren Ng

Division of Computer Science (EECS)

imaging systems, computational photography, graphics, optics, computer vision, human vision, signal processing, artificial intelligence

Christian Borgs

Division of Computer Science (EECS)

theoretical computer science, probability theory, combinatorics, complex networks, statistical physics, artificial intelligence, applications of artificial intelligence and machine learning in engineering and sciences

Ryan Tibshirani

Dept of Statistics

statistical computing, applications in public health, high-dimensional data analysis, nonparametric inference, artificial intelligence, machine learning

Sylvia Ratnasamy

Division of Computer Science (EECS)

operating systems & networking

Dan Feldman

Dept of Molecular & Cell Biology

Dept of Neuroscience

neurobiology, learning, neurophysiology, sensory biology

Michael Ranney

School of Education

Dept of Psychology

Problem solving, knowledge representation & reorganization, explanatory coherence & inference, conceptual change, societal implications, science instruction, global climate change psychology, numeracy in journalism, naïve/informal physics, computational models of cognition, perceptual-cognitive interactions, intelligent tutoring systems, understandings of biological evolution, Reasoning, qualitative & quantitative thinking

Vira Semenova

Dept of Economics

econometrics, machine learning

Van P. Carey

Dept of Mechanical Engineering

mechanical engineering, use of machine learning to develop high performance energy conversion and thermal management technologies, micro-to-nanoscale modeling of the thermophysics of multiphase systems, waste plastic transport in environmental watersheds, waste plastic recycling

David Foster

Dept of Neuroscience

behavioral neurophysiology of spatial learning and memory, hippocampus replay, computational models of reinforcement learning and navigationf

Celeste Kidd

Dept of Psychology

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

Kris D. Gutiérrez

School of Education

designed learning environments, Cultural dimensions of learning, language and literacy learning for dual language learners, biliteracy, new media literacies, the social organization of learning, ethnographic methodology and qualitative approaches to inquiry, design experiment/social design experiments, education of Latino, immigrant, migrant youth, urban education, teacher learning, educational and language policy

Tesha Sengupta-Irving

School of Education

STEM education, learning sciences, inequality & resistance, politics of learning, case study & design-based research

Somayeh Sojoudi

Division of Electrical Engineering (EECS)

large-scale complex systems

Song Mei

Dept of Statistics

data science, statistics, machine learning

Avideh Zakhor

Division of Electrical Engineering (EECS)

signal processing, image processing, computer vision, Deep Learning

Angjoo Kanazawa

Division of Computer Science (EECS)

CS-vision, graphics, machine learning

Fei Xu

Dept of Psychology

cognitive development, language development, learning mechanisms, statistical learning and statistical inference, conceptual development, developmental psychology, word learning, physical reasoning, social cognition in infants and children, learning in infants and young children, computational models of cognitive development, cognitive development and AI models, psychology and philosophy

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