Find UC Berkeley Faculty

Research Expertise and Interest

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

Name

Department

Division of Electrical Engineering (EECS)

signal processing, image processing, computer vision, Deep Learning

Mohammad Reza Kaazempur Mofrad

Dept of Bioengineering

Dept of Mechanical Engineering

molecular cell biomechanics, bacterial communities / microbiomes, deep learning for biology and medicine

Pieter Abbeel with PR2 robot

Division of Computer Science (EECS)

robotics, machine learning, artificial intelligence, Deep Learning

Division of Electrical Engineering (EECS)

computationally efficient machine learning and deep learning, AI

Aditi Krishnapriyan

Aditi Krishnapriyan

Dept of Chemical & Biomolecular Engineering

Division of Computer Science (EECS)

machine learning, geometric deep learning, differentiable physics, dynamical systems, numerical methods, computational geometry, optimization

Lexin Li

School of Public Health

neuroimaging data analysis, deep brain stimulation, brain-computer-interface, statistical machine learning, Deep Learning, reinforcement learning, networks data analysis, functional data analysis, tensor analysis, ordinary differential equations, dimension reduction, high dimensional inference

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

Photo Berkeley Library

Dept of Linguistics

computational linguistics, machine learning, artificial intelligence, Generative AI, Deep Learning, speech processing, NLP, phonology, articulatory and acoustic phonetics, historical linguistics, Indo-European linguistics

Dept of Earth and Planetary Science

Seismology, earthquakes, earthquake hazard mitigation, deep earth structure & dynamics, tomography, natural hazards

Barbara Romanowicz

Barbara Romanowicz

Dept of Earth and Planetary Science

earth & planetary science, deep earth structure & dynamics, earthquake processes & scaling laws, real time estimation of earthquake parameters, development of modern broadband seismic and geophysical observatories, planetary seismology

Kannan Ramchandran

Kannan Ramchandran

Division of Computer Science (EECS)

Division of Electrical Engineering (EECS)

statistical and sparse signal processing, adversarial and distributed machine learning, coded computing, privacy and security, scalable distributed video-on-demand delivery, coding theory, communications, information theory, peer-to-peer networking, blockchains

Dept of Statistics

Division of Computer Science (EECS)

machine learning, statistical learning theory, adaptive control

Dan Feldman photo

Dan Feldman

Dept of Molecular & Cell Biology

Dept of Neuroscience

neurobiology, learning, neurophysiology, sensory biology

Song Mei

Dept of Statistics

data science, statistics, 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

Dept of Neuroscience

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

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

Dept of Economics

economics, experimental economics, behavioral economics, networks, microeconomic theory, social learning

Dept of Industrial Engineering & Operations Research

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

Tesha Sengupta-Irving

School of Education

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

School of Education

artificial intelligence, technology, learning, mathematics, science, education, science teaching, gender equity, design of learning environments

Angjoo Kanazawa

Angjoo Kanazawa

Division of Computer Science (EECS)

CS-vision, graphics, machine learning

Division of Computer Science (EECS)

machine learning, data science, artificial intelligence

Bin Yu

Dept of Statistics

machine learning, trustworthy data science and AI, interdisciplinary research in biomedicine, neuroscience, climate science

Kris D. Gutiérrez

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