Find UC Berkeley Faculty

Name

Department

Research Expertise

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machine learning

Showing 51 - 75 of 96 Results

Jennifer Listgarten

Jennifer Listgarten

Division of Computer Science (EECS)

Dept of Molecular & Cell Biology

biochemistry, biophysics, Structural Biology

Jitendra Malik

Division of Computer Science (EECS)

computer science, electrical engineering, vision science, computer vision, robotics

Negar Mehr

Dept of Mechanical Engineering

artificial intelligence, control theory, robotics, game theory, machine learning

Song Mei

Song Mei

Dept of Statistics

data science, statistics, machine learning

Ali Mesbah

Ali Mesbah

Dept of Chemical & Biomolecular Engineering

model predictive control, learning-based control, low-temperature plasma processing, machine learning and control for plasmas, semiconductor manufacturing

Khalid M. Mosalam

Khalid M. Mosalam

Dept of Civil and Environmental Engineering

bridges, concrete and masonry structures, damage mechanics, earthquake engineering, fracture mechanics, machine learning

Division of Computer Science (EECS)

theory, algorithms, streaming algorithms, dimensionality reduction, randomized algorithms, machine learning, privacy

Dan Nomura in lab setting with others in the background.

Dept of Chemistry

Dept of Molecular & Cell Biology

Dept of Nutritional Sciences & Toxicology

chemistry, molecular and cell biology, chemical biology, cancer, drug discovery, chemoproteomics, undruggable

Ziad Obermeyer

School of Public Health

machine learning, and medicine, health policy

Aditya Parameswaran

Aditya Parameswaran

Division of Computer Science (EECS)

School of Information

database management systems, human-computer interaction, data science, information visualization

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, and blockchains.

Benjamin Recht

Division of Computer Science (EECS)

machine learning, data science, artificial intelligence

Canandgown

James W. Rector

Dept of Civil and Environmental Engineering

geoarchaeology, geophysics, acoustics, Seismology, machine learning, geoarchaeology, energy, carbon capture and storage, Oil and Gas

Jaijeet Roychowdhury

Division of Electrical Engineering (EECS)

artificial intelligence, cyber-physical systems and design automation, computer architecture & engineering

Stuart Russell in outdoor environment

Stuart J. Russell

Division of Computer Science (EECS)

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

Anant Sahai

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

Alberto Sangiovanni-Vincentelli sitting with hand extended in front of diagram.

Alberto Sangiovanni-Vincentelli

Division of Electrical Engineering (EECS)

Cyber-Physical Systems, System design, Electronic Design Systems, embedded system design, control, integrated circuits, theory, Machine learning applications to Energy Efficient Building and Health

David Savage

Dept of Molecular & Cell Biology

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

Uros Seljak in 2023

Uros Seljak

Dept of Physics

astrophysics, cosmology, machine learning, Bayesian statistics

Vira Semenova

Dept of Economics

econometrics, machine learning

Karthik Shekhar

Karthik Shekhar

Dept of Chemical & Biomolecular Engineering

cellular and systems biology, statistical inference, single-cell genomics

Jonathan Shewchuk

Jonathan Shewchuk

Division of Electrical Engineering (EECS)

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

Daniel Siefman in outside setting

Dept of Nuclear Engineering

neutronics, criticality safety, nuclear data validation, machine learning, neutron noise, reactor dosimetry