Krste Asanovic Division of Computer Science (EECS) computer architecture, VLSI design, parallel programming
Armando Fox Division of Computer Science (EECS) online education, MOOC, blended learning, parallel programming, software engineering, Web development
Sarah Chasins Division of Computer Science (EECS) programming systems, human-computer interaction, programming languages, programming languages and compilers, program synthesis, data science
Ilan Adler Dept of Industrial Engineering & Operations Research mathematical programming, computational game theory, applied probability
Alper Atamturk Dept of Industrial Engineering & Operations Research sparse learning, integer programming, computational optimization, robust optimization, logistics
Koushik Sen Division of Computer Science (EECS) computer science, programming systems, software engineering, programming languages, computational logic, software testing, verification, model checking, runtime monitoring, performance evaluation
Alvin Cheung Division of Computer Science (EECS) program analysis, program synthesis, database application performance, big systems, big data, database management, database management systems, database design and construction, programming languages and compilers, programming languages
Björn Hartmann Division of Computer Science (EECS) human-computer interaction, user interfaces, end-user programming, design tools, prototyping, crowdsourcing, multitouch, sensing
Dorit Hochbaum Dept of Industrial Engineering & Operations Research data mining, integer programming, discrete optimization, network flow techniques, clustering, image segmentation, machine vision, pattern recognition
Sanjit Seshia Division of Computer Science (EECS) Division of Electrical Engineering (EECS) formal methods, computational logic, electronic design automation, computer security, dependable computing, Cyber-Physical Systems, programming languages
Darlene D. Francis School of Public Health biological basis of health disparities, developmental programming, stress, environment x gene interactions, animal models, biopsychosocial approach to health and well-being
Katherine A. Yelick Division of Computer Science (EECS) high performance computing, partitioned Global Address Space programming, communication-avoiding algorithms, automatic performance tuning, high performance data analytics, computational biology
Pierluigi Nuzzo Division of Computer Science (EECS) Division of Electrical Engineering (EECS) cyber-physical systems and design automation, control and intelligent systems and robotics, integrated circuits, computer architecture & engineering, artificial intelligence, power and energy, programming systems, security
Kurt Keutzer Division of Electrical Engineering (EECS) computationally efficient machine learning and deep learning, AI
Ahmed Alaa Computational Precision Health Program machine learning and artificial intelligence, health care, statistics
C. Greig Crysler Dept of Architecture architecture, geopolitics of architectural discourse, globalization and social production of the built environment, architecture and identity
Jasper Rine Dept of Molecular & Cell Biology biology, cell biology, DNA replication, gene regulation, saccharomyces cerevisiae, genetic analysis, genome, cholesterol biosynthetic pathway, modification of proteins, prenylated proteins
Poulomi Saha Dept of English Asian American studies, critical theory, postcolonial theory, spirituality, comparative race and gender, cults
Robert Kaufman Dept of Comparative Literature modern poetry, aesthetics, literary theory, history of criticism, Frankfurt School Critical Theory
Andrea A. diSessa School of Education education, cognition, conceptual development, science education, design of technology for education, computational literacies
Adrian Aguilera Computational Precision Health Program School of Social Welfare digital health, depression interventions, cognitive behavioral therapy, health equity, machine learning, implementation science
Maya L. Petersen School of Public Health Computational Precision Health Program causal inference, precision health, targeted learning, HIV, global health, pandemics
Krste Asanovic
