Overview
Research covers theory, simulation, and implementation. We study the fundamental problems in information and coding theory, communication, data science, network science, optimization, statistics, machine learning, distributed systems, economics, statistical signal processing, and stochastic control. The motivations are guided by societally important applications such as data centers, distributed storage and content delivery, peertopeer computing, social networks, control over wireless networks, cognitive radio, spectrum sharing, scheduling, privacy and security, incentive and mechanism design with resource constraints, sensor networks, transportation systems, hybrid systems, systems biology, DNA and RNA sequencing and storage, and MRI. We develop and apply tools in probability theory, information and coding theory, functional analysis, convex geometry, queuing theory, stochastic processes, optimization theory, statistical physics, statistics, and game theory. We also research fundamental building blocks of largescale communication and computing infrastructures.
Topics

Information and coding theory
Shannon theory, lossless and lossy data compression, algebraic codes, polar codes, LDPC codes, Turbo codes, distributed compression, network coding.

Machine learning and data science
Graphical models, highdimensional statistics, approximation theory, adaptive inference, nonparametric inference, statistical learning theory, individual sequence learning theory, reinforcement learning, distributed estimation, robust statistics.

Optimization
Convex and nonconvex optimization, stochastic optimization, stochastic approximation, computationally efficient statistical algorithms, statistical and computational tradeoff.

Probability theory and functional analysis
Highdimensional probability, measure concentration, matrix concentration, limit theorems, entropy power inequality, interplay between information theory and probability theory, convex geometry, stochastic processes, queuing theory.

Network design and analysis
Peertopeer networks, quality of service, communication for control, crosslayer optimization, simulation tools, privacy and security, social networks, information networks.

Wireless and sensor networks
Architectures and protocols for adhoc, mobile and vehicular networks, multiple antennas, opportunistic communication, cognitive radio, and spectrum sharing, control over wireless networks.

Systems biology
DNA and RNA sequencing and compression.

Economics and game theory
Mechanism and market design, urban economics, marketbased architectures, incentive compatibility, auction design.

Distributed systems
Byzantine fault tolerance, permissioned and permissionless distributed consensus, distributed content delivery.

Implementations
Energyefficient transceivers, ultra lowenergy wireless sensors, communication system/circuit codesign, magnetic resonance imaging.
Research Centers
 Berkeley Equity and Access in Algorithms, Mechanisms, and Optimization
 Berkeley Laboratory for Information and System Sciences
 Berkeley Wireless Research Center
 Center for the Theoretical Foundations of Learning, Inference, Information, Intelligence, Mathematics and Microeconomics at Berkeley
 SWARM Lab
 TsinghuaUC Berkeley Shenzhen Institute
 Video and Image Processing Lab
Faculty
Primary
 Venkat Anantharam (coordinator)
 Jennifer Chayes
 Thomas Courtade
 Gerald Friedland
 Jiantao Jiao
 Michael Lustig
 Kannan Ramchandran
 Gireeja Ranade
 Anant Sahai
 Martin Wainwright
 Jean Walrand
Secondary
 Elad Alon
 John Chuang
 Venkatesan Guruswami
 Kam Y. Lau
 Edward A. Lee
 Song Mei
 David G. Messerschmitt
 Ali Niknejad
 Borivoje Nikolic
 Shyam Parekh
 Jan M. Rabaey
 Jaijeet Roychowdhury
 Jacob Steinhardt
 Vladimir Stojanovic
 Eugene Wong
 Avideh Zakhor
Faculty Awards
 SIAM John von Neumann Lecture Prize: Jennifer Chayes, 2015.
 National Academy of Sciences (NAS) Member: Jennifer Chayes, 2019.
 National Academy of Engineering (NAE) Member: David G. Messerschmitt, 1990. Eugene Wong, 1987.
 American Academy of Arts and Sciences Member: Jennifer Chayes, 2014. Eugene Wong, 1980.
 Berkeley Citation: Edward A. Lee, 2018. David G. Messerschmitt, 2005. Eugene Wong, 1994.
 Sloan Research Fellow: Michael Lustig, 2013. Martin Wainwright, 2005. Venkatesan Guruswami, 2005. Jennifer Chayes, 1989.
Related Courses
 CS 70. Discrete Mathematics and Probability Theory
 EECS 126. Probability and Random Processes
 EE 120. Signals and Systems
 EE 121. Introduction to Digital Communication Systems
 EE 122. Introduction to Communication Networks
 EE 123. Digital Signal Processing
 EE 126. Probability and Random Processes
 EE 224A. Digital Communications
 EE 224B. Fundamentals of Wireless Communication
 EE 226A. Random Processes in Systems
 EE 226B. Applications of Stochastic Process Theory
 EE 228A. High Speed Communications Networks
 EE 229. Information Theory and Coding
 EE 229A. Information Theory and Coding
 EE 229B. Error Control Coding
 EE 290Q. Advanced Topics in Electrical Engineering: Advanced Topics in Communication Networks