Overview

The Designated Emphasis (DE) in Communication, Computation, and Statistics provides an academic structure for an interdisciplinary exchange of ideas. Many of the most significant developments in modern information technology — including communication and data networks; multimedia information processing; and large-scale, distributed data analysis in science, engineering, and commerce — are no longer the province of a single academic field, but draw on ideas from diverse sources in computer science, electrical engineering, and statistics. The DE in Communication, Computation, and Statistics enables specialized, multidisciplinary training, and research opportunities in various emerging areas of information technology. Admitted students not only participate in a cutting-edge program and receive explicit recognition of specialization in the Designated Emphasis but are also well positioned to compete for the most desirable jobs in information technology, both in academia and in industry.

Graduate Program

Communication, Computation, and Statistics: Designated Emphasis (DE)

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Faculty and Instructors

Faculty

Pieter Abbeel, Associate Professor. Artificial Intelligence (AI), Control, Intelligent Systems, and Robotics (CIR), Machine Learning.
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David Aldous, Professor. Mathematical probability, applied probability, analysis of algorithms, phylogenetic trees, complex networks, random networks, entropy, spatial networks.
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Venkat Anantharam, Professor. Communications & Networking (COMNET), Artificial Intelligence (AI), Control, Intelligent Systems, and Robotics (CIR), Security (SEC), Signal Processing (SP).
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Peter L. Bartlett, Professor. Statistics, machine learning, statistical learning theory, adaptive control.
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Alexandre M. Bayen, Professor. Transportation, modelling and control of distributed parameters systems, large scale infrastructure systems, water distribution.
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John Canny, Professor. Computer science, activity-based computing, livenotes, mechatronic devices, flexonics.
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Laurent El Ghaoui, Professor. Decision-making under uncertainty, convex optimization, robust solutions, semidefinite programming, exhaustive simulation.
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Noureddine El Karoui, Associate Professor. Applied statistics, theory and applications of random matrices, large dimensional covariance estimation and properties of covariance matrices, connections with mathematical finance.
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Adityanand Guntuboyina, Assistant Professor. Nonparametric and high-dimensional statistics, shape constrained statistical estimation, empirical processes, statistical information theory.

Michael I. Jordan, Professor. Computer science, artificial intelligence, bioinformatics, statistics, machine learning, electrical engineering, applied statistics, optimization.
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Daniel Klein, Professor. Artificial Intelligence (AI), Natural Language Processing, Computational Linguistics, Machine Learning.
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Robert C. Leachman, Professor. Logistics, manufacturing, semiconductors, scheduling, supply chain systems, dynamic production models, production planning and scheduling.
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Edward A. Lee, Professor. Embedded Software, Real-Time Systems, Cyber-Physical Systems, Concurrency, Design, Modeling and Analysis (DMA), Programming Systems (PS),Signal Processing (SP).
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Jitendra Malik, Professor. Artificial Intelligence (AI), Biosystems & Computational Biology (BIO), Control, Intelligent Systems, and Robotics (CIR), Graphics (GR), Human-Computer Interaction (HCI), Signal Processing (SP),.
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Kannan Ramchandran, Professor. Communications & Networking (COMNET), Signal Processing (SP), Control, Intelligent Systems, and Robotics (CIR).
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Benjamin Recht, Associate Professor. Control, Intelligent Systems, and Robotics (CIR), Signal Processing (SP), Machine Learning (ML), Optimization (OPT).

Stuart Russell, Professor. Artificial intelligence, computational biology, algorithms, machine learning, real-time decision-making, probabilistic reasoning.
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Anant Sahai, Associate Professor. Communications & Networking (COMNET), Information Theory, Cognitive Radio and Spectrum Sharing, Control, Intelligent Systems, and Robotics (CIR), Distributed and Networked Control, Signal Processing (SP), Theory (THY), Information Theory.
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S. Shankar Sastry, Professor. Computer science, robotics, arial robots, cybersecurity, cyber defense, homeland defense, nonholonomic systems, control of hybrid systems, sensor networks, interactive visualization, robotic telesurgery, rapid prototyping.
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Alistair Sinclair, Professor. Theory (THY), Randomized algorithms, applied probability, statistical physics.
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Claire Tomlin, Professor. Control, Intelligent Systems, and Robotics (CIR), Biosystems & Computational Biology (BIO), Control theory, hybrid and embedded systems, biological cell networks.
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Martin Wainwright, Professor. Statistical machine learning, High-dimensional statistics, information theory, Optimization and algorithmss .
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Bin Yu, Professor. Neuroscience, remote sensing, networks, statistical machine learning, high-dimensional inference, massive data problems, document summarization .
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Avideh Zakhor, Professor. Signal Processing (SP), Artificial Intelligence (AI), Control, Intelligent Systems, and Robotics (CIR), Graphics (GR).
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Emeritus Faculty

Peter J. Bickel, Professor Emeritus. Statistics, machine learning, semiparametric models, asymptotic theory, hidden Markov models, applications to molecular biology.
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Jerome A. Feldman, Professor Emeritus. Artificial Intelligence (AI), Biosystems & Computational Biology (BIO), Security (SEC), cognitive science.
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Nelson Morgan, Professor Emeritus. Signal Processing (SP).

John A. Rice, Professor Emeritus. Transportation, astronomy, statistics, functional data analysis, time series analysis.
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Pravin Varaiya, Professor Emeritus. Communications & Networking (COMNET), Control, Intelligent Systems, and Robotics (CIR), Energy (ENE), Control, Networks, Power systems, Transportation.