World's Best Scientists 2026 revealed!

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Computer Science

D-Index
83
Citations
36771
World Ranking
887
National Ranking
484

Electronics and Electrical Engineering

D-Index
76
Citations
31999
World Ranking
633
National Ranking
283

Overview

Babak Hassibi is affiliated with the California Institute of Technology in the United States. Their research spans multiple areas within computer science and engineering, with a significant focus on control systems, optimization, and communications.

Their publishing record includes a variety of recent papers, such as:

  • Logarithmic Regret Bound in Partially Observable Linear Dynamical Systems, 2020, arXiv (Cornell University)
  • The Power of Linear Controllers in LQR Control, 2022, 2022 IEEE 61st Conference on Decision and Control (CDC)
  • MOCZ for Blind Short-Packet Communication: Practical Aspects, 2020, IEEE Transactions on Wireless Communications
  • Stochastic Mirror Descent on Overparameterized Nonlinear Models, 2021, IEEE Transactions on Neural Networks and Learning Systems
  • Regret-Optimal Estimation and Control, 2023, IEEE Transactions on Automatic Control

The scientist frequently collaborates with other researchers including Sahin Lale, Oron Sabag, Victoria Kostina, Danil Akhtiamov, and Reza Ghane.

Key publication venues where their work has appeared include:

  • arXiv (Cornell University)
  • IEEE Transactions on Information Theory
  • IEEE Transactions on Automatic Control
  • IEEE Transactions on Signal Processing
  • 2022 IEEE 61st Conference on Decision and Control (CDC)

Their main fields of study involve Computer Science and Engineering. Subfields represented in their work include:

  • Artificial Intelligence
  • Control and Systems Engineering
  • Management Science and Operations Research
  • Computer Networks and Communications
  • Electrical and Electronic Engineering

Their research covers a range of topics such as:

  • Advanced Bandit Algorithms Research
  • Advanced Control Systems Optimization
  • Distributed Sensor Networks and Detection Algorithms
  • Sparse and Compressive Sensing Techniques
  • Control Systems and Identification
  • Stochastic Gradient Optimization Techniques
  • Domain Adaptation and Few-Shot Learning

Best Publications

  • How much training is needed in multiple-antenna wireless links?

    B. Hassibi;B.M. Hochwald

  • Second order derivatives for network pruning: Optimal Brain Surgeon

    Babak Hassibi;David G. Stork

  • High-rate codes that are linear in space and time

    B. Hassibi;B.M. Hochwald

  • On the capacity of MIMO broadcast channels with partial side information

    M. Sharif;B. Hassibi

  • On the sphere-decoding algorithm I. Expected complexity

    B. Hassibi;H. Vikalo

  • The Secrecy Capacity of the MIMO Wiretap Channel

    F. Oggier;B. Hassibi

  • Distributed Space-Time Coding in Wireless Relay Networks

    Y. Jing;B. Hassibi

  • Optimal Brain Surgeon and general network pruning

    B. Hassibi;D.G. Stork;G.J. Wolff

  • An efficient square-root algorithm for BLAST

    B. Hassibi

  • Indefinite-quadratic estimation and control: a unified approach to H 2 and H ∞ theories

    Babak Hassibi;Ali H. Sayed;Thomas Kailath

  • On a stochastic sensor selection algorithm with applications in sensor scheduling and sensor coverage

    Vijay Gupta;Timothy H. Chung;Babak Hassibi;Richard M. Murray

  • On the Reconstruction of Block-Sparse Signals With an Optimal Number of Measurements

    M. Stojnic;F. Parvaresh;B. Hassibi

  • Representation theory for high-rate multiple-antenna code design

    A. Shokrollahi;B. Hassibi;B.M. Hochwald;W. Sweldens

  • Optimal LQG Control Across Packet-Dropping Links

    Vijay Gupta;Babak Hassibi;Richard M. Murray

  • Capacity of wireless erasure networks

    A.F. Dana;R. Gowaikar;R. Palanki;B. Hassibi

  • A Comparison of Time-Sharing, DPC, and Beamforming for MIMO Broadcast Channels With Many Users

    M. Sharif;B. Hassibi

  • Iterative decoding for MIMO channels via modified sphere decoding

    H. Vikalo;B. Hassibi;T. Kailath

  • Linear estimation in Krein spaces. I. Theory

    B. Hassibi;A.H. Sayed;T. Kailath

  • On the sphere-decoding algorithm II. Generalizations, second-order statistics, and applications to communications

    H. Vikalo;B. Hassibi

  • Blind channel identification based on second-order statistics: a frequency-domain approach

    Lang Tong;Guanghan Xu;B. Hassibi;T. Kailath

  • Linear Estimation (Information and System Sciences Series)

    T Kailath;Ali H. Sayed;B Hassibi

  • 2006 IEEE International Symposium on Information Theory

    J. A. O'Sullivan;J. B. Anderson;A. Barg;A. Ashikhmin

Frequent Co-Authors

Thomas Kailath
Thomas Kailath Stanford University
Haris Vikalo
Haris Vikalo The University of Texas at Austin
Weiyu Xu
Weiyu Xu University of Iowa
Ali H. Sayed
Ali H. Sayed École Polytechnique Fédérale de Lausanne
Bertrand M. Hochwald
Bertrand M. Hochwald University of Notre Dame
Richard M. Murray
Richard M. Murray California Institute of Technology
Vijay Gupta
Vijay Gupta Purdue University West Lafayette
Yindi Jing
Yindi Jing University of Alberta
Alexandros G. Dimakis
Alexandros G. Dimakis The University of Texas at Austin
A. Salman Avestimehr
A. Salman Avestimehr University of Southern California

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