PICTURE OF VENU

Venugopal V. Veeravalli

Henry Magnuski Professor, ECE
Affiliate of Statistics, CSL and ITI

Contact Information

Electrical & Computer Engineering
Statistics
Coordinated Science Lab
Discovery Partners Institute
University of Illinois at Urbana-Champaign
Biography
Detailed CV (Updated Aug 2024)
Grad Students/Postdocs
Publications
Citations (Google Scholar)

Books

Book Cover Book Cover
Errata List

Research

Veeravalli's research interests span the theoretical areas of statistical inference, machine learning, and information theory, with applications to data science, wireless communications, sensor networks and cyberphysical systems.

Current Research Topics:
  • Compression for distributed learning and inference
  • Controlled sensing for quickest change detection
  • Nonparametric methods for quickest change detection
  • Robust inference and learning
  • Nonstationary multi-armed bandits, Markov decision processes and reinforcement learning
  • Out-of-distribution detection in machine learning
  • Adaptive line search for distributed compressed stochastic gradient descent and applications to distributed learning
  • Robust mean estimation in high dimensions
  • Multiuser multi-armed bandits for dynamic spectrum access

    For further information, see the publications and current projects pages.

    Education

    Classes