GOHARI Amin

*SHB = Ho Sin Hang Engineering Building, The Chinese University of Hong Kong

Research Interest
  • Classical information theory
  • Molecular Communication
  • Quantum information theory
  • Game theory
Courses Taught

  • ENGG2440 Discrete Mathematics for Engineers
  • ENGG2720 / ESTR2014: Complex Variables for Engineers
  • MIEG2440 / ESTR2362 Discrete Structures and Probability
  • IERG6130: Advanced Topics in Information Engineering II (Positive Semi-definite Matrices and Quantum Information Theory)

GOHARI Amin

Vice-Chancellor Associate Professor
SMIEEE
BSc (Sharif Uni), MSc, PhD (UC Berkeley)
(852) 3943-4326
Room 809, SHB*
agohari [at] ie.cuhk.edu.hk

Amin Gohari received his B.Sc. degree from Sharif University, Iran, in 2004 and his Ph.D. degree in electrical engineering from the University of California, Berkeley in 2010. Dr. Gohari received the 2010 Eli Jury Award from UC Berkeley, Department of Electrical Engineering and Computer Sciences, for “outstanding achievement in the area of communication networks,” and the 2009-2010 Bernard Friedman Memorial Prize in Applied Mathematics from UC Berkeley, Department of Mathematics, for “demonstrated ability to do research in applied mathematics.” He also received the Gold Medal from the 41st International Mathematical Olympiad (IMO 2000) and the First Prize from the 9th International Mathematical Competition for University Students (IMC 2002). He received the IEEE Iran Section Young Researcher Award in 2021. Dr. Gohari served as an Associate Editor for the IEEE Transactions on Information Theory from 2018-2021. He was also a finalist for the IEEE Jack Keil Wolf ISIT Student Paper Award for three consecutive years from 2008-2010 during his PhD.

Recent / Selected Publications
  1. Z. Chen, A. Gohari, and C. Nair. “A Differential Equation Approach to the Most-Informative Boolean Function Conjecture,” IEEE International Symposium on Information Theory, 2025.
  2. M. Sefidgaran, A. Gohari, G. Richard, U. Simsekli. “Rate-distortion theoretic generalization bounds for stochastic learning algorithms,” Conference on Learning Theory (COLT), 2022.
  3. A. El Gamal, A. Gohari, C. Nair. “A strengthened cutset upper bound on the capacity of the relay channel and applications,” IEEE Transactions on Information Theory, 2022.
  4. A. Gohari, C. Nair. “Outer bounds for multiuser settings: The auxiliary receiver approach,” IEEE Transactions on Information Theory, 2021.
  5. H. Ghourchian, A. Amini, and A. Gohari. “How Compressible Are Innovation Processes?” IEEE Transactions on Information Theory, vol. 64, no. 7, pp. 4843-4871, 2018.
  6. S. Beigi and A. Gohari. “Phi-Entropic Measures of Correlation,” IEEE Transactions on Information Theory, vol. 64, no. 4, pp. 2193-2211, 2018.
  7. M. H. Yassaee, M. R. Aref, and A. Gohari. “Achievability Proof via Output Statistics of Random Binning,” IEEE Transactions on Information Theory, vol. 60, no. 11, pp. 6760-6786, 2014.
  8. A. Gohari and V. Anantharam. “Evaluation of Marton’s Inner Bound for the General Broadcast Channel,” IEEE Transactions on Information Theory, vol. 58, no. 2, pp. 608-619, 2012.
Research Interest

  • Classical information theory
  • Molecular Communication
  • Quantum information theory
  • Game theory
Courses Taught

  • ENGG2440 Discrete Mathematics for Engineers
  • ENGG2720 / ESTR2014: Complex Variables for Engineers
  • MIEG2440 / ESTR2362 Discrete Structures and Probability
  • IERG6130: Advanced Topics in Information Engineering II (Positive Semi-definite Matrices and Quantum Information Theory)