Prof. NAIR Chandra M.

Associate Professor (SMIEEE)
Education: B.Tech (IIT-Madras), MS and PhD (Stanford)
Research Area: Communications and Information Theory
Tel: (852) 3943-8467
Fax: (852) 2603-5032
Address: Rm 811 SHB
Email: chandra [@] ie.cuhk.edu.hk

Prof. Nair's personal website

Research Interests

  • Multiuser Information Theory
  • Combinatorial Optimization
  • Probability theory
  • Algorithms

Courses Taught

  • Basic Circuit Theory
  • Signals and Systems
  • Advanced Engineering Mathematics
  • Random Processes
  • Theory of Probability
  • Multiuser Information Theory


Prof. Nair did his undergraduate studies at the Indian Institute of Technology (IIT), Madras in electrical engineering graduating in 1999. He received the Siemens and Phillips (India) medal for having the best academic record in the department during his undergraduate studies. Concurrently, he also completed the four year nurture programme in Mathematics at the Institute of Mathematical Sciences(IMSc ) under the auspices of the National Board of Higher Mathematics(NBHM).

He received a Masters (2002) and PhD (2005) in electrical engineering from Stanford University. He was a Stanford Graduate Fellow (2000-2004) and then a Microsoft Graduate Fellow (2004-2005) during his graduate studies. Then he became a postdoctoral fellow at prestigious theory group in Microsoft Research for two years. Following this he joined the IE department faculty, CUHK, in Fall 2007.

His current interests are in basic network information theory problems, in particular the broadcast channel. He has previously worked on problems touching many areas including combinatorial optimization, statistical physics, algorithms, and networks. The title of his dissertation was Proofs of the Parisi and Coppersmith-Sorkin conjectures in the random assignment problem.

Selected Publications from the lastest three years

  • An Information Inequality and Evaluation of Marton's Inner Bound for Binary Input Broadcast Channels, [pdf]
    Y. Geng, V. Jog, C. Nair and Z. Wang
      • IEEE Information Theory Society, vol. IT-59, 2013. [doi]
  • The capacity region of the two-receiver vector Gaussian broadcast channel with private and common messages, [pdf
    Y. Geng and C. Nair 
      • Proceedings of the International Symposium on Information Theory, 2012.
      • Full version, arXiv 1202.0097.
  • The capacity region of the three receiver less noisy broadcast channel, [pdf
    C. Nair and Z. Wang 
      • IEEE Transactions on Information Theory, vol. IT-57, no. 7, pp. 4058-4062, July, 2011.
      • Proceedings of the International Symposium on Information Theory, 2010.
  • Capacity regions of two new classes of 2-receiver broadcast channels, [pdf
    C. Nair. 
      • IEEE Transactions on Information Theory, vol. IT-56, pp. 4207-4214, 2010.
      • Proceedings of the International Symposium on Information Theory, pp. 1839-1843, 2009.