Princeton University

School of Engineering & Applied Science

Sergio Verdú - on leave

Eugene Higgins Professor of Electrical Engineering

Room: B308 Engineering Quadrangle
Phone: 609-258-5315
Webpage: Sergio Verdu Research


  • Ph.D., University of Illinois, Urbana-Champaign, 1984
  • M.Sc., University of Illinois, Urbana-Champaign, 1982

My current research is in the field of information theory, exploring the fundamental limits of data transmission and compression systems. My contributions to information theory include:           

  • Non-asymptotic information theory
  • Information measures
  • The interface between information theory and estimation theory
  • The information spectrum method
  • Secret key generation
  • Communication in the wideband regime
  • Random matrices and information theory
  • Information theory of compressed sensing
  • Capacity of code division multiple access and other multiple-access channels
  • Multiuser detection and its fundamental limits
  • Timing channels and the capacity of the single-server queues
  • Harnessing feedback in communication
  • Data compression with error-correcting codes
  • Generation of random bits from stochastic processes
  • Rate-distortion function of Poisson processes and other continuous-time Markov processes
  • The maximum randomness required to simulate the input to a random system
  • General formulas for minimum compression rate, channel capacity, and rate-distortion
  • Discrete denoising
  • Joint source-channel coding and the validity of the separation principle
  • The empirical distribution of capacity-achieving codes
  • Universal compression and universal estimation of information measures
  • Compression and transmission with missing information
  • Multi-antenna capacity

Honors and Awards

  • National Academy of Sciences (elected 2014)
  • Member, National Academy of Sciences (elected 2014)
  • Corresponding Member, Real Academia de Ingeniería, Spain, (elected 2013)
  • Information Theory Paper Award, IEEE Information Theory Society (1998, 2011)
  • Stephen O. Rice Prize in the Field of Communications Theory, IEEE Communications Society (2009)
  • Journal of Wireless Communications and Networking Best Paper Award, The European Association for Signal Processing (EURASIP) (2004-2007)
  • IEEE Richard W. Hamming Medal (2008)
  • Member, National Academy of Engineering (elected 2007)
  • Claude E. Shannon Award, IEEE Information Theory Society (2007)
  • Joint Paper Award, IEEE Communications/Information Theory Societies (2006)
  • Doctor Honoris Causa, Polytechnic University of Catalonia, Barcelona, Spain (2005)
  • Leonard G. Abraham Prize Award, IEEE Communications Society (2002)
  • Frederick Emmons Terman Award, American Society of Engineering Education (2000)
  • IEEE Information Theory Golden Jubilee Paper Award (1998)

Selected Publications

  1. I. Sason and S. Verdú, f-Divergence inequalities,” IEEE Trans. on Information Theory, vol. 62, no. 11,  pp. 5973--6006, Nov. 2016

  2.  I. Kontoyiannis and S. Verdú, "Optimal Lossless Data Compression:

    Non-Asymptotics and Asymptotics,” IEEE Trans. Information Theory, vol. 60, no. 2, pp. 777--795, Feb. 2014 

  3. V. Kostina and S. Verdú, "Fixed-Length Lossy Compression in the Finite Blocklength Regime,"

    IEEE Trans. on Information Theory, vol. 58, no. 6, pp. 3309-3338, June 2012

  4.  S. Verdú, "Mismatched Estimation and Relative Entropy," IEEE Trans. Information Theory, vol. 56, no. 8, pp. 3712--3720, August 2010.

  5.  Y. Wu and S. Verdú, "Renyi Information Dimension: Fundamental Limits of Almost Lossless Analog Compression," IEEE Trans. Information Theory, vol. 56, no. 8, pp. 3721--3747, August 2010.

  6.  S. Verdú and S. Shamai, "Variable-rate Channel Capacity," IEEE Trans. Information Theory, vol. 56, no. 6, pp. 2651--2667, June 2010.

  7.  Y. Polyanskiy, H. Vincent Poor and S. Verdú, "Channel Coding Rate in the Finite Blocklength Regime," IEEE Trans. Information Theory, vol. 56, no. 5, pp. 2307--2359, May 2010.

  8.  D. Guo, S. Shamai, and S. Verdú "Mutual Information and Minimum Mean-Square Error in Gaussian Channels," IEEE Trans. Information Theory, vol. 51, no. 4, pp. 1261-1283, Apr. 2005.

  9.  T. Weissman, E. Ordentlich, G. Seroussi, S. Verdú and M. Weinberger, "Universal Discrete Denoising: Known Channel," IEEE Trans. Information Theory, vol. 51, no. 1, pp. 5-28, Jan. 2005.

  10.  A. M. Tulino and S. Verdú, "Random Matrices and Wireless Communications,'' Foundations and Trends in Communications and Information Theory, vol. 1, no. 1, June 2004.

  11.  S. Verdú, "Spectral Efficiency in the Wideband Regime,'' (Invited Paper) IEEE Trans. Information Theory, Special Issue on Shannon Theory: Perspective, Trends and Applications, vol. 48, no. 6, pp. 1319-1343 , June 2002.

  12.  S. Verdú and S. Shamai, "Spectral Efficiency of CDMA with Random Spreading," IEEE Trans. Information Theory, vol 45, no. 2, pp. 622-640, Mar. 1999.

  13.  S. Verdú, Multiuser Detection, Cambridge University Press, New York: 1998.

  14.  V. Anantharam and S. Verdú, "Bits through Queues,"IEEE Trans. on Information Theory, vol. 42, no. 1, pp. 4-18, Jan. 1996.

  15.  S. Verdú, T. S. Han, "A General Formula for Channel Capacity," IEEE Trans. on Information Theory, vol. 40, no. 4, pp. 1147-1157, July 1994.

  16.  T. S. Han, S. Verdú, "Approximation Theory of Output Statistics," IEEE Trans. on Information Theory, vol. IT-39, no. 3, pp. 752-772, May 1993.

  17.  S. Verdú, "On Channel Capacity per Unit Cost,"IEEE Trans. Information Theory, vol. IT-36, no. 5, pp. 1019-1030, Sep. 1990.

  18.  S. Verdú, "Minimum Probability of Error for Asychronous Gaussian Multiple Access Channels,"IEEE Trans. Information Theory, vol. IT-32, no. 1, p. 85-96, Jan. 1986.