Prof. Ram Zamir

Phone: 03-6406273

Another phone: 03-6408764

Fax: 03-6407095

Office: Electrical Engineering, 135

Ram Zamir was born in Ramat-Gan, Israel in 1961. He received his B.Sc., M.Sc. (summa cum laude) and D.Sc. (with distinction)
degrees from Tel-Aviv University, Israel, in 1983, 1991, and 1994, respectively, all in electrical engineering. In the years 1994 - 1996 he
spent a post-doctoral period at Cornell University, Ithaca, NY, and at the University of California, Santa Barbara. In 2002 he spent a Sabbatical year at MIT, and in 2008 and 2009 short Sabbaticals at ETH and MIT. Since 1996 he has been with the department of
Elect. Eng. - Systems at Tel Aviv University.

Ram Zamir has been consulting in the areas of radar and communications (DSL and WiFi), where he was involved with companies like Orckit and Actelis. During the period 2005-2014 he was the Chief Scientist of Celeno Communications. He has been teaching information theory, data compression, random processes, communications systems and communications circuits at Tel Aviv University.
He is an IEEE fellow since 2010. He served as an Associate Editor for Source Coding in the IEEE transactions on Information Theory (2001-2003), headed the Information Theory Chapter of the Israeli IEEE society (2000-2005), was a member of the BOG of the society
(2013-2015), and organized the information theory workshop ITW 2015 in Jerusalem. His research interests include information theory (in particular: lattice codes for multi-terminal problems), source coding, communications and statistical signal processing. His book "Lattice coding for signals and networks" was published in Cambridge University Press in 2014.

Experience

2020 - ...... Head fo School: electrical Engineering, Tel Aviv University

1996 - ...... Member of the Staff, Tel Aviv University

research on information theory, source coding, communication and bounds on statistical signal processing

teaching information theory, digital communications.

2002-2003 Visiting Researcher (Sabbatical), Massachusetts Institute of Technology:

Dirty-paper coding, rate-distortion for networks.

1995 - 1996 Visiting Researcher, University of California at Santa Barbara My activity included research on:

universal lossy compression, joint source/channel co= ding

applications of rate-distortion theory in speech and= video compression.

1994 - 1995 Research Associate, Cornell University.

research in multi-user and universal source coding

lectures in information theory and spread-spectrum.

1989 - 1994 Research and teaching assistant, Tel-Aviv University.

1989 - .... Consultant. Main areas:

advanced digital communication

radar systems

data compression algorithms.

1984 - 1989 Technical officer and researcher, Israeli Air Force

Teaching

Information Theory 1 (graduate level): information measures; entropy and the lossless source coding theorem; capacity and the channel coding theorem; extension to continues signals and channels; rate-distortion function and the lossy source coding theorem; advance topics (multi-terminal systems, universal coding).

Digital Transmission of Signals (under-graduate level): PCM, DPCM and vector quantization; equalization and maximum likelihood sequence estimation; adaptive filtering methods in communication.

Information Theory 2 (graduate level): network information theory (separate encoding of correlated sources, multi access channels, broadcast channels, coding with side information, multiple descriptions, successive refinement, and more); the method of types (error exponents, universal compression, mismatch encoding, large deviation); information theoretic inequalities; complexity measures for sequences. (more.)

Data and Signal Compression (graduate level): lossless source coding; universal source coding; Source optimized quantization (scalar and vector), high resolution analysis, lattice quantization and entropy coding, Shannon theory for lossy compression, the "water filling" principle and tranform coding, predictive coding; speech, picture and video compression algorithms, joint source/channel coding, compression for lossy packet networks.

Projects and Bibliography (1999/2000)

Random Signals and Noise (under-graduate level): PART I - Random variables and vectors. PART II - Generation of a random process, Joint statistics, Auto-correlation, Gaussian process, Stationarity, WSS, Auto-regressive process, Asymptotic Stationarity, Poisson and Wiener Processes, empirical statisitics and LLN, Markov chains, Ergodicity, Power spectrum; Random signals and linear time-invariant systems; Linear mean-square estimation of a noisy process (Wiener Filter); other estimation / filtering criteria.

Education

Dec. 1994 Ph.D. in Electrical Engineering Tel-Aviv University, Department of Electrical Engineering-Systems.

Advisor: Prof Meir Feder.

Research topics:

· Entropy Coded Dithered Quantization for Universal Coding of Signals.

· Information Theoretic Inequalities.

Jan. 1991 M.Sc. in Electrical Engineering Tel-Aviv University. Thesis topic: Randomized Uniform (Lattice) Quantization for Universal Coding with Distortion. Advisor: Prof. Meir Feder.

June 1983 B.Sc. in Electrical Engineering Tel-Aviv University.