Prof. Ram[Ram] Zamir

School of Electrical Engineering
ביה"ס להנדסת חשמל סגל אקדמי בכיר
Prof. Ram[Ram] Zamir
Phone: 03-6406273
Another phone: 03-6408764
Fax: 03-6407095
Office: Electrical Engineering, 135

Rami Zamir - short biography


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, and his book "Asymptotic frame theory for analog coding" was published by NOW publishers.


Information Theory, communication, statistical and musical signal processing

Information theory, digital communications, compression, lattice codes, statistical signal processing and learning, sparse models and frames, random matrix theory.

My research is at the intersection of information theory, communication, learning and signal processing. I wrote a book which aims to give a geometric interpretation - a lattice structure - to codes for multiuser / multiterminal problems, and to simplify such systems using estimation and randomization. Recently I explore the use of frames as a basis for analog coding, and I wrote a book about asymptotic properties of such codes.  I also started to work on the analysis and synthesis of music signals, for their beauty.. 

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