Prof. Meir Feder

Meir Feder is a Professor at the School of Electrical Engineering, Tel-Aviv University, the incumbent of the Information Theory Chair. An internationally recognized authority in signal processing, communication and information theory, Professor Feder holds Sc.D. degree from the Massachusetts Institute of Technology (MIT) was a visiting Professor in MIT, and had visiting positions at Bell laboratories and Scripps Institute of Oceanography. He is an IEEE Fellow, and received several academic awards including the IEEE Information Theory society best paper award.

During his academic career, Prof. Feder was closely involved in the high-tech industry with numerous companies, including working with Intel on the MMX architecture and designing efficient multimedia algorithms for it. In 1998 he co-founded Peach Networks, a provider of server-based interactive TV system via the cable network, acquired in 2000 by Microsoft. He then co-founded Bandwiz, a provider of massive content delivery systems for enterprise networks. In 2004 he co-founded Amimon, a fab-less ASIC Company, the developer of "Wireless Home Digital Interface" (WHDI™) technology, and an emerging leading provider of ASICs for wireless high-definition A/V connectivity at the home.

Contact Information

Head, School of Electrical Engineering
Tel-Aviv University
EE - Laboratories building, Room 127

• Phone number: +972-3-6408060
• Fax number: +972-3-6408060
• E-mail: meir at eng dot tau dot ac dot il

Current Research Interests:

• Information Theory
• Universal prediction and universal coding
• Topics in multiuser information theory
• Feedback in Communication Theory
• Rateless Codes
• Posterior Matching
• Communication over unknown channels
• Communication over individual channels
• Computationally efficient lattice codes.
• Low Density Lattice Codes.
• Convolutional Lattice Codes (Signal Codes)
• Lattice Codes in Fading MIMO channels

Some Key Publications

• Parameter Estimation of Superimposed Signals Using the EM Algorithm
• Universal Prediction of Individual Sequences
• Universal Prediction
• The Strong Version of the Redundancy-Capacity Theorem for Universal Coding and Statistical Inference
• Universal composite hypothesis testing: a competitive minimax approach
• Static Broadcasting
• Random Coding Techniques for Non-Random Codes
• Low Density Lattice Codes
• Optimal Feedback Communication via Posterior Matching