2016 - IEEE Richard W. Hamming Medal “For contributions to network multi-user information theory and for wide ranging impact on programmable circuit architectures.”
2013 - Member of the National Academy of Engineering For contributions in information theory, information technology, and image sensors.
2012 - IEEE Claude E. Shannon Award
2000 - IEEE Fellow For pioneering application of probability and statistics to develop new methods for the analysis and design of integrated circuits.
His primary areas of investigation include Electronic engineering, CMOS, Image sensor, Pixel and Computer hardware. He has included themes like Transistor, Node and Light detector in his Electronic engineering study. The various areas that Abbas El Gamal examines in his CMOS study include Photodetector, Dark current, Embedded system and Static random-access memory.
The concepts of his Image sensor study are interwoven with issues in Electronic filter, Photodiode, Core, Distortion and Bitstream. His Pixel research is multidisciplinary, incorporating elements of Image resolution, Aperture, Image sensor format and Lens. His work in Real-time computing addresses issues such as Wireless, which are connected to fields such as Information theory.
Abbas El Gamal spends much of his time researching Electronic engineering, Image sensor, Communication channel, Decoding methods and Topology. His Electronic engineering research incorporates themes from Electronic circuit, Electrical engineering and Node. His Image sensor study combines topics in areas such as Pixel, Dynamic range and CMOS.
His study in Communication channel is interdisciplinary in nature, drawing from both Computer network and Key. The study incorporates disciplines such as Interference, Noise, Theoretical computer science and Coding in addition to Decoding methods. His biological study spans a wide range of topics, including Network information theory, Fano's inequality and Linear network coding.
Random variable, Discrete mathematics, Communication channel, Upper and lower bounds and Mutual information are his primary areas of study. His Random variable study integrates concerns from other disciplines, such as Encoder, Coding, Combinatorics and Source code. He focuses mostly in the field of Coding, narrowing it down to topics relating to Markov process and, in certain cases, Theoretical computer science, Hamming bound, Error exponent and Probability of error.
His Communication channel research is multidisciplinary, relying on both Noise, Decoding methods, Node, Secure communication and Topology. His Upper and lower bounds study combines topics in areas such as Relay channel, Load following power plant, Smart meter, Telecommunications network and Randomness. His studies deal with areas such as Speech recognition, Encoding and Superposition coding as well as Almost surely.
The scientist’s investigation covers issues in Decoding methods, Random variable, Communication channel, Discrete mathematics and Topology. Decoding methods connects with themes related to Theoretical computer science in his study. His Theoretical computer science study combines topics from a wide range of disciplines, such as Coding and Markov process.
His Random variable study frequently draws parallels with other fields, such as Combinatorics. His research in Communication channel focuses on subjects like Noise, which are connected to Interference, Code, Node, Linear network coding and Topology. Many of his research projects under Topology are closely connected to Electronic mail with Electronic mail, tying the diverse disciplines of science together.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Capacity theorems for the relay channel
T. Cover;A.E. Gamal.
IEEE Transactions on Information Theory (1979)
Network Information Theory
Abbas El Gamal;Young-Han Kim.
CMOS image sensors
A. El Gamal;H. Eltoukhy.
IEEE Circuits & Devices (2005)
Throughput-delay trade-off in wireless networks
A.El. Gamal;J. Mammen;B. Prabhakar;D. Shah.
international conference on computer communications (2004)
Achievable rates for multiple descriptions
A.E. Gamal;T. Cover.
IEEE Transactions on Information Theory (1982)
Miniaturized integration of a fluorescence microscope
Kunal K Ghosh;Laurie D Burns;Eric D Cocker;Axel Nimmerjahn.
Nature Methods (2011)
Long-term dynamics of CA1 hippocampal place codes
Yaniv Ziv;Laurie D Burns;Eric D Cocker;Elizabeth O Hamel.
Nature Neuroscience (2013)
Energy-efficient packet transmission over a wireless link
Elif Uysal-Biyikoglu;Balaji Prabhakar;Abbas El Gamal.
IEEE ACM Transactions on Networking (2002)
Analysis of temporal noise in CMOS photodiode active pixel sensor
Hui Tian;B. Fowler;A.E. Gamal.
IEEE Journal of Solid-state Circuits (2001)
A 10000 frames/s CMOS digital pixel sensor
S. Kleinfelder;SukHwan Lim;Xinqiao Liu;A. El Gamal.
IEEE Journal of Solid-state Circuits (2001)
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