Amit Solomon

About Me


I am a Ph.D. student at the Department of Electrical Engineering and Computer Science at Massachusetts Institute of Technology (MIT). I work with Prof. Muriel Mèdard at the Network Coding and Reliable Communication group in the Research Laboratory of Electronics. My research interests include coding theory, information theory, communication, algorithms, machine learning among others. I received a B.Sc. (cum laude), and an M.Sc. in Electrical Engineering from the Technion-Israel Institute of Technology, in 2015 and 2018, respectively.

Publications

  • Multi-Level Group Testing with Application to One-Shot Pooled COVID-19 Tests. A. Cohen, N. Shlezinger, A. Solomon, Y. C. Eldar, and M, Médard. 2021 IEEE International Conference on Acoustics, Speech and Signal Processing.

  • Noise Recycling. A. Cohen, A. Solomon, K. R. Duffy, M. Médard. 2020 IEEE International Symposium on Information Theory.

  • Neural Network Coding. L. Liu, A. Solomon, S. Salamatian, M. Médard. 2020 IEEE International Conference on Communications.

  • Soft Maximum Likelihood Decoding using GRAND. A. Solomon, K. R. Duffy, M. Médard. 2020 IEEE International Conference on Communications.

  • 5G NR CA-Polar Maximum Likelihood Decoding by GRAND. K. R. Duffy, A. Solomon, K. M. Konwar, M. Médard. 2020 54th Annual Conference on Information Sciences and Systems (CISS), 1-5

  • Error-Correcting WOM Codes for Worst-Case and Random Errors. A. Solomon, Y. Cassuto, 2020. 11th Annual Non-Volatile Memories Workshop.

  • Error-Correcting WOM codes: Concatenation and Joint Design. A. Solomon, Y. Cassuto. IEEE Transactions on Information Theory (2019)

  • Error-Correcting WOM constructions through Concatenation and Join Design. A. Solomon, Y. Cassuto. 2018 IEEE International Symposium on Information Theory.

  • Adaptive Threshold Read Algorithms in Multi-level Non-Volatile Memories with Uncertainty. A. Solomon, Y. Cassuto. 2016 ICSEE International Conference on the Science of Electrical Engineering, IEEE.