Dr. Moshe Schwartz – Faculty of Engineering
Moshe Schwartz

Dr. Moshe Schwartz

Expertise

Coding theory, storage systems, digital sequences

Areas of Specialization

Research Clusters

  • Professor

    Electrical & Computer Engineering

Overview

My research focuses on improving digital communication and storage systems by using error-correcting codes. In particular, I am interested in storage technologies, both at the physical layer and at the application layer. The ever increasing demand for storage that is faster, denser, more reliable, ubiquitous, and eco-friendly, pushes us to expand the boundaries of storage technologies. The different demands are often conflicting. At the physical layer, denser non-volatile memories are more fragile and less reliable. At the application layer, large data centers are required to service data queries quickly from vast distributed arrays of disks, but that makes failing disks the norm rather than the exception. The research I am leading aims to find better solutions to satisfy these conflicting demands by introducing advanced coding-theoretic techniques to storage and communication technologies, while considering hardware as well as software solutions.

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Prof. Schwartz received the B.A. (summa cum laude), M.Sc., and Ph.D. degrees from the Technion – Israel Institute of Technology, Haifa, Israel, in 1997, 1998, and 2004 respectively, all from the Computer Science Department. He was a Fulbright post-doctoral researcher in the Department of Electrical and Computer Engineering at UCSD, and a post-doctoral researcher in the Department of Electrical Engineering at Caltech. In 2007 he joined the School of Electrical and Computer Engineering at Ben-Gurion University of the Negev in Israel, and in 2023 he joined the Department of Electrical and Computer Engineering at McMaster University. While on sabbatical 2012-2014, he was a visiting scientist at MIT. Prof. Schwartz received the 2009 IEEE Communications Society Best Paper Award in Signal Processing and Coding for Data Storage, and the 2020 NVMW Persistent Impact Prize. He served as an Associate Editor for Coding Techniques and coding theory for the IEEE Transactions on Information Theory during 2014-2021, and since 2021 he has been serving as an Area Editor for Coding and Decoding for the IEEE Transactions on Information Theory. He is also an Editorial Board Member for the Journal of Combinatorial Theory Series A since 2021.

  • B.A. in Computer Science – Technion – Israel Institute of Technology
  • M.Sc. in Computer Science – Technion – Israel Institute of Technology
  • Ph.D. in Computer Science – Technion – Israel Institute of Technology
  • The 2009 IEEE Communications Society Best Paper Award in Signal Processing and Coding for Data Storage
  • The 2020 NVMW Persistent Impact Prize

Dor Elimelech, Marcelo Firer, and Moshe Schwartz, The generalized covering radii of linear codes, IEEE Trans. on Inform. Theory, 67(12), pp. 8070-8085, December 2021.

Han Cai, Ying Miao, Moshe Schwartz, and Xiaohu Tang, On optimal locally repairable codes with super-linear length, IEEE Trans. on Inform. Theory, 66(8), pp. 4853-4868, August 2020. Siddharth Jain, Farzad Farnoud (Hassanzadeh), Moshe Schwartz, and Jehoshua Bruck, Duplication-correcting codes for data storage in the DNA of living organisms, IEEE Trans. on Inform. Theory, 63(8), pp. 4996-5010, August 2017.

Ohad Elishco, Tom Meyerovitch, and Moshe Schwartz, Semiconstrained systems, IEEE Trans. on Inform. Theory, 62(4), pp. 1688-1702, April 2016. Moshe Schwartz, Quasi-cross lattice tilings with applications to flash memory, IEEE Trans. on Inform. Theory, 58(4), pp. 2397-2405, April 2012.

Yuval Cassuto, Moshe Schwartz, Vasken Bohossian, and Jehoshua Bruck, Codes for asymmetric limited-magnitude errors with applications to multilevel flash memories, IEEE Trans. on Inform. Theory, 56(4), pp. 1582-1595, April 2010.

Anxiao (Andrew) Jiang, Robert Mateescu, Moshe Schwartz, and Jehoshua Bruck, Rank modulation for flash memories, IEEE Trans. on Inform. Theory, 55(6), pp. 2659-2673, June 2009. Moshe Schwartz and Jehoshua Bruck, Constrained codes as networks of relations, IEEE Trans. on Inform. Theory, 54(5), pp. 2179-2195, May 2008.

Moshe Schwartz and Alexander Vardy, On the stopping distance and the stopping redundancy of codes, IEEE Trans. on Inform. Theory, 52(3), pp. 922-932, March 2006.

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