Moshe Schwartz

Dr. Moshe Schwartz is a Professor in the Department of Electrical & Computer Engineering at McMaster University. His research focuses on error-correcting codes for improving digital communication and storage systems, particularly in storage technologies and their application in distributed systems. He specializes in coding theory, storage systems, and digital sequences, with a focus on resolving conflicts between storage density, reliability, and energy efficiency.

He teaches courses such as 'Introduction to Digital Sequences' and 'Coding Theory,' emphasizing both theoretical foundations and practical applications. His work integrates hardware and software solutions to address challenges in non-volatile memory fragility and data center reliability.

Research interests include:

• Coding theory for DNA storage and bioinformatics applications
• Error-correcting codes for tandem duplication and substitution errors
• Network coding and distributed storage systems
• Algebraic coding and combinatorial optimization

Awards: Won the Best Paper Award at the DRCN Conference (2024) for research on covert communication via error-correcting codes. His work bridges theoretical advancements and real-world applications in storage and communication technologies.

Dr. Schwartz collaborates on interdisciplinary projects involving genomic data integrity and secure network protocols. His lab focuses on advancing storage efficiency through graph-based coding and asymptotic rate optimization.