Coding Theory for Secure, Reliable, and Communication Efficient Distributed Data Operations
Dr. Stanislav Kruglik
Abstract: The rapid advancement of autonomous systems and artificial intelligence has led to an unprecedented increase in data generation, necessitating efficient storage, processing, and retrieval across distributed and resource-constrained environments. These emerging paradigms introduce critical challenges related to privacy, reliability, and communication efficiency. In this talk, I will present my recent contributions to coding theory that address these challenges through novel approaches in distributed data storage, coded computation, and private information retrieval. Specifically, I will discuss techniques that enable verification of retrieved files’ correctness without relying on cryptographic assumptions. Additionally, I will outline future research directions that integrate information and coding theory with distributed systems.
Bio: Stanislav Kruglik holds BSc and MSc degrees in applied mathematics and physics with honours from the Moscow Institute of Physics and Technology, as well as a parallel MSc degree in data science with honours from the Skolkovo Institute of Science and Technology. In February 2022, he earned a PhD in the theoretical foundations of computer science from the Moscow Institute of Physics and Technology. In April 2022, he joined the School of Physical and Mathematical Sciences at Nanyang Technological University as a research fellow. His research focuses on coding theory and its applications in distributed data storage, processing, and retrieval, with an emphasis on privacy, reliability, and communication efficiency in modern systems. He is an IEEE Senior Member and a recipient of the Simons Foundation Scholarship, Potanin Foundation Scholarship, and Digital Future Fellowship. Dr. Kruglik serves as an associate editor for IACR Communications in Cryptology and Elsevier’s Blockchain: Research and Applications.
DATE: April 28, Monday @ 13:30 Place: EA 409