Jarek Gryz

Professor Jarek Gryz is a faculty member in the Department of Electrical Engineering and Computer Science at York University's Lassonde School of Engineering. He also holds an affiliation with the Department of Philosophy, exploring intersections between AI and cognitive science. His research focuses on database systems, artificial intelligence, data mining, and ethical implications of AI. Gryz has advised multiple PhD graduates and contributes to projects like privacy in AI, explainability challenges, and query optimization. His work spans theoretical foundations and practical implementations, including systems like DB2 and SPARQL query processing.

• Education: Doctorate in Computer Science (not explicitly stated in texts).

Research Interests: Gryz investigates core database technologies (e.g., skyline queries, FP-tree algorithms) alongside emerging areas like AI ethics and privacy. He explores technical challenges in creating moral agents and ensuring transparency in black-box systems. His work bridges computer science with philosophy, addressing societal impacts of AI.

Publications: Recent articles highlight advancements in database efficiency, ethical AI frameworks, and constrained clustering. Key themes include optimizing query performance, analyzing maximal vectors, and developing explainable algorithms.

• Awards: None explicitly mentioned.

Advising & Grants: Gryz has supervised students such as Nima Shahbazi and Nikolay Yakovets, contributing to projects like FP-tree bounds and property path query planning. His research aligns with IBM’s DB2 optimizations and forensic data analysis (e.g., 3D crime scene databases).

Labs/Teams: Engaged with York’s EECS department and interdisciplinary groups exploring AI ethics and cognitive science applications.