Boris Glavic

Boris Glavic is a Professor at Illinois Institute of Technology, Chicago, specializing in database systems with a strong research focus on data provenance, uncertain data management, and database optimization techniques. His work bridges theoretical database concepts with practical applications in data cleaning, debugging, and ML integration.

Glavic's research primarily centers on data provenance, where he has developed innovative techniques for tracking data lineage, optimizing provenance computations, and applying provenance to various database tasks. His work spans theoretical foundations of provenance in database query languages to practical systems like GProM (a 'Swiss Army Knife' for provenance needs) and applications in data debugging, uncertain data management, and ML pipeline robustness. Key contributions include provenance-based data skipping, reenactment techniques for transaction debugging, and frameworks for explaining query answers and non-answers.

Analysis of Glavic's recent publications reveals a clear evolution from foundational provenance research toward integration with machine learning systems and addressing data quality challenges. His work increasingly focuses on practical applications where provenance techniques enhance data reliability in ML pipelines, improve debugging of complex data workflows, and enable efficient handling of uncertain and incomplete data. The publications demonstrate strong interdisciplinary connections between database theory, data management systems, and machine learning.

While specific awards aren't documented in the provided information, Glavic's extensive publication record in top-tier venues (VLDB, SIGMOD, ICDE) over more than a decade demonstrates significant recognition within the database research community. His work has clearly influenced both theoretical and practical aspects of data management systems.

Glavic has mentored numerous researchers who have become frequent collaborators, including Seokki Lee, Xing Niu, Su Feng, and Pengyuan Li. His research has been supported by grants enabling substantial contributions to data provenance, database debugging, and uncertain data management. The collaborative nature of his work is evident through extensive co-authorship networks spanning multiple institutions and research groups.

Though specific lab affiliations aren't detailed in the provided information, Glavic's research appears to be conducted within a vibrant database research group at Illinois Institute of Technology, with strong connections to other leading database research centers. His work on systems like GProM suggests an active research laboratory focused on practical database tools and techniques.