UIC Database Group's Webpage
Welcome to the UIC Database Group. We host the source code for most of our research projects at https://github.com/IITDBGroup
News
Congrats to Pengyuan for receiving the EDBT 2026 best paper award!
DBGroup Ph.D. student Chenjie Li has passed his preliminary exam.
We got a paper accepted at PVLDB on repairing queries to fulfill constraints expressed as aggregations over the results of a query. Such constraints are powerful enough to express common fairness metrics and other types of constraints users may want to enforce for their queries.
In this course we will look under the hood of database systems and learn about the algorithms, systems design, and implementation techniques that are used to build database systems.
We got a paper accepted at PVLDB on stress-testing ML pipelines with adversarial data corruption.
Stavros's Ph.D. student Aryan got a paper accepted at PODS 2025.
Pengyuan got a paper accepted EDBT 2026 on incremental maintenance of provenance sketches under updates.
Chenjie got a paper accepted at KDD 2025 on repairining labeling functions in programmatic weak supervision using small amounts of labeled examples.
Semirings in Databases, Automata, and Logic
DBGroup Ph.D. student Pengyuan Li has passed his preliminary exam.
We got a paper accepted at SIGMOD 2025 on improving the performance of model search for transfer learning.
Are you interested in data science / databases and are passionate about research? Consider joining our group.
We got a paper about learning from uncertain data accepted at NeurIPS 2024 and a paper on using approximate query processing for approximating bag probabilistic queries accepted at SIGMOD 2025.
Learn how to build explainable, trust-worthy, secure, transparent, and fair systems for data analysis and machine learning.
Prof. Glavic will be joining University of Illinois, Chicago in January 2024.
Boris presents our group's work on uncertain data management at Berkeley
Congrats to Su for graduating! Su will continue to work with our group as a PostDoc.
Boris discusses why uncertainty is unavoidable in data analysis and gives an overview of our work on uncertain data management.
