معرفی
Abolfazl Asudeh is an Associate Professor in the Department of Computer Science at the University of Illinois Chicago and director of the Innovative Data Exploration Laboratory (InDeX Lab). He is a Senior Member of ACM and IEEE, serving as Associate Editor for IEEE Transactions on Knowledge and Data Engineering, VLDB Ambassador, and VLDB Endowment Liaison to NSF.
His research focuses on Algorithm Design for Data and AI problems, emphasizing efficient, accurate, and responsible solutions through Approximation Algorithms, Randomized Methods, and Computational Geometry. Recent work explores LLM optimization (Needle), fair data structures (FairHash), and responsible AI frameworks (Chameleon).
Scientific awards include
- Communications of the ACM Research Highlight
- Google Research Scholar Award
- SIGMOD 2019 Research Highlight
- Best of VLDB 2020
- SIGMOD 2017 Reproducibility Award
- NSF IIS-2348919 (2024-2027): Fairness-aware Data Structures
- NSF IIS-2107290 (2021-2024): Collaborative Fairness Research
The InDeX Lab develops systems like Needle (image retrieval) and RSR (matrix multiplication). His work integrates fairness, reliability, and computational efficiency across data structures, LLMs, and responsible AI implementations.
