معرفی
Abolfazl Asudeh is an Associate Professor at the University of Illinois Chicago, affiliated with the Department of Computer Science and director of the Innovative Data Exploration Laboratory (InDeX Lab). His work bridges data management, fairness, and AI.
- ACM and IEEE Senior Member
- VLDB Ambassador
- VLDB Endowment’s NSF Liaison
- Associate Editor for IEEE TKDE
Research Interests focus on Algorithmic Fairness and Data-centric Responsible AI, with applications to ranking systems, LLMs, social networks, and misinformation detection. His work leverages Approximation Algorithms, Computational Geometry, and Randomized Methods to build efficient, fair systems.
Scientific Awards:
- 2021: Google Research Scholar Award
- 2021: Communications of the ACM Research Highlight
- 2019: ACM SIGMOD Research Highlight
- 2020: VLDB Journal Special Issue on Best of VLDB
- 2017: ACM SIGMOD Most Reproducible Paper
Grants include NSF IIS-2348919 (2024-2027) for fairness-aware data structures and NSF IIS-2107290 (2021-2024) for collaborative fairness research.
Labs & Collaborations: Leads InDeX Lab with interdisciplinary teams, collaborating with institutions like University of Michigan, University of Texas at Arlington, and industry partners including Google and ACM.
