Abolfazl Asudeh

A. Asudeh is an assistant professor of Computer Science at the University of Illinois Chicago and the director of Innovative Data Exploration Laboratory (InDeX Lab). He serves as an Associate Editor for the IEEE Transactions on Knowledge and Data Engineering (TKDE) and is a regular PC member of Data Management flagship venues. He is a VLDB Ambassador, the VLDB Endowment's Liaison to NSF, and a senior member of ACM and IEEE.
His research encompasses various aspects of Data problems, for which he develops efficient, accurate, and scalable solutions by leveraging Approximation and Randomized Algorithms, and Computational Geometry. His research is supported by two NSF-IIS grants and a Google Research Scholar Award.
Algorithmic Fairness and Data-centric Responsible AI are his major focus in research. His research interests also include Ranking algorithms and indices, LLMs and Foundation Models, Social Networks, Machine Learning, and Misinformation Detection.
His research has received awards and recognitions, including the Communications of the ACM's Research Highlight Award, SIGMOD 2019 Research Highlight, and SIGMOD 2017 Reproducibility Award, and “Best of VLDB” -- the special issue of VLDBJ,.