Photo of Asudeh, Abolfazl

Abolfazl Asudeh

Assistant Professor

Department of Computer Science

Pronouns: He/Him/His

Contact

Building & Room:

SEO 1131

Address:

851 S. Morgan St, MC 152, Chicago, IL, 60607

Office Phone:

312.996.4860

About

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.

Sponsors

  • NSF IIS-2348919 (2024 - 2027): III: Small: Fairness-aware Data Structures for Approximate Query Processing. Abolfazl Asudeh, Stavros Sintos, $500K.
  • NSF IIS-2107290 (2021 - 2024):
    III: Medium: Collaborative Research: Fairness in Web Database Applications.
    Abolfazl Asudeh (Lead PI - UIC), H. V. Jagadish (UofM), and Gautam Das and Shirin Nilizadeh (UTA).
    $1M (UIC portion: $300K).
  • Google Research Scholar Award (2021 - 2022):
    An end-to-end system for detecting cherry-picked trendlines.
    Abolfazl Asudeh.
    $60k.

Selected Publications

2025

2024

2023

2022

2021

2020

2019

2018

2017

2016-

Notable Honors

2021, Google Research Scholar Award, Google Research

2021, Communications of the ACM's Research Highlight, ACM

2019, ACM SIGMOD Research Highlight Award, ACM

2020, VLDB Journal Special Issue on Best of VLDB, VLDB

2017, ACM SIGMOD Most Reproducible Paper Award, ACM