Innovative Data Exploration Laboratory (InDeX Lab) is an academic research group directed by Dr. Abolfazl Asudeh, at the Computer Science department of the University of Illinois at Chicago. At InDeX Lab, we study different aspects of Big Data and Data Science, including data management, data analytics, and data mining, for which we aim to find efficient, accurate, and scalable algorithmic solutions.

  • 2021:
    Communications of the ACM featured our work on "Signal Reconstruction at Scale" as its Research Highlight in February 2021, 64.2: 106-115.
    ACM SIGMOD Blog, a high-profile blog that showcases prominent research on data technology trends, featured our blog post "Enabling Responsible Data Science in Practice", Jan. 2021.
  • 2020:
    In collaboration with the DBGroup@UM and DBXLAB@UTA, InDeXLab published 5 papers at VLBD 2020 (three full reseach papers, one tutorial, and one demo), 1 demo paper at SIGMOD 2020, and 1 invited paper at VLBDJ (Special Issue on Best of VLDB'18).
  • 2019:
    We published 3 papers at SIGMOD 2019 (two full reseach papers and one demo), 2 papers at VLDB 2019 (one full research paper and one demo), 1 full research paper at ICDE 2019, 1 at PAKDD 2019, 1 demo paper at CIKM 2019, and 1 invited paper at Data Engineering Bulletin.
    We received the ACM SIGMOD Research Highlight Award 2019.
  • Congratulations to Matteo Corain on his ICDE 2021 paper, “DBSCOUT: A density-based method for scalable outlier detection in very large datasets”. This paper is the outcome of his joint MS thesis with Politecnico di Torino (Italy), co-adviced by Dr. Paolo Garza.
Open Positions
We always look for passionate students to join the team. If you are interested, click here to see more details.