Nima Shahbazi

Nima Shahbazi

Ph.D. Student at The University of Illinois Chicago

About me

I am currently a fourth-year Ph.D. candidate in the Computer Science Department at the University of Illinois Chicago, under the supervision of Dr. Abol Asudeh. Prior to this, I completed my M.Sc. in Computer Science at the University of Texas at Dallas and earned my B.Sc. in Computer Engineering from the University of Isfahan.

My primary research focus revolves around Algorithmic Fairness and Responsible AI with a strong emphasis on data-centric approaches. In this domain, I am dedicated to designing algorithms that are efficient, effective, and scalable throughout the entire data analysis pipeline. I also have experience in various aspects of data management research such as Data Integration, Approximate Query Processing, and Ranking. Last, but not least, I am always eager to explore new and intriguing areas of research.

I am always enthusiastic about the prospect of collaborating with fellow researchers, and I am more than willing to assist with any academic or research-related inquiries. Please don’t hesitate to reach out—I’m here to help!

Experiences

Summer 2023

2020-Present

  • Research Assistant at InDex Lab at the University of Illinois Chicago

Publications

2024

  • Sana Ebrahimi, Nima Shahbazi and Abolfazl Asudeh “REALM: Reliability and Equity through Aggregation in Large Language Models”, in NAACL Findings 2024.

  • Nima Shahbazi, Jin Wang, Zhengjie Miao and Nikita Bhutani. “Fairness-aware Data Preparation for Entity Matching”, in ICDE 2024.

  • Nima Shahbazi, Stavros Sintos and Abolfazl Asudeh. “FairHash: A Fair and Memory/Time-efficient Hash Map” in SIGMOD 2024.

  • Nima Shahbazi and Abolfazl Asudeh. “Reliability Evaluation of Individual Predictions: A Data-centric Approach”, in VLDB Journal.

  • Nima Shahbazi, Mahdi Erfanian and Abolfazl Asudeh “Coverage-based Data-centric Approaches for Responsible and Trustworthy AI”, in IEEE Data Engineering Bulletin March 2024 (Invited paper).

  • Melika Mousavi, Nima Shahbazi and Abolfazl Asudeh “Crowdsourcing Representation Bias Identification in form of Data Coverage in Image Data Sets”, in EDBT 2024.

2023

  • Nima Shahbazi, Nikola Danevski, Fatemeh Nargesian, Abolfazl Asudeh and Divesh Srivastava “Through the Fairness Lens: Experimental Analysis and Evaluation of Entity Matching”, in VLDB 2023

  • Nima Shahbazi, Yin Lin, Abolfazl Asudeh and H.V. Jagadish. 2023 “Representation Bias in Data: A Survey on Identification and Resolution Techniques”, in ACM Computing Surveys (CSUR).

  • Khanh Duy Nguyen, Nima Shahbazi and Abolfazl Asudeh “PopSim: Individual-level Population Simulation for Equitable Allocation of City Resources”. The International Workshop of Algorithmic Fairness in Artificial intelligence, Machine learning and Decision making (AFair-AMLD) 2023.

2021

  • Abolfazl Asudeh, Nima Shahbazi, Zhongjun Jin and H.V. Jagadish. 2021 “Identifying Insufficient Data Coverage for Ordinal Continuous-Valued Attributes”, in Proceedings of The 2021 International Conference on Management of Data (SIGMOD).

  • Hantian Zhang, Nima Shahbazi, Xu Chu and Abolfazl Asudeh. 2021 “FairRover: Explorative Model Building for Fair and Responsible Machine Learning”, in Proceedings of The Fifth International Workshop on Data Management for End-to-End Machine Learning (DEEM).

Professional Services

  • Reviewer for Information Systems Journal
  • External Reviewer for ICDE’23
  • Availability/Reproducibility Reviewer for SIGMOD’23, ‘24