Romila Pradhan

Assistant Professor

rpradhan@purdue.edu

765-496-0793

https://romilapradhan.github.io/

KNOY 291

401 N. Grant Street

West Lafayette, Indiana 47907

Dr. Pradhan is an Assistant Professor in the Department of Computer & Information Technology at Purdue University in West Lafayette, Indiana. Her research interests are in the areas of data management and data science. Her research is driven by the need to build trustworthy and responsible decision-making systems. More recently, Dr. Pradhan has been building systems that facilitate explainability, fairness, and accountability of data-driven decision-making systems.

Before joining Purdue CIT, Dr. Pradhan held a Postdoctoral Researcher position in the Halıcıoğlu Data Science Institute at the University of California San Diego, and was a Visiting Assistant Professor in the Department of Computer Science at Purdue University. She has a Ph.D. in Computer Science from Purdue University, and a B.S. and M.S. in Mathematics and Computing from the Indian Institute of Technology (IIT) Kharagpur, India.

Education:

Ph.D., Computer Science, Purdue University, West Lafayette, IN, 2018
M.S., Mathematics and Computing, Indian Institute of Technology (IIT) Kharagpur, India, 2008
B.S., Mathematics and Computing, Indian Institute of Technology (IIT) Kharagpur, India, 2008

NSF CAREER Award (2023)
Google Research Scholar Award (2022)

Romila Pradhan and Tianyi Li, "Human-in-the-Loop Bias Mitigation in Data Science", Human-Centered AI Workshop (HCAI), Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS) 2022.
Romila Pradhan, Jiongli Zhu, Boris Glavic and Babak Salimi, "Interpretable Data-Based Explanations for Fairness Debugging", 2022 ACM International Conference on Management of Data (SIGMOD), 2022.
Jiongli Zhu, Romila Pradhan, Boris Glavic and Babak Salimi, "Generating Interpretable Data-Based Explanations for Fairness Debugging using Gopher", 2022 ACM International Conference on Management of Data (SIGMOD), 2022.
Romila Pradhan, Aditya Lahiri, Sainyam Galhotra and Babak Salimi, "Explainable AI: Foundations, Applications, Opportunities for Data Management Research", 2022 ACM International Conference on Management of Data (SIGMOD), 2022. (Tutorial)
Romila Pradhan, Aditya Lahiri, Sainyam Galhotra and Babak Salimi, "Explainable AI: Foundations, Applications, Opportunities for Data Management Research", 38th IEEE International Conference on Data Engineering (ICDE), 2022. (Tutorial)
Sainyam Galhotra*, Romila Pradhan* and Babak Salimi, "Explaining Black-Box Algorithms Using Probabilistic Contrastive Counterfactuals", 2021 ACM International Conference on Management of Data (SIGMOD), 2021.
Sainyam Galhotra, Romila Pradhan and Babak Salimi, "Feature Attribution and Recourse via Probabilistic Contrastive Counterfactuals", Algorithmic Recourse Workshop, Thirty-eighth International Conference on Machine Learning (ICML), 2021.
Paul Y. Wang, Sainyam Galhotra, Romila Pradhan and Babak Salimi, "Demonstration of Generating Explanations for Black-Box Algorithms Using Lewis", Proceedings of the Very Large Databases (PVLDB) Endowment, 2021.
Romila Pradhan and Sunil Prabhakar, "AuthIntegrate: Toward Combating False Data on the Internet", 1st Workshop on Truth Discovery and Fact Checking: Theory and Practice, 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD), 2019.
Romila Pradhan, "Guided Data Fusion", Purdue University, 2018 (Ph.D. Thesis)
Romila Pradhan, Walid G. Aref and Sunil Prabhakar, "Leveraging Data Relationships to Resolve Conflicts from Disparate Data Sources", 29th International Conference on Database and Expert Systems Applications (DEXA), 2018.
Romila Pradhan, Siarhei Bykau and Sunil Prabhakar, "A Framework to Integrate User Feedback for Rapid Conflict Resolution", 34th IEEE International Conference on Data Engineering (ICDE), 2018. (Demonstration)
Romila Pradhan, Siarhei Bykau and Sunil Prabhakar, "Staging User Feedback toward Rapid Conflict Resolution in Data Fusion", 2017 ACM International Conference on Management of Data (SIGMOD), 2017.