Sourav Medya

Assistant Professor, Department of Computer Science, University of Illinois Chicago

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Email: medya at uic dot edu

My research focuses on problems at the intersection of graphs, machine learning, and data science, with an emphasis on bias, fairness, and interpretability. I also build machine learning techniques with applications in healthcare, infrastructure, and computational social science.

Before joining UIC, I was a research assistant professor in the Kellogg School of Management at Northwestern University and the Northwestern Institute on Complex Systems. I received my Ph.D. in Computer Science from the University of California, Santa Barbara, and my Master of Engineering degree from the Department of Computer Science and Automation at the Indian Institute of Science, Bangalore.

For the full publication list, see Research.

selected publications

  1. ICLR
    Learning Exposure Mapping Functions for Inferring Heterogeneous Peer Effects
    Shishir Adhikari, Sourav Medya, and Elena Zheleva
    In International Conference on Learning Representations, 2026
    Link
  2. AAAI
    SMART: A Surrogate Model for Predicting Application Runtime in Dragonfly Systems
    Xin Wang, Pietro Lodi Rizzini, Sourav Medya, and Zhiling Lan
    In AAAI Conference on Artificial Intelligence, 2026
    Link
  3. EMNLP Findings
    DesignCLIP: Multimodal Learning with CLIP for Design Patent Understanding
    Zhu Wang, Homaira Huda Shomee, Sathya N. Ravi, and Sourav Medya
    In Empirical Methods in Natural Language Processing, 2025
    Link
  4. ICML
    COMRECGC: Global Graph Counterfactual Explainer through Common Recourse
    Gregoire Fournier and Sourav Medya
    In International Conference on Machine Learning, 2025
    Link
  5. ACL
    Temporal Relation Extraction in Clinical Texts: A Span-based Graph Transformer Approach
    Rochana Chaturvedi, Peyman Baghershahi, Sourav Medya, and Barbara Di Eugenio
    In The 63rd Annual Meeting of the Association for Computational Linguistics, 2025
    Link
  6. ICLR
    BANGS: Game-theoretic Node Selection for Graph Self-Training
    Fangxin Wang, Kay Liu, Sourav Medya, and Philip S. Yu
    In International Conference on Learning Representations, 2025
    Link