Publications

Citation counts are maintained on Google Scholar.

Peer-Reviewed Publications

  • TimeGraph: Synthetic Benchmark Datasets for Robust Time-Series Causal Discovery
    Muhammad Hasan Ferdous, Emam Hossain, Md Osman Gani
    Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD ’25), pp. 5425–5435, 2025.
    DOI
  • Causal Time Series Modeling of Supraglacial Lake Evolution in Greenland under Distribution Shift
    Emam Hossain, Muhammad Hasan Ferdous, Devon Dunmire, Aneesh Subramanian, Md Osman Gani
    IEEE International Conference on Machine Learning and Applications (ICMLA ’25), 2025.
    arXiv
  • Correlation to Causation: A Causal Deep Learning Framework for Arctic Sea Ice Prediction
    Emam Hossain, Muhammad Hasan Ferdous, Jianwu Wang, Aneesh Subramanian, Md Osman Gani
    IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops ’25), pp. 62–67, 2025.
    DOI
  • CDANs: Temporal Causal Discovery from Autocorrelated and Non-Stationary Time Series Data
    Muhammad Hasan Ferdous, Uzma Hasan, Md Osman Gani
    Proceedings of the 8th Machine Learning for Healthcare Conference (MLHC ’23), pp. 186–207, 2023.
    Code (pip install cdans)
  • eCDANs: Efficient Temporal Causal Discovery from Autocorrelated and Non-Stationary Data (Student Abstract)
    Muhammad Hasan Ferdous, Uzma Hasan, Md Osman Gani
    Proceedings of the AAAI Conference on Artificial Intelligence (AAAI ’23), vol. 37(13), p. 16208, 2023.

Preprints and Manuscripts Under Review

  • PreprintDCD: Decomposition-based Causal Discovery from Autocorrelated and Non-Stationary Temporal Data
    Muhammad Hasan Ferdous, Md Osman Gani
    arXiv:2602.01433, 2026. Under review at Transactions on Machine Learning Research.
    arXiv
  • Under ReviewClassyGlass: A Benchmark Dataset for Activity and Mobility Analysis using Smart Eyewear
    Nazia Mahmud, Nicholas Emmert, Muhammad Hasan Ferdous, et al.
    Submitted to ACM SIGKDD 2026 Dataset Track.

Honors and Awards

  • COEIT Research Day Student Award ($150), UMBC, May 2026. For the poster "G-DCD: Generalized Decomposition-based Causal Discovery for Multivariate Multi-Seasonal Temporal Data".
  • COEIT Summer Student Project Award ($5,000), UMBC, Summer 2025. Competitive award supporting independent student-led research in the College of Engineering and Information Technology.
  • Honorable Mention for Research Poster, COEIT Research Day 2025, UMBC.
  • Travel Award, Machine Learning for Healthcare (MLHC) Conference, New York, 2023.

Professional Service

Reviewer and sub-reviewer for AAAI, IEEE PerCom Workshops, and ACM SIGKDD-affiliated venues.

Presenter at COEIT Research Day (UMBC, 2024 and 2025) and the Information Systems Student Research Symposium (UMBC, 2022).

Selected Presentations

  • “G-DCD: Generalized Decomposition-based Causal Discovery for Multivariate Multi-Seasonal Temporal Data,” COEIT Research Day, UMBC, 2026. (Student Award)
  • “DCD: Decomposition-based Causal Discovery from Autocorrelated and Non-Stationary Temporal Data,” COEIT Research Day, UMBC, 2025.
  • “Attention-based Causal Discovery from Autocorrelated and Non-Stationary Temporal Data,” COEIT Research Day, UMBC, 2024.
  • “eCDANs: Efficient Temporal Causal Discovery from Autocorrelated and Non-Stationary Time Series Data,” AAAI Conference, 2023.
  • “CDANs: Temporal Causal Discovery from Autocorrelated and Non-Stationary Time Series Data,” MLHC 2023, New York; IS Student Research Symposium, UMBC, 2022.