eCDANs: Efficient Temporal Causal Discovery from Autocorrelated and Non-stationary Data (Student Abstract). - Muhammad Hasan Ferdous; Uzma Hasan; Md. Osman Gani (AAAI, 2023)

CDANs: Temporal Causal Discovery from Autocorrelated and Non-Stationary Time Series Data. - Muhammad Hasan Ferdous; Uzma Hasan; Md. Osman Gani (MLHC, 2023)

TimeGraph: Synthetic Benchmark Datasets for Robust Time-Series Causal Discovery. - Muhammad Hasan Ferdous; Emam Hossain; Md. Osman Gani (KDD (2), 2025)

Correlation to Causation: A Causal Deep Learning Framework for Arctic Sea Ice Prediction. - Emam Hossain; Muhammad Hasan Ferdous; Jianwu Wang 001; Aneesh Subramanian; Md. Osman Gani (PerCom Workshops, 2025)

Correlation to Causation: A Causal Deep Learning Framework for Arctic Sea Ice Prediction. - Emam Hossain; Muhammad Hasan Ferdous; Jianwu Wang 001; Aneesh C. Subramanian; Md. Osman Gani (CoRR, 2025)

Causal Time Series Modeling of Supraglacial Lake Evolution in Greenland under Distribution Shift. - Emam Hossain; Muhammad Hasan Ferdous; Devon Dunmire; Aneesh C. Subramanian; Md. Osman Gani (CoRR, 2025)