Hossain, E., & Gani, M. O. (2025). Learning what matters: Causal time series modeling for Arctic sea ice prediction. Proceedings of the IJCAI 2025 Workshop on AI for Time Series (AI4TS): Theory, Algorithms, and Applications.pdfcode
Ferdous, M. H., Hossain, E., & Gani, M. O. (2025). TimeGraph: Synthetic benchmark datasets for robust time-series causal discovery. Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V. 2 (pp. 5425–5435).pdfcode
Hossain, E., Ferdous, M. H., Wang, J., Subramanian, A., & Gani, M. O. (2025). Correlation to causation: A causal deep learning framework for Arctic sea ice prediction. 2025 IEEE International Conference on Pervasive Computing and Communications Workshops and Other Affiliated Events (PerCom Workshops) (pp. 62–67). IEEE.pdfcode
Dunmire, D., Subramanian, A. C., Hossain, E., Gani, M. O., Banwell, A. F., Younas, H., & Myers, B. (2025). Greenland ice sheet wide supraglacial lake evolution and dynamics: Insights from the 2018 and 2019 melt seasons. Earth and Space Science, 12(2), e2024EA003793.pdfcode
2024
Hossain, E., Gani, M. O., Dunmire, D., Subramanian, A. C., & Younas, H. (2024).Time series classification of supraglacial lakes evolution over Greenland ice sheet. 2024 International Conference on Machine Learning and Applications (ICMLA) (pp. 490–497). IEEE.pdfcode
Hossain, E., Ali, S., Huang, Y., Schlegel, N. J., Wang, J., Subramanian, A. C., & Gani, M. O. (2024). Incorporating causality with deep learning in predicting short-term and seasonal sea ice. 104th AMS Annual Meeting. AMS.pdfcode
Subramanian, A., Dunmire, D., Hossain, E., Gani, M. O., Banwell, A., & Myers, B. (2024).The fate of Greenland Ice Sheet supraglacial lakes in a warm and cool year. EGU General Assembly Conference Abstracts (p. 20925).pdfcode
2023
Hasan, U., Hossain, E., & Gani, M. O. (2023). A survey on causal discovery methods for IID and time series data. Transactions on Machine Learning Research.pdfcode