Muhammad Hasan Ferdous

According to our database, Muhammad Hasan Ferdous authored at least 8 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

DCD: Decomposition-based Causal Discovery from Autocorrelated and Non-Stationary Temporal Data.

Muhammad Hasan Ferdous, Md. Osman Gani

CoRR, February, 2026

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, October, 2025

Correlation to Causation: A Causal Deep Learning Framework for Arctic Sea Ice Prediction.

Emam Hossain, Muhammad Hasan Ferdous, Jianwu Wang, Aneesh C. Subramanian, Md. Osman Gani

CoRR, March, 2025

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

Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2025

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, V.2, 2025

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

Proceedings of the International Conference on Machine Learning and Applications, 2025

2023

CDANs: Temporal Causal Discovery from Autocorrelated and Non-Stationary Time Series Data.

Muhammad Hasan Ferdous, Uzma Hasan, Md. Osman Gani

Proceedings of the Machine Learning for Healthcare Conference, 2023

eCDANs: Efficient Temporal Causal Discovery from Autocorrelated and Non-stationary Data (Student Abstract).

Muhammad Hasan Ferdous, Uzma Hasan, Md. Osman Gani

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023