4 citations · 8 across the 4 of their papers we have counts for
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Supraglacial Lake Fate Is Knowable Long Before the Season Ends
Emam Hossain, Md Osman Gani
A supraglacial lake on the Greenland Ice Sheet ends its melt season in one of four ways: it drains rapidly through a hydrofracture, drains slowly across the surface, refreezes in p…
Causal Time Series Modeling of Supraglacial Lake Evolution in Greenland under Distribution Shift
Emam Hossain, Muhammad Hasan Ferdous, Devon Dunmire +2
Causal modeling offers a principled foundation for uncovering stable, invariant relationships in time-series data, thereby improving robustness and generalization under distributio…
Learning What Matters: Causal Time Series Modeling for Arctic Sea Ice Prediction
Emam Hossain, Md Osman Gani
Conventional machine learning and deep learning models typically rely on correlation-based learning, which often fails to distinguish genuine causal relationships from spurious ass…
TimeGraph: Synthetic Benchmark Datasets for Robust Time-Series Causal Discovery
Muhammad Hasan Ferdous, Emam Hossain, Md Osman Gani
Robust causal discovery in time series datasets depends on reliable benchmark datasets with known ground-truth causal relationships. However, such datasets remain scarce, and exist…
Correlation to Causation: A Causal Deep Learning Framework for Arctic Sea Ice Prediction
Emam Hossain, Muhammad Hasan Ferdous, Jianwu Wang +2
Traditional machine learning and deep learning techniques rely on correlation-based learning, often failing to distinguish spurious associations from true causal relationships, whi…
Time Series Classification of Supraglacial Lakes Evolution over Greenland Ice Sheet
Emam Hossain, Md Osman Gani, Devon Dunmire +2
The Greenland Ice Sheet (GrIS) has emerged as a significant contributor to global sea level rise, primarily due to increased meltwater runoff. Supraglacial lakes, which form on the…