activity
20242026
most citedTimeGraph: Synthetic Benchmark Datasets for Robust Time-Series Causal Discovery

4 citations · 8 across the 4 of their papers we have counts for

collaborators

8 papers

cs.CV2026

Why Convolution Still Matters: Evaluating Inductive Biases in Cryospheric Image Classification

Chhaya Kulkarni, Emam Hossain

Recent advances in attention-based deep learning have motivated their adoption for remote sensing image classification; however, their benefits for cryospheric imagery, where surfa…

cs.CV2026

Evaluating Zone-Guided Front Extraction for Glacier Calving-Front Delineation in SAR Imagery

Chhaya Kulkarni, Emam Hossain

Automatic calving-front delineation from synthetic aperture radar imagery is challenging because the front is a thin and often ambiguous boundary between glacier ice, ocean, and su…

cs.LG2026

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…

cs.LG2025

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…

cs.LG2025★ 1 cited

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…

cs.LG2025★ 4 cited

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…

cs.LG2025

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…

cs.LG2024★ 3 cited

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…