Publications

2025

  1. Emam Hossain, Muhammad Hasan Ferdous, Devon Dunmire, Aneesh Subramanian, and Md Osman Gani (2025). Causal time series modeling of supraglacial lake evolution in Greenland under distribution shift. 2025 International Conference on Machine Learning and Applications (ICMLA).pdfcode
  2. Devon Dunmire, Aneesh C Subramanian, Emam Hossain, Md Osman Gani, Alison F Banwell, Hammad Younas, and Brendan Myers (2025). Greenland ice sheet wide supraglacial lake evolution and dynamics: Insights from the 2018 and 2019 melt seasons. Earth and Space Science.pdfcode
  3. Riddhiman Adib, Md Osman Gani, Sheikh Iqbal Ahamed, and Mohammad Adibuzzaman (2025). Causal discovery on the effect of antipsychotic drugs on delirium patients in the ICU using large observational EHR dataset. Accepted at the IEEE Annual International Computer Software and Applications Conference (COMPSAC); arXiv preprint arXiv:2205.01057.pdfcode
  4. Riddhiman Adib, Md Mobasshir Arshed Naved, Chih-Hao Fang, Md Osman Gani, Ananth Grama, Paul Griffin, Uzma Hasan, Sheikh Iqbal Ahamed, and Mohammad Adibuzzaman (2025). CKH: Causal knowledge hierarchy for estimating structural causal models from data and priors. Accepted at the IEEE Annual International Computer Software and Applications Conference (COMPSAC); arXiv preprint arXiv:2204.13775.pdfcode
  5. Muhammad Hasan Ferdous, Emam Hossain, and Md Osman Gani (2025). TimeGraph: Synthetic benchmark datasets for robust time-series causal discovery. Accepted at the ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD); arXiv preprint arXiv:2506.01361.pdfcode
  6. Emam Hossain, Muhammad Hasan Ferdous, Jianwu Wang, Aneesh Subramanian, and Md Osman Gani (2025). Correlation to causation: A causal deep learning framework for Arctic sea ice prediction. Causal AI for Robust Decision Making Workshop, IEEE International Conference on Pervasive Computing and Communications.pdfcode
  7. Uzma Hasan, Md Osman Gani, Mohammad Adibuzzaman, and Shravan Kethireddy (2025). Leveraging causal AI for robust treatment policy formulation: An ensemble causal tree approach with expert insights in critical care decision-making. Causal AI for Robust Decision Making Workshop, IEEE International Conference on Pervasive Computing and Communications.pdfcode
  8. Uzma Hasan and Md Osman Gani (2025). A knowledge-guided framework to enhance causal reasoning and human-AI collaboration. Causal AI for Robust Decision Making Workshop, IEEE International Conference on Pervasive Computing and Communications.pdfcode
  9. Siyuan Wang, James R Foulds, Md Osman Gani, and Shimei Pan (2025). LLM-based corroborating and refuting evidence retrieval for scientific claim verification. Accepted at the Thirty-Ninth AAAI Conference on Artificial Intelligence (AAAI-25); arXiv preprint arXiv:2503.07937.pdfcode
  10. Emam Hossain and Md Osman Gani (2025). Learning what matters: Causal time series modeling for Arctic sea ice prediction. Accepted, AI for Time Series Analysis Workshop, International Joint Conference on Artificial Intelligence (IJCAI-25).pdfcode

2024

  1. Emam Hossain, Md Osman Gani, Devon Dunmire, Aneesh C Subramanian, and Hammad Younas (2024). Time series classification of supraglacial lakes evolution over Greenland ice sheet. 2024 International Conference on Machine Learning and Applications (ICMLA).pdfcode
  2. Aneesh Subramanian, Devon Dunmire, Emam Hossain, Md Osman Gani, Alison Banwell, and Brendan Myers (2024). The fate of Greenland Ice Sheet supraglacial lakes in a warm and cool year. EGU General Assembly Conference Abstracts.pdfcode
  3. Emam Hossain, Sahara Ali, Yiyi Huang, Nicole-Jeanne Schlegel, Jianwu Wang, Aneesh C Subramanian, and Md Osman Gani (2024). Incorporating causality with deep learning in predicting short-term and seasonal sea ice. 104th AMS Annual Meeting.pdfcode
  4. Sahara Ali, Uzma Hasan, Xingyan Li, Omar Faruque, Akila Sampath, Yiyi Huang, Md Osman Gani, and Jianwu Wang (2024). Causality for earth science–a review on time-series and spatiotemporal causality methods. Under review, Artificial Intelligence for Earth Systems; arXiv preprint arXiv:2404.05746.pdfcode
  5. Sahara Ali, Omar Faruque, Yiyi Huang, Md Osman Gani, Aneesh Subramanian, Nicole Schlegel, Jianwu Wang, and Josephine Namayanja (2024). Estimating causal effects of Greenland blocking on Arctic sea ice melt using deep learning technique.pdfcode
  6. Rochishnu Banerjee, Ethan Han, Longze Li, Haoxiang Yu, Md Osman Gani, Vaskar Raychoudhury, and Roger O Smith (2024). FedAccess: Federated learning-based built surface recognition for wheelchair routing. 2024 IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC).pdfcode

2023

  1. Md Osman Gani, Shravan Kethireddy, Riddhiman Adib, Uzma Hasan, Paul Griffin, and Mohammad Adibuzzaman (2023). Structural causal model with expert augmented knowledge to estimate the effect of oxygen therapy on mortality in the ICU. Artificial Intelligence in Medicine.pdfcode
  2. Muhammad Hasan Ferdous, Uzma Hasan, and Md Osman Gani (2023). CDANs: Temporal causal discovery from autocorrelated and non-stationary time series data. arXiv preprint arXiv:2302.03246.pdfcode
  3. Sourajit Saha, Shaswati Saha, Md Osman Gani, Tim Oates, and David Chapman (2023). RFC-Net: Learning high resolution global features for medical image segmentation on a computational budget. arXiv preprint arXiv:2302.06134.pdfcode
  4. Thomas Nguyen, Md Fourkanul Islam, Rochishnu Banerjee, Hanna M Noyce, Emily M Olejniczak, Roger O Smith, Md Osman Gani, and Vaskar Raychoudhury (2023). MyPath: Accessible route generation using crowd-sensed surface information. International Conference on Mobile and Ubiquitous Systems: Computing, Networking, and Services.pdfcode
  5. Muhammad Hasan Ferdous, Uzma Hasan, and Md Osman Gani (2023). eCDANs: Efficient temporal causal discovery from autocorrelated and non-stationary data (student abstract). arXiv preprint arXiv:2303.02833.pdfcode
  6. Sahara Ali, Omar Faruque, Yiyi Huang, Md Osman Gani, Aneesh Subramanian, Nicole-Jeanne Schlegel, and Jianwu Wang (2023). Quantifying causes of arctic amplification via deep learning based time-series causal inference. 2023 International Conference on Machine Learning and Applications (ICMLA).pdfcode
  7. Uzma Hasan, Emam Hossain, and Md Osman Gani (2023). A survey on causal discovery methods for I.I.D. and time series data. Transactions on Machine Learning Research.pdfcode

2022

  1. Haoxiang Yu, Vaskar Raychoudhury, Snehanshu Saha, Janick Edinger, Roger O Smith, and Md Osman Gani (2022). Automated surface classification system using vibration patterns-A case study with wheelchairs. IEEE Transactions on Artificial Intelligence.pdfcode
  2. Rochishnu Banerjee, Md Fourkanul Islam, Shaswati Saha, Vaskar Raychoudhury, and Md Osman Gani (2022). Surface recognition from wheelchair-induced noisy vibration data: A tale of many cities. 2022 18th International Conference on Mobility, Sensing and Networking (MSN).pdfcode
  3. Uzma Hasan and Md Osman Gani (2022). KCRL: A prior knowledge based causal discovery framework with reinforcement learning. Proceedings of Machine Learning Research.pdfcode
  4. Shaswati Saha, Lauren Selingo, Emily Olejniczak, Hanna Noyce, Vaskar Raychoudhury, Roger O Smith, and Md Osman Gani (2022). Mypath: Accessible routing for wheelchair users. Rehabilitation Engineering and Assistive Technology Society of North America (RESNA).pdfcode

2021

  1. Valeria Mokrenko, Haoxiang Yu, Vaskar Raychoudhury, Janick Edinger, Roger O Smith, and Md Osman Gani (2021). A transfer learning approach to surface detection for accessible routing for wheelchair users. 2021 IEEE 45th Annual Computers, Software, and Applications Conference (COMPSAC).pdfcode

2020

  1. Marvi Bikak, Shravan Kethireddy, Md Osman Gani, and Mohammad Adibuzzaman (2020). Structural causal model with expert augmented knowledge to estimate the effect of oxygen therapy. CHEST.pdfcode
  2. Shrawani Silwal, Vaskar Raychoudhury, Snehanshu Saha, and Md Osman Gani (2020). A dynamic taxi ride sharing system using particle swarm optimization. IEEE 17th International Conference on Mobile Ad Hoc and Sensor Systems (MASS).pdfcode