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Paahuni Khandelwal, Andrei Bachinin, Tanjim Faruk, Everett Lewark, Sangmi Lee Pallickara, and Shrideep Pallickara. DeepSoil: Physics-Guided Learning for High-Resolution Soil Moisture Mapping from Surface to Root-Zone via Multimodal Sensing and Process-Based Modeling. (To appear) ACM Transactions on Spatial Algorithms and Systems. 2026. |
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Rupasree Dey, Abdul Matin, Nathan Orwick, Yao Zhang, Shrideep Pallickara, and Sangmi Lee Pallickara. When to Trust, How to Distill: Multi-Foundation Model Guidance for Lightweight, Robust Scientific Time Series Forecasting. (To appear) Proceedings of the ACM Special Interest Group on Knowledge Discovery and Data Mining (SIGKDD). Jeju, South Korea. 2026. |
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Everett Lewark, Nathan Orwick, Paige Hansen, Ayush Adhikari, Sangmi Lee Pallickara, and Shrideep Pallickara. Federated Querying of Heterogeneous Spatiotemporal Data over Polyglot Stores. (To appear) Proceedings of the IEEE CLOUD Conference. Sydney, Australia. 2026. |
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Tanjim Bin Faruk, Rupasree Dey, Andrei Bachinin, Abdul Matin, Shrideep Pallickara, and Sangmi Lee Pallickara. Science-Guided Multi-Task Deep Learning for Emulating APSIM Simulations for Root-Zone Soil Moisture Forecasting. (To appear) AAAI Summer Symposium. Seoul, South Korea. 2026. |
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Rupasree Dey, Andrei Bachinin, Tanjim Bin Faruk, Abdul Matin, Yao Zheng, Mu Hong, Shrideep Pallickara, and Sangmi Lee Pallickara. XFORMER: A Multi-Stage Uncertainty-Guided Deep Learning Framework for Time Series Extreme Event Forecasting. Proceedings of the IEEE Conference on Artificial Intelligence (CAI). Granada, Spain. 2026. |
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Rupasree Dey, Abdul Matin, Everett Lewark, Tanjim Bin Faruk, Andrei Bachinin, Sam Leuthold, M. Francesca Cotrufo, Shrideep Pallickara, and Sangmi Lee Pallickara. DeepSalt: Bridging Laboratory and Satellite Spectra through Domain Adaptation and Knowledge Distillation for Large-Scale Soil Salinity Estimation. (To appear) Proceedings of the 2025 IEEE International Conference on Big Data. Macau SAR, China. 2025. |
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Paige Hansen, Nathan Orwick, Kassidy Barram, Pierce Smith, Jay Breidt, Sangmi Lee Pallickara, and Shrideep Pallickara. Archimedes: A Framework to Support Distributional Similarity Analysis over Arbitrary Spatiotemporal Scopes at Scale. Proceedings of the 25th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing. (CCGrid 2025). Tromsø, Norway. |
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Tyson O’Leary, Everett Lewark, Federico Larrieu, Nathan Orwick, Paige Hansen, Sangmi Lee Pallickara, and Shrideep Pallickara. Scalable Harmonization for Efficient Exploration of Heterogeneous Spatiotemporal Datasets. Workshop on New Generation Databases and Data-Empowering Technologies in Big Data Era. IEEE Big Data Conference. Macau SAR, China. 2025. |
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Paahuni Khandelwal, Jeffrey Neiman, David Mulla, Sangmi Lee Pallickara, and Shrideep Pallickara. SubTerra: Estimating Soil Moisture at Root Zone Depths Using Science-guided Learning. Proceedings of the IEEE Conference on Artificial Intelligence (CAI). Santa Clara, California, USA. 2025. |
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Federico Larrieu, Tyson O’Leary, Sangmi Lee Pallickara, and Shrideep Pallickara. Magellan: Enabling Effective Search Over Voluminous, High-Dimensional Scientific Datasets. Proceedings of the IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT), 2024. |
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Everett Lewark, Matthew Young, Paahuni Khandelwal, Sangmi Pallickara, and Shrideep Pallickara. Periscope: A Framework for Visualizations of Multiresolution Spatiotemporal Data at Scale. Proceedings of the 2024 IEEE International Conference on Big Data, Washington DC, USA. 2024. |
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Paahuni Khandelwal, Sangmi Lee Pallickara, and Shrideep Pallickara. DeepSoil: A Science-guided Framework for Generating High Precision Soil Moisture Maps by Reconciling Measurement Profiles Across In-situ and Remote Sensing Data. Proceedings 32nd ACM International Conference on Advances in Geographic Information Systems (SIGSPATIAL ’24), Atlanta, GA. 2024. **Finalist for the Best Paper Award. |