| 2025 | AAAI | Accounting for Spatial Variability with the Histogram of Oriented Gradients Based Masking Improves Performance of Masked Autoencoder over Hyperspectral Satellite Imagery (Student Abstract). | Tanjim Bin Faruk, Abdul Matin, Shrideep Pallickara, Sangmi Lee Pallickara |
| 2025 | CCGRID | Archimedes: A Framework to Support Distributional Similarity Analysis over Arbitrary Spatiotemporal Scopes at Scale. | Paige Hansen, Nathan Orwick, Kassidy Barram, Pierce Smith, F. Jay Breidt, Sangmi Lee Pallickara, Shrideep Pallickara |
| 2025 | DSAA | HyperKD: Distilling Cross-Spectral Knowledge in Masked Autoencoders via Inverse Domain Shift with Spatial-Aware Masking and Specialized Loss. | Abdul Matin, Tanjim Bin Faruk, Shrideep Pallickara, Sangmi Lee Pallickara |
| 2023 | CCGRID | Enabling Fast, Effective Visualization of Voluminous Gridded Spatial Datasets. | Paahuni Khandelwal, Menuka Warushavithana, Sangmi Lee Pallickara, Shrideep Pallickara |
| 2023 | CCGRID | Deep Learning based Approach for Fast, Effective Visualization of Voluminous Gridded Spatial Observations. | Paahuni Khandelwal, Menuka Warushavithana, Sangmi Lee Pallickara, Shrideep Pallickara |
| 2023 | ICMI | Paying Attention to Wildfire: Using U-Net with Attention Blocks on Multimodal Data for Next Day Prediction. | Jack Fitzgerald, Ethan Seefried, James E. Yost, Sangmi Lee Pallickara, Nathaniel Blanchard |
| 2022 | CCGRID | Alleviating Resource Requirements for Spatial Deep Learning Workloads. | Saptashwa Mitra, Menuka Warushavithana, Mazdak Arabi, F. Jay Breidt, Sangmi Lee Pallickara, Shrideep Pallickara |
| 2021 | CCGRID | Mind the Gap: Generating Imputations for Satellite Data Collections at Myriad Spatiotemporal Scopes. | Paahuni Khandelwal, Daniel Rammer, Shrideep Pallickara, Sangmi Lee Pallickara |
| 2021 | CLUSTER | A Generative Approach to Visualizing Satellite Data. | Saptashwa Mitra, Daniel Rammer, Shrideep Pallickara, Sangmi Lee Pallickara |
| 2021 | CLUSTER | A Transfer Learning Scheme for Time Series Forecasting Using Facebook Prophet. | Menuka Warushavithana, Saptashwa Mitra, Mazdak Arabi, F. Jay Breidt, Sangmi Lee Pallickara, Shrideep Pallickara |
| 2020 | UCC | Small is Beautiful: Distributed Orchestration of Spatial Deep Learning Workloads. | Daniel Rammer, Kevin Bruhwiler, Paahuni Khandelwal, Samuel Armstrong, Shrideep Pallickara, Sangmi Lee Pallickara |
| 2020 | UCC | Towards Timely, Resource-Efficient Analyses Through Spatially-Aware Constructs within Spark. | Daniel Rammer, Sangmi Lee Pallickara, Shrideep Pallickara |
| 2019 | CLUSTER | STASH : Fast Hierarchical Aggregation Queries for Effective Visual Spatiotemporal Explorations. | Saptashwa Mitra, Paahuni Khandelwal, Shrideep Pallickara, Sangmi Lee Pallickara |
| 2019 | UCC | ATLAS: A Distributed File System for Spatiotemporal Data. | Daniel Rammer, Sangmi Lee Pallickara, Shrideep Pallickara |
| 2018 | ISPA | Radix: Enabling High-Throughput Georeferencing for Phenotype Monitoring over Voluminous Observational Data. | Sangmi Lee Pallickara, Maxwell Roselius |
| 2018 | TrustCom | Effective Integration of Geotagged, Ancilliary Longitudinal Survey Datasets to Improve Adulthood Obesity Predictive Models. | Saptashwa Mitra, Yu Qiu, Haley Moss, Kaigang Li, Sangmi Lee Pallickara |
| 2018 | UCC | Confluence: Adaptive Spatiotemporal Data Integration Using Distributed Query Relaxation over Heterogeneous Observational Datasets. | Saptashwa Mitra, Sangmi Lee Pallickara |
| 2014 | UCC | Using Distributed Analytics to Enable Real-Time Exploration of Discrete Event Simulations. | Matthew Malensek, Walid Budgaga, Sangmi Lee Pallickara, Neil Harvey, F. Jay Breidt, Shrideep Pallickara |
| 2013 | UCC | Polygon-Based Query Evaluation over Geospatial Data Using Distributed Hash Tables. | Matthew Malensek, Sangmi Lee Pallickara, Shrideep Pallickara |
| 2012 | UCC | Expressive Query Support for Multidimensional Data in Distributed Hash Tables. | Matthew Malensek, Sangmi Lee Pallickara, Shrideep Pallickara |
| 2011 | UCC | Galileo: A Framework for Distributed Storage of High-Throughput Data Streams. | Matthew Malensek, Sangmi Lee Pallickara, Shrideep Pallickara |
| 2010 | CloudCom | Efficient Metadata Generation to Enable Interactive Data Discovery over Large-Scale Scientific Data Collections. | Sangmi Lee Pallickara, Shrideep Pallickara, Milija Zupanski, Stephen Sullivan |
| 2006 | CCGRID | End-to-End Trustworthy Data Access in Data-Oriented Scientific Computing. | Sangmi Lee Pallickara, Beth Plale, Liang Fang, Dennis Gannon |
| 2005 | ICCS | Publish/Subscribe Systems on Node and Link Error Prone Mobile Environments. | Sangyoon Oh, Sangmi Lee Pallickara, Sung Hoon Ko, Jai-Hoon Kim, Geoffrey C. Fox |
| 2005 | ICCS | Cost Model and Adaptive Scheme for Publish/Subscribe Systems on Mobile Grid Environments. | Sangyoon Oh, Sangmi Lee Pallickara, Sung Hoon Ko, Jai-Hoon Kim, Geoffrey C. Fox |
| 2005 | ICSOC | Service Oriented Architectures for Science Gateways on Grid Systems. | Dennis Gannon, Beth Plale, Marcus Christie, Liang Fang, Yi Huang, Scott Jensen, Gopi Kandaswamy, Suresh Marru, Sangmi Lee Pallickara, Satoshi Shirasuna, Yogesh Simmhan, Aleksander Slominski, Yiming Sun |