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 (TrustCom/BigDataSE, 2018)

Confluence: Adaptive Spatiotemporal Data Integration Using Distributed Query Relaxation over Heterogeneous Observational Datasets. - Saptashwa Mitra; Sangmi Lee Pallickara (UCC, 2018)

STRETCH: In-Memory Storage with Autoscaling for Cluster Computing. - Bibek Raj Shrestha; Saptashwa Mitra; Sangmi Lee Pallickara (CLOUD, 2019)

STASH : Fast Hierarchical Aggregation Queries for Effective Visual Spatiotemporal Explorations. - Saptashwa Mitra; Paahuni Khandelwal; Shrideep Pallickara; Sangmi Lee Pallickara (CLUSTER, 2019)

Distributed Orchestration of Regression Models Over Administrative Boundaries. - Menuka Warushavithana; Caleb Carlson; Saptashwa Mitra; Daniel Rammer; Mazdak Arabi; F. Jay Breidt; Sangmi Lee Pallickara; Shrideep Pallickara (BDCAT, 2021)

Glance: A Generative Approach to Interactive Visualization of Voluminous Satellite Imagery. - Saptashwa Mitra; Daniel Rammer; Shrideep Pallickara; Sangmi Lee Pallickara (IEEE BigData, 2021)

Containerization of Model Fitting Workloads over Spatial Datasets. - Menuka Warushavithana; Saptashwa Mitra; Mazdak Arabi; F. Jay Breidt; Sangmi Lee Pallickara; Shrideep Pallickara (IEEE BigData, 2021)

A Generative Approach to Visualizing Satellite Data. - Saptashwa Mitra; Daniel Rammer; Shrideep Pallickara; Sangmi Lee Pallickara (CLUSTER, 2021)

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 (CLUSTER, 2021)

Resource Efficient Profiling of Spatial Variability in Performance of Regression Models. - Caleb Carlson; Menuka Warushavithana; Saptashwa Mitra; Kassidy Barram; Sudipto Ghosh 001; F. Jay Breidt; Sangmi Lee Pallickara; Shrideep Pallickara (IEEE Big Data, 2022)

Alleviating Resource Requirements for Spatial Deep Learning Workloads. - Saptashwa Mitra; Menuka Warushavithana; Mazdak Arabi; F. Jay Breidt; Sangmi Lee Pallickara; Shrideep Pallickara (CCGRID, 2022)

Rapid Betweenness Centrality Estimates for Transportation Networks using Capsule Networks. - Abdul Matin; Samuel Armstrong; Saptashwa Mitra; Shrideep Pallickara; Sangmi Lee Pallickara (TransAI, 2022)

ARGUS: Rapid Wildfire Tracking Using Satellite Data Collections. - Saptashwa Mitra; Paahuni Khandelwal; Shrideep Pallickara; Sangmi Lee Pallickara (CLOUD, 2023)

Rubiks: Rapid Explorations and Summarization over High Dimensional Spatiotemporal Datasets. - Saptashwa Mitra; Matthew Young; F. Jay Breidt; Sangmi Lee Pallickara; Shrideep Pallickara (BDCAT, 2023)

A Framework for Profiling Spatial Variability in the Performance of Classification Models. - Menuka Warushavithana; Kassidy Barram; Caleb Carlson; Saptashwa Mitra; Sudipto Ghosh 001; F. Jay Breidt; Sangmi Lee Pallickara; Shrideep Pallickara (BDCAT, 2023)

Radix+: High-throughput georeferencing and data ingestion over voluminous and fast-evolving phenotyping sensor data. - Saptashwa Mitra; Maxwell Roselius; Pedro Andrade-Sanchez; John K. McKay; Sangmi Lee Pallickara (Concurr. Comput. Pract. Exp., 2023)