Monitoring Access to Stateful Resources in Grid Environments. - Sangmi Lee Pallickara; Beth Plale; Scott Jensen; Yiming Sun 001 (IEEE SCC, 2005)

Structure, sharing and preservation of scientific experiment data. - Sangmi Lee Pallickara; Beth Plale; Scott Jensen; Yiming Sun 001 (CLADE, 2005)

On the Costs for Reliable Messaging in Web/Grid Service Environments. - Shrideep Pallickara; Geoffrey C. Fox; Beytullah Yildiz; Sangmi Lee Pallickara; Sima Patel; Damodar Yemme (e-Science, 2005)

Publish/Subscribe Systems on Node and Link Error Prone Mobile Environments. - Sangyoon Oh 001; Sangmi Lee Pallickara; Sung Hoon Ko; Jai-Hoon Kim; Geoffrey C. Fox (International Conference on Computational Science (2), 2005)

Cost Model and Adaptive Scheme for Publish/Subscribe Systems on Mobile Grid Environments. - Sangyoon Oh 001; Sangmi Lee Pallickara; Sung Hoon Ko; Jai-Hoon Kim; Geoffrey C. Fox (International Conference on Computational Science (3), 2005)

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; et al. (ICSOC, 2005)

An Analysis of Reliable Delivery Specifications for Web Services. - Shrideep Pallickara; Geoffrey C. Fox; Sangmi Lee Pallickara (ITCC (1), 2005)

Cooperating services for data-driven computational experimentation. - Beth Plale; Dennis Gannon; Yi Huang; Gopi Kandaswamy; Sangmi Lee Pallickara; Aleksander Slominski (Comput. Sci. Eng., 2005)

End-to-End Trustworthy Data Access in Data-Oriented Scientific Computing. - Sangmi Lee Pallickara; Beth Plale; Liang Fang; Dennis Gannon (CCGRID, 2006)

Personal Workspace for Large-Scale Data-Driven Computational Experiment. - Yiming Sun 001; Scott Jensen; Sangmi Lee Pallickara; Beth Plale (GRID, 2006)

Building e-Science Portals: A Service Oriented Architecture. - Dennis Gannon; Beth Plale; Marcus Christie; Yi Huang; Scott Jensen; Ning Liu; Suresh Marru; Sangmi Lee Pallickara; Srinath Perera; Satoshi Shirasuna; Yogesh Simmhan; Aleksander Slominski; et al. (High Performance Computing Workshop, 2006)

A Hybrid XML-Relational Grid Metadata Catalog. - Scott Jensen; Beth Plale; Sangmi Lee Pallickara; Yiming Sun 001 (ICPP Workshops, 2006)

TrustCell: Towards the End-to-End Trustworthiness in Data-Oriented Scientific Computing. - Sangmi Lee Pallickara; Beth Plale (ICPP Workshops, 2006)

Data Management in Dynamic Environment-driven Computational Science. - Yogesh L. Simmhan; Sangmi Lee Pallickara; Nithya N. Vijayakumar; Beth Plale (Grid-Based Problem Solving Environments, 2006)

SWARM: Scheduling Large-Scale Jobs over the Loosely-Coupled HPC Clusters. - Sangmi Lee Pallickara; Marlon E. Pierce (eScience, 2008)

Scientific Data Management in the Cloud: A Survey of Technologies, Approaches and Challenges. - Sangmi Lee Pallickara; Shrideep Pallickara; Marlon E. Pierce (Handbook of Cloud Computing, 2010)

Efficient Metadata Generation to Enable Interactive Data Discovery over Large-Scale Scientific Data Collections. - Sangmi Lee Pallickara; Shrideep Pallickara; Milija Zupanski; Stephen Sullivan (CloudCom, 2010)

The Quakesim portal and services: new approaches to science gateway development techniques. - Marlon E. Pierce; Xiaoming Gao; Sangmi Lee Pallickara; Zhenhua Guo 004; Geoffrey C. Fox (Concurr. Comput. Pract. Exp., 2010)

Enabling access to timeseries, geospatial data for on-demand visualization. - Sangmi Lee Pallickara; Matthew Malensek; Shrideep Pallickara (LDAV, 2011)

Galileo: A Framework for Distributed Storage of High-Throughput Data Streams. - Matthew Malensek; Sangmi Lee Pallickara; Shrideep Pallickara (UCC, 2011)

Expressive Query Support for Multidimensional Data in Distributed Hash Tables. - Matthew Malensek; Sangmi Lee Pallickara; Shrideep Pallickara (UCC, 2012)

Towards efficient data search and subsetting of large-scale atmospheric datasets. - Sangmi Lee Pallickara; Shrideep Pallickara; Milija Zupanski (Future Gener. Comput. Syst., 2012)

Autonomously improving query evaluations over multidimensional data in distributed hash tables. - Matthew Malensek; Sangmi Lee Pallickara; Shrideep Pallickara (CAC, 2013)

Polygon-Based Query Evaluation over Geospatial Data Using Distributed Hash Tables. - Matthew Malensek; Sangmi Lee Pallickara; Shrideep Pallickara (UCC, 2013)

Exploiting geospatial and chronological characteristics in data streams to enable efficient storage and retrievals. - Matthew Malensek; Sangmi Lee Pallickara; Shrideep Pallickara (Future Gener. Comput. Syst., 2013)

GeoLens: Enabling Interactive Visual Analytics over Large-Scale, Multidimensional Geospatial Datasets. - Jared Koontz; Matthew Malensek; Sangmi Lee Pallickara (BDC, 2014)

A Framework for Managing Continuous Query Evaluations over Voluminous, Multidimensional Datasets. - Cameron Tolooee; Matthew Malensek; Sangmi Lee Pallickara (ICCAC, 2014)

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 (UCC, 2014)

Evaluating Geospatial Geometry and Proximity Queries Using Distributed Hash Tables. - Matthew Malensek; Sangmi Lee Pallickara; Shrideep Pallickara (Comput. Sci. Eng., 2014)

Alleviation of Disk I/O Contention in Virtualized Settings for Data-Intensive Computing. - Matthew Malensek; Sangmi Lee Pallickara; Shrideep Pallickara (BDC, 2015)

Network analysis for identifying and characterizing disease outbreak influence from voluminous epidemiology data. - Naman Shah 001; Harshil Shah; Matthew Malensek; Sangmi Lee Pallickara; Shrideep Pallickara (IEEE BigData, 2016)

Mendel: A Distributed Storage Framework for Similarity Searching over Sequencing Data. - Cameron Tolooee; Sangmi Lee Pallickara; Asa Ben-Hur (IPDPS, 2016)

Autonomous Cloud Federation for High-Throughput Queries over Voluminous Datasets. - Matthew Malensek; Sangmi Lee Pallickara; Shrideep Pallickara (IEEE Cloud Comput., 2016)

A scalable framework for continuous query evaluations over multidimensional, scientific datasets. - Cameron Tolooee; Matthew Malensek; Sangmi Lee Pallickara (Concurr. Comput. Pract. Exp., 2016)

Predictive analytics using statistical, learning, and ensemble methods to support real-time exploration of discrete event simulations. - Walid Budgaga; Matthew Malensek; Sangmi Lee Pallickara; Neil Harvey; F. Jay Breidt; Shrideep Pallickara (Future Gener. Comput. Syst., 2016)

Minerva: Proactive Disk Scheduling for QoS in Multitier, Multitenant Cloud Environments. - Matthew Malensek; Sangmi Lee Pallickara; Shrideep Pallickara (IEEE Internet Comput., 2016)

Analytic Queries over Geospatial Time-Series Data Using Distributed Hash Tables. - Matthew Malensek; Sangmi Lee Pallickara; Shrideep Pallickara (IEEE Trans. Knowl. Data Eng., 2016)

Columbus: Enabling Scalable Scientific Workflows for Fast Evolving Spatio-Temporal Sensor Data. - Johnson Charles Kachikaran Arulswamy; Sangmi Lee Pallickara (SCC, 2017)

HERMES: Federating Fog and Cloud Domains to Support Query Evaluations in Continuous Sensing Environments. - Matthew Malensek; Sangmi Lee Pallickara; Shrideep Pallickara (IEEE Cloud Comput., 2017)

A framework for scalable real-time anomaly detection over voluminous, geospatial data streams. - Walid Budgaga; Matthew Malensek; Sangmi Lee Pallickara; Shrideep Pallickara (Concurr. Comput. Pract. Exp., 2017)

Fast, Ad Hoc Query Evaluations over Multidimensional Geospatial Datasets. - Matthew Malensek; Sangmi Lee Pallickara; Shrideep Pallickara (IEEE Trans. Cloud Comput., 2017)

Synopsis: A Distributed Sketch over Voluminous Spatiotemporal Observational Streams. - Thilina Buddhika; Matthew Malensek; Sangmi Lee Pallickara; Shrideep Pallickara (IEEE Trans. Knowl. Data Eng., 2017)

Alleviating I/O Inefficiencies to Enable Effective Model Training Over Voluminous, High-Dimensional Datasets. - Daniel Rammer; Walid Budgaga; Thilina Buddhika; Shrideep Pallickara; Sangmi Lee Pallickara (IEEE BigData, 2018)

Radix: Enabling High-Throughput Georeferencing for Phenotype Monitoring over Voluminous Observational Data. - Sangmi Lee Pallickara; Maxwell Roselius (ISPA/IUCC/BDCloud/SocialCom/SustainCom, 2018)

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)

Rapid, Progressive Sub-Graph Explorations for Interactive Visual Analytics over Large-Scale Graph Datasets. - Samuel Armstrong; Kevin Bruhwiler; Sangmi Lee Pallickara (BDCAT, 2019)

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

ATLAS: A Distributed File System for Spatiotemporal Data. - Daniel Rammer; Sangmi Lee Pallickara; Shrideep Pallickara (UCC, 2019)

Scalable network analytics for characterization of outbreak influence in voluminous epidemiology datasets. - Naman Shah 001; Matthew Malensek; Harshil Shah; Shrideep Pallickara; Sangmi Lee Pallickara (Concurr. Comput. Pract. Exp., 2019)

Trident: Distributed Storage, Analysis, and Exploration of Multidimensional Phenomena. - Matthew Malensek; Walid Budgaga; Ryan Stern; Shrideep Pallickara; Sangmi Lee Pallickara (IEEE Trans. Big Data, 2019)

Iris: Amortized, Resource Efficient Visualizations of Voluminous Spatiotemporal Datasets. - Kevin Bruhwiler; Thilina Buddhika; Shrideep Pallickara; Sangmi Lee Pallickara (BDCAT, 2020)

Concerto: Leveraging Ensembles for Timely, Accurate Model Training Over Voluminous Datasets. - Walid Budgaga; Matthew Malensek; Sangmi Lee Pallickara; Shrideep Pallickara (BDCAT, 2020)

Lightweight, Embeddings Based Storage and Model Construction Over Satellite Data Collections. - Kevin Bruhwiler; Paahuni Khandelwal; Daniel Rammer; Samuel Armstrong; Sangmi Lee Pallickara; Shrideep Pallickara (IEEE BigData, 2020)

Small is Beautiful: Distributed Orchestration of Spatial Deep Learning Workloads. - Daniel Rammer; Kevin Bruhwiler; Paahuni Khandelwal; Samuel Armstrong; Shrideep Pallickara; Sangmi Lee Pallickara (UCC, 2020)

Towards Timely, Resource-Efficient Analyses Through Spatially-Aware Constructs within Spark. - Daniel Rammer; Sangmi Lee Pallickara; Shrideep Pallickara (UCC, 2020)

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)

Mind the Gap: Generating Imputations for Satellite Data Collections at Myriad Spatiotemporal Scopes. - Paahuni Khandelwal; Daniel Rammer; Shrideep Pallickara; Sangmi Lee Pallickara (CCGRID, 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)

Living on the Edge: Data Transmission, Storage, and Analytics in Continuous Sensing Environments. - Thilina Buddhika; Matthew Malensek; Shrideep Pallickara; Sangmi Lee Pallickara (ACM Trans. Internet Things, 2021)

Pebbles: Leveraging Sketches for Processing Voluminous, High Velocity Data Streams. - Thilina Buddhika; Sangmi Lee Pallickara; Shrideep Pallickara (IEEE Trans. Parallel Distributed Syst., 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)

Griddle: Effective Query Support over Voluminous Gridded Spatial Datasets. - Pierce Smith; 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)

CloudNet: A Deep Learning Approach for Mitigating Occlusions in Landsat-8 Imagery using Data Coalescence. - Paahuni Khandelwal; Samuel Armstrong; Abdul Matin; Shrideep Pallickara; Sangmi Lee Pallickara (e-Science, 2022)

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

Attention-based convolutional capsules for evapotranspiration estimation at scale. - Samuel Armstrong; Paahuni Khandelwal; Dhruv Padalia; Gabriel B. Senay; Darin Schulte; Allan A. Andales; F. Jay Breidt; Shrideep Pallickara; Sangmi Lee Pallickara (Environ. Model. Softw., 2022)

Enabling Fast Exploratory Analyses Over Voluminous Spatiotemporal Data Using Analytical Engines. - Daniel Rammer; Thilina Buddhika; Matthew Malensek; Shrideep Pallickara; Sangmi Lee Pallickara (IEEE Trans. Big Data, 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)

DISCERN: Leveraging Knowledge Distillation to Generate High Resolution Soil Moisture Estimation from Coarse Satellite Data. - Abdul Matin; Paahuni Khandelwal; Shrideep Pallickara; Sangmi Lee Pallickara (IEEE Big Data, 2023)

AQUA: A Framework for Spatiotemporal Analysis and Visualizations of Water Quality Data at Scale. - Matthew Young; Sangmi Lee Pallickara; Shrideep Pallickara (IEEE Big Data, 2023)

Enabling Fast, Effective Visualization of Voluminous Gridded Spatial Datasets. - Paahuni Khandelwal; Menuka Warushavithana; Sangmi Lee Pallickara; Shrideep Pallickara (CCGrid, 2023)

Deep Learning based Approach for Fast, Effective Visualization of Voluminous Gridded Spatial Observations. - Paahuni Khandelwal; Menuka Warushavithana; Sangmi Lee Pallickara; Shrideep Pallickara (CCGridW, 2023)

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 (ICMI, 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)

Scrybe: Enabling Programmatic Interfaces for Explorations Over Voluminous Spatiotemporal Data Collections. - Kassidy Barram; Sangmi Lee Pallickara; Shrideep Pallickara (BDCAT, 2024)

Magellan: Enabling Effective Search Over Voluminous, High-dimensional Scientific Datasets. - Federico Larrieu; Tyson O'Leary; Sangmi Lee Pallickara; Shrideep Pallickara (BDCAT, 2024)

Periscope: A Framework for Visualizations of Multiresolution Spatiotemporal Data at Scale. - Everett Lewark; Matthew Young; Paahuni Khandelwal; Sangmi Lee Pallickara; Shrideep Pallickara (IEEE Big Data, 2024)

DeepSoil: A Science-guided Framework for Generating High Precision Soil Moisture Maps by Reconciling Measurement Profiles Across In-situ and Remote Sensing Data. - Paahuni Khandelwal; Sangmi Lee Pallickara; Shrideep Pallickara (SIGSPATIAL/GIS, 2024)

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 (AAAI, 2025)

TerraMAE: Learning Spatial-Spectral Representations from Hyperspectral Earth Observation Data via Adaptive Masked Autoencoders. - Tanjim Bin Faruk; Abdul Matin; Shrideep Pallickara; Sangmi Lee Pallickara (CoRR, 2025)

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 (CoRR, 2025)