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Sangmi Lee Pallickara
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- affiliation: Colorado State University, USA
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2020 – today
- 2023
- [j21]Saptashwa Mitra
, Maxwell Roselius, Pedro Andrade-Sanchez, John K. McKay, Sangmi Lee Pallickara:
Radix+: High-throughput georeferencing and data ingestion over voluminous and fast-evolving phenotyping sensor data. Concurr. Comput. Pract. Exp. 35(8) (2023) - [c58]Saptashwa Mitra, Paahuni Khandelwal, Shrideep Pallickara, Sangmi Lee Pallickara:
ARGUS: Rapid Wildfire Tracking Using Satellite Data Collections. CLOUD 2023: 72-83 - [c57]Menuka Warushavithana
A Framework for Profiling Spatial Variability in the Performance of Classification Models. BDCAT 2023: 06:1-06:11 - [c56]Saptashwa Mitra
Rubiks: Rapid Explorations and Summarization over High Dimensional Spatiotemporal Datasets. BDCAT 2023: 11:1-11:11 - [c55]Abdul Matin, Paahuni Khandelwal, Shrideep Pallickara, Sangmi Lee Pallickara:
DISCERN: Leveraging Knowledge Distillation to Generate High Resolution Soil Moisture Estimation from Coarse Satellite Data. IEEE Big Data 2023: 1222-1229 - [c54]Matthew Young, Sangmi Lee Pallickara, Shrideep Pallickara:
AQUA: A Framework for Spatiotemporal Analysis and Visualizations of Water Quality Data at Scale. IEEE Big Data 2023: 1555-1562 - [c53]Paahuni Khandelwal, Menuka Warushavithana, Sangmi Lee Pallickara, Shrideep Pallickara:
Deep Learning based Approach for Fast, Effective Visualization of Voluminous Gridded Spatial Observations. CCGridW 2023: 316-318 - [c52]Paahuni Khandelwal, Menuka Warushavithana, Sangmi Lee Pallickara, Shrideep Pallickara:
Enabling Fast, Effective Visualization of Voluminous Gridded Spatial Datasets. CCGrid 2023: 592-604 - 2022
- [j20]Samuel Armstrong
Attention-based convolutional capsules for evapotranspiration estimation at scale. Environ. Model. Softw. 152: 105366 (2022) - [j19]Daniel Rammer
Enabling Fast Exploratory Analyses Over Voluminous Spatiotemporal Data Using Analytical Engines. IEEE Trans. Big Data 8(1): 213-228 (2022) - [c51]Caleb Carlson, Menuka Warushavithana, Saptashwa Mitra, Kassidy Barram, Sudipto Ghosh, F. Jay Breidt
Resource Efficient Profiling of Spatial Variability in Performance of Regression Models. IEEE Big Data 2022: 437-444 - [c50]Pierce Smith, Sangmi Lee Pallickara, Shrideep Pallickara:
Griddle: Effective Query Support over Voluminous Gridded Spatial Datasets. IEEE Big Data 2022: 792-799 - [c49]Saptashwa Mitra, Menuka Warushavithana, Mazdak Arabi, F. Jay Breidt
Alleviating Resource Requirements for Spatial Deep Learning Workloads. CCGRID 2022: 452-462 - [c48]Paahuni Khandelwal, Samuel Armstrong, Abdul Matin
CloudNet: A Deep Learning Approach for Mitigating Occlusions in Landsat-8 Imagery using Data Coalescence. e-Science 2022: 117-127 - [c47]Abdul Matin
Rapid Betweenness Centrality Estimates for Transportation Networks using Capsule Networks. TransAI 2022: 89-96 - 2021
- [j18]Thilina Buddhika
Living on the Edge: Data Transmission, Storage, and Analytics in Continuous Sensing Environments. ACM Trans. Internet Things 2(3): 16:1-16:31 (2021) - [j17]Thilina Buddhika
Pebbles: Leveraging Sketches for Processing Voluminous, High Velocity Data Streams. IEEE Trans. Parallel Distributed Syst. 32(8): 2005-2020 (2021) - [c46]Menuka Warushavithana, Caleb Carlson, Saptashwa Mitra, Daniel Rammer, Mazdak Arabi, F. Jay Breidt
Distributed Orchestration of Regression Models Over Administrative Boundaries. BDCAT 2021: 80-90 - [c45]Saptashwa Mitra, Daniel Rammer, Shrideep Pallickara, Sangmi Lee Pallickara:
Glance: A Generative Approach to Interactive Visualization of Voluminous Satellite Imagery. IEEE BigData 2021: 359-367 - [c44]Menuka Warushavithana, Saptashwa Mitra, Mazdak Arabi, F. Jay Breidt
Containerization of Model Fitting Workloads over Spatial Datasets. IEEE BigData 2021: 3770-3779 - [c43]Paahuni Khandelwal, Daniel Rammer, Shrideep Pallickara, Sangmi Lee Pallickara:
Mind the Gap: Generating Imputations for Satellite Data Collections at Myriad Spatiotemporal Scopes. CCGRID 2021: 92-102 - [c42]Menuka Warushavithana, Saptashwa Mitra, Mazdak Arabi, F. Jay Breidt
A Transfer Learning Scheme for Time Series Forecasting Using Facebook Prophet. CLUSTER 2021: 809-810 - [c41]Saptashwa Mitra, Daniel Rammer, Shrideep Pallickara, Sangmi Lee Pallickara:
A Generative Approach to Visualizing Satellite Data. CLUSTER 2021: 815-816 - 2020
- [c40]Kevin Bruhwiler, Thilina Buddhika, Shrideep Pallickara, Sangmi Lee Pallickara:
Iris: Amortized, Resource Efficient Visualizations of Voluminous Spatiotemporal Datasets. BDCAT 2020: 47-56 - [c39]Walid Budgaga, Matthew Malensek, Sangmi Lee Pallickara, Shrideep Pallickara:
Concerto: Leveraging Ensembles for Timely, Accurate Model Training Over Voluminous Datasets. BDCAT 2020: 106-115 - [c38]Kevin Bruhwiler, Paahuni Khandelwal, Daniel Rammer, Samuel Armstrong, Sangmi Lee Pallickara, Shrideep Pallickara:
Lightweight, Embeddings Based Storage and Model Construction Over Satellite Data Collections. IEEE BigData 2020: 246-255 - [c37]Daniel Rammer, Sangmi Lee Pallickara, Shrideep Pallickara:
Towards Timely, Resource-Efficient Analyses Through Spatially-Aware Constructs within Spark. UCC 2020: 46-56 - [c36]Daniel Rammer, Kevin Bruhwiler, Paahuni Khandelwal, Samuel Armstrong, Shrideep Pallickara, Sangmi Lee Pallickara:
Small is Beautiful: Distributed Orchestration of Spatial Deep Learning Workloads. UCC 2020: 101-111
2010 – 2019
- 2019
- [j16]Naman Shah, Matthew Malensek
Scalable network analytics for characterization of outbreak influence in voluminous epidemiology datasets. Concurr. Comput. Pract. Exp. 31(7) (2019) - [j15]Matthew Malensek
Trident: Distributed Storage, Analysis, and Exploration of Multidimensional Phenomena. IEEE Trans. Big Data 5(2): 252-265 (2019) - [c35]Bibek Raj Shrestha, Saptashwa Mitra, Sangmi Lee Pallickara:
STRETCH: In-Memory Storage with Autoscaling for Cluster Computing. CLOUD 2019: 224-228 - [c34]Samuel Armstrong, Kevin Bruhwiler, Sangmi Lee Pallickara:
Rapid, Progressive Sub-Graph Explorations for Interactive Visual Analytics over Large-Scale Graph Datasets. BDCAT 2019: 1-10 - [c33]Saptashwa Mitra, Paahuni Khandelwal, Shrideep Pallickara, Sangmi Lee Pallickara:
STASH : Fast Hierarchical Aggregation Queries for Effective Visual Spatiotemporal Explorations. CLUSTER 2019: 1-11 - [c32]Daniel Rammer, Sangmi Lee Pallickara, Shrideep Pallickara:
ATLAS: A Distributed File System for Spatiotemporal Data. UCC 2019: 11-20 - 2018
- [c31]Daniel Rammer, Walid Budgaga, Thilina Buddhika, Shrideep Pallickara, Sangmi Lee Pallickara:
Alleviating I/O Inefficiencies to Enable Effective Model Training Over Voluminous, High-Dimensional Datasets. IEEE BigData 2018: 468-477 - [c30]Sangmi Lee Pallickara, Maxwell Roselius:
Radix: Enabling High-Throughput Georeferencing for Phenotype Monitoring over Voluminous Observational Data. ISPA/IUCC/BDCloud/SocialCom/SustainCom 2018: 1112-1119 - [c29]Saptashwa Mitra, Yu Qiu, Haley Moss, Kaigang Li, Sangmi Lee Pallickara:
Effective Integration of Geotagged, Ancilliary Longitudinal Survey Datasets to Improve Adulthood Obesity Predictive Models. TrustCom/BigDataSE 2018: 1738-1746 - [c28]Saptashwa Mitra, Sangmi Lee Pallickara:
Confluence: Adaptive Spatiotemporal Data Integration Using Distributed Query Relaxation over Heterogeneous Observational Datasets. UCC 2018: 184-193 - 2017
- [j14]Matthew Malensek, Sangmi Lee Pallickara, Shrideep Pallickara:
HERMES: Federating Fog and Cloud Domains to Support Query Evaluations in Continuous Sensing Environments. IEEE Cloud Comput. 4(2): 54-62 (2017) - [j13]Walid Budgaga, Matthew Malensek
A framework for scalable real-time anomaly detection over voluminous, geospatial data streams. Concurr. Comput. Pract. Exp. 29(12) (2017) - [j12]Matthew Malensek, Sangmi Lee Pallickara, Shrideep Pallickara:
Fast, Ad Hoc Query Evaluations over Multidimensional Geospatial Datasets. IEEE Trans. Cloud Comput. 5(1): 28-42 (2017) - [j11]Thilina Buddhika, Matthew Malensek, Sangmi Lee Pallickara, Shrideep Pallickara:
Synopsis: A Distributed Sketch over Voluminous Spatiotemporal Observational Streams. IEEE Trans. Knowl. Data Eng. 29(11): 2552-2566 (2017) - [c27]Johnson Charles Kachikaran Arulswamy, Sangmi Lee Pallickara:
Columbus: Enabling Scalable Scientific Workflows for Fast Evolving Spatio-Temporal Sensor Data. SCC 2017: 9-18 - 2016
- [j10]Matthew Malensek, Sangmi Lee Pallickara, Shrideep Pallickara:
Autonomous Cloud Federation for High-Throughput Queries over Voluminous Datasets. IEEE Cloud Comput. 3(3): 40-49 (2016) - [j9]Cameron Tolooee, Matthew Malensek, Sangmi Lee Pallickara:
A scalable framework for continuous query evaluations over multidimensional, scientific datasets. Concurr. Comput. Pract. Exp. 28(8): 2546-2563 (2016) - [j8]Walid Budgaga, Matthew Malensek, Sangmi Lee Pallickara, Neil Harvey, F. Jay Breidt
Predictive analytics using statistical, learning, and ensemble methods to support real-time exploration of discrete event simulations. Future Gener. Comput. Syst. 56: 360-374 (2016) - [j7]Matthew Malensek, Sangmi Lee Pallickara, Shrideep Pallickara:
Minerva: Proactive Disk Scheduling for QoS in Multitier, Multitenant Cloud Environments. IEEE Internet Comput. 20(3): 19-27 (2016) - [j6]Matthew Malensek, Sangmi Lee Pallickara, Shrideep Pallickara:
Analytic Queries over Geospatial Time-Series Data Using Distributed Hash Tables. IEEE Trans. Knowl. Data Eng. 28(6): 1408-1422 (2016) - [c26]Naman Shah, Harshil Shah, Matthew Malensek, Sangmi Lee Pallickara, Shrideep Pallickara:
Network analysis for identifying and characterizing disease outbreak influence from voluminous epidemiology data. IEEE BigData 2016: 1222-1231 - [c25]Cameron Tolooee, Sangmi Lee Pallickara, Asa Ben-Hur:
Mendel: A Distributed Storage Framework for Similarity Searching over Sequencing Data. IPDPS 2016: 790-799 - 2015
- [c24]Matthew Malensek, Sangmi Lee Pallickara, Shrideep Pallickara:
Alleviation of Disk I/O Contention in Virtualized Settings for Data-Intensive Computing. BDC 2015: 1-10 - 2014
- [j5]Matthew Malensek, Sangmi Lee Pallickara, Shrideep Pallickara:
Evaluating Geospatial Geometry and Proximity Queries Using Distributed Hash Tables. Comput. Sci. Eng. 16(4): 53-61 (2014) - [c23]Jared Koontz, Matthew Malensek, Sangmi Lee Pallickara:
GeoLens: Enabling Interactive Visual Analytics over Large-Scale, Multidimensional Geospatial Datasets. BDC 2014: 35-44 - [c22]Cameron Tolooee, Matthew Malensek, Sangmi Lee Pallickara:
A Framework for Managing Continuous Query Evaluations over Voluminous, Multidimensional Datasets. ICCAC 2014: 73-82 - [c21]Matthew Malensek, Walid Budgaga, Sangmi Lee Pallickara, Neil Harvey, F. Jay Breidt
Using Distributed Analytics to Enable Real-Time Exploration of Discrete Event Simulations. UCC 2014: 49-58 - 2013
- [j4]Matthew Malensek, Sangmi Lee Pallickara, Shrideep Pallickara:
Exploiting geospatial and chronological characteristics in data streams to enable efficient storage and retrievals. Future Gener. Comput. Syst. 29(4): 1049-1061 (2013) - [c20]Matthew Malensek, Sangmi Lee Pallickara, Shrideep Pallickara:
Autonomously improving query evaluations over multidimensional data in distributed hash tables. CAC 2013: 15:1-15:10 - [c19]Matthew Malensek, Sangmi Lee Pallickara, Shrideep Pallickara:
Polygon-Based Query Evaluation over Geospatial Data Using Distributed Hash Tables. UCC 2013: 219-226 - 2012
- [j3]Sangmi Lee Pallickara, Shrideep Pallickara, Milija Zupanski:
Towards efficient data search and subsetting of large-scale atmospheric datasets. Future Gener. Comput. Syst. 28(1): 112-118 (2012) - [c18]Matthew Malensek, Sangmi Lee Pallickara, Shrideep Pallickara:
Expressive Query Support for Multidimensional Data in Distributed Hash Tables. UCC 2012: 31-38 - 2011
- [c17]Sangmi Lee Pallickara, Matthew Malensek, Shrideep Pallickara:
Enabling access to timeseries, geospatial data for on-demand visualization. LDAV 2011: 141-142 - [c16]Matthew Malensek, Sangmi Lee Pallickara, Shrideep Pallickara:
Galileo: A Framework for Distributed Storage of High-Throughput Data Streams. UCC 2011: 17-24 - 2010
- [j2]Marlon E. Pierce
The Quakesim portal and services: new approaches to science gateway development techniques. Concurr. Comput. Pract. Exp. 22(12): 1732-1749 (2010) - [c15]Sangmi Lee Pallickara, Shrideep Pallickara, Milija Zupanski, Stephen Sullivan:
Efficient Metadata Generation to Enable Interactive Data Discovery over Large-Scale Scientific Data Collections. CloudCom 2010: 573-580 - [p1]Sangmi Lee Pallickara, Shrideep Pallickara, Marlon E. Pierce:
Scientific Data Management in the Cloud: A Survey of Technologies, Approaches and Challenges. Handbook of Cloud Computing 2010: 517-533
2000 – 2009
- 2008
- [c14]Sangmi Lee Pallickara, Marlon E. Pierce
SWARM: Scheduling Large-Scale Jobs over the Loosely-Coupled HPC Clusters. eScience 2008: 285-292 - 2006
- [c13]Sangmi Lee Pallickara, Beth Plale
End-to-End Trustworthy Data Access in Data-Oriented Scientific Computing. CCGRID 2006: 395-400 - [c12]Yiming Sun, Scott Jensen, Sangmi Lee Pallickara, Beth Plale
Personal Workspace for Large-Scale Data-Driven Computational Experiment. GRID 2006: 112-119 - [c11]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, Yiming Sun, Nithya N. Vijayakumar:
Building e-Science Portals: A Service Oriented Architecture. High Performance Computing Workshop 2006: 149-166 - [c10]Scott Jensen, Beth Plale
A Hybrid XML-Relational Grid Metadata Catalog. ICPP Workshops 2006: 15-24 - [c9]Sangmi Lee Pallickara, Beth Plale
TrustCell: Towards the End-to-End Trustworthiness in Data-Oriented Scientific Computing. ICPP Workshops 2006: 33-42 - [c8]Yogesh L. Simmhan
Data Management in Dynamic Environment-driven Computational Science. Grid-Based Problem Solving Environments 2006: 317-333 - 2005
- [j1]Beth Plale
Cooperating services for data-driven computational experimentation. Comput. Sci. Eng. 7(5): 34-43 (2005) - [c7]Sangmi Lee Pallickara, Beth Plale
Monitoring Access to Stateful Resources in Grid Environments. IEEE SCC 2005: 343-346 - [c6]Sangmi Lee Pallickara, Beth Plale
Structure, sharing and preservation of scientific experiment data. CLADE 2005: 107-114 - [c5]Shrideep Pallickara, Geoffrey C. Fox, Beytullah Yildiz, Sangmi Lee Pallickara, Sima Patel, Damodar Yemme:
On the Costs for Reliable Messaging in Web/Grid Service Environments. e-Science 2005: 344-351 - [c4]Sangyoon Oh, Sangmi Lee Pallickara, Sung Hoon Ko, Jai-Hoon Kim, Geoffrey C. Fox:
Cost Model and Adaptive Scheme for Publish/Subscribe Systems on Mobile Grid Environments. International Conference on Computational Science (3) 2005: 275-278 - [c3]Sangyoon Oh, Sangmi Lee Pallickara, Sung Hoon Ko, Jai-Hoon Kim, Geoffrey C. Fox:
Publish/Subscribe Systems on Node and Link Error Prone Mobile Environments. International Conference on Computational Science (2) 2005: 576-584 - [c2]Dennis Gannon, Beth Plale
Service Oriented Architectures for Science Gateways on Grid Systems. ICSOC 2005: 21-32 - [c1]Shrideep Pallickara, Geoffrey C. Fox, Sangmi Lee Pallickara:
An Analysis of Reliable Delivery Specifications for Web Services. ITCC (1) 2005: 360-365
Coauthor Index
[c58] [c57] [c56] [c55] [c54] [c53] [c52] [j20] [j19] [c51] [c50] [c49] [c48] [c47] [j18] [j17] [c46] [c45] [c44] [c43] [c42] [c41] [c40] [c39] [c38] [c37] [c36] [j16] [j15] [c33] [c32] [c31] [j14] [j13] [j12] [j11] [j10] [j8] [j7] [j6] [c26] [c24] [j5] [c21] [j4] [c20] [c19] [j3] [c18] [c17] [c16] [c15] [p1] [c5] [c1]
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