Publications

[1]
S. P. Satheesan et al., “Extensible Framework for Analysis of Farm Practices and Programs,” PEARC, 2019.
[1]
S. Puthanveetil, A. Craig, and Y. Zhang, “A Historical Big Data Analysis to Understand the Social Construction of Juvenile Delinquency in the United States,” eScience, 2019.
[1]
C. Wang et al., “Social Media Intelligence and Learning Environment: an Open Source Framework for Social Media Data Collection, Analysis and Curation,” eScience, 2019.
[1]
C. Willis, M. Lambert, R. Kalyanam, K. Coakley, K. McHenry, and C. Kirkpatrick, “Labs Workbench: A Scalable Platform for Research Data Access, Education, and Training,” SCGI, 2019.
[1]
P. Kumar, L. Marini, M. Pitcel, L. Keefer, and K. McHenry, “Design of an Observatory Data System and Open Source Sharing with Active Curation and Machine Learning,” GSA, 2019.
[1]
K. Chard et al., “Implementing Computational Reproducibility in the Whole Tale Environment,” P-RECS’19, 2019.
[1]
D. Katz, K. McHenry, C. Reinking, and R. Haines, “Research Software Development & Management in Universities: Case Studies from Manchester’s RSDS Group, Illinois’ NCSA, and Notre Dame’s CRC,” ACM/IEEE International Conference on Software Engineering, International Workshop on Software Engineering for Science (SE4Science), 2019.
[1]
P. Nguyen et al., “Bracelet: Edge-Cloud Microservice Infrastructure for Aging Scientific Instruments,” International Conference on Computing, Networking and Communications (ICNC), 2019.
[1]
R. Kooper et al., “Developing and Adapting Data Management Services Across Multiple Virtual Observatories,” AGU, 2018.
[1]
L. Marini et al., “Using Docker to Ease the Sharing and Running of Code in the PEcAn Project,” AGU, 2018.
[1]
M. Ruiz et al., “A Prediction System for Vector-Borne Diseases : a Use Case for Weekly Estimation of West Nile Virus Risk,” AGU, 2018.
[1]
W. Thomas et al., “Petabytes in Practice: Working with Collections as Data at Scale,” Workshop on Cyberinfrastructure and Machine Learning for Digital Libraries and Archives, JCDL, 2018.
[1]
S. Satheesan et al., “Brown Dog: Making the Digital World a Better Place, a Few Files at a Time,” PEARC, 2018.
[1]
L. Marini et al., “Clowder: Open Source Data Management for Long Tail Data,” PEARC, 2018.
[1]
M. Burnette et al., “TERRA-REF Data Processing Infrastructure,” PEARC, 2018.
[1]
M. Simeone, C. Morris, K. McHenry, and R. Markley, “The Canoe and the Superpixel: Image Analysis of the Changing Shorelines on Historical Maps of the Great Lakes M. Simeone, C. Morris, K. McHenry, and R. Markley,” Journal18, 2018 [Online]. Available: http://www.journal18.org/issue5/the-canoe-and-the-superpixel-image-analysis-of-the-changing-shorelines-on-historical-maps-of-the-great-lakes/
[1]
D. Li, B. Deal, X. Zhou, M. Slavenas, and W. Sullivan, “Moving Beyond the Neighborhood: Daily Exposure to Nature and Adolescents’ Mood,” Landscape and Urban Planning, 2018 [Online]. Available: https://www.sciencedirect.com/science/article/pii/S0169204618300318
[1]
P. Suppakittpaisarn, B. Jiang, M. Slavenas, and W. Sullivan, “Does Density of Green Infrastructure Predict Preference?,” Urban Forestry & Urban Greening, 2018 [Online]. Available: https://www.researchgate.net/publication/323514146_DOES_DENSITY_OF_GREEN_INFRASTRUCTURE_PREDICT_PREFERENCE
[1]
R. Kooper, M. Burnette, J. Maloney, and D. LeBauer, “Data Flow for the TERRA-REF Project,” presented at the AGU, 2017.
[1]
S. Satheesan et al., “Brown Dog: A Data Transformation Ecosystem for Research - Advancing from Beta to 1.0,” presented at the AGU, 2017.
[1]
I. Gutierrez-Polo et al., “Monitoring Water Quality in the Great Lakes leveraging Geo-Temporal Cyberinfrastructure,” presented at the IEEE eScience, 2017.
[1]
A. Langmead, P. Rodriguez, S. Puthanveetil Satheesan, and A. Craig, “Extracting Meaningful Data from Decomposing Bodies,” presented at the PEARC, 2017.
[1]
A. Langmead, P. Rodriguez, S. Puthanveetil Satheesan, and A. Craig, “Extracting Meaningful Data from Decomposing Bodies,” in Workshop on Computer Vision in Digital Humanities, Digital Humanities, 2017.
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C. Willis, M. Lambert, K. McHenry, and C. Kirkpatrick, “Container-Based Analysis Environments for Low-Barrier Access to Research Data,” PEARC, 2017.
[1]
P. Nguyen et al., “4CeeD: Real-time Acquisition and Analysis Framework for Materials-related Cyber-Physical Environments,” 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, 2017.
[1]
N. Kenyon et al., “Timing of Mesenchymal Stem Cell Infusions Affects Rejection Free and Overall Islet Allograft Survival,” presented at the American Transplant Congress, 2017.
[1]
P. Rodriguez, S. Puthanveetil Satheesan, J. Will, E. Wuerffel, and A. Craig, “Extracting, Assimilating, and Sharing the Results of Image Analysis on the FSA/OWI Photography Collection,” presented at the PEARC, 2017.
[1]
C. Sophocleous, L. Marini, R. Georgiou, M. Elfarargy, and K. McHenry, “Medici 2: A Scalable Content Management System for Cultural Heritage Datasets,” Code4Lib, 2017 [Online]. Available: http://journal.code4lib.org/articles/12317
[1]
J. Cutcher-Gershenfeld et al., “Five ways consortia can catalyse open science,” Nature, 2017 [Online]. Available: http://www.nature.com/news/five-ways-consortia-can-catalyse-open-science-1.21706
[1]
M. Elag, P. Kumar, L. Marini, J. Myers, M. Hedstrom, and B. Plale, “Identification and characterization of information-networks in long-tail data collections,” Environmental Modelling & Software, 2017.
[1]
P. Jiang, M. Elaga, P. Kumar, S. Peckham, L. Marini, and R. Liu, “A service-oriented architecture for coupling web service models using the Basic Model Interface (BMI),” Environmental Modelling & Software, 2017 [Online]. Available: http://www.sciencedirect.com/science/article/pii/S1364815216311525
[1]
K. McHenry et al., “DIBBs Brown Dog - The Need for and Challenges of a Science Driven Data Transformation Service,” in DIBBs PI Workshop, 2017.
[1]
Y. Zhao et al., “Automatic Glomerulus Extraction in Whole Slide Images Towards Computer Aided Diagnosis,” 2016 IEEE 12th International Conference on e-Science (e-Science), 2016.
[1]
S. Padhy et al., “An Architecture for Automatic Deployment of Brown Dog Services At Scale into Diverse Computing Infrastructures,” in XSEDE, 2016.
[1]
N. Makhoul, C. Navarro, J. Lee, and A. Abi-Youness, “Assessment of seismic damage to buildings in resilient Byblos City,” International Journal of Disaster Risk Reduction, 2016 [Online]. Available: http://www.sciencedirect.com/science/article/pii/S221242091530217X
[1]
M. Slavenas, E. Wuerffel, P. Rodriguez, J. Will, and A. Craig, “Image Analysis and Infrastructure Support for Mining the Farm Security Administration – Office of War Information Photography Collection,” in XSEDE, 2016.
[1]
G. Jansen, R. Marciano, S. Padhy, and K. McHenry, “Designing Scalable Cyberinfrastructure for Meta- data Extraction in Billion-Record Archives,” in iPRES, 2016.
[1]
K. McHenry et al., “Brown Dog - A Science Driven Data Transformation Service,” in XSEDE Gateways, 2016.
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S. Padhy et al., “Autocuration Cyberinfrastrucutre for Scientific Discovery and Preservation,” in IEEE eScience, 2015.
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S. Padhy et al., “Brown Dog: Leveraging Everything Towards Autocuration,” in IEEE Big Data, 2015.
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V. Kuhn, A. Craig, M. Simeone, S. P. Satheesan, and L. Marini, “The VAT: Enhanced Video Analysis,” in XSEDE, 2015.
[1]
M. Poole, N. Lambert, S. Satheesan, A. Das, A. Yahja, and M. Hasegawa-Johnson, GroupScope: A Framework and Tools for Large Scale Study of Social Processes. 2015.
[1]
N. Kenyon et al., “Mesenchymal Stem Cells Enhance Rejection Free and Overall Islet Allograft Survival,” in American Transplant Congress, 2015.
[1]
M. Dietze et al., “Chasing the long tail of environmental data: PEcAn is nuts about Brown Dog,” in AGU, 2015.
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M. Dietze et al., “A Quantitative Assessment of a Terrestrial Biosphere Model’s Data Needs Across North American Biomes,” Journal of Geophysical Research - Biogeosciences, 2014.
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L. Diesendruck, R. Kooper, L. Marini, and K. McHenry, “Using Lucene to Index and Search the Digitized 1940 US Census,” Concurrency and Computation: Practice and Experience, 2014.
[1]
E. Black et al., “Using Hidden Markov Models to Determine Changes in Subject Data Over Time, Studying the Immunoregulatory Effect of Mesenchymal Stem Cells,” in IEEE eScience, 2014 [Online]. Available: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4461877/
[1]
E. Cowdery, R. Kooper, D. LeBauer, A. Desai, J. Mantooth, and M. Dietze, “The PEcAn Project: Accessible Tools for On-demand Ecosystem Modeling,” in AGU, San Francisco, 2014.
[1]
S. Rivera et al., “Proposing a Framework for Crowd-Sourced Green Infrastructure Design,” in International Environmental Modelling and Software Society, 2014.
[1]
D. Berman et al., “Multiple Mesenchymal Stem Cell (MSC) Infusions May Be Required to Enhance Engraftment of Allogeneic Islets in Nonhuman Primates,” in Cutting Edge of Transplantation, 2014.