June 19, 2016

CV

Summary

Research scientist focused on data driven scientific discovery. I currently work in the Computational Sciences and Engineering Division at Oak Ridge National Laboratory, concentrating on geographic data science applied to areas such as clean energy and national security. My background is in spatial statistics and geographic information science. Areas of interest include; data science, spatiotemporal analytics, machine learning, and statistical software development.

Education

University of Tennessee, Knoxville
Bredesen Center for Interdisciplinary Research
Data Science and Engineering, PhD
2017 – Present
University of Tennessee, Knoxville
Masters of Science in Geography
2013

Thesis: Modeling the Effects of Distance and Spatial Dependence in International Trade

University of Tennessee, Knoxville
Bachelors of Arts in Geography
2010

Experience

Oak Ridge National Laboratory
Research Scientist in Geographic Data Sciences
2015 – Present

 

Oak Ridge National Laboratory
Research Associate for Research, Data Development, and Modeling in GIS
2013 – 2015

 

University of Tennessee, Knoxville
Graduate Research Assistant
2013

 

University of Tennessee, Knoxville
Graduate Teaching Assistant
2011 – 2013

 

Oak Ridge National Laboratory
Research Associate (summers)
2011 – 2013

Awards and Honors

Significant Event Award, Oak Ridge National Laboratory 2014
Robert G. Long Outstanding Graduate Student (MS), University of Tennessee, Knoxville 2013
Science Alliance Fellowship, University of Tennessee, Knoxville 2012
Geography Department Outstanding Teaching Assistant, University of Tennessee, Knoxville 2012

 

Publications

2017

Piburn, J, A Morton, and R Stewart (2017). Attribute Portfolio Distance: A Dynamic Time Warping based approach to comparing and detecting common spatiotemporal patterns among multi-attribute data portfolios. Advances in Geocomputation: Geocomputation 2015–The 13th International Conference. D. A. Griffith, Y. Chun and D. J. Dean. Cham, Springer International Publishing: 197-205.

Stewart, R, J Piburn, E Weber, M Urban, A Morton, G Thakur, and B Bhaduri (2017). Can Social Media Play a Role in the Development of Building Occupancy Curves? Advances in Geocomputation: Geocomputation 2015–The 13th International Conference. D. A. Griffith, Y. Chun and D. J. Dean. Cham, Springer International Publishing: 59-66.

Morton, A, N Nagle, J Piburn, R Stewart, R McManamay (2017). Hybrid Dasymetric and Machine Learning Approach to High-Resolution Residential Electricity Consumption Modeling In Advances Advances in Geocomputation: Geocomputation 2015–The 13th International Conference. D. A. Griffith, Y. Chun and D. J. Dean. Cham, Springer International Publishing: 47-58.

2016

Stewart, R, M Urban, S Duchscherer, J Kaufman, A Morton, G Thakur, J Piburn, and J Moehl (2016). A Bayesian machine learning model for estimating building occupancy from open source data. Natural Hazards, 81(3), 1929-1956.

2015

Stewart, R, Piburn, J, Sorokine, A, Myers, A, Moehl, J, & White, D (2015). World Spatiotemporal Analytics and Mapping Project (wstamp): Discovering, Exploring, and Mapping Spatiotemporal Patterns across the World’s Largest Open Source Data Sets. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2(4), 95.

Thakur, G, Bhaduri B, Piburn, J, Sims, K, Stewart, R, and M Urban, (2015) “PlanetSense: A real-time streaming and spatio-temporal analytics platform for gathering geo-spatial intelligence from open source data,” in Proceedings of the 22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems.

2014

Marks, J, Piburn, J, Tootle, G, Kerr, G, and Oubeidillah, A (2014). “Estimates of Glacier Mass Loss and Contribution to Streamflow in the Wind River Range in Wyoming: Case Study.” J. Hydrol. Eng.

Maloof, A, Piburn, J, Tootle, G, & Kerr, G (2014). Recent Alpine Glacier Variability: Wind River Range, Wyoming, USA. Geosciences, 4(3), 191-201.

Conference Presentations

Piburn, J, R Stewart and April Morton. (September 2017) “An Approximate Entropy Based Approach for Quantifying Stability in Spatio-Temporal Data with Limited Temporal Observations” Geocomputation 2017, Leeds, UK

Morton, A, J Piburn, N Nagle, H Aziz, S Duchscherer and R Stewart. (September 2017) “A Simulation Approach for Modeling High-Resolution Daytime Commuter Travel Flows and Distributions of Worker Subpopulations” Geocomputation 2017, Leeds, UK

Stewart, R, M Urban, D Anderson, S Duchscherer, E Axley, and J Piburn. (September 2017) “Towards a Virtual Reality Elicitation of Building Occupancy” Geocomputation 2017, Leeds, UK

Piburn, J, R Stewart, Myers A, et al. (August 2017) “The World Spatiotemporal Analytics and Mapping Project (WSTAMP): Further Progress in Discovering, Exploring, and Mapping Spatiotemporal Patterns Across the World’s Largest Open Source Data Sets” NSF 2nd International Symposium on Spatiotemporal Computing, Harvard University

Stewart, R, J Piburn, A Morton. (August 2017) “A Simple Spatially Weighted Measure of Temporal Stability for Data with Limited Temporal Observations” NSF 2nd International Symposium on Spatiotemporal Computing, Harvard University

Morton, A, R Stewart, J Piburn, S Duchscherer, N Nagle, H Aziz, B Park. (2017) “A Monte-Carlo Simulation Approach for Estimating and Quantifying the Uncertainty of United States Worker Population Distributions and Journey to Work Travel Flows by Demographic Category” American Association of Geographers, Boston, MA

Shipilov, S, D Graham, J Moon, J Piburn, and R Simpson. (2017) “Water Infrastructure Corrosion: What Prevents Us from Preventing It?” NACE Corrosion 2017, New Orleans, LA

Stewart, R, A Myers, D Axley, A Sorokine, J Piburn. (2017) “World SpatioTemporal Analytics and Mapping Project (WSTAMP): Cloud Implementation of Open Source Algorithms and Data Stores for Sustainable, Scalable Analysis of Space-Time Data.” Society for Industrial and Applied Mathematics, Atlanta, GA

Piburn, J, R Stewart, A Myers, and A Sorokine. (2016) “Advances in World Spatio-Temporal Analytics and Mapping Project” American Association of Geographers, San Francisco, CA

Morton, A, J Piburn, R McManamay, N Nagle, R Stewart (2016). “A Dasymetric-Based Monte Carlo Simulation Approach to the Probabilistic Analysis of Spatial Variables” GIScience, Montreal, Canada

Stewart, R, C Wilkerson, E Ragan, M Agreda, D White, J Piburn. (2016) “A 3D Virtual Environment for Spatio-Temporal Analysis: Theoretical Approach, Proof of Concept, and User Study” GIScience, Montreal, Canada

Thakur, G, K Sparks, R Stewart, M Urban, and B Bhaduri. Presented by J Piburn (2016). “Landuse Classification and Occupancy Estimation from Fine Grained Social Media Analysis” Social Media Workshop GIScience, Montreal, Canada

Piburn, J and R Stewart. (2015) “Using non-linear data mining algorithms from exploring spatiotemporal trends” Conference of Complex Systems, Tempe, AZ

Stewart, R, J Piburn, A Sorokine, and A Myers. (2015) “World Spatio-Temporal Analytics and Mapping Project” NSF 1st International Symposium on Spatiotemporal Computing, George Mason University

Piburn, J and R Stewart. (2015) “Using Dynamic Time Warping for finding and assessing ST trends in large global datasets: applications and findings from the WSTAMP project” American Association of Geographers, Chicago, IL

Piburn, J and N Nagle. (2013) “Modeling the Effects of Distance and Spatial Dependence in International Trade” Spatial Econometrics Association Annual Meeting, Washington D.C.

Kerr, G, J Piburn, J Rudolph, G Tootle, J Marks. (2012) “Use of Remote Sensed Imagery to Evaluate Land Cover Change: North Platte River Basin.” AGU Fall Meeting, San Francisco, CA

Conference Organizing

“Big Spatiotemporal Data Discovery and Mining” (2017) Paper Session Co-Organizer. American Association of Geographers, Boston, MA

“Open Source Software in Geography: Theories, Developments, and Pathways toward Openness” (2017) Paper Session Co-Organizer. American Association of Geographers, Boston, MA

“Open Source Software in Geography: Theories, Developments, and Pathways toward Openness” (2017) Panel Session Co-Organizer. American Association of Geographers, Boston, MA

“CyberGIS for Understanding Complex Food, Energy, and Water Systems” (2016) Paper Session Chair and Co-Organizer. American Association of Geographers, San Francisco, CA

Software

wbstats: An R package for searching and downloading data from the World Bank API
https://github.com/GIST-ORNL/wbstats

In the Media

Are You Ready for Some Football Analytics?
https://www.datanami.com/2017/02/03/are-you-ready-football-analytics/

Data, Analytics, Probabilities and the Super Bowl
https://www.nextplatform.com/2017/02/03/data-analytics-probabilities-super-bowl/

Super Bowl Sunday in the Age of Data and Drones
https://thenewstack.io/super-bowl-sunday-age-data-tech/

Science of the Super Bowl LI Newswise Live Expert Panel Event
http://newswise.com/articles/view/668352/

Scientists using technology in Pokémon Go to save lives
http://www.wbir.com/news/local/scientists-using-technology-in-pokemon-go-to-save-lives/285513171