Research

My research is at the intersection of Computer Science and Big Data domains such as Environmental Informatics, Transportation, Socio-economics and Healthcare. Recent focus has been on deriving predictive analytics algorithms and applications for data-intensive domains such as Inland Water Transportation, Healthcare, Political Science and Climate Science. Work involves full-stack development of Big data acquisition systems, predictive algorithms that learn from growing data streams and development of web-based visual analytics for insight discovery.

Recent Publications

. Predicting climate types for the Continental United States using unsupervised clustering techniques. Environmetrics, 2018.

Preprint Project

. Data-driven analysis on the effects of extreme weather elements on traffic volume in Atlanta, GA, USA. CEUS, 2018.

PDF Project

. Improving Predictive Accuracy in Elections. Big Data, 2017.

PDF Project

. Deriving Data-Driven Insights from Climate Extreme Indices for the Continental US. IEEE ICDMW 2017, 2017.

PDF Project

Selected Publications

(2018). Predicting climate types for the Continental United States using unsupervised clustering techniques. Environmetrics.

Preprint Project

(2018). Data-driven analysis on the effects of extreme weather elements on traffic volume in Atlanta, GA, USA. CEUS.

PDF Project

(2017). Improving Predictive Accuracy in Elections. Big Data.

PDF Project

(2017). Deriving Data-Driven Insights from Climate Extreme Indices for the Continental US. IEEE ICDMW 2017.

PDF Project

Projects

All Water Transporation Healthcare Weather Extremes Storm Surge Visualization

Climate Informatics

Deriving insights from climate data repositories

Deep Learning

Predictive Analytics for Optimal Water Transportation

Contact

  • 3547 Camino Del Rio South, Suite A San Diego, CA 92108

Former Graduate Students from Data Science Group at LSU
Joel James, MS Industrial Engineering (2012) (Currently: Software Engineer, Flight Stats Inc.)

Xinbo Huang, MS Computer Science (2017) and MS Geography (2016) (Currently: Data Science Programmer at SRCC, LSU)

Thana-on (June) Punkasem, MS Geography (2016) (Currently: UI Designer, Microsoft)

Tri Nguyen, MS Electrical Engineering (2017) (Currently: Software Engineer, Scratch, CA)

Eric Rohli, MS in Engineering Science (2018) (Currently: Data Scientist, Trabus Technologies, CA)

Dineep Thomas, MS Engineering Science (2019) (Currently: Application Engineer, National Oilwell Varco, Houston, TX

Recent & Upcoming Talks

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