Prahlad Jat, Ph.D.
Assistant Professor
Office locationArt & Technology Building, 2108,
Area(s) of Expertise: Machine Learning, Spatial Statistics, Geo-spatial Analytics, Sustainable Water Resource Management, Ecological & Environmental Risk Assessment
Courses Taught
- GISC 2012K - Fundamentals of Spatial Analysis
- ENST 2030 - Environmental Studies
- GISC 4601K - Spatial Analysis for Society
Education
- Ph.D., UNC, Chapel Hill
- M.S. , University of Arkansas, Fayetteville
- M. Tech, IIT, New Delhi
- B.E., IIT, College of Technology & Agricultural Engineering, India
Research/Special Interests
- Machine learning applications in decision making
- Big data: geo-spatial analytics
- Environmental quality and risk assessment
- Mapping and visualization
Publications
Ying Li, Jacqueline M. Gibson, Prahlad Jat, Gavino Puggioni, Mejs Hasan, J. Jason West, Will Vizuete, Ken Sexton, Marc Serre. Burden of disease attributed to anthropogenic air pollution in the United Arab Emirates: Estimates based on observed air quality data. 2010, 408(23):5784-5793.
Prahlad Jat and Marc L Serre. Bayesian Maximum Entropy space/time estimation of surface water chloride in Maryland using river distances. 2016, 219, p 1148-1155.
Mohan, Midhun, Carlos Alberto Silva, Carine Klauberg, Prahlad Jat, Glenn Catts, Adrián Cardil, Andrew Thomas Hudak, and Mahendra Dia. Forests 8, no. 9 (2017): 340.
Prahlad Jat and Marc L Serre. Stochastic Environmental Research and Risk Assessment (2018).
Charanjit Singh Kahlon, Bin Li, James Board, Mahendra Dia, Parmodh Sharma, Prahlad Jat. Open Agriculture. 2018; 3: 110–121.
Book Chapter
Chapter 4: Burden of Disease from Outdoor Air Pollution. 2013. In: MacDonald Gibson, A. Brammer, C. Davidson, T. Folley, F. Launay, and J. Thomsen (eds). Environmental Burden of Disease Assessment: A Case Study in the United Arab Emirates. Dordrecht, the Netherlands: Springer. ISBN-10: 940075924X, ISBN-13: 978-9400759244.
Work Experience
- Assistant Professor - IESA, University of North Georgia, 2019-present
- Product Engineer - esri, 2018 - 2019
- Data Scientist – Monsanto company, 2017-2018
BMEGUI (Bayesian maximum Entropy Graphical user Interface): a Graphical Users Interface to the Bayesian Maximum Entropy Library (BMElib) used to conduct Space/Time geostatistical analysis.
Journal Editorial Board Member
- Open Agriculture Journal
- Journal of Spatial Hydrology
- Agrosystems, Geosciences & Environment Journal