Dr. Di Tian joined the Department of Crop, Soil, and Environmental Sciences at Auburn University in August 16, 2016. He is also a faculty member in the Climate, Human and Earth System Sciences (CHESS) Cluster  and an adjunct faculty in the Department of Biosystems Engineering. He did a two year Post-Doctoral training with the Terrestrial Hydrology Research Group in the Department of Civil and Environmental Engineering at Princeton University prior to Auburn. He graduated from the University of Florida with a PhD degree in Agricultural and Biological Engineering. His research generally falls in the areas of agricultural climatology, land surface hydrology, and data analytics.

education

2014   Ph.D., Agricultural & Biological Engineering, University of Florida, Gainesville, FL
2010   M.S., Land Resources Management, China University of Geosciences, Beijing, China
2005   B.E., Land Resources Management, China University of Geosciences, Beijing, China

Professional Experience

2016 – Present Assistant Professor, Department of Crop, Soil, and Environmental Sciences, Auburn University, AL
2014 – 2016 Postdoctoral Researcher, Department of Civil and Environmental Engineering, Princeton University, NJ

Honors and Awards

2011 – Present Member, Gamma Sigma Delta, Agricultural Honor Society
2011 – Present Member, Tau Beta Pi, Engineering Honor Society
2010 – 2014 Graduate Alumni Award, University of Florida

Professional Affiliations

American Society of Agricultural and Biological Engineering
American Agronomy Society
American Geophysical Union
American Meteorological Society

 

CSES 7600, Agroclimatology (Instructor), Auburn University, Fall

CSES 5010/6010, Analysis of Plant, Soil, and Animal Data, Auburn University, Spring

 

Research SUMMARY

Research in the group focuses on scientific and engineering issues related to hydrology and climate applications in agriculture and water resources. We employ data analytics and modeling approaches that connect climatological and hydrological processes, agricultural and natural systems, and planning and management. Current work focuses on three primary topics: use of climate and remote sensing datasets for process-based agronomic and hydrologic modeling applications, 2) improving agronomic and water management decision making using data analytics approaches, and 3) assessing climate impacts on agriculture, water, and food security.

Graduate students: Opportunities for PhD and MS students are available periodically. If you are interested in the most up to date opportunities, please contact Dr. Tian.

Postdoc Fellows: candidates who have a strong expertise in scientific computing (e.g. R, Matlab, or Python), data analysis, applied statistics, crop modeling, and/or hydrological modeling, and are highly encouraged to apply.

Visiting scholar or student positions are always available. Self-supported individuals will be given a prior consideration.