Assistant Professor, Department of Civil and Environmental Engineering
- Ph.D. 2009 Civil Engineering - Water Resources Engineering; University of Utah, Salt Lake City, UT
- M.S. 2004 Remote Sensing & GIS; Anna University, Chennai, India
- B.E. 2002 Civil Engineering; Govt. College of Engineering, Salem, India
Licenses and Certificates
- Certified Mapping Scientist-Remote Sensing (offered by ASPRS)
- LEED Accredited Professional with specialty in Building design and Construction
Dr. Jeyachandran is an Assistant Professor in the Department of Civil and Environmental Engineering. She received her PhD in Water Resources Engineering from the University of Utah, preceded by her masters in Remote Sensing & GIS from Anna University, India. She has been working with GIS and remote sensing software and tools for the past 18 years. Dr. Jeyachandran is a certified mapping scientist- Remote Sensing offered by the American Society of Photogrammetry and Remote Sensing. Owing to her interest in creating a sustainable built environment, she has taken initiative to be credentialed as a LEED Accredited Professional with specialization in Building design and Construction. Dr. Jeyachandran was awarded the Green Talents award for outstanding scientists in the field of sustainable development by the Federal Ministry of Education and Research, Germany. She has also been as a visiting scientist at the Institute for Energy Economics and the Rational Use of Energy (University of Stuttgart), where she analyzed the impacts of land use change on energy demand and Green House Gas (GHG) emissions using GIS. Her past research has been focused on quantifying impacts of various urban landscape development patterns on water cycle, sensible and latent heat fluxes, urban air temperature, and energy usage. Her research domain is sustainable urban infrastructure planning using remote sensing, GIS, modeling, and observation techniques. Her current research is focused on analyzing wildfire risk in the State of California using remote sensing data, specifically Landsat 8 OLI and TIRS data.