Faculty

Sanjay Kumar
Assistant ProfessorDr. Sanjay Kumar is serving as an Assistant Professor in the Faculty of Technology (Geomatics) at CEPT University. He holds an M.Sc. in Remote Sensing and GIS from Kumaun University (2012), an M.Tech in Geoinformatics from Guru Jambheshwar University of Science and Technology in 2016, also holds a Ph.D. in Geoinformatics from Kuvempu University, where he focused on analyzing the rainfall and drought scenarios in Tumakuru, a district in Karnataka, and integrating ground-based and satellite-derived meteorological data to study rainfall and drought patterns using Remote Sensing and GIS Approach. With over seven years of combined teaching and industry experience, Dr. Kumar has been actively involved in cutting-edge research, which has culminated in several high-impact publications in reputable journals. He has presented his research findings at many international conferences, showcasing his expertise and engagement with global advancements in Geoinformatics. His professional journey includes roles such as GIS Analyst, GIS Specialist, and Project Fellow at the Haryana Space Application Centre. Notably, he also served as Team Lead at Drone Imaging and Information Services of Haryana Ltd., where he honed his leadership and technical skills. Dr. Kumar was awarded a prestigious ICSSR Postdoctoral Fellowship, during which he conducted significant research on the impact of climate change and land use/land cover dynamics on the forests of the Western Ghats.
Education
Degree | Institution | Field | Year of Completion |
---|---|---|---|
PhD | Kuvempu University | Geoinformatics | 2023 |
MTech | Guru Jambheshwar University of Science & Technology | Geoinformatics | 2016 |
MSc | Kumaun University | Remote Sensing and GIS | 2012 |
Areas of Expertise
Remote Sensing, Geographic Information System, Cartography, GPS & DGPS, Digital Image Processing, Meteorology, Climate Change
Research Articles and Book Chapters in Areas of Expertise
- Spatial and Temporal Pattern Assessment of Meteorological Drought in Tumakuru District of Karnataka during 1951-2019 using Standardized Precipitation Index. Journal of the Geological Society of India (Springer) 2022.
- Computation of the spatio-temporal extent of rainfall and long-term meteorological drought assessment using standardized precipitation index over Kolar and Chikkaballapura districts, Karnataka during 1951-2019. Remote Sensing Applications: Society and Environment (Elsevier) 2022.
- Spatio-temporal rainfall trend assessment over a semi-arid region of Karnataka state, using non-parametric techniques. Arabian Journal of Geosciences (Springer) 2022.
- Evaluating the consistency of the TRMM over the rain gauge for drought monitoring in the semi-arid region of Karnataka, India, using statistical methods. Environmental Science: Advances (Royal Society of Chemistry) 2022.
- Intensity and spatiotemporal variations of drought in Tumakuru district, India using drought indices. Geocarto International (Taylor & Francis) 2022
- Variation in the response of ground and satellite-based precipitation products in the interpretation of drought in Tumakuru District, Karnataka. World Development Sustainability (Elsevier) 2022
- Time series data and rainfall pattern subjected to climate change using non-parametric tests over a vulnerable region of Karnataka, India. Journal of Water and Climate Change (International Water Association) 2023
- Exploring the influence of LULC change on hydro-meteorological shifts in the Vedavathi basin. Results in Earth Sciences (Elsevier) 2024
- Assessing the potential of hard rock terrain to store groundwater using AHP techniques in the Vedavathi River Basin, India. Evolving Earth (Elsevier) 2025
- Statistical Approach to Visualize the Seven-Decadal Rainfall Variation as Response to Climate Change in a Semiarid Region of Karnataka, India. Book Chapter in Geospatial Technology to Support Communities and Policy (Springer) 2024
Professional Honors, Prizes, Fellowships, Grant-in Aids
Indian Council of Social Science Research (ICSSR) Post Doctoral Fellow