Dr. Amit Singh serves as an Assistant Professor in the Department of Natural Applied Sciences at TERI School of Advanced Studies (TERI SAS), New Delhi, India. He received his PhD in Environmental Science from Jawaharlal Nehru University, India, and has extensive experience in teaching and research within the domain of Environmental Sciences.
His expertise encompasses hydrology, hydrogeology, geomorphology, tectonics, and the applications of geospatial technology (remote sensing and GIS) in Environmental Sciences. During his doctoral research, Dr. Singh investigated the impact of active faulting episodes on hydrogeoenvironment in a hard-rock terrain using an integrated approach of hyperspectral remote sensing and GIS, geomorphologic, geophysical investigations and geological analyses. Beyond his doctoral expertise, Dr. Singh has significant academic interests in natural resource management, urban dynamics, ecosystem rejuvenation, agriculture, integrated impact assessments and sustainability, big data and artificial intelligence applications, natural disaster dynamics, climate risk - assessment, adaptation and mitigation strategies.
Dr. Singh has worked on several projects funded by prestigious national and international agencies as part of his research endeavors. With over a decade of experience, he actively engages in training programs, workshops, and mentoring initiatives for young scholars and professionals. Additionally, he advises and mentors startups and NGOs, helping them address various environmental challenges.
Dr. Singh has been honored with the Shyama Prasad Mukherjee (SPM) Fellowship (Earth, Atmospheric, Ocean & Planetary Sciences) by the Council of Scientific and Industrial Research (CSIR), a recognition awarded to exceptionally meritorious few every year.
Publications:
• Balha, A., Singh, A., Pandey, S., Kumar, R., Mallick, J., & Singh, C. K. (2023). Assessing the impact of land-use dynamics to predict the changes in hydrological variables using effective impervious area (EIA). Water Resources Management, 37(10), 3999–4014. https://doi.org/10.1007/s11269-023-03536-7
• Sajadi, P., Singh, A., Sang, Y.-F., Mukherjee, S., & Chapi, K. (2022). Assessing the key drivers of stream network configuration dynamics for tectonically active drainage basins using multitemporal satellite imagery and statistical analyses. Geocarto International, 37(14), 4108–4140. https://doi.org/10.1080/10106049.2021.1871668
• Sajadi, P., Singh, A., Mukherjee, S., Sang, Y.-F., Chapi, K., & Salari, M. (2022). Drainage network extraction and morphometric analysis in an Iranian basin using integrating factor analysis and geospatial techniques. Geocarto International, 37(3), 896–925. https://doi.org/10.1080/10106049.2020.1750060
• Sajadi, P., Sang, Y.-F., Gholamnia, M., Bonafoni, S., Brocca, L., Pradhan, B., & Singh, A. (2021). Performance evaluation of long NDVI timeseries from AVHRR, MODIS and Landsat sensors over landslide-prone locations in Qinghai-Tibetan Plateau. Remote Sensing, 13(16), 3172. https://doi.org/10.3390/rs13163172
• Singh, C. K., Kumar, A., Shashtri, S., Kumar, A., Mallick, J., Singh, A., Avtar, R., Singh, R. P., Kumar, P., & Ranjan, S. (2021). Geochemical modeling to infer genetic origin of groundwater and associated health risks in desertic aquifers. Groundwater for Sustainable Development, 13(100569), 100569. https://doi.org/10.1016/j.gsd.2021.100569
• Mishra, A. K., Rajput, P., Singh, A., Singh, C. K., & Mall, R. K. (2021). Effect of lockdown amid COVID-19 on ambient air quality in 16 Indian cities. Frontiers in Sustainable Cities, 3, 705051, 1-10. https://doi.org/10.3389/frsc.2021.705051
• Sajadi, P., Singh, A., Mukherjee, S., Luo, P., Chapi, K., & Salari, M. (2021). Multivariate statistical analysis of relationship between tectonic activity and drainage behavior in Qorveh-Dehgolan basin Kurdistan, Iran. Geocarto International, 36(5), 540–562. https://doi.org/10.1080/10106049.2019.1611948
• Singh, C. K., Shashtri, S., Singh, A., & Mukherjee, S. (2011). Quantitative modeling of groundwater in Satluj River basin of Rupnagar district of Punjab using remote sensing and geographic information system. Environmental Earth Sciences, 62(4), 871–881. https://doi.org/10.1007/s12665-010-0574-7
• Singh, C. K., Shashtri, S., Mukherjee, S., Kumari, R., Avatar, R., Singh, A., & Singh, R. P. (2011). Application of GWQI to assess effect of land use change on groundwater quality in lower shiwaliks of Punjab: Remote sensing and GIS based approach. Water Resources Management, 25(7), 1881–1898. https://doi.org/10.1007/s11269-011-9779-0
• Avtar, R., Singh, C. K., Shashtri, S., Singh, A., & Mukherjee, S. (2010). Identification and analysis of groundwater potential zones in Ken–Betwa river linking area using remote sensing and geographic information system. Geocarto International, 25(5), 379–396. https://doi.org/10.1080/10106041003731318
