Dr. Priyanka Singh has joined as an Assistant Professor at the TERI School of Advanced Studies on 12 November 2024 in the Department of Natural and Applied Sciences. She received her PhD in Data Science from IIT(ISM) and IIRS (ISRO), India in 2019. She received international and national awards in machine learning and spatial sciences. Before joining TERI SAS, Dr Priyanka Singh was working as an Assistant Professor at UPES, Dehradun and Symbiosis International Deemed University, Pune. She is also serving as a Secretary of the International Society for Photogrammetry and Remote Sensing for Working Group (WG) IV/10 – “Applied Spatial Science for Public Health”. She conveyed various special sessions and tutorials at internationally renowned conferences in the domain of machine learning, geospatial science and citizen science. She published more than 15 research papers and articles in national and international journals/proceedings. Dr. Singh is interested in developing tools and frameworks using applied domain of artificial intelligence, machine learning, citizen science and geospatial technology for the societal development.

Publications:

- Singh, P., & Saran, S. (2024). Identifying and predicting climate change impact on vector-borne disease using machine learning: Case study of Plasmodium falciparum from Africa. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 48, 387-391.
- Singh, P. (2022, December). Role of Machine Learning in Climate Change Impact Assessment on Population Decline of African Lion. In AGU Fall Meeting Abstracts (Vol. 2022, pp. IN35C-0422).
- Saran, S., Chaudhary, S. K., Singh, P., Tiwari, A., & Kumar, V. (2022). A comprehensive review on biodiversity information portals. Biodiversity and Conservation (SCI), 1-24.
- Singh, P., Saran, S. and Kocaman, S., 2021. Role of Maximum Entropy and Citizen Science to Study Habitat Suitability of Jacobin Cuckoo in Different Climate Change Scenarios. ISPRS International Journal of Geo-Information (SCOPUS), 10(7), p.463.
- Singh, P. and Saran, S., 2020. MAXIMUM ENTROPY MODELING USING CITIZEN SCIENCE: USE CASE ON JACOBIN CUCKOO AS AN INDICATOR OF INDIAN MONSOON. ISPRS Annals of Photogrammetry, Remote Sensing & Spatial Information Sciences (SCOPUS), 5(5).
- Saran, S., Singh, P., Kumar, V. and Chauhan, P., 2020. Review of Geospatial Technology for Infectious Disease Surveillance: Use Case on COVID-19. Journal of the Indian Society of Remote Sensing (SCI), pp.1-18.
- Saran, S., Singh, P., Padalia, H., Singh, A., Kumar, V. and Chauhan, P., 2020. Citizen-centric tool for near real-time mapping of active forest fires. Current Science (SCI) (00113891), 119(5).
- Singh, P., Saran, S., Kumar, D., Padalia, H., Srivastava, A. and Kumar, A.S., 2018. Species mapping using citizen science approach through IBIN portal: use case in foothills of Himalaya. Journal of the Indian Society of Remote Sensing (SCI), 46(10), pp.1725-1737.
- Saran, S., Singh, P., Ganeshaiah, K. N., Padalia, H., & Oberoi, K. (2018). Interoperable model for bioresource distributed databases. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (SCOPUS), 42, 791-800.
- Singh, P., Kumar, D., & Saran, S. (2018). Interoperable framework for improving data quality using semantic approach: use case on biodiversity. Environmental Sustainability, 1, 367-381.