Ranadheer Reddy | Environmental Science | Excellence in Research Award

Published on by Applied Scientist

Mr. Ranadheer Reddy | Environmental Science | Excellence in Research Award

King Mongkut Institute of Technology | Thailand

Mr. Ranadheer Reddy is an emerging researcher whose multidisciplinary work spans geoinformatics, remote sensing, geostatistics, environmental monitoring, public health analytics, and data-driven decision-support systems, supported by a growing academic footprint that includes 6 documents, 15 citations, and an h-index of 3. His publications demonstrate a strong commitment to applying spatial technologies and computational methods to address real-world environmental and societal challenges across India and Southeast Asia. His research on soil erosion estimation and sediment retention in the Lam Phra Phloeng watershed showcases his expertise in watershed assessment and environmental risk modelling, while his recent open-access study on flood mapping and damage assessment during the 2024 Chiang Rai Flood in Thailand highlights his proficiency in leveraging UN-SPIDER-recommended remote sensing methodologies within Google Earth Engine for rapid disaster analysis. Mr. Ranadheer Reddy has also contributed significantly to spatial public health research through a geostatistical analysis of child malnutrition determinants in India, integrating demographic and socio-economic factors to generate policy-relevant insights. His work on spatio-temporal land use and land cover changes in smart cities along the Delhi–Mumbai Industrial Corridor reflects his interest in sustainable urban development and long-term environmental change assessment. Expanding into applied data science, his book chapters explore machine learning approaches for early rice disease diagnosis and big data analytics in the healthcare sector, demonstrating his focus on technological innovation for agricultural resilience, healthcare improvement, and sustainable development. Collectively, his emerging body of work contributes to advancing geospatial intelligence, environmental modelling, and data-driven policy formulation.

Profile: Scopus

Featured Publications

  • Seebonruang, U., Mandadi, R., Thammaboribal, P., Gonzales, A. L., & Bharadwas, G. S. V. S. A. (2025). Estimation of soil erosion and enhancing sediment retention in the Lam Phra Phloeng watershed. Water, 17, 3339.

  • Thammaboribal, P., Tripathi, N., Lipiloet, S., & Mandadi, R. (2025). Flood mapping and damage assessment using UN-SPIDER recommended practices in Google Earth Engine: A case study of the 2024 Chiang Rai Flood, Thailand. International Journal of Geoinformatics, 165–179.

  • Mandadi, R. R., Tripathi, N. K., Pal, I., Mozumder, C., & Gonzales, A. L. (2023). Geostatistical exploratory analysis on child malnutrition and its determinants in India. International Journal of Geoinformatics.

  • Kanchan, A., Nitivattananon, V., Tripathi, N. K., Winijkul, E., & Mandadi, R. R. (2024). A spatio-temporal examination of land use and land cover changes in smart cities of the Delhi–Mumbai Industrial Corridor. Land, 13.

  • Sakhamuri, S., Tatini, N. B., Krishna, P. G., Mandadi, R. R., RajaSekhar, J., Gunnam, L. C., & Teja, K. R. (2025). Machine learning approach to ensure rice nutrition through early diagnosis of rice diseases. In V. Jain, M. Raman, A. Agrawal, M. Hans, & S. Gupta (Eds.), Achieving Sustainability with AI Technologies (pp. 297–310). IGI Global.