Assistant Professor
Civil Engineering
Water Resources Engineering | Hydrological Modeling | Sub-watershed Prioritization
Artificial Intelligence (AI) in Rainfall-Runoff Modeling | Groundwater | Soil Erosion | SWAT
Mail: p.rajashekar@sru.edu.in
Ph.D. (Water Resources Engineering), NIT Tiruchirappalli
M.Tech (Water Resources Engineering), NIT Kurukshetra
B.Tech (Civil Engineering), Sri Sai Jyothi Engineering College, Hyderabad
Assistant Professor at SR University, Warangal, from 2024-09-13 to .
Ph.D
PG
UG
Shekar, P. R., & Mathew, A. (2022). Evaluation of morphometric and hypsometric analysis of the Bagh River basin using remote sensing and geographic information system techniques. Energy Nexus, 7, 100104. (Elsevier / Indexed: Scopus).
Shekar, P. R., & Mathew, A. (2022). Prioritising sub-watersheds using morphometric analysis, principal component analysis, and land use/land cover analysis in the Kinnerasani River basin, India. H2Open Journal, 5(3), 490-514. (International Water Association (IWA) / Indexed: ESCI).
Mathew, A., & Shekar, P. R. (2022). Flood prioritization of basins based on geomorphometric properties using morphometric analysis and principal component analysis: a case study of the Maner River Basin. In River Dynamics and Flood Hazards: Studies on Risk and Mitigation (pp. 323-353). Singapore: Springer Nature Singapore. (Book Chapter).
Shekar, P. R., & Mathew, A. (2022). Erosion susceptibility mapping based on hypsometric analysis using remote sensing and geographical information system techniques. In River Dynamics and flood hazards: Studies on risk and mitigation (pp. 483-494). Singapore: Springer Nature Singapore. (Book Chapter).
Shekar, P. R., & Mathew, A. (2022). Morphometric analysis for prioritizing sub-watersheds of Murredu River basin, Telangana State, India, using a geographical information system. Journal of Engineering and Applied Science, 69(1), 44. (Springer / Indexed: Scopus).
Shekar, P. R., & Mathew, A. (2023). Detection of land use/land cover changes in a watershed: A case study of the Murredu watershed in Telangana state, India. Watershed Ecology and the Environment, 5, 46-55. (Elsevier / Indexed: Scopus).
Shekar, P. R., & Mathew, A. (2023). Flood susceptibility mapping of the Peddavagu River Basin using GIS-AHP techniques. Developments in Environmental Science, 14, 125-141. (Book Chapter).
Nath, S., Mathew, A., Khandelwal, S., & Shekar, P. R. (2023). Rainfall and temperature dynamics in four Indian states: A comprehensive spatial and temporal trend analysis. HydroResearch, 6, 247-254. (Elsevier / Indexed: Scopus).
Shekar, P. R., Mathew, A., PS, A., & Gopi, V. P. (2023). Sub-watershed prioritization using morphometric analysis, principal component analysis, hypsometric analysis, land use/land cover analysis, and machine learning approaches in the Peddavagu River Basin, India. Journal of Water and Climate Change, 14(7), 2055-2084. (International Water Association (IWA) / Indexed: SCIE).
Shekar, P. R., Mathew, A., Abdo, H. G., Almohamad, H., Abdullah Al Dughairi, A., & Al-Mutiry, M. (2023). Prioritizing sub-watersheds for soil erosion using geospatial techniques based on morphometric and hypsometric analysis: a case study of the Indian Wyra River basin. Applied Water Science, 13(7), 160. (Springer / Indexed: SCIE).
Shekar, P. R., & Mathew, A. (2023). Watershed prioritization of drainage basins based on geomorphometric parameters, Neyyar watershed, India. Quaestiones Geographicae, 42(3), 29-47. (Sciendo / Indexed: ESCI).
Shekar, P. R., & Mathew, A. (2023). Integrated assessment of groundwater potential zones and artificial recharge sites using GIS and Fuzzy-AHP: a case study in Peddavagu watershed, India. Environmental Monitoring and Assessment, 195(7), 906. (Springer / Indexed: SCIE).
Kavya, M., Mathew, A., & Shekar, P. R. (2023). Short term water demand forecast modelling using artificial intelligence for smart water management. Sustainable Cities and Society, 95, 104610. (Elsevier / Indexed: SCIE).
Shekar, P. R., & Mathew, A. (2023). Delineation of groundwater potential zones and identification of artificial recharge sites in the Kinnerasani Watershed, India, using remote sensing-GIS, AHP, and Fuzzy-AHP techniques. AQUA—Water Infrastructure, Ecosystems and Society, 72(8), 1474-1498. (International Water Association (IWA) / Indexed: SCIE).
Shekar, P. R., Mathew, A., Pandey, A., & Bhosale, A. (2023). A comparison of the performance of SWAT and artificial intelligence models for monthly rainfall–runoff analysis in the Peddavagu River Basin, India. AQUA—Water Infrastructure, Ecosystems and Society, 72(9), 1707-1730. (International Water Association (IWA) / Indexed: SCIE).
Shekar, P. R., Mathew, A., S, A. P., & Gopi, V. P. (2023). Rainfall-Runoff modelling using SWAT and eight artificial intelligence models in the Murredu Watershed, India. Environmental Monitoring and Assessment, 195(9), 1041. (Springer / Indexed: SCIE).
Shekar, P. R., & Mathew, A. (2023). Assessing groundwater potential zones and artificial recharge sites in the monsoon-fed Murredu river basin, India: An integrated approach using GIS, AHP, and Fuzzy-AHP. Groundwater for Sustainable Development, 23, 100994. (Elsevier / Indexed: ESCI).
Mathew, A., Sarwesh, P., Khandelwal, S., Raja Shekar, P., Omeiza Alao, J., Abdo, H. G., ... & Abdullah Al Dughairi, A. (2023). Thermal dynamics of Jaipur: Analyzing urban heat island effects using in-situ and remotely sensed data. Cogent Engineering, 10(2), 2269654. (Taylor & Francis / Indexed: ESCI).
Mathew, A., Gokul, P. R., Raja Shekar, P., Arunab, K. S., Ghassan Abdo, H., Almohamad, H., & Abdullah Al Dughairi, A. (2023). Air quality analysis and PM2.5 modelling using machine learning techniques: A study of Hyderabad city in India. Cogent Engineering, 10(1), 2243743. (Taylor & Francis / Indexed: ESCI).
Shekar, P. R., & Mathew, A. (2024). Morphometric analysis of watersheds: A comprehensive review of data sources, quality, and geospatial techniques. Watershed Ecology and the Environment, 6, 13-25. (Elsevier / Indexed: Scopus).
Shekar, P. R., & Mathew, A. (2024). GIS-based assessment of soil erosion and sediment yield using the revised universal soil loss equation (RUSLE) model in the Murredu Watershed, Telangana, India. HydroResearch, 7, 315-325. (Elsevier / Indexed: Scopus).
Nandan, A. K., Mathew, A., & Shekar, P. R. (2024). Trend Analysis of Aerosol Concentrations over last two decades from MODIS retrievals over Hyderabad District of India. Geomatics and Environmental Engineering, 18(1), 83-116. (AGH / Indexed: Scopus)
Arunab, K. S., Badugu, A., Mathew, A., & Shekar, P. R. (2022, August). Spatio-Temporal Surface Urban Heat Island Effect Analysis Over Tiruchirappalli City, India, Using GIS Techniques. In International Virtual Conference on Developments and Applications of Geomatics (pp. 449-466). Singapore: Springer Nature Singapore. (Conference Proceedings).
Shekar, P. R., & Mathew, A. (2024). Morphometric Analysis for Prioritizing Sub-watersheds of the Chulband River Basin, India, Using Geospatial Techniques. In Geospatial Technology to Support Communities and Policy: Pathways to Resiliency (pp. 29-45). Cham: Springer Nature Switzerland. (Book Chapter).
Shekar, P. R., & Mathew, A. (2024). AI-Based Rainfall-Runoff Modelling for Sustainable Water Management in Potteruvagu Watershed, India. In Geospatial Technology to Support Communities and Policy: Pathways to Resiliency (pp. 95-107). Cham: Springer Nature Switzerland. (Book Chapter).
Shekar, P. R., & Mathew, A. (2023). Artificial Intelligence-Based Monthly Rainfall-Runoff Modeling in India’s Bardha Watershed. In International Conference on River Corridor Research and Management (pp. 45-58). Singapore: Springer Nature Singapore. (Conference Proceedings).
Shekar, P. R., Mathew, A., & Sharma, K. V. (2025). A hybrid CNN–RNN model for rainfall–runoff modeling in the Potteruvagu watershed of India. CLEAN–Soil, Air, Water, 2300341. (Wiley / Indexed: SCIE).
Shekar, P. R., & Mathew, A. (2024). Assessment of soil erosion and sediment yield in the Peddavagu watershed, India, using a revised universal soil loss equation model (RUSLE) and GIS techniques. Journal of Water and Climate Change, 15(7), 3138-3157. (International Water Association (IWA) / Indexed: SCIE).
Mathew, A., Shekar, P. R., Nair, A. T., Mallick, J., Rathod, C., Bindajam, A. A., & Abdo, H. G. (2024). Unveiling urban air quality dynamics during COVID-19: a Sentinel-5P TROPOMI hotspot analysis. Scientific Reports, 14(1), 21624. (Nature / Indexed: SCIE).
Meda, B. N. M., Mathew, A., Sarwesh, P., Shekar, P. R., & Sharma, K. V. (2024). Machine learning-based modeling of ground level ozone formation in Bangalore and New Delhi cities in India. Stochastic Environmental Research and Risk Assessment, 1-28. (Springer / Indexed: SCIE).
Shekar, P. R., Mathew, A., Yeswanth, P. V., & Deivalakshmi, S. (2024). A combined deep CNN-RNN network for rainfall-runoff modelling in Bardha Watershed, India. Artificial Intelligence in Geosciences, 5, 100073. (Elsevier / Indexed: Scopus).
Mathew, A., Kunal, R., Sharma, K. V., & Shekar, P. R. (2024). Environmental impacts of COVID-19 lockdown on Indian metropolitan cities: a comprehensive analysis of air quality, water quality, and surface temperatures. International Journal of System Assurance Engineering and Management, 1-39. (Springer / Indexed: ESCI).
Mathew, A., Aljohani, T. H., Shekar, P. R., Arunab, K. S., Sharma, A. K., Ahmed, M. F. M., ... & Abdo, H. G. (2025). Spatiotemporal dynamics of urban heat island effect and air pollution in Bengaluru and Hyderabad: implications for sustainable urban development. Discover Sustainability, 6(1), 134. (Springer / Indexed: ESCI).
Lokesh, P., Madhesh, C., Mathew, A., & Shekar, P. R. (2025). Machine learning and deep learning-based landslide susceptibility mapping using geospatial techniques in Wayanad, Kerala state, India. HydroResearch, 8, 113-126. (Elsevier / Indexed: Scopus).
Moncy, R. G., Mathew, A., & Shekar, P. R. (2025). Spatio-temporal variation and trend analysis of ground-level ozone in major Indian metropolitan cities: A geospatial approach. Remote Sensing Applications: Society and Environment, 37, 101395. (Elsevier / Indexed: SCIE).
Shekar, P. R., Mathew, A., Hasher, F. F. B., Mehmood, K., & Zhran, M. (2025). Towards Sustainable Development: Ranking of Soil Erosion-Prone Areas Using Morphometric Analysis and Multi-Criteria Decision-Making Techniques. Sustainability, 17(5), 2124. (Sustainability / Indexed: SCIE).