faculty-profile

Dr. Padala Raja Shekar

info

Assistant Professor

Civil Engineering

National Institute of Technology, Tiruchirappalli

7 months

web-pages

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

Educational
Qualifications
(From Highest)

2024

Ph.D. (Water Resources Engineering), NIT Tiruchirappalli

2021

M.Tech (Water Resources Engineering), NIT Kurukshetra

2016

B.Tech (Civil Engineering), Sri Sai Jyothi Engineering College, Hyderabad

Professional
Experience

2024

Assistant Professor at SR University, Warangal, from 2024-09-13 to .

Student
Supervision

Ph.D

PG

UG

Key Publications

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).

Awards and Honors / Achievements

Project

Honored to receive the Budding Researcher Award for the 2022–2023 academic year (PhD) at NIT Trichy from Shri Sudhanshu Mani, the mastermind behind the Vande Bharat Express train.