Sunandana Reddy Machireddy
Rajeev Gandhi Memorial College of Engineering & Technology (Autonomous), CMR Group of Institutions, Sri Venkateswara University, Bharathidasan University
0000-0002-4905-1234
About
Dr. Sunandana Reddy M. is an academician and researcher specializing in Remote Sensing, Geographic Information Systems (GIS), Hydrology, and Water Resources Engineering. He holds an M.Sc. in Geology, an M.Tech. in Remote Sensing and GIS, and a Ph.D. focused on Water Resources Development using Remote Sensing and GIS techniques. His research interests include rainfall–runoff modeling, watershed management, flood estimation, geospatial analysis, machine learning applications in hydrology, and environmental monitoring.
He has experience in integrating geospatial technologies with hydrological modeling approaches such as the SCS–Curve Number method and machine learning algorithms for sustainable water resource planning. His work emphasizes the application of Remote Sensing, GIS, and artificial intelligence techniques in solving real-world environmental and water management problems.
Dr. Sunandana Reddy has contributed to research in areas including land use/land cover analysis, hydrological soil group mapping, runoff estimation, and spatial data analysis. He is actively involved in academic research, scientific writing, and interdisciplinary studies related to geosciences and water resources. His professional interests also include mentoring students, research collaboration, and contributing to scientific journals and conferences in the fields of geosciences, hydrology, and geospatial technologies.
Employment
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Rajeev Gandhi Memorial College of Engineering & Technology (Autonomous) Associate Professor2016 - Present
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CMR Group of Institutions Associate Professor2012 - 2016
Education
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Sri Venkateswara University Ph.D2005 - 2011
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Bharathidasan University M.Tech (Remote Sensing & GIS)2002 - 2004
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Sri Venkateswara University M.Sc2000 - 2002
Projects & Funding
Projects & funding information is unavailable.
Publications (19)
- Predicting Future Land Use Patterns in Kurnool District, India using Cellular Automata and Artificial Neural Network Models Save
- Geospatial Technology Approach for Soil Moisture Estimation in Kurnool District, Andhra Pradesh, Using NDVI and LST Save
- Integrated Green Building Design for Environmental Preservation - Sustainable Construction Save
- Natural Resource Management using Remote Sensing and Geographic Information Systems Save
- Automatic Extraction of Watershed Model by using Python Programming Save
- Mapping And Change Detection Analysis Of Land Use / Land Cover By Using Geospatial Technologies Save
- Assessment and distribution of groundwater quality using Water Quality Index and geospatial technology in Vempalli Mandal of Andhra Pradesh, India Save
- Heavy metal contamination and the assessment of health risks in groundwater in Arani industrial zones in Southern India Save
- Geospatial Technologies in the extraction of Groundwater Potential Zones A case study of Nandyal Mandal, Kurnool District of Andhra Pradesh, India Save
- Demarcation of Ground Water Potential Zones using Remote Sensing and GIS Applications Save