Biography:
- Chandra Sekhar Koppireddy is an accomplished researcher and academician in the field of computer science and engineering. He received his M.Tech degree from Aditya Engineering College, Surampalem, and is currently pursuing his Ph.D. at KL University, Vaddeswaram.
- With a prolific research career, he has authored/co-authored over 35 publications in reputable international journals and conferences, accumulating more than 85 citations (Google Scholar). His research demonstrates a significant impact in the domains of machine learning and computer vision.
- Mr. Koppireddy currently serves as an assistant professor at Pragati Engineering College, where he imparts knowledge and guides the next generation of engineers. His research is primarily focused on developing innovative computational models to solve complex problems in image processing, medical diagnostics, and predictive analytics.
Publications:
- Hybrid Support Vector Machine Integrated Convolution Neural Network Algorithms for Analyzing Body Motion Data for Predicting Leg Injuries, 1006-7043317, Vol 45 No. 7 July (2024)
- An efficient smart grid stability prediction system based on machine learning and deep learning fusion model, 2502-4752, Vol. 33, No. 2 February (2024)
- Optimal Visual Predictive Modelling Covid-19 Zones, 2147-6799, March, 12(3), 1529–1534 (2024)
- Developing a region-based energy-efficient IoT agriculture network using region-based clustering and shortest path routing to make a sustainable agriculture environment, 2665-9174, Volume 27, March (2023)
- An Efficient Cyber Security Intrusion Detection and Analysis using Deep Learning, 2455-3778, 9(04): 46-51, March (2023)
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International Journal of Science, Engineering and Technology