Faculty & Staff
Contact
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Email
Kraveendrareddy.cs.et@msruas.ac.in
- Websites
Mr. K Raveendra Reddy
Assistant Professor
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School/College
Faculty of Engineering and Technology
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Department
Department of Computer Science and Engineering
Working as an Assistant Professor in the Faculty of Engineering and Technology, CSE Department at Ramaiah University of Applied Sciences (RUAS).Actively engaged in teaching and curriculum delivery at undergraduate and postgraduate levels. Delivered corporate trainings and technical seminars with research publications in national and international venues. Research interests include Autonomous Vehicles, NLP, and Blockchain Technology. Currently pursuing a Ph.D. in Computer Science and Engineering from VIT
Qualifications
- PhD(Pursuing)
VIT University
- M.Tech
JNTUA , 2015
- B.Tech
JNTUA, 2011
- Internet of Connected Vehicles, NLP and Blockchain Technology
- Settu, S., Reddy, K.R., Muralidhar, A., Murugan, T. and Ramalingam, R. (2024) ‘Federated learning based smart transportation solutions: Deploying lightweight models on edge devices in the Internet of Vehicles’, in Advances in Intelligent Transportation Systems. Boca Raton: CRC Press, pp. 112–133. https://doi.org/10.1201/9781003482000-7.
- Recognized for consistent academic excellence and dedicated contributions to teaching and student mentoring.
- Successfully delivered corporate trainings and technical seminars to industry and academic audiences.
- Published research papers in reputed national and international journals and conferences.
- Actively contributed to curriculum development and academic quality initiatives.
- Involved in student management and administrative responsibilities, supporting institutional growth
International Conference Papers
- Reddy, K.R., Haritha, A. and Varshini, N. (2025) ‘YOLO-V9 based accident detection and object identification for proactive traffic’, Proceedings of the IEEE International Conference,
- Begum, M.S., Magaldene, A.H.S., Stalin, W.M., Reddy, K.R. and Madri, V.R. (2025) ‘Real-time clinical decision support in smart healthcare using a few-shot multimodal explainable natural language processing framework’, Proceedings of the IEEE International Conference,
International Journal Papers
- Reddy, K.R. and Muralidhar, A. (2023) ‘Machine learning-based road safety prediction strategies for Internet of Vehicles (IoV) enabled vehicles: A systematic literature review’, IEEE Access, 11, pp. 112108–112122. https://doi.org/10.1109/ACCESS.2023.3315852
- IEEE and AMIEE
ADDRESS
