Dr. Suhas S is an accomplished academic and researcher in the field of Computer Science and Engineering, with strong expertise in cloud computing and cybersecurity. His research focuses on developing secure, scalable, and efficient cloud-based systems that address key challenges in data protection, network resilience, and distributed computing environments. With over fifteen years of combined academic and research experience, he has contributed to the advancement of computational technologies through publications in international and national journals, as well as conference presentations. His work emphasizes the intersection of network engineering, cybersecurity frameworks, and intelligent computing architectures aimed at enhancing data privacy and system integrity in cloud infrastructures. He has also been actively involved in guiding students and participating in institutional research initiatives, fostering innovation and technical proficiency among emerging engineers. As a member of IEEE, Mysore Section, he has delivered numerous talks on emerging technologies, including image processing, cloud computing, and cybersecurity, demonstrating his commitment to academic dissemination and professional engagement. His interdisciplinary approach integrates theoretical principles with applied research, promoting advancements in secure cloud environments and next-generation computing systems. Through his scholarly contributions and teaching excellence, Dr. Suhas continues to play a significant role in shaping future developments in computer science education and research, particularly in domains involving secure computing and advanced network technologies.
Profile: Google Scholar
Featured Publications
Suhas, S., & Venugopal, C. R. (2017). MRI image preprocessing and noise removal technique using linear and nonlinear filters. In Proceedings of the 2017 International Conference on Electrical, Electronics, Communication, Computer, and Optimization Techniques (ICEECCOT) (pp. 81–86). IEEE.
Suhas, S., & Venugopal, C. R. (2018). An efficient MRI noise removal technique using linear and nonlinear filters. International Journal of Computer Applications, 179(15), 17–20.
Chaturvedi, A., Suhas, S., Shivani, J. L. D., Raja, C., Soni, U., & Natrayan, L. (2025). Enhancing IoT network security: A double decker convolutional neural network with Brown-Bear optimization for intrusion detection. In Proceedings of the 2025 International Conference on Inventive Computation Technologies (ICICT). IEEE.
Suhas, P. K., & Lokesh, S. (2024). The evolution of forensic medicine in the digital era: Enhancing evidence collection and analysis. International Journal of Medical Toxicology & Legal Medicine, 27(4), 357–363.
Suhas, S. D. C. R. V. (2021). Feature extraction and classification of MRI using hybrid RBF kernel and SVM. International Journal of Scientific Research in Computer Science, Engineering and Information Technology.