Associate Professor | Nitte Meenakshi Institute of Technology | India
Dr. K. Sudhakar is an Associate Professor at Nitte Meenakshi Institute of Technology, specializing in Computer Science and Engineering with expertise in machine learning, artificial intelligence, the Internet of Things, and cloud security. He has held key academic leadership roles across reputed institutions, heading CSE departments, coordinating accreditation processes, guiding numerous student projects, and contributing to academic quality enhancement. His research encompasses intelligent systems, IoT and cloud security frameworks, deep learning models, and brain–computer interface applications, resulting in a robust publication record that includes journal articles, IEEE proceedings, international conferences, books, and book chapters. He has advanced technological innovation through multiple patents published and granted across India, the United Kingdom, and Germany. His academic contributions extend to serving as a session chair, program chair, and resource person for conferences, FDPs, and training programs, reflecting his active engagement in scholarly and professional communities. He holds memberships in recognized professional bodies and has earned several awards for excellence in research and education, alongside numerous certifications in emerging technologies. His research impact includes research citations, documents, and h-index that reflect his continual contribution and scholarly influence: 17 citations, 20 publications, and an h-index of 2.
Featured Publications
1. Sudhakar K., Niveditha S., Sumaiya N., Divyashree K., Geethanjali S.G., Revolutionizing communication protocols through IoT-enabled devices managed by brain–computer interfaces. Concepts and Applications of Brain-Computer Interfaces, 2025, pp. 63–78.
2. Lakshmi M., Sudhakar K., Manjunath P., Mazumder D., Tamilselvi B., Optimizing device performance with BCIs: a user-centric approach to brain data privacy. Concepts and Applications of Brain-Computer Interfaces, 2025, pp. 227–242.
3. Binu C.T., Kumar S.S., Rubini P., Sudhakar K., Enhancing cloud security through machine learning-based threat prevention and monitoring: the development and evaluation of the PBPM framework. Journal Publication, 2024, 19.
4. Sudhakar K.N., Shanthi M.B., Deepfake: an endanger to cyber security. International Conference on Sustainable Computing and Smart Systems, 2023, 17.
5. Ezhilarasu P., Prakash J., Krishnaraj N., Satheesh Kumar D., Sudhakar K., A novel approach to classify nondeterministic finite automata based on more than two loops and its position. SSRG International Journal of Computer Science and Engineering, 2014, 15.
Dr. K. Sudhakar’s research advances intelligent systems, IoT security, and machine learning frameworks that strengthen digital safety, enhance autonomous technologies, and support data-driven innovation. His contributions bridge academic research and real-world applications, enabling secure, scalable, and human-centric technological solutions for industry and society. He aims to drive impactful innovation that shapes resilient and intelligent digital ecosystems globally.