Muthayammal Engineering College | India
R. Kohila is a dedicated academician and researcher with strong expertise in deep learning, artificial intelligence, IoT-based systems, and advanced computing technologies. Her work spans innovative research, impactful publications, and contributions to emerging domains that integrate AI with real-world applications. She has presented her research at several reputed international conferences, covering domains such as energy-efficient wireless sensor networks, industrial IoT analytics, VoIP forensics, and AI-powered crop disease detection using edge devices and YOLOv5 classification. These works reflect her commitment to solving practical challenges through intelligent and scalable technological solutions. Kohila’s inventive mindset is evident in her portfolio of published patents, which include autonomous assistive devices for senior citizens, blockchain-based healthcare systems, AI-driven precision farming solutions, and cloud-based recovery forecasting models for post-surgery rehabilitation. She has also authored books on Cyber Forensics (2022), Deep Learning (2023), and Artificial Intelligence (2024), strengthening her role as a contributor to academic learning resources. Her professional development is enhanced by numerous certifications, including NPTEL, NITTT technical modules, full stack development, DevOps, and advanced research methodology. She has actively participated in specialized Faculty Development Programs on Microsoft Azure AI, IoT applications, cloud infrastructure, generative AI, deep learning, and AWS-based web solutions. Kohila’s excellence has been recognized through prestigious honors such as the University First Rank and Gold Medal from Periyar University, the Women Academic Achiever Award, Unity Champions Excellence Award, and multiple accolades for mentoring and academic performance. Driven by passion, innovation, and academic leadership, she continues to contribute meaningfully to the fields of AI, deep learning, and smart technologies.
Profile: Google Scholar
Featured Publications
1. Jovith, A. A., Ranganathan, C. S., Priya, S., Vijayakumar, R., Kohila, R., & Prakash, S. (2024). Industrial IoT sensor networks and cloud analytics for monitoring equipment insights and operational data. In Proceedings of the 10th International Conference on Communication and Signal Processing (ICCSP 2024).
2. Kohila, R. (2014). Efficient resource management mechanism with fault tolerant model for computational grids.
International Journal of Computer Applications Technology and Research, 3(12), 1–X.
3. Yeluripati Bala Tripura Sundari, K. N. V., Kohila, R., Sowmiya, M., Nagarjuna. (2025). Crop disease detection using edge IoT devices and YOLOv5-based classification. In Proceedings of the 3rd International Conference on Self Sustainable Artificial Intelligence Systems (ICSSAS 2025).
4. Hemavathi, S., Ganesan, J., Geetha, G., Kumar, K., & Kohila, R. (2023). Energy proficient and dependable cluster routing in wireless sensor network. In Proceedings of the International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics.
5. Kohila, R., Mohanasabari, M. M., Boopathi, K., & Dharunraj, A. (2022). Big data analytics in cyber security.
Journal of Engineering Technologies and Innovative Research, 9(12), 4–X.