SRM Institute of Science and Technology | India
Dr. Rajesh Pandiyan is a dedicated researcher and academic with expertise spanning microbiology, biochemistry, materials engineering, and pharmaceutical technology. He has served in progressive teaching and research roles across leading institutions, contributing significantly to interdisciplinary advancements. His research journey includes extensive work in nanocomposite-based ultrafiltration membranes, magnetic nanomaterials for targeted drug delivery, medicinal plant-based therapeutics, and biochemical models for autoimmune and inflammatory diseases. He has also worked on environmental biotechnology, wastewater remediation, tissue engineering, and drug discovery. With a strong academic foundation built through doctoral and postgraduate training in microbiology, biochemistry, and chemistry, he has developed a wide research portfolio combining materials chemistry with biological applications. His scholarly contributions include 67 peer-reviewed research and review articles, supported by an H-index of 19, i10-index of 27, and more than 1300 citations, reflecting global recognition of his work. He has delivered invited talks, chaired scientific sessions, and served as a resource person for various scientific forums, in addition to contributing as an editorial member for reputed journals. His awards span excellence in research, oral and poster presentations, and international recognition for scientific contributions. Overall, his work integrates innovation and multidisciplinary approaches aimed at solving challenges in healthcare, environment, and materials science.
Profile: Google Scholar
Featured Publications
Vijayakumaran, C., Muthusenthil, B., & Manickavasagam, B. (2020). A reliable next generation cyber security architecture for industrial internet of things environment. International Journal of Electrical and Computer Engineering, 10(1), 387.
Alagurajan, M., & Vijayakumaran, C. (2020). ML methods for crop yield prediction and estimation: An exploration. International Journal of Engineering and Advanced Technology, 9(3), 1–5.
Karthikeyan, L., Vijayakumaran, C., Chitra, S., & Arumugam, S. (2021). Saldeft: Self-adaptive learning differential evolution based optimal physical machine selection for fault tolerance problem in cloud. Wireless Personal Communications, 118(2), 1453–1480.
Chinnappa Annamalai, H. K., Vijayakumaran, C., & Vijayakumar, P. (2023). Optimal ElGamal encryption with hybrid deep-learning-based classification on secure Internet of Things environment. Sensors, 23(12), 5596.
Sweetline, B. C., Vijayakumaran, C., & Samydurai, A. (2024). Overcoming the challenge of accurate segmentation of lung nodules: A multi-crop CNN approach. Journal of Imaging Informatics in Medicine, 37(3), 988–1007.