Rate My Professor S Aramuthakannan

Dr. Aramuthakannan's research centers on applied mathematical methods, including fuzzy logic, swarm optimization, deep learning integration, and operations research. His publications appear in international journals and address practical applications such as network routing, recommendation systems, and hardware security. Key publications include: "Enhanced Cluster Head Selection and Routing in Wireless Sensor Networks Using Fuzzy Logic and Adaptive Cat Swarm Optimization" (International Journal of Intelligent Engineering and Systems, 2024); "Movie recommendation system using taymon optimized deep learning network" (Journal of Intelligent & Fuzzy Systems, 45(5), 7675-7690, 2023); "Movie recommendation system via fuzzy decision making based dual deep neural networks" (Journal of Intelligent & Fuzzy Systems, 44(3), 5481-5494, 2023); "Secured Hardware Platform for FPGA AI Model Protection" (ICTACT Journal of Microelectronics, 2023); "Optimization of the Production Schedule of Movie Making Using Mathematical Programming" (IOSR Journal of Mathematics, 2022); "Data Analytics Using Machine Learning For Iot-Enabled Healthcare Systems" (2022); and "Revised distribution method of finding optimal solution for transportation problems" (IOSR Journal of Mathematics, 4(5), 39-42, 2013). These works demonstrate his expertise in developing algorithmic solutions for complex optimization challenges in technology domains. He maintains active profiles on Google Scholar and ORCID (0000-0002-5088-1446).