C Murugamani

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About

C Murugamani is a researcher at the forefront of integrating artificial intelligence with wireless systems and energy-efficient hardware design. Their primary research areas span machine learning applications in robotic process automation, wireless communication optimization, and neuromorphic computing. Murugamani’s most impactful work, "Wireless Communication for Robotic Process Automation Using Machine Learning Technique" (2022), has garnered 25 citations and explores how machine intelligence—encompassing training, problem-solving, and priority setting—can enable robots to tackle complex industrial tasks, particularly in customer support and manufacturing. This work demonstrates a practical fusion of AI with automation to enhance operational efficiency. More recently, Murugamani has ventured into cutting-edge hardware design with "Design Of Efficient AI Accelerator Using Spiking Neural Network" (2025), focusing on developing energy-efficient accelerators through optimized network architectures that minimize power consumption while maximizing performance for high-demand AI solutions. Though newer, this contribution signals a significant push toward sustainable AI hardware. Murugamani’s research bridges the gap between intelligent software and efficient hardware, offering valuable insights for students and researchers exploring the future of AI-driven automation and neuromorphic computing.