Tushar Kanti Gangopadhayay
Ramakrishna Mission Vivekananda Educational and Research Institute
Papers
1
Total Citations
31
H-Index
1
About
Dr. Tushar Kanti Gangopadhayay is a leading researcher at the intersection of human-computer interaction (HCI), the Internet of Things (IoT), and machine learning. His most cited work, "A Novel Machine Learning–Based Hand Gesture Recognition Using HCI on IoT Assisted Cloud Platform" (2023, 31 citations), exemplifies his core contribution: engineering intelligent, cloud-connected systems that interpret human gestures for seamless device control. By integrating wearable sensors with advanced machine learning models, Dr. Gangopadhayay addresses a critical challenge in HCI—making interactions with technology more natural and intuitive. His research not only advances the theoretical frameworks of gesture recognition but also provides practical, scalable solutions for IoT-assisted platforms, enabling applications from smart home automation to assistive technologies. With a growing citation impact, his work is shaping the future of how humans communicate with machines, bridging the gap between physical gestures and digital commands. Dr. Gangopadhayay’s innovative approach continues to inspire new directions in pervasive computing and intelligent interface design.
Research Focus
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Top Papers
- 1