Papers
1
Total Citations
31
H-Index
1
About
Saurabh Adhikari is a rising researcher at the forefront of human-computer interaction (HCI), machine learning, and the Internet of Things (IoT). His most-cited work, “A Novel Machine Learning–Based Hand Gesture Recognition Using HCI on IoT Assisted Cloud Platform” (2023), has already garnered 31 citations, reflecting its timely impact on making gesture-based interfaces more intuitive and practical. Adhikari’s major contribution lies in integrating machine learning models with IoT and cloud platforms to enable seamless, real-time hand gesture recognition—a critical step toward natural, contactless human-machine interaction. By addressing the challenges of wearable sensor data analysis and computational efficiency, his research paves the way for smarter assistive technologies, smart home controls, and immersive virtual environments. His work stands out for its practical approach to bridging the gap between complex AI algorithms and everyday usability. As a scholar deeply engaged with the intersection of AI, IoT, and user-centric design, Adhikari is helping shape a future where machines understand human intent more naturally. For students and researchers exploring gesture-based interfaces or edge AI, his work offers a compelling blueprint for innovation.
Research Focus
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Top Papers
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