M. Humayun Kabir
Papers
2
Total Citations
18
H-Index
2
About
M. Humayun Kabir is a researcher at the forefront of pervasive computing and wearable technology, with key contributions spanning human activity recognition and soft robotics. His work on the Log-Viterbi algorithm applied to second-order hidden Markov models (2018, 11 citations) advanced the accuracy of human activity recognition, a critical component for assistive living, elderly care, and healthcare monitoring. More recently, Kabir has pioneered flexible electronics, co-developing a fabric-integrated PAAm–LiCl hydrogel pressure sensor (2025, 7 citations) that combines high sensitivity with durability for wearable and soft robotics applications. This innovation holds promise for human–machine interfaces and real-time health monitoring. With over 18 citations across his most-cited works, Kabir’s research bridges algorithmic theory and practical sensor design, demonstrating impact in both computational modeling and materials engineering. His work is particularly notable for addressing real-world challenges in ambient intelligence and assistive technologies, making him a rising voice in the intersection of AI-driven recognition systems and flexible electronics.
Research Focus
Key Achievements
Top Papers
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