Fawad Naseer
Papers
9
Total Citations
161
H-Index
7
About
Fawad Naseer is a pioneering researcher at the intersection of robotics, artificial intelligence, and healthcare technology, with a specialized focus on telepresence robots, deep reinforcement learning (DRL), and human-robot interaction. His work addresses one of the most pressing challenges in remote robotics: communication time delay, a problem that significantly compromises the safety and effectiveness of teleoperated systems. Naseer has developed novel DRL-assisted frameworks that predict teleoperator behavior and compensate for latency in real time, representing a substantial advancement over conventional control methods. His contributions have found particularly compelling applications in healthcare, including IoT-enabled patient interaction, in-home elbow rehabilitation for brachial plexus injury patients, and elderly care through socially assistive robots. With a growing body of work accumulating over 160 citations, his research gained significant momentum following the COVID-19 pandemic, which dramatically accelerated interest in remote healthcare delivery. Beyond clinical settings, Naseer has extended his expertise to educational governance, exploring how telepresence robots combined with gamification can transform student engagement in AI-driven learning environments. His interdisciplinary vision positions him as a leading voice in the sustainable, technology-enabled future of human-robot collaboration.
Research Focus
Key Achievements
Top Papers
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- 5Telepresence Robots and Controlling Techniques in Healthcare System14 citations · 2022
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