Ahmed Barnawi
Papers
7
Total Citations
82
H-Index
5
About
Ahmed Barnawi’s research lies at the intersection of robotics, artificial intelligence, and human-centered computing, with a particular focus on assistive technologies and autonomous coordination. His most impactful work, “Deep interaction: Wearable robot-assisted emotion communication” (32 citations), pioneers the use of wearable robots to enhance emotional expression and perception in children with Autism Spectrum Disorders—a contribution that bridges robotics and therapeutic intervention. Barnawi has also advanced foundational problems in multi-robot systems, including energy-balanced dispatch and sensor relocation, as seen in his papers on robot coordination (15 citations) and market-based sensor relocation (8 citations). More recently, he has explored edge computing for intelligent robotic platforms (13 citations) and the tactile internet of federated things (8 citations), addressing the computational demands of real-time, distributed robotic systems. His development of the Advanced Search and Find System (ASAFS) on the MAUVET testbed further demonstrates his commitment to practical, IoT-integrated robotic solutions. With a career spanning over a decade, Barnawi’s work consistently pushes the boundaries of how robots can interact with humans and their environments, earning him recognition as a key contributor to socially aware and autonomously coordinated robotic systems.
Research Focus
Key Achievements
Top Papers
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