Hossam A. Gabbar

Papers

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About

Dr. Hossam A. Gabbar is a leading researcher at the intersection of intelligent automation, robotics, and sustainable energy systems. His work focuses on developing autonomous solutions for industrial challenges, with key contributions in robotic painting automation, connected and automated vehicles (CAVs), and bioinspired robotic control. His most cited paper, "ARSIP: Automated Robotic System for Industrial Painting" (2024, 8 citations), addresses the critical need for precise, safe paint application by creating an autonomous system that programs diverse product trajectories—reducing human risk and improving accuracy. Dr. Gabbar also explores the deployment and performance evaluation of CAVs (2022, 2 citations), advancing smart transportation infrastructure. His recent work on "Bioinspired optimization on controlled anthropomorphic manipulator robots" (2025, 1 citation) integrates biological processes like bacterial foraging and swarm behavior to solve high-dimensional, nonlinear control problems in engineering. This innovative approach enhances robotic adaptability and efficiency. Dr. Gabbar’s research has significant implications for manufacturing, logistics, and autonomous systems, bridging theoretical optimization with practical robotic applications. His contributions are shaping the future of intelligent automation, making him a notable figure in robotics and control systems.