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About

Sami Al Issa is a control systems researcher whose work sits at the intersection of adaptive control theory, networked control systems, and robotics. His research primarily focuses on event-triggered control strategies — a resource-efficient paradigm that updates control signals only when necessary — applied to nonlinear uncertain systems operating under real-world constraints such as input delays and limited communication bandwidth. Al Issa's most influential contribution, his 2021 work on hybrid position-force control for robot-assisted ultrasonic examination systems (45 citations), demonstrates his ability to translate advanced control theory into practical medical robotics applications. His foundational 2019 paper on improved event-triggered adaptive control of nonlinear networked systems (33 citations) addressed the critical challenge of limited computational and communication resources in modern networked control systems, a problem of growing industrial relevance. Across his body of work, Al Issa has made sustained contributions to the control of mobile robotic systems, employing backstepping and adaptive techniques to handle parameter uncertainties and nonholonomic dynamics in networked environments. With over 140 cumulative citations, his research offers practical and theoretically rigorous solutions to challenges that are central to deploying autonomous robotic systems in bandwidth-constrained, real-world settings — making his work highly relevant to students and engineers working in robotics, automation, and control engineering.