Hamza Tahiri

Papers

Total Citations

H-Index

About

Hamza Tahiri is a rising researcher in robotics and intelligent control systems, whose work focuses on the intersection of metaheuristic optimization, artificial intelligence, and real-time hardware implementation. His most notable contribution is the development of the Chaos-Artemisinin Optimizer, a novel bio-inspired algorithm applied to PID tuning for a 3-DOF robotic manipulator, which has already garnered 6 citations since its 2025 publication. Tahiri’s research addresses critical challenges in mobile robot control, where he explores advanced AI-driven strategies to overcome the limitations of traditional tuning methods like Ziegler-Nichols in dynamic environments. A standout achievement is his pioneering work on FPGA-based contextual real-time optimization, where he introduces a framework that dynamically selects chaotic maps and adaptive metaheuristics for instantaneous, context-aware decision-making. This hardware-level approach represents a significant leap in enabling fast, flexible optimization for information-rich robotic systems. With his innovative algorithms and focus on practical deployment, Tahiri is establishing himself as a promising contributor to the fields of robotics, control engineering, and intelligent systems.