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About

Iman Zare’s research bridges the frontiers of control theory and bio-inspired robotics, with a focus on intelligent systems that operate under real-world constraints. His most cited work, “T-S fuzzy tracking control of nonlinear constrained time-delay systems using a reference-management approach” (2021, 15 citations), introduces a novel framework for ensuring stable tracking in complex nonlinear systems—a critical contribution for applications in autonomous vehicles and industrial automation. Zare further advances fault-tolerant control through his 2023 study on active fault-tolerant tracking for linear discrete-time systems, demonstrating how controller management schemes can maintain performance despite system failures. On the bio-inspired side, Zare’s 2015 paper on modeling *Thunnus Albacares* (tuna) and inchworm-gammarus locomotion with micro actuators showcases his creativity in merging multiple biological designs into a single robotic structure, addressing limitations in multi-functional underwater robots. His complementary work on micro-embedded skimmers for autonomous underwater micro-robots (2015) explores ICPF actuators for smooth, multi-DOF underwater movement. With a growing citation record and a unique ability to synthesize control theory with biomimetic engineering, Zare is establishing himself as a versatile researcher whose work has direct implications for resilient, nature-inspired autonomous systems.