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About

Shabnam Tashakori is a researcher whose work spans the frontiers of robotics, structural health monitoring, and nonlinear control theory. Her research is distinguished by a dual focus: advancing the mathematical foundations of inverse problems in impact force identification, and pioneering geometric control strategies for bio-inspired robotic locomotion. In her landmark 2025 review, "Advances in impact force identification," she delivers a comprehensive taxonomy of state-of-the-art techniques for reconstructing impact forces—a critical inverse problem with applications in aerospace, automotive, and civil infrastructure systems. This work has already garnered 5 citations, reflecting its immediate impact on the field. Earlier, Tashakori made notable contributions to the control of underactuated brachiation robots, which mimic the swinging locomotion of apes. Her 2014 paper on geometric control using the Controlled Lagrangians method, and her 2018 extension integrating Particle Swarm Optimization, demonstrate her ability to blend rigorous theory with computational intelligence. These studies, with 4 and 3 citations respectively, showcase her innovative approach to stabilizing complex, underactuated systems. Tashakori’s work is essential reading for anyone interested in the intersection of advanced control theory and real-world engineering challenges.