Golsa Ghasemi

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About

Golsa Ghasemi is a researcher at the forefront of intelligent autonomous systems and industrial automation, with a focus on safety, quality, and adaptability. Her work centers on two critical challenges: ensuring the safe operation of autonomous mobile robots in human-shared environments, and managing software complexity in modern manufacturing systems. In her highly cited 2022 paper, "Situational Risk Assessment Design for Autonomous Mobile Robots," Ghasemi addresses the pressing need for dynamic risk evaluation as robots navigate unpredictable, heterogeneous spaces alongside humans—a contribution that has already garnered 6 citations and is foundational for next-generation safety protocols. Her 2023 work, "Quality Analysis Framework based on Complexity for Change Management Using Intelligent Digital Twin," introduces a novel framework that leverages digital twin technology to analyze software complexity in industrial automation, enabling higher flexibility, quality, and reduced time-to-market. By integrating situational risk assessment with intelligent digital twins, Ghasemi bridges the gap between autonomous mobility and software-defined manufacturing, offering practical solutions for adaptive, safe, and efficient industrial ecosystems. Her research is shaping how autonomous systems are deployed in real-world, human-centric environments.