Benjamin Goh

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About

Benjamin Goh is a multidisciplinary researcher whose work bridges the frontiers of smart urban mobility and surgical robotics. His key research areas include artificial intelligence in transportation, autonomous systems, and robotic-assisted medical procedures. Goh’s major contribution lies in pioneering the integration of AI and robotics into Singapore’s Mobility-as-a-Service (MaaS) framework, addressing the unique challenges of one of the world’s densest urban environments. His highly cited 2018 paper, “AI, Robotics and Mobility as a Service: the Case of Singapore” (15 citations), provides a foundational analysis of how autonomous technologies can optimize land use and traffic flow in a city-state where roads occupy only 12% of total land. In a striking parallel, Goh also advances surgical innovation through his work on robotic kidney autotransplantation in a porcine model (14 citations), developing a procedure-specific training platform for simulating robotic intracorporeal vascular anastomosis. This dual expertise—spanning autonomous urban systems and precision surgical robotics—demonstrates his versatility in applying robotic technologies to both societal infrastructure and life-saving medical procedures. Goh’s research continues to shape Singapore’s smart nation initiatives and surgical training paradigms.