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About

Dr. Guangdong Tian is a leading researcher at the forefront of intelligent manufacturing and remanufacturing, with a focused expertise in human-robot collaboration (HRC) and digital twin technology. His major contributions center on optimizing complex disassembly and assembly processes, particularly for spent lithium-ion batteries, by integrating human-centric design with advanced computational algorithms. Dr. Tian has pioneered the development of novel frameworks that combine digital twins with multi-objective evolutionary algorithms and discrete bees algorithms to solve critical problems in collaborative disassembly sequence planning and mixed-flow assembly line balancing under uncertainty. His work on "Integrated optimisation of human-robot collaborative disassembly planning and adaptive evaluation driven by a digital twin" has garnered 23 citations, while his research on HRC in assembly line balancing has received 22 citations, demonstrating significant impact in the field. Dr. Tian’s recent publications in 2025 further advance the state of the art by addressing interval type-2 fuzzy environments and partial destructive modes, showcasing his commitment to tackling real-world industrial challenges. His research is essential reading for students and engineers seeking to understand the future of sustainable, human-oriented intelligent manufacturing.