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About

Jingshan Li is a prominent researcher whose work sits at the intersection of manufacturing systems, human-robot collaboration, and automation science. His scholarship has made substantial contributions to understanding how collaborative robots (cobots) can be strategically integrated into production environments without sacrificing worker wellbeing or operational efficiency. Li's most influential work examines the complex trade-offs between productivity and ergonomic performance — both physical and mental workload — when deploying cobots in manufacturing settings. His 2022 study on human-robot collaboration (57 citations) and his 2021 integrated productivity-ergonomics model (34 citations) have become key references for researchers and practitioners navigating the human factors dimension of automation. Notably, he developed analytical frameworks for evaluating assembly-time performance and flow time in collaborative processes, offering systems-level insights rarely addressed in prior literature. Beyond human-robot collaboration, Li has contributed to green manufacturing automation and smart healthcare delivery systems, demonstrating the breadth of his expertise across applied automation domains. His editorial leadership at IEEE publications further underscores his standing in the field. With nearly 170 cumulative citations, Li's work is shaping how modern manufacturing systems are designed to be simultaneously efficient, sustainable, and human-centered — making his research essential reading for engineers and operations researchers alike.