Rate My Professor Yingzi Lin
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Always goes the extra mile for students.
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About Yingzi
Dr. Yingzi Lin is the COE Distinguished Professor and Chair of the Department of Mechanical and Industrial Engineering at Northeastern University in Boston, Massachusetts, where she also directs the Intelligent Human-Machine Systems (IHMS) Laboratory. She earned her PhD in Mechanical Engineering from the University of Saskatchewan in 2004. Lin's research specializes in intelligent human-machine systems, human factors and their applications in healthcare and transportation safety, smart structures and systems, sensors and sensing systems, multimodality information fusion, driver-vehicle systems, patient safety, human-machine interface design, human-robot interaction, robotics, and human-friendly mechatronics. Her projects have received funding from prestigious organizations including the National Science Foundation (NSF), National Institute of Standards and Technology (NIST), Office of Naval Research (ONR), National Institutes of Health (NIH), Natural Sciences and Engineering Research Council of Canada (NSERC), and industry leaders such as GM and BOSE. Throughout her career at Northeastern University, she has advanced from Assistant Professor, as evidenced by her NSF CAREER Award in 2010, to her current leadership role as department chair.
Lin has been recognized with numerous honors, including the Distinguished Faculty Award in 2026, Excellence in Mentoring Award in 2023, Outstanding Paper Award from the IEEE Computational Intelligence Society in 2013, Excellence in Research Award from Northeastern University's Research, Innovation and Scholarship Expo in 2012, Early Career Development Award from the College of Engineering in 2011, NSF CAREER Award in 2010, Best Methodology Award from the Human Factors and Ergonomics Society New England Chapter in 2005, NSERC University Faculty Award in 2004, and Best Paper Award from the International Society of Terrain-Vehicle Systems in 1997. She has published over 200 technical papers in refereed journals, conference proceedings, and book chapters. Key publications include "A driver fatigue recognition model based on information fusion and dynamic Bayesian network" (Information Sciences, 2010), "Smart manufacturing based on cyber-physical systems and beyond" (Journal of Intelligent Manufacturing, 2019), "Neural-network-based adaptive leader-following control for multiagent systems with uncertainties" (IEEE Transactions on Neural Networks, 2010), "On the principle of design of resilient systems–application to enterprise information systems" (Enterprise Information Systems, 2010), and "Cognition-Digital Twins (Cog-DT) for Personalized Information Systems of Smart Cities – A Proof of Concept" (ASCE Journal of Management in Engineering, 2020). Her work has significantly influenced advancements in objective pain assessment, driver safety modeling, and human-centered engineering systems.
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