Yingzi Lin
COE Distinguished Professor and Chair,
Mechanical and Industrial Engineering
Office
- 357 SN
- 617.373.8610
Lab
- 239A FR
- 617.373.4892
Research Focus
Human-machine systems, human factors, biosensing and smart systems, human state and behavior modeling, transportation safety, healthcare and patient safety, human-friendly mechatronics, and human-robot interaction
About
Dr. Yingzi Lin is a Professor of Mechanical and Industrial Engineering, and director of the Intelligent Human-Machine Systems (IHMS) Laboratory at Northeastern University, Boston, MA. Her area of expertise is in: intelligent human-machine systems, human factors and 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 research has been funded by 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 major industries such as GM and BOSE. She is a recipient of a few prestigious research awards, including NSF CAREER award and NSERC UFA (University Faculty Award). She has published over two hundred technical papers in referred journals, conference proceedings and book chapters.
Education
- PhD (2004), Mechanical Engineering, University of Saskatchewan
Honors & Awards
- Distinguished Faculty Award (2026)
- Excellence in Mentoring Award (2023)
- Outstanding Paper Award (2013), IEEE Computational Intelligence Society
- Excellence in Research Award (2012), Northeastern University’s Research, Innovation and Scholarship Expo (RISE)
- Early Career Development Award (2011), College of Engineering, Northeastern University
- CAREER Award (2010), National Science Foundation (NSF)
- Best Methodology Award (2005), Human Factors and Ergonomics Society New England Chapter
- University Faculty Award (2004), the Natural Sciences and Engineering Research Council of Canada (NSERC)
- Best Paper Award (1997), International Society of Terrain-Vehicle System (ISTVS)
Teaching Interests
- Human factors engineering
- Biosensors and human behavior measurement
- Human factors and ergonomics in design applications
Professional Affiliations
- American Society of Mechanical Engineers (ASME)
- Human Factors and Ergonomics Society (HFES)
- Institute of Electrical and Electronics Engineers (IEEE)
- Institute of Industrial Engineers (IIE)
- Society of Automotive Engineers (SAE)
- Society of Manufacturing Engineers (SME)
Research Overview
Human-machine systems, human factors, biosensing and smart systems, human state and behavior modeling, transportation safety, healthcare and patient safety, human-friendly mechatronics, and human-robot interaction
Selected Research Projects
- Engaging and Preparing the Offshore Wind Workforce through Hybrid Experiential Learning
- – co-PI, NSF
- Cognition-Driven Display for Navigation Activities (Cog DNA): Personalized Spatial Information System Based on Information Personality of Firefighters
- – Co-Investigator, National Institute of Standards and Technology
- Computational Methods for Continuous Objective Multimodal Pain Assessment Sensing System (COMPASS)
- – Principal Investigator, National Science Foundation
- Decoding Multi-Modal Physiological Response Patterns for Assessing Post-Stroke Cognitive Impairment in VR-based Driving
- – Co-Investigator, National Institutes of Health
Research Centers and Institutes
Department Research Areas
Selected Publications
- J. Du, Q. Zhu, Y. Shi, Q. Wang, Y. Lin, D. Zhao Cognition-Digital Twins (Cog-DT) for Personalized Information Systems of Smart Cities – A Proof of Concept, ASCE Journal of Management in Engineering, 36(2), 2020
- D. Schmidt, Y. Lin, Development Towards Simple Fabrication Steps for Flexible Optoelectronic Films, Thin Solid Films, 665, 2018, 59-67
- X. Wanyan, D. Zhuang, Y. Lin, X. Xiao, J.-W. Song Influence of Mental Workload on Detecting Information Varieties Revealed by Mismatch Negativity During Flight Simulation, International Journal of Industrial Ergonomics, 64, 2018, 1–7
- B. Liang, Y. Lin, Using Physiological and Behavioral Measurements in a Picture-Based Road Hazard Perception Experiment to Classify Risky and Safe Drivers, Transportation Research Part F: Psychology and Behaviour, 58, 2018, 93-105
- Y. Lin, J. Breugelmans, M. Iverson, D. Schmidt, An Adaptive Interface Design (AID) for Enhanced Computer Accessibility and Rehabilitation, International Journal of Human Computer Studies, 98, 2017, 14–23