Yingzi Lin

Professor,  Mechanical and Industrial Engineering
Affiliated Faculty,  Bioengineering

Contact

Social Media

Office

  • 357 SN
  • 617.373.8610

Lab

  • 239A FR
  • 617.373.4892

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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

  • 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

  • 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

College Research Initiatives

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
abstract photo of women doctor pointing to tablet with medical imagery around it

Faculty

May 11, 2021

Just What the Doctor Ordered

Human beings are some of the most complex systems in the world, and responses to illness, disease, and impairments manifest in countless different ways. When it comes to making sure that your system stays up and running, healthcare professionals typically have their own deep well of knowledge—but the addition of artificial intelligence tools offers unprecedented […]

chun-an "joe" chou

Faculty

Jan 08, 2020

MIE Faculty Awarded Tufts CTSI Pilot Studies Program Grant

MIE Assistant Professor Chun-An (Joe) Chou (PI), together with MIE Professor Yingzi Lin (Co-PI) and Bouve PTMRS Associate Clinical Professor Sheng-Che Yen (Co-PI), received the award from the 2020 Tufts CTSI Pilot Studies Program for the research project “Decoding Mutli-Modal Physiological Response Patterns for Assessing Post-Stroke Cognitive Impairment in VR-based Driving.”

top half of head with cap on and lab glasses as part of testing for pain research

Faculty

Oct 28, 2019

Improving Pain Assessment and Management

MIE Professor Yingzi Lin developed a Continuous Objective Multimodal Pain Assessment Sensing System (COMPASS) to allow patients to more accurately describe the level of pain they are in. A whole new way to measure pain Main picture caption: Yingzi LiYingzi Lin, a professor of mechanical and industrial engineering, measures a subject’s pain sensation by dipping […]

Faculty

Sep 07, 2018

$1.2M NSF Grant to Develop Objective Pain Assessment Sensing System

Yingzi Lin, MIE associate professor and director of the Intelligent Human-Machine Systems Lab, to lead $1.2M NSF grant to develop a Continuous Objective Multimodal Pain Assessment Sensing System (COMPASS) that improves pain assessment and management, reduces opioid dependency and advances the field of pain management research and patient safety.

Faculty

May 15, 2018

Improving Emergency Response Wayfinding

CEE Assistant Professor Qi “Ryan” Wang (PI) and MIE Associate Professor Yingzi Lin (co-PI) were awarded a $200K NSF grant for “Personalized Systems for Wayfinding for First Responders”.

Graduate

Apr 26, 2017

PhD student wins Volpe Best Presentation Award

IE PhD student Jing Xu won the "Volpe Best Presentation Award" at the 2017 New England Chapter Human Factors and Ergonomics Society student research conference.

Oct 27, 2016

2 ECE Professors Awarded NSF I-Corps Grants

ECE Associate Professors Denis Erdogmus and Yingzi Lin were each awarded $50K NSF I-Corps grants, which allow for the commercialization of technology previously supported by NSF.

Mar 04, 2015

Yingzi Lin Featured in Mechanical Engineering magazine

MIE Associate Professor Yingzi Lin was featured in the Tech Buzz/Hot Labs section of the Mechanical Engineering magazine for "Nano-Scale Transducers".

Aug 22, 2013

Lin Awarded $235K NSF Grant

MIE Associate Professor Yingzi Lin was awarded a $235K National Science Foundation grant to determine how to integrate human factors such as emotion, mental workload and attention into a Driver Assistance System. Dr. Lin's research interests include human-machine interactions, human friendly mechatronics and human factors in transportation and healthcare. She is also the director of […]

Mar 10, 2011

Congratulations COE Award Winners

Congratulations to the recipients of this year's College of Engineering Faculty and Staff awards.

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