Yingzi Lin

Professor,  Mechanical and Industrial Engineering
Affiliated Faculty,  Bioengineering


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  • 357 SN
  • 617.373.8610


  • 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


  • 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

College Research Initiatives

Selected Publications

  • M. Yu, Y. Lin, J. Breugelmans, X. Wang, G. Gao, X. Tang, A Spatial-Temporal Trajectory Clustering Algorithm for Eye Fixations Identification, International Journal of Intelligent Data Analysis, 20(2), 2016, 377-393
  • P. Wan, C. Wu, Y. Lin, X. Ma, Z. Huang, A Recognition Model of Driving Anger Based on Belief Rule Base, Transportation Systems Engineering and Information, 15(5), 2015, 1-8
  • M. Yu, Y. Lin, X. Wang, D. Schmidt, Y. Wang, Human-Robot Interaction Based on Gaze Gesture for the Drone Teleoperation, Journal of Eye Movement Research, 7(4), 2014, 1-14
  • S. Radhakrishnan, Y. Lin, A. Zeid, S. Kamarthi, Design, Evaluation and Implementation of Gesture Based Functions for CAD Modeling System Using the Multitouch Interface, International Journal of Human-computer Studies, 71(3), 2013, 261-275
  • H. Cai, Y. Lin, Coordinating Cognitive Assistances with Cognitive Engagement Control Approaches in Human-Machine Interactions, IEEE Transactions on Systems, Man and Cybernetics Part A: Humans and Systems, 42(2), 2012, 286-294
  • Y. Lin, A Natural Contact Sensor Paradigm for Non-intrusive and Realtime Sensing of Bio-Signals in Human-Machine Interactions, IEEE Sensors Journal, Special Issue on Cognitive Sensor Networks, 11(3), 2011, 522-529
  • G. Yang, Y. Lin, P. Bhattacharya, A Driver Fatigue Recognition Model Based on Information Fusion and Dynamic Bayesian Network, Information Sciences, 180, 2010, 1942-1954
chun-an "joe" chou


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.”

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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 […]


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.


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”.


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.

Feb 01, 2010

Lin Awarded NSF CAREER Grant

Yingzi Lin, Assistant Professor of Mechanical & Industrial Engineering, has received a $400K NSF CAREER for “Bridging Cognitive Science and Sensor Technology: Non-intrusive and Multi-modality Sensing in Human-Machine Interactions”.

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