Ting Liao (tliao)

Ting Liao

Assistant Professor

Charles V. Schaefer, Jr. School of Engineering and Science

Department of Systems Engineering

Education

  • Ph.D. (2020) Stanford University (Mechanical Engineering)
  • M.S. (2016) Stanford University (Mechanical Engineering)
  • B.S. (2014) University of Illinois at Urbana-Champaign (Mechanical Engineering)

Research

Dr. Liao conducts interdisciplinary research that encompasses human-center design, experimental psychology, and data mining. Her research aims to enable interactive products and product-based experiences that are governed by artificial intelligence and large masses of product usage data to be more trustworthy, socially desirable, and sustainable with data-driven methods.

Institutional Service

  • Institutional Review Board (IRB) Committee Member
  • SIAI Steering Committee Member
  • SE PhD Committee Chair
  • EM/SE Undergraduate Academic Committee Member
  • Design Structure Matrix (DSM) Conference Committee Member
  • PhD Committee Member
  • Non-tenure Track Hiring Comittee Member
  • Planning Committee of Frontiers of Technology Course Member

Professional Service

  • Design Theory and Methodology (DTM) Technical Committee Vice Chair
  • Research in Engineering Design Reviewer
  • Journal of Computing and Information Science in Engineering Reviewer
  • Journal of Mechanical Design Reviewer
  • Design Science Reviewer
  • International Design Engineering Technical Conferences & Computers and Information in Engineering Conference (IDETC/CIE) Conference Session Chair
  • Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT) Reviewer
  • National Science Foundation Panel Reviewer
  • DTM Long Impact Paper Award Committee Chair
  • Design Theory and Methodology (DTM) Technical Committee Secretary
  • Design Studies Reviewer
  • Design Society North America Chapter Co-Chair
  • National Science Foundation Panel Reviewer
  • IEEE ACM Conference on Connected Health Applications, Systems and Engineering Technologies (CHASE) Conference Session Chair

Appointments

Assistant Professor, Department of Systems Engineering (August 2020 - Present), Stevens Institute of Technology, Hoboken, NJ

Professional Societies

  • ACM – Association for Computing Machinery Member
  • Design Society Member
  • ASME – American Society of Mechanical Engineers Member

Grants, Contracts and Funds

CAREER: Modeling Trust Dynamics and System Adaptation for Human-AI Collaboration in Engineering Design (Sole PI), National Science Foundation, 2026-2031
Collaborative Research: Sizing Up Physical Computing to Explore Threshold Concepts in Cyber-Physical Systems (Co-PI), National Science Foundation, 2023-2026
ERI: Developing a Trust-supporting Design Framework with Affect for Human-AI Collaboration (Sole PI), National Science Foundation, 2023-2026

Selected Publications

Sun, J.; Liao, T. (2026). Examining Sensory Interference and Adaptive Feedback in VR-Based Learning for Cognitive Load Management. Computers in Human Behavior Reports. ScienceDirect.
Wang, B.; Asan, O.; Liao, T.; Mansouri, M. (2025). The Future Role of Clinical Artificial Intelligence: View of Chronic Patients. IEEE Transactions on Technology and Society. IEEE.
Wang, R.; Asan, O.; Liao, T. (2025). Investigating the Role of Wearable Devices in Facilitating Telehealth Adoption Among the Aging Population: Mediation Analysis of US National Data. JMIR Medical Informatics (vol. 13, pp. e68559).
Wang, R.; Rezaeian, O.; Asan, O.; Zhang, L.; Liao, T. (2024). Relationship Between Heart Rate and Perceived Stress in Intensive Care Unit Residents: Exploratory Analysis Using Fitbit Data. JMIR Formative Research (vol. 8, pp. e60759).
Wang, R.; Veera SCM; Asan, O.; Liao, T. (2024). A Systematic Review on the Use of Consumer-Based ECG Wearables on Cardiac Health Monitoring. IEEE Journal of Biomedical and Health Informatics (11 ed., vol. 28, pp. 6525-6537).
Wang, B.; Asan, O.; Liao, T.; Mansouri, M. (2024). The Future Role of Clinical Artificial Intelligence: View of Chronic Patients. IEEE Transactions on Technology and Society (1 ed., vol. 5). New York: IEEE.

Courses

E 355 Engineering Economics
EM 385 Innovative System Design
EM/SYS 622 Decision Making via Data Analysis
SYS 660 Decision and Risk Analysis