Ting Liao (tliao)

Ting Liao

Assistant Professor

School of Systems and Enterprises

Education

  • PhD (2020) Stanford University (Mechanical Engineering)
  • MS (2016) Stanford University (Mechanical Engineering)
  • BS (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

  • PhD Committee Member
  • Non-tenure Track Hiring Comittee Member
  • EM/ISE Academic Committee Member

Professional Service

  • Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT) Reviewer
  • Design Studies Reviewer
  • Journal of Mechanical Design Reviewer
  • Design Science Reviewer
  • The 16th International Conference on Brain Informatics Conference session chair
  • IEEE ACM Conference on Connected Health Applications, Systems and Engineering Technologies (CHASE) Conference session chair
  • American Society of Mechanical Engineers Conference session chair
  • American Society of Mechanical Engineers Review coordinator

Appointments

Assistant Professor, School of Systems and Enterprises (August 2020 - Present), Stevens Institute of Technology, Hoboken, NJ

Professional Societies

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

Selected Publications

Conference Proceeding

  1. Liao, T.; Yan, B. (2023). Let’s chat if you are unhappy – The effect of emotions on interaction experience and trust toward empathetic chatbots. Proceedings of the ASME 2023 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference.
  2. Wen, S.; Yang, S.; Ju, X.; Liao, T.; Liu, F. (2023). Prediction of Cannabis Addictive Patients with Graph Neural Networks. Brain Informatics. BI 2023. Lecture Notes in Computer Science (vol. 13974).
  3. Wang, Y.; Liao, T. (2023). A Edge-computing Framework with AR Applications for Telehealth. IEEE/ACM Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE).
  4. Liao, T.; She, J. (2023). How Does Virtual Reality (VR) Facilitate Design? A Review of VR Usage in Early-Stage Engineering Design. Proceeding of the 24th International Conference on Engineering Design.
  5. Wang, R.; Wang, Y.; Liao, T. (2023). Identifying and Evaluating the Effects of User Scenarios on the Data Integrity of Wearable Devices. Proceeding of the Conference on Systems Engineering Research.
  6. Liao, T.; Yan, B. (2022). Are you feeling Happy? The Effect of Emotions on People's Interaction Experience Toward Empathetic Chatbots. St. Louis, Missouri: Proceedings of the ASME 2022 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference.
  7. El-Dehaibi, N.; Liao, T.; MacDonald, E. F. (2021). Validating Perceived Sustainable Design Features Using a Novel Collage Approach. American Society of Mechanical Engineers.

Journal Article

  1. Dehaibi, N. .; Liao, T.; MacDonald, E. . (2021). Validating Perceived Sustainable Design Features Using a Novel Collage Approach. Journal of Mechanical Design (3 ed., vol. 144, pp. 031404). The American Society of Mechanical Engineers (ASME).
  2. Liao, T.; MacDonald, E. F. (2021). Priming on Sustainable Design Idea Creation and Evaluation. Sustainability (9 ed., vol. 13, pp. 5227). Multidisciplinary Digital Publishing Institute.
  3. Liao, T.; MacDonald, E. F. (2020). Manipulating Users’ Trust of Autonomous Products With Affective Priming. Journal of Mechanical Design (5 ed., vol. 143, pp. 051402). American Society of Mechanical Engineers.

Courses

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