Ting Liao
Assistant Professor
Charles V. Schaefer, Jr. School of Engineering and Science
Department 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
- Institutional Review Board (IRB) Committee Member
- SIAI Steering Committee Member
- PhD Committee Member
- Non-tenure Track Hiring Comittee Member
- Planning Committee of Frontiers of Technology Course Member
- EM/ISE Academic Committee Member
Professional Service
- Design Society North America Chapter Co-Chair
- Design Studies Reviewer
- Journal of Mechanical Design Reviewer
- American Society of Mechanical Engineers Conference Session Chair
- Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT) Reviewer
- National Science Foundation Panel Reviewer
- Design Science Reviewer
- IEEE ACM Conference on Connected Health Applications, Systems and Engineering Technologies (CHASE) Conference Session Chair
Appointments
Assistant Professor, School of Systems and Enterprises (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
Selected Publications
Conference Proceeding
- Renji, N. M.; Veera, S. C.; Yan, B.; Liao, T. (2024). Augmenting Engineering Design With AI: Introducing the AI Design Assistant (AIDA). ASME 2024 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference (IDETC/CIE2024) Proceedings.
- Sun, J.; Liao, T. (2024). MazeMind: Exploring the Effects of Hand Gestures and Eye Gazing on Cognitive Load and Task Efficiency in an Augmented Reality Environment. Springer Nature.
- Wang, R.; Liao, T. (2024). Examining Social and Environmental Factors for Wearable Data Integrity: A Case Study of Health-Cps. ASME.
- 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).
- 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).
- 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.
- 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.
- 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.
- 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.
- 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
- Wang, R.; Veera, S. C.; 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.
- 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.
- 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).
- 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.
- 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
EM 385 Innovative System Design
EM/SYS 622 Decision Making via Data Analysis
SYS 660 Decision and Risk Analysis