- PhD (2020) Stanford University (Mechanical Engineering)
- MS (2016) Stanford University (Mechanical Engineering)
- BS (2014) University of Illinois at Urbana-Champaign (Mechanical Engineering)
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.
- EM/ISE Academic Committee Member
- Design Science Reviewer
- Journal of Mechanical Design Reviewer
- American Society of Mechanical Engineers Session chair
- American Society of Mechanical Engineers Review coordinator
Assistant Professor, School of Systems and Enterprises (August 2020 - Present), Stevens Institute of Technology, Hoboken, NJ
- Design Soceity Member
- ASME – American Society of Mechanical Engineers Member
- El-Dehaibi, N.; Liao, T.; MacDonald, E. F. (2021). Validating Perceived Sustainable Design Features Using a Novel Collage Approach. American Society of Mechanical Engineers.
- Liao, T.; MacDonald, E. F. (2021). Manipulating Users’ Trust of Autonomous Products With Affective Priming. Journal of Mechanical Design (5 ed., vol. 143, pp. 051402). American Society of Mechanical Engineers.
- 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.
E 355 Engineering Economics
EM/SYS 622 Decision Making via Data Analysis