Andy Dong
208 Rogers Hall
Mechanical, Industrial & Manufacturing Engineering

Head, Professor of Mechanical Engineering



Ph.D. Mechanical Engineering, University of California, Berkeley
M.S. Mechanical Engineering, University of California, Berkeley
B.S. Mechanical Engineering, University of California, Berkeley

Research Interests

Andy Dong studies strategy in the design of engineered products and systems.


Andy Dong is head of the Oregon State University School of Mechanical, Industrial, and Manufacturing Engineering and a professor of mechanical engineering. His research addresses strategy in the design and innovation of engineered products and systems. His research aims to explain the impact of design strategy on productivity and the betterment potential of new products. His background in artificial intelligence in design has led him to collaborative work across a wide range of topics in behavioral economics, cognition, and computational fabrication. Considered around the world as an expert in design strategy, he has provided advice to major international telecommunications, financial services, and civil aviation companies. He was awarded an Australian Research Council Future Fellowship in 2010, one of the most prestigious research fellowships in Australia, and appointed the inaugural Warren Centre Chair for Engineering Innovation at the University of Sydney in 2012. Prior to joining Oregon State, he was the professor and chair of the MBA in Design Strategy program at California College of the Arts and an adjunct professor of mechanical engineering at the University of California, Berkeley. He is an associate editor for the journal Design Studies. He received his bachelor's, master's, and doctoral degrees in Mechanical Engineering from UC Berkeley.

Selected Publications

Heylighen, A., & Dong, A. (2019). To empathise or not to empathise? Empathy and its limits in design. Design Studies, 65, 107-124. doi: 10.1016/j.destud.2019.10.007

Dong, A., Garbuio, M., & Lovallo, D. (2016). Generative sensing: A design perspective on the microfoundations of sensing capabilities. California Management Review, 58 (4), 97-117. doi: 10.1525/cmr.2016.58.4.97

Dong, A., & Sarkar, S. (2015). Forecasting technological progress potential based on the complexity of product knowledge. Technological Forecasting and Social Change, 90, Part B, 599–610. doi: 10.1016/j.techfore.2014.02.009

Dong, A. (2005). The latent semantic approach to studying design team communication. Design Studies, 26(5), 445-461. doi: 10.1016/j.destud.2004.10.003