Rate My Professor Andy Dong

Andy Dong is the School Head of the School of Mechanical, Industrial, and Manufacturing Engineering and a professor of mechanical engineering at Oregon State University. He earned his B.S., M.S., and Ph.D. in mechanical engineering from the University of California, Berkeley. Prior to his current roles at Oregon State, Dong was professor and chair of the MBA in Design Strategy program at California College of the Arts. He also held an adjunct professorship in mechanical engineering at the University of California, Berkeley and was appointed the inaugural Warren Centre Chair for Engineering Innovation at the University of Sydney in 2012. Dong serves as an associate editor for the journal Design Studies.

Dong's research focuses on strategy in the design and innovation of engineered products and systems, including the impact of design strategy on productivity and the betterment potential of new products. His expertise extends to artificial intelligence in design, with collaborative work across behavioral economics, cognition, and computational fabrication. He was awarded an Australian Research Council Future Fellowship in 2010, recognized as one of Australia's most prestigious research fellowships. Dong is regarded worldwide as an expert in design strategy and has provided advice to major international telecommunications, financial services, and civil aviation companies. Key publications include Robinson, M., Taube-Adams, B., Kang, S., & Dong, A. (2023), 'A Functional Perspective on the Emergence of Dominant Designs,' Journal of Mechanical Design, 146(5); Trautschold, O., & Dong, A. (2022), 'Additive Manufacturability Analysis of Multiscale Aperiodic Structures: A Statistical Mechanics Approach,' Journal of Mechanical Design, 145(1); Chandra, P., & Dong, A. (2022), 'Valuation of energy harvesting technologies — Insights for technology managers,' Energy Reports, 8, 6987-6998; 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; and Dong, A., & Sarkar, S. (2014), 'Generalized design knowledge and the higher-order singular value decomposition,' in Design Computing and Cognition '12, pp. 415–432.