Associate Professor, School of Sustainable Engineering and the Built Environment, Ira A. Fulton Schools of Engineering
Del E. Webb School of Construction
Arizona State University
PO Box 870204
Tempe, AZ 85287-0204
- Senior Global Futures Scientist, Julie Ann Wrigley Global Futures Laboratory
- Associate Professor, School of Sustainable Engineering and the Built Environment, Ira A. Fulton Schools of Engineering
Dr. Chong's two research foci include, first, clustering, modeling and disseminating sustainable engineering knowledge, and, second, understanding and modeling the degredation and recovery processes (EDEC) of materials, products, buildings, infrastructure, and systems. His research crosses path with the following theories and concepts: (1) knowledge mining and modeling; (2) causality models between impacts and outcomes; (3) cloud technology; (4) BIM platform; (5) Big Data; (6) predictive analytics; (7) sustainability; (8) engineering knowledge; (9) information technology; (10) life cycle analysis; and (11) materials, products and systems behaviors. Sample research include: (1) Sustainable Design and Project Planning; (2) Eco-efficiency; (3) Technical Metabolism; (4) Energy Efficiency; (5) Sustainable Information Modeling; (6) Socio-Economics of Eco-Efficient Communities; (7) Corporate-Society Sustainability Interface; (8) Life Cycle Performance; (9) Building Information Modeling; (10) Social and Human Dimensions; (11) Carbon Management and Baseline Estimating; and (12) Carbon Taxation and Cap and Trade.
In addition, he also conducts research in Professional Development for the Estimating Professions, Business Operations, and Construction Productivity Research. Chong's publications are mainly in the areas of building defects, sustainability, lean and sustainability, and social-human dimensions.
- PhD, Civil Engineering, University of Texas-Austin, 2005
- MS, National University of Singapore, 1999
- BS, National University of Singapore, 1997
Arababadi, R., H. Naganathan, M. Saffari Pour, A. Dadvar, K. Parrish and O. Chong. 2021. Building stock energy modeling: Feasibility study on selection of important input parameters using stepwise regression. Energy Science & Engineering 9(2):284-296. DOI: 10.1002/ese3.847. (link )