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Assistant ProfessorWood Science
Faculty of Forestry
Dr. Qingshi Tu’s research combines industrial ecology principles with computational modeling to promote the sustainable development of bioeconomy. Specific foci include; (i) Transforming the information of engineering systems through process simulation, statistical methods and machine learning for sustainability modeling applications (e.g., life cycle assessment, techno-economic analysis, material flow analysis); (ii) Building models and tools for analyzing the environmental, economic and social impacts of emerging technologies for bioenergy, biofuels and bioproducts at different scales; and (iii) Investigating the synergies and tradeoffs between bioeconomy, circular economy and climate change mitigation through a system modeling approach.
Linking service provision to material cycles: A new framework for studying the resource efficiency–climate change (RECC) nexusJournal of Industrial Ecology, 2020