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Tieju Ma
Guest Senior Research Scholar
Transformative Institutional and Social Solutions Research Group
Energy, Climate, and Environment Program
Guest Senior Research Scholar
Sustainable Service Systems Research Group
Energy, Climate, and Environment Program
Contact
Biography
Tieju Ma joined IIASA as a Research Scholar in January 2005. Before joining IIASA, he was a postdoctoral researcher at the School of Knowledge Science, Japan Advanced Institute of Science and Technology. He received his bachelor's degree in industrial engineering in 1998 from Dalian University of Technology, China and from the same university, he received his master's degree in systems engineering in 2000. In October 2003, he received his PhD in knowledge science from the Japan Advanced Institute of Science and Technology.Dr. Ma is currently a professor at the School of Business, East China University of Science and Technology, Shanghai, China. His research interests include modeling on technology (especially energy technology) transitions considering uncertainty, technological learning, and heterogeneous agents.
Last update: 16 JUL 2013
Publications
Zhao, J. & Ma, T. (2016). Optimizing layouts of initial refueling stations for alternative-fuel vehicles and experiments with agent-based simulations. Simulation 92 (3) 251-266. 10.1177/0037549716629726.
Zhang, Y., Chen, H., & Ma, T. (2016). System optimization model of adoption of a new infrastructure with multi-resource and multi-demand sites. Journal of Systems Science and Systems Engineering 25 (1) 62-76. 10.1007/s11518-016-5302-8.
Yu, Y., Ren, H., Kharrazi, A. , Ma, T., & Zhu, B. (2015). Exploring socioeconomic drivers of environmental pressure on the city level: The case study of Chongqing in China. Ecological Economics 118 123-131. 10.1016/j.ecolecon.2015.07.019.
Ma, T. (2015). Adoption of an emerging infrastructure with uncertain technological learning and spatial reconfiguration. European Journal of Operational Research 243 (3) 995-1003. 10.1016/j.ejor.2014.12.026.
Ma, T. (2015). Comparing Countries’/Areas’ Productive Knowledge with International Trade Data. In: KSS'2014. Proceedings of the 15th International Symposium on Knowledge and Systems Science. Eds. Wang, S., Nakamori, Z., & Huynh, V.N., pp. 111-116 Japan: JAIST Press. ISBN 978-4-903092-39-3