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
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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
Yu, Y., Zhou, L., Zhou, W., Ren, H., Kharrazi, A. , Ma, T., & Zhu, B. (2017). Decoupling environmental pressure from economic growth on city level: The Case Study of Chongqing in China. Ecological Indicators 75 27-35. 10.1016/j.ecolind.2016.12.027.
Chen, H. & Ma, T. (2017). Optimizing systematic technology adoption with heterogeneous agents. European Journal of Operational Research 257 (1) 287-296. 10.1016/j.ejor.2016.07.007.
Shchiptsova, A., Zhao, J., Grubler, A. , Kryazhimskiy, A., & Ma, T. (2016). Assessing historical realibility of the agent-based model of the global energy system. Journal of Systems Science and Systems Engineering 25 (3) 326-350. 10.1007/s11518-016-5303-7.
Zhao, J. & Ma, T. (2016). Optimizing the initial setting of complex adaptive systems-optimizing the layout of initial AFVs stations for maximizing the diffusion of AFVs. Complexity 21 (1) 275-290. 10.1002/cplx.21742.
Zhao, J. & Ma, T. (2016). Optimizing layouts of initial AFV refueling stations targeting different drivers, and experiments with agent-based simulations. European Journal of Operational Research 249 (2) 706-716. 10.1016/j.ejor.2015.08.065.