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
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
Ma, T. & Nakamori, Y. (2008). Modeling uncertainties of technological learning with stochastic optimization. In: Proceedings, 9th International Symposium on Knowledge and Systems Sciences, 11-12 December.
Zhang, L., Nie, G., Ma, T., Liu, F., & Shi, Y. (2008). An intelligent process-oriented knowledge management system between human, process and knowledge. In: Proceedings, 9th International Symposium on Knowledge and Systems Sciences, 11-12 December.
Ma, T. & Nakamori, Y. (2008). Coping with uncertainties in endogenous technological change models. Workshop presentaion, IFIP WG 7.6 Workshop on Modelling and decision support for network-based services, 1-3 September 2008, Warsaw, Poland
Ma, T., Grubler, A. , Nakicenovic, N. , & Arthur, W.B. (2008). Technologies as agents of change: A simulation model of the evolving complexity of the global energy system. IIASA Interim Report. IIASA, Laxenburg, Austria: IR-08-021
Ma, T. & Grubler, A. (2008). The evolution of technological complexity: An agent-based simulation model of the global energy system. In: Modeling Environment-Improving Technological Innovations under Uncertainty. Eds. Golub, A.A. & Markandya, A., pp. 205-244 London, UK: Routledge. ISBN 978-0-415-46376-8