L. (Liangcheng) Ye Msc

Position:
  • PhD researcher
Expertise:
  • Environmental input-output analysis
  • Network analysis
  • Complex systems


Telephone number: +31 (0)71 527 7489
E-Mail: l.ye@cml.leidenuniv.nl
Faculty / Department: Wiskunde en Natuurwetenschappen, Centrum voor Milieuwetenschappen Leiden, CML/Industriele Ecologie
Office Address: Van Steenis gebouw
Einsteinweg 2
2333 CC Leiden
Room number A308


Professional Experience

Liangcheng Ye received the BE degree in Computer Science and Technology from the Zhejiang University of Technology in 2011 and received  his MS degree in Computer software and Theory from Guangxi University in 2015, with research on graph theory, network fault tolerance, and system fault diagnosis.

He joined the Department of Industrial Ecology of Institute of Environmental Science (CML) of Leiden University in September 2015 to pursue his PhD degree.

Research topic

His research topic is understanding the environmental resilience of economic networks by means of computer modeling and analysis.

The aim of research project is to develop methods and a general framework for modelling and analyzing the sensitivity and resilience of national or global economy due to the changes in supply of natural resources such as energy and rare minerals. The framework will be designed by combining methods from complex network theory and from disaster analysis to a large dataset that describe the global economy and natural resource usage such as EXIOBASE. Combining complex network theory and global economic input-output data and environmental data to model and to analyze the sensitivity in the economic process is a challenging new area. It is a multi-disciplinary research which requires the application of mathematics (such as complex network theory) and computer science (such as data modelling and software development) to the economic and environmental problems. Case studies using economic networks of both China and European Union, and environmental applications such as water scarcity or critical raw materials, will be carried out to demonstrate and evaluate the theory and the (software) framework developed in this research.

Last Modified: 29-03-2016