Liu Fei is a doctor of engineering,a Germany doctor of natural science, a Professor and  a PhD Tutor. He graduated from Harbin Institute of Technology with a major in control science and engineering in 2006, worked at the Control and Simulation Center of Harbin Institute of Technology from 2006 to 2017, studied and worked at the Computer Science Department of the Brandenburg University of Technology in Germany from 2009 to 2012 and worked as a JSPS scholar at the Computer Science Department of Yamaguchi University in Japan from 2015 to 2016. He has long been engaged in research in modeling and simulation, Petri net, machine learning, artificial intelligence, etc. He has undertaken many scientific research projects such as the National Natural Science Foundation and the German Ministry of Education and Research and has published more than 50 papers.

E-mail:feiliu@scut.edu.cn

Research Direction:Machine Learning, Reinforcement Learning Artificial Intelligence Modeling and Simulation Petri Nets and Formal Methods

Representative Papers

[1] F Liu, M Heiner and D Gilbert: Fuzzy Petri nets for modelling of uncertain biological systems; Briefings in Bioinformatics, 2020, 21(1): 198-210 (JCR，IF: 9.101)

[2] Fei Liu*, Monika Heiner, David Gilbert. Coloured Petri nets for multilevel, multiscale, and multidimensional modelling of biological systems. Briefings in Bioinformatics. 2019, 20(3): 877-886 (JCR，IF: 9.101)

[3] Fei Liu*, Wujie Sun, Monika Heiner, David Gilbert. Hybrid modelling of biological systems using fuzzy continuous Petri nets. 22(1): 438-450. (JCR，IF: 9.101)

[4] Mostafa Herajy#, Fei Liu#, Monika Heiner. Efficient Modelling of Yeast Cell Cycles Based on Multisite Phosphorylation Using Coloured Hybrid Petri Nets with Marking-dependent Arc Weights. Nonlinear Analysis: Hybrid Systems. 2018, 27: 191-212.

[5] Haizhi Yang; Tengyun Wang; Xiaoli Tang; Han Yu; Fei Liu*; Hengjie Song*. Dynamically Optimizing Display Advertising Profits under Diverse Budget Settings. IEEE Transactions on Knowledge and Data Engineering. Online on 05 May 2021