•     Dr. Quan-lin Li received a doctorate degree from The Institute of Applied Mathematics, Chinese Academy of Sciences in 1998. After graduation, he was an associate researcher at the State Key Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences during July 1999 to December 2003. From December 2003 to October 2009, he was a Tsinghua University Industrial Associate professor in the Department of Engineering, and from October 2009 to January 2019, he was a professor at the School of Economics and Management of Yanshan University; now he is a professor and doctoral supervisor at the School of Economics and Management of Beijing University of Technology.

     

        Since September 1999, Quan-lin Li has successively studied in foreign universities such as Winnipeg University in Canada, Carleton University in Canada, University of Hong Kong, Hong Kong University of Science and Technology, Chinese University of Hong Kong, Complutense University of Madrid in Spain and University of Macau to engaged in random models, queuing networks, computer networks, network security, network resource management, network entropy decision-making, supermarket models, RFID technology and applications, Internet of Things, big data, cloud computing, blockchain, data center networks, smart energy networks , Medical service system, supply chain management and other aspects of cooperative research work.

     

         In terms of theoretical research, Li Quanlin proposed the RG-decomposition method of stochastic models in the world, and systematically developed the main basic theory of RG-decomposition of stochastic models; using RG-decomposition method to solve some important stochastic systems (such as queuing network, Computer network, network security, Internet of Things, cloud computing, blockchain and medical service system) performance evaluation, system decision-making and risk management and other key calculation issues, provided effective calculation methods for large-scale complex random models and develop corresponding Numerical calculation and analysis platform. This research result was published in 2010 by Springer in the English monograph "Constructive Computation in Stochastic Models with Applications: RG-Factorizations".

     

    　

  • • 1995/9-1998/5，Institute of Applied Mathematics, Chinese Academy of Sciences, Operations Research and Cybernetics, PhD

    • 1988/9-1991/5，Yanshan University, School of Science, Operations Research and Cybernetics, Master's degree

    • 1984/9-1988/7，Department of Mathematics, Hebei University, Basic Mathematics, Bachelor's degree

  • • 2019/1-Now， School of Economics and Management, Beijing University of Technology , Professor and Doctoral Supervisor

    • 2009/10-2019/1，School of Economics and Management, Yanshan University, Professor and Doctoral Supervisor

    • 2003/12-2009/10，Department of Industrial Engineering, Tsinghua University, Associate Professor

    • 1999/7-2003/12，State Key Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Associate Researcher

    • 1999/9-2000/5，School of Statistics, Winnipeg University, Postdoctoral Fellow

    • 1998/1-1999/7，The Open Laboratory of Complex Systems and Intelligent Science, Institute of Automation, Chinese Academy of Sciences, Postdoctoral Fellow

    • 1991/5-1995/9，School of Science, Yanshan University, Teaching Assistant and Lecturer

     

    • 2013/1-2013/3， Department of Statistics, The University of Hong Kong, Visiting Professor

    • 2012/1-2012/3， Department of Statistics, The University of Hong Kong, Visiting Professor

    • 2011/1-2011/3，Department of Computer Science and Engineering, The Chinese University of Hong Kong, Visiting Professor

    • 2010/1-2010/3，Department of Computer Science and Engineering, The Chinese University of Hong Kong, Visiting Professor

    • 2009/1-2009/3， Department of Computer Science and Engineering, The Chinese University of Hong Kong, Visiting Professor,

    • 2007/12-2008/3，Complutense University of Madrid, Visiting Professor, Visiting Professor

    • 2007/1-2007/3， Department of Electronic and Computer Engineering, Hong Kong University of Science and Technology, Visiting Professor

    • 2006/6-2006/9，Faculty of Business, University of Macau, Visiting Professor, Visiting Professor

    • 2005/1-2005/3，School of Business, Hong Kong University of Science and Technology, Visiting Professor

    • 2004/6-2004/9，Faculty of Business, University of Macau, Visiting Professor

    • 2003/5-2004/3，Department of Industrial Engineering and Logistics Management, Hong Kong University of Science and Technology, Visiting Professor

    • 2001/3-2003/5， School of Mathematics and Statistics, Carleton University, Visiting Professor

  •  

     [1] National Natural Science Foundation of China: Research on the Black Hole Effect, Multi-stable Domain and Network Resource Loss Evaluation of Large-         scale Networks, 2017.01-2020.12, 493,000 (direct funding, excluding indirect funding), under research.

     [2] National Natural Science Foundation of China: Non-linear Markov Process and Super-Exponential Structure of Supermarket Networks under Real-time           Queuing Control, 2015.01-2018.12, 620,000, finalized.

     [3] National Natural Science Foundation of China: Research on Random Load Balancing Strategy and Supermarket Model of Large-scale Parallel Queuing             Network, 2013.01-2016.12, 580,000, finalized.

     [4] National Natural Science Foundation of China: Research on multi-level approximation methods of self-similar network performance models, 2009.01-             2011.12, 200,000, finalized.

     [5] National Natural Science Foundation of China: Stochastic Models in Network Security and Key Techniques for Performance Evaluation, 2007.01-2009.12,         220,000, finalized.

     [6] National Natural Science Key Fund Project (Tsinghua Sub-project): Design, Construction, Modeling and Analysis of Engineering Gene Regulatory Networks,     2008.01-2011.12, 200,000, finalized.

     [7] National 973 Program (Tsinghua Sub-project): Stochastic Methods in Life Science and Network Technology, 2007.01-2011.12, 500,000, completed. The               provincial and ministerial fund responsible and undertaken in the past five years.

     [8] Hebei Natural Science Foundation Project: Research on multi-chain coupled queuing network and medical insurance incentive mechanism of hierarchical       diagnosis and treatment and two-way referral, 2018.01-2020.12, 50,000, in research.

     [9] Hebei Province Higher Education Innovation Team Leading Talent Program: Research on Non-linear Calculation of Large Supermarket Network and Risk           Management of Port Coal Supply Chain, 2014.01-2016.12, 200,000, finalized.

     [10] Hebei Provincial Natural Science Foundation Project: Research on hierarchical calculation and data management technology of multi-dimensional                 stochastic models in network security, 2012.01-2014.12, 50,000, finalized.

  • 1. Paper Awards

     

        2018

         Award Name：Best Paper Award,  The 7th International Conference on Computational Data and Social Networks.

         Paper Name：Blockchain queue theory

         Authors Name：Quan-Lin Li (Yanshan University) , Jing-Yu Ma（Yanshan University), Yan-Xia Chang（Yanshan University）

        2015

         Award Name：International INFORMS Excellent Paper Award

         Paper Name：Operational Performance Evaluation of Reverse Referral Partnership in the Chinese Healthcare System

         Authors Name：Na Li (Shanghai Jiao Tong University), Nan Kong (Purdue University),

                                    Quan-Lin Li (Yanshan University), Zhibin Jiang（Shanghai Jiao Tong University）

        2014

         Award Name：Second Prize of Hebei Province Science and Technology Award (Natural Science)

         Paper Name：Research on Basic Theory of Numerical Calculation of Multidimensional Random Model

         Award winner：Quan-Lin Li (Yanshan University), Chuang Li（Tsinghua University), Na Li (Shanghai Jiao Tong University), Nai-shuo Tian (Yanshan University)

       2013

         Award Name：The Leading Talents Program of the Innovation Team of Hebei Higher Education Institutions

         Paper Name：Research on Non-linear Calculation of Large Supermarket Network and Risk Management of Port Coal Supply Chain

         Award winner：Quan-Lin Li (Yanshan University)

        2007

         Award Name：Second Prize of Beijing Municipal Science and Technology (Natural Science)

         Paper Name：Basic research on computer network service quality (QoS) evaluation and control

         Award winner：Chuang Li, Feng-yuan Ren, Hao Yin, Quan-Lin Li 

        2005

         Award Name：First Prize of the Ministry of Education Science and Technology Award (Natural Science)

         Paper Name：Stochastic Model and Performance Evaluation of Computer System

         Award winner：Chuang Li, Quan-Lin Li, Hao Yin, Feng-yuan Ren, Zhi-guang Shan, Zhang-xi Tan, Ya-ya Wei, Yang Qu

        2004

         Award Name：New Century Outstanding Talents of the Ministry of Education

         Paper Name：Research on the Calculation Method of Random Network

         Award winner：Quan-Lin Li

     

    2. Courses Awards

     

        2008

         Award Name：Excellent courses in Beijing

         Course Name：Operations Research

         Award winner：Xiao-bo Zhao (Stochastic model), Hong-xuan Huang (Planning theory), Quan-Lin Li (Decision method)

     

  • 2012/12-Now, The 8th International Conference on Matrix-Analytic Methods in Stochastic Models (Technical Programme Committee), TPC member;　

     

    2007/7- Now, The 7, 8, 9, 11th International Workshop on Retrial Queues (Technical Programme Committee), TPC Chairman or member;　

     

    2015/1-Now, The 14, 15, 16, 17th International Conference (hosted in Russia) on Information Technology and Mathematical Modeling (International Program Committee), TPC member;

     

    2006/1-Now, The 3th to 13th International Conference on Queueing Theory and Network Applications (Technical Programme Committee), TPC member;

     

    2007/5-Now, associate editor of the "Journal of Applied Probability and Statistics";

     

    1999/7-Now, Vice Chairman of the Reliability Society of China Operations Research Society;

    2008/1-Now,  commentator of the American "Mathematical Reviews";

     

    The 8th International Workshop on Retrial Queues Conference, Chairman;

     

    The 12th International Conference on Queueing Theory and Network Applications Conference, Chairman.

    • Markov reward processes

      Markov reward processes can accurately model practical systems that evolve stochastically over time. A Markov reward process consists of two elements: A Markov environment and an associated reward structure. Chapter 11 in the book by Q.L. Li [2010] provides an excellent survey on this research direction.

      넶0 2021-08-04

    • Crucial generalization for the matrix-analytic methods

      Grassmann and Heyman [1993] gave the same factorization for an irreducible Markov chain of GI/G/1 type, while Heyman [1995] extended the result to an irreducible and positive recurrent Markov chain with infinitely-many states. Zhao [2000] obtained a UL-type RG-factorization for the matrix I-P for the first time. For a level dependent QBD process, Li and Cao [2004] first providedthe UL- and LU-types of RG-factorizations. Li and Zhao [2002, 2003, 2004] and Li and Liu [2004] constructed the two ty

      넶0 2021-08-04

    • Stochastic Models

      In the study of stochastic models, our works focus on setting up a unified theoretic framwwork for the RG-factorizations of, such as, Markov processes, Markov reward processes, Markov decision processes, stochastic games, evolutionary game and so forth.  See Li's 2010 book: Constructive Computation in Stochastic Models with Applications: The RG-

      넶0 2015-05-02

    • The censoring technique

      The censored Markov chain, also called watched Markov chain, was first considered
      by Lévy [1951, 1952, 1958]. Since then, the censored Markov chains have been very useful
      in the study of Markov chains. Kemeny, Snell and Knapp [1976] applied the censoring
      technique to show that each recurrent Markov chain has a positive regular measure
      unique to multiplication by a scalar. Freedman [1983] used the censoring technique
      to approximate countable Markov chains for the limiting behavior and also 

      넶0 2011-11-13

    • Sensitivity analysis

      Infinitesimal perturbation analysis is a sensitivity-analytic technique for discreteevent
      dynamic systems using single sample path performance measures. The basic approach is to obtain unbiased or strongly consistent estimates for derivatives of the stationary performance measures. For infinitesimal perturbation analysis of Markov chains, Cao, Yuan and Qiu [1996]
      proposed a novel approach in terms of the realization factor. Perturbation analysis of Markov chains is quite extensive, see the bo

      넶0 2011-11-13

    • Markov reward processes

      Markov reward processes can accurately model practical systems that evolve stochastically over time. A Markov reward process consists of two elements: A Markov environment and an associated reward structure. Chapter 11 in the book by Q.L. Li [2010] provides an excellent survey on this research direction.

      넶0 2011-11-13

Name:Quan-Lin Li  (李泉林)
Degree:  Ph D.
Position:  Professor
                  School of Economics and Management

Address:  Beiijing University of Technology, Beijing 100124, China
Phone:     86-335-8387663 
Fax :         86-335-8387663
Email:       liquanlin@tsinghua.edu.cn           liquanlin@bjut.edu.cn

Researchgate：https://www.researchgate.net/profile/Quan-Lin_Li dblp-Computer Science: https://dblp.uni-trier.de/pers/l/Li:Quan=Lin.html

Google Scholar Citations: http://scholar.google.ca/citations?user=W9cqwcsAAAAJ