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郭永江

發布者: [發表時間]:2011-03-22 [來源]: [瀏覽次數]:

數學系


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   姓   名:     郭永江

   職   稱:     教授

   職   務:    

   辦公室:     主樓1018

   辦公電話:62281800

   電子郵件:yongerguo@bupt.edu.cn

個人簡介

郭永江,1975年生人,北京郵電大學理學院教授,博士生導師,北京郵電大學學術委員會成員。主要研究方向是隨機運籌學,具體為隨機排隊網絡,隨機服務管理,隨機庫存和供應鏈等應用概率相關問題,在此方向曾主持四項國家自然科學基金項目,歡迎對此方向感興趣的同學報考我的碩士和博士(2020227日更新)。


教育工作經歷 education and work experience

2006/06,中國科學院數學與系統科學研究院獲運籌學與控制論專業博士(I received my Ph.D in Operations Research and Control Theory from Institute of Applied Mathematics, AMSS, CAS in June 2006)

2006/07—2008/12,北京郵電大學理學院講師 (I was an Assistant Professor in School of Science at Bejing University of Posts and Telecommunications (BUPT) from July 2006 to December 2008)

2008/12—2016/12,副教授 (I was an Associate Professor in School of Science at BUPT from December 2008 to December 2016)

201612至今,教授 (I am a Professor in School of Science at BUPT from December 2016)


訪學經歷 (Visiting experience)

2009/07/01—8/01,加拿大Dalhousie大學工業工程系(Industrial and Systems Engineering Department at Dalhousie University)

2010/12/01--15,新加坡國立大學商學院 (Business School at National University of Singapore)

2013/01/26—2014/01/26,美國北卡州立大學工業工程系 ( Industrial and Systems Engineering Department at NC State University)

2016/01/28—03/02,2018/01/27—02/28, 香港中文大學商學院 (Business School at Chinese University of Hong Kong)


科研興趣 (Research interests)

1. 隨機服網絡 (Stochastic service network )

2. 供應鏈管理 (Supply chain management)

3. 應用概率模型 (Applied probability model)


主要學術成果 (Main academic achievements)

1. 對隨機排隊網絡的重對數律和泛函重對數律建立了一套完整的強逼近分析方法 (We developed a strong approximation method for the functional law of iterated logarithm (FLIL) and the law of iterated logarithm (LIL) for stochastic queueing networks, see our papers [12,15,16,17,18,19,20,21,22,23,25] below)

2. 明了具有無限到達供應源的隨機排隊網絡的穩定性 (We obtained the stability condition for a class of stochastic queueing model with infinite supply, see our paper [2,5,6,7,14] below)


主持項目(Research grants as project director)

1. 數學天元基金:幾類排隊網絡的逼近和穩定性(10628047),2009/01—2009/12

2. 青年基金:隨機分析與計算機通信網絡中的排隊模型(10901023)  2010/01—2012/12

3. 面上項目:隨機排隊網絡的強逼近及其相關漸近分析(11471053),2015/01—2018/12

4. 面上項目:基于流逼近的排隊網絡的漸近震蕩和優化分析(11871116),2019/01-2022/12

5. 北京郵電大學提升科技創新能力行動計劃項目(A類),2019/01-2011/12

6. 北京郵電大學青年專項:因特網中的數據包傳輸與相應的排隊網絡模型分析,201104-201212


參與項目(Research grants as principal investigator)

1. 面上項目:不確定條件下供應鏈系統的隨機比較(70971001, 201001--201212,第三參與人

2. 青年基金:隨機排隊網絡在優化策略下的行為分析(11101050, 201101--201412,第一參與人

3. 北京郵電大學青年專項:傳輸多類數據包的通訊網絡資源優化配置及行為分析,201001--201112,第一參與人


學術兼職(academic activity)

2004年至今,中國運籌學會會員

2016年至今,北京運籌學會會員、理事

2012年至今,中國運籌學會隨機服務與運作管理分會理事、常務理事

2015年至2019,中國運籌學會不確定系統分會副理事長

2015年至2019,國際電子商務聯合會中國分會常務理事

2015年至2019,中國運籌學會智能計算分會理事


主講課程Teaching

線性代數;高等數學();概率論與隨機過程(本科生);概率論與數理統計;概率論與隨機過程(研究生),隨機過程論(研究生), 運籌學隨機模型(研究生);隨機排隊網絡(研究生)。


部分論文 (Selected papers)

1. Guo Y. and Zhang H. Optimal production policy in a stochastic manufacturing system. Stochastic Processes, Optimization, and Control Theory Applications, Springer, Houmin Yan, George Yin and Qing Zhang (eds), 141-158, 2006.

2. Guo Y. and Zhang H. On the stability of a simple re-entrant line with infinite supply. OR Transactions, Vol.10 (2): 75-85, 2006.

3. Guo Y. Yang Y. and Yu J. Rate of convergence of fluid approximation for a multi-class single-server queue. Acta Mathematicae Applicatae Sinica, (Chinese Series),Vol.29, 6, 1125-1138, 2006.

4. Guo Y. Convergence rate of fluid approximation for Jackson network with multi-server in heavy traffic. Journal of Systems Science and mathematical Sciences, Vol.28,9,1118-1133, 2008.

5. Guo Y., Yang J. and Wang X. Stability of a 2-station-5-class re-entrant line with infinite supply of work. Asia-pacific journal of operational research, Vol. 25, No. 4, 477-493, 2008. (SCI)

6. Guo Y. Stability of generalized Jackson networks with infinite supply of work. Journal of systems science and complexity, Vol.21, 283-295, 2008. (SCI)

7. Guo Y. Fluid model criterion for instability of re-entrant line with infinite supply of work. TOP, Vol.17(2): 305-319, 2009. (SCI)

8. Guo Y. Diffusion Approximation for re-entrant lines under non-preemptive FBFS service discipline. Acta Mathematicae Applicatae Sinica, (Chinese Series),Vol.32, 6, 1008-1026, 2009.

9. Guo Y. Fluid approximation and its convergence rate for GI/G/1 queue with vacations. Acta Mathematicae Applicatae Sinica, English Series, Vol. 27(1): 43-58, 2011. (SCI)

10. Guo Y. Rate of convergence of fluid approximation for re-entrant lines under FBFS discipline. Asia-Pacific Journal of Operational Research, Vol. 28(3): 401-417, 2011. (SCI)

11. Guo Y. Fluid approximation for a multiclass queue under non-preemptive SBP service discipline. Acta Mathematica Sinica, English Series, Vol.28(2): 379-404, 2012. (SCI)

12. Guo Y. and Huang J. Functional law of iterated logarithm for single server queue with Bernoulli feedback. Acta Mathematicae Applicatae Sinica, (Chinese Series), 35(4) 586-594 2012.

13. Guo Y. Fluid approximation for generalized Jackson network with vacations. Frontiers of Mathematics in China, 7(3), 459-485, 2012. (SCI)

14. Guo Y., Lefeber E., Nazarathy Y., Weiss G. and Zhang H. Stability and performance for multi-class queueing networks with infinite virtual queues. Queueing Systems, 76(3): 309–342, 2014. (SCI)

15. Guo Y. and Liu Y. A law of iterated logarithm for multiclass queues with preemptive priority service discipline. Queueing Systems,79(3): 251-291, 2015. (SCI)

16. Guo Y. Asymptotic Variability Analysis for Multi-Server Generalized Jackson Network in Overloaded. Acta Mathematicae Applicatae Sinica, English Series, 32(3), 713–730, 2016. (SCI)

17. Guo Y. and Li Z. Asymptotic variability analysis for a two-stage tandem queue, part I: The functional law of the iterated logarithm. Journal of Mathematical Analysis and Applications, 450 (2), 1479-1509, 15 June 2017. (SCI)

18. Guo Y. and Li Z. Asymptotic variability analysis for a two-stage tandem queue, part II: The law of the iterated logarithm. Journal of Mathematical Analysis and Applications, 450 (2), 1510-1534, 15 June 2017. (SCI)

19. Guo Y. and Hou X. Strong approximation method and the (functional) law of iterated logarithm for GI/G/1 queue. Journal of Systems Science and Complexity, Vol. 30 (5), 1097-1106, 2017. (SCI)

20. Guo Y., Liu Y. and Pei, R. Functional law of iterated logarithm for multi-server queues with batch arrivals and customer feedback. Annals of Operations Research, Vol.264, 157-191, 2018. (SCI)

21. Guo Y., Hou X. Functional law of the iterated logarithm for multiclass queues with preemptive priority service discipline: the overloaded case. Stochastic Models in Reliability, Network Security and System Safety Essays Dedicated to Professor Jinhua Cao on the Occasion of His 80th Birthday, edited by Q. Li, J. Wang and H. Yu, Springer, 315-343, 2019.

22. Guo Y., Hou X. Functional law of the iterated logarithm for multiclass queues with preemptive priority service discipline: the underloaded and critically loaded Case. Stochastic Models in Reliability, Network Security and System Safety Essays Dedicated to Professor Jinhua Cao on the Occasion of His 80th Birthday, edited by Q. Li, J. Wang and H. Yu, Springer, 344-360, 2019.

23. Guo Y., Song Y. The (functional) law of the iterated logarithm of the sojourn time for a multiclass queue. Online at Journal of Industrial and Management Optimization, 2018. (SCI)

24. Hou X., Guo Y. Cao P. Commission Production Contracts with Revenue Sharing for a Capacitated Manufacturer and Multiple Retailers. Accepted by European J. of Industrial Engineering, 2019. (SCI)

25. Guo Y., Hou X., Liu Y. A functional law of the iterated logarithm for multi-class queues with batch arrivals. submitted, 2019.

26. Xie K, Guo Y. The competitive loss averse newsvendor problem with quantity-oriented reference point. Submitted, 2020.


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