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李小平，廣東工業大學計算機學院院長，國家高層次人才，校百人計劃特聘教授、二級教授、博士生導師，IEEE高級會員、CCF（中國計算機學會）杰出會員、ACM會員，CCF 協同計算專委副主任、中國仿真學會智能仿真優化與調度專委會常務委員。 主持的科研項目包括：國家重點研發計劃項目2項、國家重點研發計劃課題2項、國家自然科學基金7項、國家自然科學基金重點項目1項、國家863計劃1項、國家科技支撐計劃1項、江蘇省重點研發計劃1項等。 2009年入選教育部新世紀優秀人才支持計劃、2019年和2012年入選江蘇省“六大人才高峰” 培養對象、2008年入選江蘇省高校“青藍工程”優秀青年骨干教師培養對象。 在IEEE Transactions on Computers、IEEE Transactions on Parallel and Distributed Systems、IEEE Transactions on Services Computing、Science in China Series F: Information Sciences、IEEE Transactions on Automation Science and Engineering、IEEE Transactions on Cybernetics、IEEE Transactions on Systems, Man and Cybernetics: Systems、 IEEE Transactions on Evolutionary Computation、IEEE Transactions on Cloud Computing、IEEE Transactions on Network and Service Management、OMEGA、Information Sciences、European Journal of Operational Research、Future Generation Computer Systems、Journal of Grid Computing、 Journal of Supercomputing 、Journal of Network and  Computer Applications、Expert Systems with Applications、Integrated Computer-Aided Engineering、Cluster Computing、Computers & Industrial Engineering、International Journal of Production Research、International Journal of  Computer Integrated Manufacturing、Engineering Optimization、International Journal of Advanced Manufacturing Technology、Chinese Journal of Electronics、中國科學、計算機學報、軟件學報、電子學報、通信學報、ICSOC、ICPADS、ICWS、SMC、CASE、CSCWD等高水平國際國內期刊或國際會議上發表論文100余篇。獲江蘇省科學技術二等獎1項。

主要研究方向：云計算，調度優化、服務計算、云制造、復雜生產調度優化、智能算法。 

           2009.3-2010.3，National Research Council, Canada，訪問學者；
           2003.1-2004.12，清華大學，自動化系，博士后；
           1999.3-2002.8，哈爾濱工業大學，計算機應用技術專業，獲博士學位；
          1996.9-1999.3，哈爾濱理工大學，計算機應用技術專業，獲碩士學位；
          1989.9-1993.7，哈爾濱科技大學，計算機及其應用專業，獲學士學位。

          2023.1-，廣東工業大學，計算機應用技術，二級教授，校百人特聘教授，博士生導師；

          2009.4- 2024.4，東南大學，計算機應用技術，二級教授，特聘教授，博士生導師；
          2007.4-2009.4，東南大學，計算機應用技術，副教授，博士生導師；
          2005.2-2007.4，東南大學，計算機應用技術，副教授，碩士生導師；
          2003.9-2005.2，哈爾濱理工大學，計算機應用技術，副教授，碩士生導師；
          1998.9-2003.8，哈爾濱理工大學，計算機應用技術，講師；
          1993.8-1998.8，哈爾濱理工大學，計算機應用技術，助教。

       云計算，調度優化 , 服務計算, 智能制造， 工業軟件

Dr. Xiaoping Li  is a distinguished professor in Guangdong University of Technology. He is an IEEE Senior member and a  Distinguished member of China Computer Federation (CCF). He received his B.Sc. and M.Sc. degrees in Applied Computer Science from the Harbin University of Science and Technology in 1993 and 1999, respectively, and the Ph.D. degree in Applied Computer Science from the Harbin Institute of Technology in 2002.  From Jan. 2003 to Dec. 2004, he did postdoctoral research at the Department of Automation at Tsinghua University, Beijing, China. From Mar. 2009 to Mar. 2010, he was a visiting professor at the National Research Council, London, Ontario, Canada. He is a full professor at the School of Computer Science and Engineering, Southeast University, Nanjing, China. He is the author or co-author over more than 100 academic papers, some of which have been published in international journals such as IEEE Transactions on Computers、IEEE Transactions on Parallel and Distributed Systems、IEEE Transactions on Services Computing、Science in China Series F: Information Sciences、IEEE Transactions on Automation Science and Engineering、IEEE Transactions on Cybernetics、IEEE Transactions on Systems, Man and Cybernetics: Systems、 IEEE Transactions on Evolutionary Computation、IEEE Transactions on Cloud Computing、IEEE Transactions on Network and Service Management、OMEGA、Information Sciences、European Journal of Operational Research、Future Generation Computer Systems、Journal of Grid Computing、 Journal of Supercomputing 、Journal of Network and  Computer Applications、Expert Systems with Applications、Integrated Computer-Aided Engineering、Cluster Computing、Computers & Industrial Engineering、International Journal of Production Research、International Journal of  Computer Integrated Manufacturing、Engineering Optimization、International Journal of Advanced Manufacturing Technology、Chinese Journal of Electronics、, ICSOC, ICPADS, ICWS, SMC, CASE, CSCWD. His research interests include Scheduling in Cloud Computing, Scheduling in Cloud Manufacturing, Service Computing, Big Data and Machine Learning.