個人信息

董婷婷，畢業于北京工業大學，博士研究生，工學博士，講師。在國内外重要學術刊物及學術會議上發表相關學術論文15 餘篇，獲國家授權專利2項。

科研領域

資源調度、人工智能、智能優化

代表性論文

[1] Xue Fei, Hai Qiuru, Dong Tingting（通信作者）, Cui Zhihua, Gong Yuelu. A Deep Reinforcement Learning based Hybrid Algorithm for Efficient Resource Scheduling in Edge Computing Environment. Information Sciences, 2022,608:362-374. (SCI: 000834635100016, IF = 8.232, 中科院一區)

[2] Dong Tingting, Xue Fei, Tang Hengliang, Xiao Chuangbai. Deep Reinforcement Learning for Fault-tolerant Workflow Scheduling in Cloud Environment. Applied Intelligence, 2023, 53(9): 9916-9932. (SCI：000840063300001, IF=5.019，中科院二區)

[3] Dong Tingting, Xue Fei, Xiao Chuangbai, Zhang Jiangjiang. Workflow Scheduling based on Deep Reinforcement Learning in the Cloud Environment. Journal of Ambient Intelligence and Humanized Computing, 2021, 12(12): 10823-10835. (SCI: 000606454200002, IF=7.104，中科院二區)

   [4] Xue Fei, Dong Tingting（通信作者）, You Siqing , Liu Yan, Tang Hengliang, Chen Lei, Yang Xi, Li Juntao. A Hybrid Many-objective Competitive Swarm Optimization Algorithm for Large-scale Multirobot Task Allocation Problem. International Journal of Machine Learning and Cybernetics, 2020, 12(4): 943-957. (SCI: 000575744300002, IF = 4.012, 中科院二區)

[5] Tingting Dong, Fei Xue, Chuangbai Xiao, Jiangjiang Zhang. Deep Reinforcement Learning for Dynamic Workflow Scheduling in Cloud Environment. IEEE International Conference on Services Computing, 2021.(中國計算機學會推薦C類會議，接受率：26/93=28%，Regular paper，EI: 20220411518354)

授權專利

[1] 基于深度強化學習的艦載機出動回收在線調度方法，發明專利，2020-2-1，排名第二

[2] 一種流機器人橫偏控制方法及物流機器人，發明專利，2023-8-25，排名第三