个人信息

董婷婷，毕业于北京工业大学，博士研究生，工学博士，讲师。在国内外重要学术刊物及学术会议上发表相关学术论文15 余篇，获国家授权专利2项。

科研领域

资源调度、人工智能、智能优化

代表性论文

[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, 中科院一区)

[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，中科院二区)

[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，中科院二区)

   [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, 中科院二区)

[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.(中国计算机学会推荐C类会议，接受率：26/93=28%，Regular paper，EI: 20220411518354)

授权专利

[1] 基于深度强化学习的舰载机出动回收在线调度方法，发明专利，2020-2-1，排名第二

[2] 一种流机器人横偏控制方法及物流机器人，发明专利，2023-8-25，排名第三