一、个人信息
姓名：周通
职称：讲师
电子邮箱：t.zh@njtech.edu.cn
二、教育背景及工作经历
2022.09-至今新利18彩票 智能制造研究院讲师
2017.09-2022.06南京航空航天大学机械电子工程专业工学博士
2019.10-2020.10美国宾夕法尼亚州立大学工业与制造工程专业访问学者
2014.09-2017.06江苏科技大学机械制造及其自动化专业工学硕士
2010.09-2014.06江苏科技大学机械设计制造及其自动化专业工学学士
三、研究方向
智能制造系统;深度强化学习;智能生产决策;工业物联网
四、主要项目经历
1.面向自组织物联制造的复合智能体及其使能技术研究,国家自然科学基金-面上项目, 2021.01-2024.12,参与
2.面向云定制的分布式智能产线协同智能集成技术,国家重点研发计划项目,中华人民共和国科学技术部, 2020.11-2023.11,参与
3.基于敏捷流程管理的自适应模块化生产系统,国家重点研发计划项目,中华人民共和国科学技术部, 2020.04-2023.03,参与
五、主要研究成果
1.Tong Zhou, Dunbing Tang, Haihua Zhu, et al. Multi-agent reinforcement learning for online scheduling in smart factories [J]. Robotics and Computer-Integrated Manufacturing, 2021, 72: 102202. (SCI)
2.Tong Zhou, Dunbing Tang, Haihua Zhu, et al. Reinforcement learning with composite rewards for production scheduling in a smart factory [J]. IEEE Access, 2020, 9: 752-766. (SCI)
3.Tong Zhou, Haihua Zhu, Dunbing Tang, et al. Reinforcement learning for online optimization of job-shop scheduling in a smart manufacturing factory [J]. Advances in Mechanical Engineering, 2022, 14(3): 1-19. (SCI)
4. Yi Zhang, Haihua Zhu, Dunbing Tang,Tong Zhou, et al. Dynamic job shop scheduling based on deep reinforcement learning for multi-agent manufacturing systems [J]. Robotics and Computer-Integrated Manufacturing, 2022, 78: 102412. (SCI)
5. Changchun Liu, Haihua Zhu, Dunbing Tang, Qingwei Nie,Tong Zhou, et al. Probing an intelligent predictive maintenance approach with deep learning and augmented reality for machine tools in IoT-enabled manufacturing [J]. Robotics and Computer-Integrated Manufacturing, 2022, 77: 102357. (SCI)
6. Zequn Zhang, Dunbing Tang, Haihua Zhu,Tong Zhou, et al. A practical approach for multiagent manufacturing system based on agent computing nodes [J]. Part C: Journal of Mechanical Engineering Science, 2020: 0954406220908626. (SCI)
7. Liping Wang, Dunbing Tang, Hongwei Sun, Liangchuang Liao, Zequn Zhang,Tong Zhou, et al. Enabling technology of multiagent manufacturing system: a novel mode of self-organizing IoT manufacturing [J]. Transactions of Nanjing University of Aeronautics & Astronautics, 2021, 38(5): 876-892. (EI)
