周舟,男,工学博士/博士后，副教授，硕士生导师，全球前2％顶尖科学家。2015年11月-2016年11月年国家公派澳大利亚Deakin University访问学者，2017年6月获得中南大学博士学位。2018年-2024年在湖南大学从事博士后研究工作。研究方向涉及人工智能、机器学习、边缘计算、并行与分布式计算、绿色计算、数据中心、车联网等。获得湖南省科学技术奖1项，主持省部级科研项目6项（包括湖南省自然科学基金，中国博士后科学基金，湖南省教育厅优秀青年项目），以第一作者在《IEEE Transactions on Industrial Informatics》、《IEEE Transactions on Green Communications and Networking》、《IEEE Transactions on Sustainable Computing 》、《ACM Transactions on Asian and Low-Resource Language Information Processing》、《Journal of Parallel and Distributed Computing》、《Future Generation Computer Systems》等期刊上发表SCI检索论文25篇，获得授权的国家发明专利4项（其中3项已实现成果转化），出版个人专著1本，主编省级规划教材3部。2024年受邀担任21st IEEE Conference on on Ubiquitous Intelligence and Computing (UIC 2024, CCF C类会议)的Session Chair,同时担任40多家国际SCI期刊如IEEE-TC、IEEE-TPDS, IEEE-TSC、IEEE-TMC、IEEE-TCC、IEEE-TII、IEEE-TSUSC、IEEE-TCAD、TNSM、JPDC、FGCS、Expert Systems with Applications、CCPE、Neural Computing and Applications、Parallel Computing、Journal of Supercomputing、 Journal of Cluster Computing、 Journal of Grid Computing、IEEE Systems Journal、Computer Network、Simulation Modelling Practice and Theory等审稿人。

电子邮件：zhzhou@ccsu.edu.cn

研究方向：人工智能、 机器学习、边缘计算、并行分布式计算、绿色计算、数据中心

(一)、湖南省科学技术奖

  李方敏， 栾悉道， 肖湘江， 杨志邦， 张韬， 周舟，刘新华. 多模态感知与无线接入方法及应用, 湖南省科技进步三等奖, 2020.

（二）、期刊论文：

1. Zhou Zhou, Han Shen, Fangmin Li, Jemal Abawajy, and Zhenli He . An Enhanced DV-Hop Localization Algorithm Based on Variable Scene Applications in the IoT [J]. IEEE Transactions on Industrial Informatics, 2025.  ( 已录用，IF=10.215, JCR和中科院一区Top)

2. Zhou Zhou, Jemal Abawajy, Mohammad Shojafar,  and Morshed Chowdhury. DEHM: An Improved Differential Evolution Algorithm using Hierarchical Multi-strategy in a Cybertwin 6G Network [J]. IEEE Transactions on Industrial Informatics, 2022, 18(7)：4944-4953. DOI: 10.1109/TII.2022.3140854. ( IF=10.215, JCR和中科院一区Top)

3. Zhou Zhou, Mohammad Shojafar,  Mamoun Alazab, and Fangmin Li. IECL: An Intelligence Energy Consumption Model for Cloud Manufacturing [J]. IEEE Transactions on Industrial Informatics, 2022, 18(12)：8967-8976. DOI: 10. 1109/TII. 2022.3165085 ( IF=10.215, JCR和中科院一区Top)

4. Zhou Zhou, Mohammad Shojafar, Ruidong Li, and Rahim Tafazolli. EVCT: An efficient VM deployment algorithm for a software-defined data center in a connected and autonomous vehicle environment [J]. IEEE Transactions on Green Communications and Networking, 2022, 6(3): 1532-1542. doi:10.1109/TGCN.2022.3161423. (SCI)

5. Zhou Zhou, Mohammad Shojafar, Jemal Abawajy, Hui Yin, Hongming Lu. ECMS: An Edge Intelligent Energy Efficient Model in Mobile Edge Computing [J]. IEEE Transactions on Green Communications and Networking, 2022, 6(1): 238-247. doi:10.1109/TGCN.2021.3121961. (SCI)

6. Zhou Zhou, Li Kenli, Jemal Abawajy, Shojafar Mohammad, Morshed Chowdhury, Li Fangmin and Li Keqin. An Adaptive Energy-aware Stochastic Task Execution Algorithm in Virtualized Networked Datacenters [J]. IEEE Transactions on Sustainable Computing, 2022, 7(2): 371-385. doi: 10.1109/TSUSC.2021.3115388. (SCI,   中科院二区)

7. Zhou Zhou, Mohammad Shojafar,  Jemal Abawajy and  Ali Kashif Bashir. IADE: An Improved Differential Evolution Algorithm to Preserve Sustainability in a 6G Network [J]. IEEE Transactions on Green Communications and Networking, 2021, 5(4): 1747-1760. doi: 10.1109/TGCN.2021.3111909. (SCI)

8. Zhou Zhou, Mohammad Shojafar, Mamoun Alazab, Jemal Abawajy and Fangmin Li. AFED-EF: An Energy-efficient VM Allocation Algorithm for IoT Applications in a Cloud Data Center [J]. IEEE Transactions on Green Communications and Networking, 2021, 5(2): 658-669. doi: 10.1109/TGCN.2021.3067309. (SCI)

9. Zhou Zhou, Fangmin Li, and Shuiqiao Yang. A novel resource optimization algorithm based on clustering and improved differential evolution strategy under a cloud environment [J]. ACM Transactions on Asian and Low-Resource Language Information Processing, 2021, 20(5): 1-15. doi: 10.1145/3462761. (SCI)

10. Zhou Zhou, Yangfan Li, Fangmin Li, Hongbing Cheng. An Intelligence Energy Consumption Model based on BP Neural Network in Mobile Edge Computing [J]. Journal of Parallel and Distributed Computing, 2022, 167(5):  211-220. Doi: 10.1016/j.jpdc.2022.05.005 (JCR 一区，中科院二区，CCF B类)

11. Zhou Zhou, Li Fangmin, Zhu Huaxi, Xie Houliang, Jemal Abawajy, Morshed Chowdhury. An improved genetic algorithm using greedy strategy toward task scheduling optimization in cloud environments [J]. Neural Computing & Applications, 2020, 32(6): 1531-1541. DOI: 10.1007/s00521-019-04119-7. (SCI).  （中科院二区）

12. Zhou Zhou, Jemal Abawajy, Morshed Chowdhury, Hu Zhigang, Li Keqin, et al. Minimizing SLA Violation and Power Consumption in Cloud Data Centers Using Adaptive Energy-aware Algorithms [J]. Future Generation Computer Systems (FGCS), 2018, 86(6): 836-850. DOI:10.1016/j.future.2017.07.048. (SCI). （中科院一区）

13. Zhou Zhou, Yu Junyang, Li Fangmin, et al. Virtual machine migration algorithm for energy efficiency optimization in cloud computing [J]. Concurrency and Computation: Practice and Experience, 2018, 30(24): 1-10. DOI: 10.1002/cpe.4942. (SCI).

14. Zhou Zhou, Chang Jian, Hu Zhigang, Yu Junyang, Li Fangmin. A modified PSO algorithm for task scheduling optimization in cloud computing [J]. Concurrency and Computation: Practice and Experience, 2018. 30(24): 50-61. DOI: 10.1002/cpe.4970. (SCI).

15. Zhou Zhou, Wang Hongmin, Shao Huailing, Dong Lifeng, Yu Junyang. A high-performance scheduling algorithm using greedy strategy toward quality of service in the cloud environments [J]. Peer-to-Peer Networking and Applications, 2020. DOI:10.1007/s12083-020-00888-4. (SCI).

16. Zhou Zhou, Zhuopeng Xiao and WeiHong Deng. Improved community structure discovery algorithm based on combined clique percolation method and K-means algorithm[J]. Peer-to-Peer Networking and Applications, 2020.  DOI: 10.1007/s12083-020-00902-9. (SCI).

17. Zhou Zhou, Wei Hongwei. A novel VM migration algorithm based on Markov model under the cloud environment[J]. UPB Scientific Bulletin, Series C: Electrical Engineering and Computer Science, 2020, 82(4): 55-68 (SCI).

18. Zhou Zhou, Zhou Xinyuan. Cloud Service Qos Prediction Algorithm Based on Time Perception and User's Interest [J]. UPB Scientific Bulletin, Series C: Electrical Engineering and Computer Science, 2020, 82(4): 93-102 (SCI).

19. Zhou Zhou, Hu Zhigang, Li Keqin. Virtual Machine Placement Algorithm for Both Energy-awareness and SLA Violation Reduction in Cloud Data Centers[J]. Scientific Programming，2016, 16(1):1-11. DOI: 10.1155/2016/5612039. (SCI).

20. Zhou Zhou, Hu Zhigang, Yu Junyang, Jemal Abawajy, Morshed Chowdhury.   Energy-efficient virtual machine consolidation algorithm in cloud data centers [J]. Journal of Central South University, 2017, 24(10): 2331–2341. DOI: 10.1007/s11771-017-3645-z. (SCI).

21. Zhou Zhou, Li Fangmin, Jemal Abawajy and Caocao Gao. Improved PSO   Algorithm Integrated With Opposition-Based Learning and Tentative Perception in Networked Data Centres [J]. IEEE Access, 2020, 8(1): 55872-55880. DOI: 10.1109/ACCESS.2020.2981972. (SCI).

22. Zhou Zhou, Xie Houliang, Li Fangmin. A novel task scheduling algorithm integrated with priority and greedy strategy in cloud computing [J]. Journal of Intelligent & Fuzzy Systems, 2019, 37 (4): 4647-4655. DOI: 10.3233/JIFS-179299. (SCI).

23. Zhou Zhou, et al. Improved community structure discovery algorithm based on penalised matrix decomposition for complex networks [J]. Microprocessors and Microsystems, 2020. (SCI).

24. Zhou Zhou, Jemal Abawajy, Li Fangmin, Hu Zhigang, Li Keqin, et al. Fine-grained Energy Consumption Model of Servers Based on Task Characteristics in Cloud Data Center[J]. IEEE Access, 2018, 6(1): 27080-27090. DOI:10.1109/ACCESS.2017.2732458. (SCI).

25. Zhou Zhou, Hu Zhigang, Song Tie and Yu Junyang. A novel virtual machine deployment algorithm with energy efficiency in cloud computing [J]. Journal of Central South University, 2015, 22(3):974-983. DOI: 10.1007/s11771-015-2608-5. (SCI).

（三）、科研和教改项目：

1. 湖南省自然科学基金面上项目，2025JJ50344, 智能车联网环境下车路协同资源联合优化策略研究，2025/01.1-2027/12,  研究中，主持。

2. 湖南省自然科学基金青年项目，2019JJ50689, 云平台弹性计算及全局优化节能策略，2019/01.1-2020/12,  已结题，主持。

3. 湖南省教育厅优秀青年项目， 21B0779,  数据中心基于图理论的高效虚拟机部署算法研究,   2022/01-2024/12, 研究中，主持。

4. 湖南省教育厅优秀青年项目， 18B412, 云平台弹性计算及虚拟机聚合算法研究，2019/01-2021/12, 已结题，主持。

5. 中国博士后科学基金项目，2018M642974, 云平台弹性计算及虚拟机合并算法研究,全国博士后管理委员会，2019/01-2020/12,已结题，主持。

6. 湖南省教育科学“十四五”规划课题，XJK23CXX004， 人工智能与大学计算机基础教学深度融合的现实之困与纾解之道， 湖南省教育厅， 2023/01-2025/12，研究中，主持。

7. 长沙市自然科学基金项目, kq2502340，智能车联网环境下“车-路-云”协同资源联合优化策略研究,长沙市科技局,2025/01-2026/12,研究中，主持。

8. 长沙市科技局计划项目,k1705036,云计算环境中基于任务特征的能耗模型及节能算法研究, 长沙市科技局, 2018/01-2019/12,已结题，主持。

（四）、获得授权的国家发明专利

1. 周舟，李方敏.云数据中心以能效为目标的虚拟机部署方法及系统.发明专利，ZL202110227329.1.

2. 周舟，李方敏. 一种基于随机任务的数据中心节能优化方法及系统.发明专利，ZL201910542580.X (已实现成果转化).

3. 周舟，李方敏. 一种融入反向学习和试探感知的粒子群优化方法及系统.发明专利，ZL201910542575.9 (已实现成果转化).

4. 周舟，李方敏，等.一种多目标任务调度方法及系统.发明专利, ZL201910645478.2 (已实现成果转化).

（五）、出版专著

周舟. 云环境下能耗优化及管理技术, 湖南大学出版社，专著，2018 (书号：978-7-5667-1626-2).

（六）、主编教材

1. 周舟，许劲， 周新媛. 计算思维与案例驱动的大学计算机应用教程[M].  北京邮电大学出版社，2021.
2. 周新媛,许劲，周舟. 计算机应用教程第二版[M].北京邮电大学出版 社，2024.

3. 周新媛,许劲，周舟. 计算机应用教程[M].北京邮电大学出版社，2021.