教育背景
2012.09 - 2017.09 同济大学,控制理论与控制工程,博士
2015.11 - 2016.11 University of California, Santa Cruz,应用数学与统计系,联合培养
2008.09 - 2012.06 同济大学,自动化,学士
工作经历
2017.11 - 今 湖南大学,电气与信息工程学院,助理教授
项目课题经历
(1)国家自然科学基金青年基金,绿色数据中心信息物理融合建模与智能运行优化控制方法研究,项目主持,2020.01-2022.07;
(2)长株潭国家自主创新示范区重大专项,智能制造机器人技术创新平台(1500万),课题负责人;2017.01-2019.12;
(3)中央高校基本科研业务费,项目主持,2017.11-2022.07。
论文、成果、著作等
[1] Fang Q, Li Z, Wang Y, Song M and Wang J. A neural-network enhanced modeling method for real-time evaluation of the temperature distribution in a data center[J]. Neural Computing and Applications, 2019, 1-13.
[2] Fang Q, Gong Q, Wang J and Wang Y. Optimization Based Resource and Cooling Management for a High-Performance Computing Data Center[J]. ISA Transactions, 2019, 90: 202-212.
[3] Fang Q, Wang J, Gong Q and Song M. Thermal-aware Energy Management of HPC Data Center Via Two-time-scale Control[J]. IEEE Transactions on Industrial Informatics, 2017, 23(5): 2260-2269.
[4] Fang Q, Wang J, Gong Q. QoS-Driven Power Management of Data Centers via Model Predictive Control[J]. IEEE Transactions on Automation Science and Engineering, 2016, 13(4):1557-1566.
[5] Fang Q, Song M and Wang J. Control-oriented Modelling and Evaluation for the Temperature Distribution in Data-centers[C], in Proceedings of the 16th International Heat Transfer Conference, Beijing, China. 2018.
[6] Wang Q, Song M, Fang Q and Wang J. Thermal-aware Flow Field Optimization for Energy Saving of Data Centers[C], in Proceedings of 2018 American Control Conference, Milwaukee, USA, 2018.
[7] Fang Q, Wang J and Gong Q. Thermal-aware Server Provisioning with Switched MPC for HPC Data Centers[C]. in Proceedings of the 10th IFAC Symposium on Nonlinear Control Systems, Monterey, CA. 2016. 778-784.
[8] Fang Q, Wang J, Zhu H, and Gong Q. Using Model Predictive Control in Data Centers for Dynamic Server Provisioning[C]. in Proceedings of the 19th IFAC World Congress, Cape Town, South Africa. 2014, 19(1): 9635-9642.
专利、著作版权等
[1] 新型发明专利,名称:一种基于模型预测控制的数据中心节能控制方法。专利号:201510064079.9
[2] 新型发明专利,名称:分模式最优化混联式混合动力汽车能源管理方法。专利号:201310090705.2
声明:本站专家信息来源于各高校官网。