个人信息

姓　　名: 余亮 性　　別: 男 导师类型: 硕士生导师
技术职称: 副教授 电子邮箱: liang.yu@njupt.edu.cn
学术型硕士招生学科: (081100)控制科学与工程
专业型硕士招生类别(领域): (085800)能源动力

个人简介:
余亮，男，工学博士，现为南京邮电大学自动化学院、人工智能学院副教授，硕士生导师，院长助理，南京邮电大学1311人才计划鼎新****，西安交通大学博士后，IEEE会员，中国电子学会会员，IEEE PES智能电网与新技术委员会（中国）智能电网与人工智能分委会委员。1986年10月生于湖北省仙桃市。2007年7月毕业于长江大学通信工程专业，获工学学士学位（学位论文获2007年湖北省优秀学士学位论文一等奖）。2010年7月毕业于长江大学通信与信息系统专业，获工学硕士学位。2014年7月毕业于华中科技大学通信与信息系统专业，获工学博士学位（学位论文获2015年湖北省优秀博士学位论文奖）。2014年7月进入南京邮电大学物联网学院从事教学科研工作，2017年8月晋升副教授，2020年4月调入南京邮电大学自动化学院、人工智能学院。在教学方面，主讲本科生《算法分析与设计》、《物联网导论》、《物联网技术与应用》和研究生《深度强化学习技术专题》等课程，曾获物联网学院青年教师教学竞赛一等奖和南京邮电大学三维通信奖教金一项，作为项目负责人主持并结题校级教学改革项目一项，发表教研论文3篇。在科研方面，主持在研国家自然科学基金面上项目和中国博士后科学基金面上项目各一项、主持并结题国家自然科学基金青年科学基金项目、江苏省自然科学基金青年科学基金项目、江苏省高校自然科学研究面上项目、南京邮电大学引进人才科研启动基金项目各一项，作为导师指导在读和毕业硕士研究生12人，其中2名研究生获国家奖学金。担任国家自然科学基金通讯评审专家、国际期刊IEEE Journal onSelected Areas in Communications, IEEE Transactions on Smart Grid, IEEETransactions on Neural Networks and Learning Systems, IEEE Internet of ThingsJournal, IEEE Transactions on Industrial Informatics, IEEE Transactions onSustainable Energy, IEEE Transactions on Cloud Computing, IEEE Transactions onSustainable Computing, IEEE Transactions on Parallel and Distributed Systems,IEEE Transactions on Network Science and Engineering, IEEE Transactions onNetwork and Service Management, IEEE Wireless Communications Magazine, IEEENetwork Magazine, IEEE IAS Publications, Security and Communication Networks,China Communications, Journal of Communications, Mobile Networks andApplications, IET Communications, Simulation Modelling Practice and Theory, IEEEAccess, Energy Sources Part B-Economics Planning and Policy, InternationalJournal of Distributed Sensor Networks, Sustainable Energy Technologies andAssessments, IET Renewable Power Generation, Robotics, Sensors, CSEE Journal ofPower and Energy Systems, IEEE/CAA Journal of Automatica Sinica的审稿人和国际会议IGESC 2016, IECON 2016, WCSP2016, WCSP 2017, IGESC 2017, IEEE VTC-Fall 2017, IEEE VPCC 2018, IGESC 2018的TPC成员/审稿人。


研究领域:
研究方向：信息物理融合能源系统（侧重于智能电网、数据中心、智慧建筑等）、云/雾计算、分布式最优化、深度强化学习、区块链；
研究成果：以第二作者身份出版英文专著1部（导师为第一作者），累计发表学术论文30篇（第一作者24篇，SCI收录17篇（2018年中科院SCI一区10篇），EI收录10篇），其中：在国际权威/重要期刊IEEE Transactions on Smart Grid、IEEE Transactions on Parallel andDistributed Systems、IEEE Transactions onCloud Computing、IEEE Internet ofThings Journal等发表论文17篇，在国际重要会议IEEE Globecom、IEEE SmartGridComm、IEEE IECON、IEEE GreenCom上发表论文5篇。研究成果获Google学术引用640余次，发表论文获南京市第11届和第12届自然科学优秀论文奖各一项，申请发明专利9项，授权1项。
1.出版的学术专著
[1] Tao Jiang, LiangYu, Yang Cao, Energy Management of Internet Data Centers in Smart Grids,Springer, 2015.
2.部分期刊论文列表
[1]Liang Yu, Yi Sun, Zhanbo Xu, Chao Shen, Dong Yue, Tao Jiang, Xiaohong Guan, Multi-AgentDeep Reinforcement Learning for HVAC Control in Commercial Buildings, IEEETransactions on Smart Grid, vol. 12, no. 1, pp. 407-419, 2021.
[2]Liang Yu, Weiwei Xie, Di Xie, Yulong Zou, Dengyin Zhang, Zhixin Sun, LinghuaZhang,Yue Zhang, and Tao Jiang, Deep Reinforcement Learning for Smart HomeEnergy Management, IEEE Internet of Things Journal, 2020, 7(4): 2751-2762.
[3] Liang Yu, Di Xie,Chongxin Huang, Tao Jiang, and Yulong Zou, Energy Optimization of HVAC Systemsin Commercial Buildings Considering Indoor Air Quality Management, IEEE Transactionson Smart Grid, 2019, 10(5): 5103-5113.
[4] Liang Yu, TaoJiang, and Yulong Zou, Online Energy Management for a Sustainable Smart Homewith an HVAC Load and Random Occupancy, IEEE Transactions on Smart Grid, 2019,10(2): 1646-1659.
[5] Liang Yu, TaoJiang, and Yulong Zou, Price-Sensitivity Aware Load Balancing forGeographically Distributed Internet Data Centers in Smart Grid Environment,IEEE Transactions on Cloud Computing, Oct.-Dec. 2018, 6(4): 1125-1135.
[6] Di Xie, Liang Yu, TaoJiang, and Yulong Zou, Distributed Energy Optimization for HVAC Systems inUniversity Campus Buildings, IEEE Access, 2018, 6: 59141-59151.
[7] Liang Yu, TaoJiang, and Yulong Zou, Distributed Real-Time Energy Management in Data CenterMicrogrids, IEEE Transactions on Smart Grid, July 2018, 9(4): 3748-3762.
[8] Liang Yu, Di Xie, TaoJiang, Yulong Zou, and Kun Wang, Distributed Real-Time HVAC Control for Cost-EfficientCommercial Buildings under Smart Grid Environment, IEEE Internet of ThingsJournal, Feb. 2018, 5(1): 44-55.
[9] Liang Yu, TaoJiang, and Yulong Zou, Fog-Assisted Operational Cost Reduction for Cloud DataCenters, IEEE Access, 2017, 5: 13578-13586.
[10] Liang Yu, TaoJiang, and Yulong Zou, Distributed Online Energy Management for Data Centersand Electric Vehicles in Smart Grid, IEEE Internet of Things Journal, Dec.2016, 3(6): 1373-1384.
[11] Liang Yu, TaoJiang, Yulong Zou, and Zhixin Sun, Joint Energy Management Strategy forGeo-distributed Data Centers and Electric Vehicles in Smart Grid Environment,IEEE Transactions on Smart Grid, Sept. 2016, 7(5): 2378-2392.
[12] Liang Yu, TaoJiang, and Yulong Zou, Real-Time Energy Management for Cloud Data Centers inSmart Microgrids, IEEE Access, 2016, 4: 941-950.
[13] Liang Yu, TaoJiang, Yang Cao, and Qi Qi, Joint Workload and Battery Scheduling withHeterogeneous Service Delay Guarantees for Data Center Energy CostMinimization, IEEE Transactions on Parallel and Distributed Systems, July 2015,26(7): 1937-1947.
[14] Liang Yu, TaoJiang, and Yang Cao, Energy Cost Minimization for Distributed Internet DataCenters in Smart Microgrids Considering Power Outages, IEEE Transactions onParallel and Distributed Systems, Jan. 2015, 26(1): 121-130.
[15] Liang Yu, TaoJiang, Yang Cao, and Qi Qi, Carbon-aware Energy Cost Minimization forDistributed Internet Data Centers in Smart Microgrids, IEEE Internet of ThingsJournal, June 2014, 1(3): 255-264.
[16] Liang Yu, TaoJiang, Yang Cao, and Qian Zhang, Risk-constrained Operation for DistributedInternet Data Centers in Deregulated Electricity Markets, IEEE Transactions onParallel and Distributed Systems, May 2014, 25(5): 1306-1316.
[17] Tao Jiang, YangCao, Liang Yu, and Zhiqiang Wang, Load Shaping Strategy Based on Energy Storageand Dynamic Pricing in Smart Grid, IEEE Transactions on Smart Grid, Nov. 2014,5(6): 2868-2876.
3.部分会议论文列表
[1] Ye Xu, Liang Yu,Gang Bi, Meng Zhang, Chao Shen, Deep Reinforcement Learning and Blockchain for Peer-to-PeerEnergy Trading among Microgrids, IEEE GreenCom, 2020.
[2] Liang Yu, TaoJiang, and Yulong Zou, Online Temperature Control of a Residential Building inSmart Grid Environment, IEEE Globecom, Singapore, 2017.
[3] Liang Yu, YulongZou, and Kun Wang, Online Energy Management for Data Centers and ElectricVehicles in Smart Grid Environment, IEEE IECON, Florence, Italy, 2016.
[4] Liang Yu, TaoJiang, Yang Cao, and Jingkai Wu, Risk-constrained Operation for Internet DataCenters under Smart Grid Environment, IEEE WCSP, Hangzhou, China, 2013.
[5] Liang Yu, TaoJiang, Yang Cao, Shiyong Yang, and Zhiqiang Wang, Risk management in InternetData Center operations under smart grid environment, IEEE SmartGridComm, Tainan,Taiwan, 2012.
[6] Liang Yu, TaoJiang, Peng Guo, Yang Cao, Daiming Qu, Peng Gao, Improving Achievable TrafficLoad of Secondary Users Under GoS Constraints in Cognitive Wireless Networks,IEEE Globecom, Houston, TX, USA, 2011.
4. 投稿阶段论文
[1] Liang Yu, ShuqiQin, Meng Zhang, Chao Shen, Tao Jiang, and Xiaohong Guan, Deep ReinforcementLearning for Smart Building Energy Management: A Survey, Submitted to IEEEInternet of Things Journal, 2020.
[2] Liang Yu, ZhenGao, Shuqi Qin, Meng Zhang, Chao Shen, Xiaohong Guan, and Dong Yue, Multi-agentDeep Reinforcement Learning for Smart Grid Protection Against CoordinatedMultistage Transmission Line Attacks, Submitted to IEEE Transactions on NeuralNetworks and Learning Systems, 2020.
[3] Shushan Hu, PengWang, Liang Yu, Cathal Hoare, and James O’Donnell, Building Occupancy Detectionand Localisation using Deep Learning for Surveillance Video, Submitted to IEEETransactions on Industrial Informatics, 2020.
5. 申请/授权的发明专利
[1] 余亮，魏良兵，岳东，窦春霞，一种基于深度强化学习的办公建筑热舒适控制系统及方法，2020.11.13，中国，专利申请号：CN0.2
[2] 高镇，余亮，沈超，岳东，窦春霞，刘爱萍，基于多智能体深度强化学习的电网输电线路防御方法，2020.11.12，中国，CN0.3
[3] 余亮，孙毅，岳东，邹玉龙，基于多智能体深度强化学习的商业建筑HVAC控制方法，2020.1.3，中国，CN8.1
[4] 余亮，谢蒂，谢玮玮，邹玉龙，一种基于深度强化学习的智慧家庭能量管理方法及系统，2019.8.7，中国，CN0.3
[5] 余亮，谢蒂，邹玉龙，大学校园建筑内大规模暖通空调系统的分布式控制方法，2018.8.6，中国，CN8.5
[6] 朱佳，涂慧，邹玉龙，余亮，郭海燕，基于无人机中继网络的最佳高度与位置的联合优化方法，2018.7.19，中国，CN8.8
[7] 邹玉龙，吴彤，姚颖，朱佳，余亮，反馈受限下多天线传输的有效容量优化方法，2018.5.14，中国，CN5.4
[8] 孟庆民，胡在勇，邹玉龙，余亮，王小明，一种采用无人机代理的空中无线传能系统，2017.8.30，中国，CN9.4
[9] 王钟情，邹玉龙，余亮，孟庆民，王小明，一种密集部署的无线异构网络的中继分配方法，2017.8.24，中国，CN1.4
[10] 赵媛媛，余亮，邹玉龙，孟庆民，王小明，一种灵活的室内网络架构设计及资源配置方法，2017.8.23，中国，CN2.1