王然
近期热点
资料介绍
个人简历
王然,1989年1月出生,博士,南京航空航天大学计算机科学与技术学院副教授。2011年7月毕业于哈尔滨工业大学英才学院电子信息工程专业,获工学学士学位;2016年4月毕业于新加坡南洋理工大学计算机科学与工程学院,获博士学位。导师为Wang Ping和Xiao Gaoxi教授。2015年10月到2016年8月在新加坡南洋理工大学电子电气工程学院做博士后研究员。2011年获新加坡“南洋工程博士奖(Nanyang Engineering Doctorial Scholarship Award)”,2017年获得江苏省“双创博士”资助(15万)。主要从事计算机网络、能源互联网方向的研究。2016年入职南航以来主持国家自然科学基金面向项目(2021)、国家自然科学基金青年项目(2018)、江苏省自然科学基金青年项目(20万)、科技部外专项目(30万)、中国计算机学会-腾讯犀牛鸟基金(全世界155项申请中只有14人获得)、国家博士后特助、国家博士后科研基金面上项目、江苏省博士后A类资助(2017年南航唯一A类)、多项校企产学研合作课题等;参与科技部重点研发项目2项,发高水平表科研论文50余篇,其中期刊论文24篇(均为中国计算机协会推荐或中科院2区以上的SCI),重要国际会议论文29篇(均为CCF推荐或EI),在国际会议做大会报告7次;Google Scholar他引800余次;第1作者在Springer上出版英文专著1部,出版江苏省十二五规划教材1部(清华大学出版社);以第1发明人申请国家专利8项,授权3项。主持项目(部分):国家自然科学基金面上项目(2021),55万国家自然科学基金青年项目(2018),26万江苏省自然科学基金青年项目(2016),20万科技部外专项目(2020),30万中国计算机学会-腾讯犀牛鸟基金(2016,全世界155项申请中只有14人获得)国家博士后特助(2019),18万国家博士后科研基金面上项目(2017)江苏省博士后A类资助(2017年南航唯一A类)马鞍山钢铁合作项目(2021),59万中国电信移动互联网系统与应用安全国家工程实验室2021年专项(2021),15万专利:[1] 王然、李仔振、易畅言、朱琨,一种可再生能源供电的数据中心资源优化调度方法,申请号:202110041643.0,2021年。[2] 王然、姬昂、易畅言、朱琨,一种智能电网中基于同伴效应的需求响应方法,申请号:202010818408.5,2020年。[3] 王然、戴碧坚、朱琨,一种智能电网中基于住宅用户聚类的需求响应方法,申请号:2019106993190,2019年。[4] 王然、陆艺雯、朱琨,一种地理分布式数据中心系统及其调度方法,申请号:201811085171.3,2018年(已授权)。[5] 王然、吴成庆、陈兵,认知无线电网络中面向频谱需求不确定的频谱投资策略,申请号:201711220424.9,2017年(已授权)。[6] 王然、陆艺雯、陈兵,微电网中涉及时间相关可再生能源的发电调度技术,申请号:201711350549.3,2017年。[7] 王然、陆艺雯、陈兵,基于鲁棒优化的绿色数据中心节能任务调度策略,申请号:201711201244.6,2017年(已授权)。[8] 王然,一种充电调度方法、电子设备及存储介质,申请号:201710357318.9,2017年。专著与教材:[1] Ran Wang, Ping Wang and Gaoxi Xiao, “Intelligent Microgrid Management and EV Control under Uncertainties in Smart Grid”, Springer, eBook ISBN 978-981-10-4250-8, Hardcover ISBN 978-981-10-4249-2, Jan. 2018.[2] 陈兵、钱红燕、杜庆伟、赵彦超、郝洁、王然,《网络安全》,清华大学出版社,撰写第七章 “物联网安全技术”,2017年。教育经历2011.8 -- 2016.1南洋理工大学 计算机科学与工程 博士研究生毕业 工学博士学位2007.8 -- 2011.7哈尔滨工业大学 电子信息工程 大学本科毕业 工学学士学位2004.8 -- 2007.6黑龙江省实验中学 理科 普通高中毕业工作经历2019.6 -- 至今南京航空航天大学 副教授2016.4 -- 2019.6南京航空航天大学 讲师授课信息排队论与网络性能分析 /2020-2021 /春学期 /32课时 /0.0学分 /162K0090.01专业英语阅读与写作 /2017-2018 /春学期 /16课时 /0.0学分 /16002010研究领域
能源互联网智能网络与计算下一代移动互联网人工智能应用"计算机网络、能源互联网"近期论文
[1] Q. Wu, R. Wang*, X. Yan, C. Wu and R. Lu, “Intrinsic security: a robust framework for cloud-native network slicing via a proactive defense paradigm”, IEEE Wireless Communications (IF: 11.979), accepted for Publication, 2021.[2] L. Liu, R. Wang* and Gaoxi Xiao, “On the Throughput Optimization for Message Dissemination in Opportunistic Underwater Sensor Networks”, Computer Networks (IF: 3.111), Volume 169, pp. 1-16, 14 March 2020(SCI引用3次).[3] R. Wang, G. Xiao and P. Wang, “Hybrid Centralized-Decentralized (HCD) Charging Control of Electric Vehicles,” IEEE Transactions on Vehicular Technology (IEEE TVT, IF: 5.379), Vol. 66, Issue 8, 2017, pp. 6728 – 6741(SCI引用21次).[4] R. Wang, P. Wang and G. Xiao, “Two-stage Mechanism for Massive Electric Vehicle Charging Involving Renewable Energy,” IEEE Transactions on Vehicular Technology (IEEE TVT, IF: 5.379), Vol. 65, No. 6, 2016, pp. 4159-4171(SCI引用46次).[5] R. Wang, P. Wang and G. Xiao, “A Robust Optimization Approach for Energy Generation Scheduling in Microgrids”, Energy Conversion and Management (ECM, IF: 8.208), Vol. 106, 2015, pp. 597–607(SCI引用63次).[6] R. Wang, P. Wang, G. Xiao and S. Gong, “Power Demand and Supply Management in Microgrids with Uncertainties of Renewable Energies”, International Journal of Electrical Power and Energy Systems (IJEPES, IF: 3.588), Vol. 63, 2014, pp. 260–269(SCI引用52次).[7] Y. Cao, O. Kaiwartya, R. Wang*, T. Jiang, Y. Cao, N. Aslam and G. Sexton, “Towards Efficient, Scalable and Coordinated On-the-move EV Charging Management”, IEEE Wireless Communications Magazine (IEEE WCM), Vol. 24, Issue. 2, Apr. 2017, pp 66-73.[8] C. Yi, J. Cai, K. Zhu and R. Wang, “A Queueing Game Based Management Framework for Fog Computing with Strategic Computing Speed Control”, IEEE Transactions on Mobile Computing, In Press, DOI: 10.1109/TMC.2020.3026194.[9] J. Ji, K. Zhu, D. Niyato and R. Wang, “Joint Trajectory Design and Resource Allocation for Secure Transmission in Cache-enabled UAV-relaying Networks with D2D Communications”, IEEE Internet of Things Journal, vol. 8, no. 3, Feb 2021, pp. 1557-1571.[10] J. Ji, K. Zhu, D. Niyato and R. Wang, “Probabilistic Cache Placement in UAV-assisted Networks with D2D Connections: Performance Analysis and Trajectory Optimization”, IEEE Transactions on Communications, vol. 68, no. 10, Oct. 2020, pp. 6331-6345.[11] C. Dai, K. Zhu, R. Wang and B. Chen, “Contextual Multi-Armed Bandit for Cache-Aware Decoupled Multiple Association in UDNs: A Deep Learning Approach”, IEEE Transactions on Cognitive Communications and Networking, vol. 5, no. 4, Dec. 2019, pp. 1046-1059.[12] L. Liu, R. Wang, and J. Wu, “A Time-inhonogeneous Markov Chain and its Distributed Solutions for Message Dissemination in OUSNs”, Journal of Parallel and Distributed Computing (Elsevier), Volume 130, August 2019, pp. 179-192.[13] L. Liu, R. Wang and J. Wu, “On the adaptive data forwarding in opportunistic underwater sensor networks using GPS-free mobile nodes”, Journal of Parallel and Distributed Computing (Elsevier), Vol. 122, Dec. 2018, pp. 131-144.[14] L. Liu, P. Wang and R. Wang, “Propagation Control of Data Forwarding in Opportunistic Underwater Sensor Networks”, Computer Networks (Elsevier), Vol. 114, 2017, pp. 80-94.[15] R. Wang, G. Xiao, P. Wang, G. Li, Y. Cao, J. Hao and K. Zhu, “Energy Generation Scheduling in Microgrids Involving Temporal-Correlated Renewable Energy”, 2017 IEEE Global Communications Conference (Globecom), Singapore, 3-9 Dec. 2017.[16] R. Wang, P. Wang and G. Xiao, “Two-stage Mechanism Design for Electric Vehicle Charging Involving Renewable Energy”, 2014 International Conference on Connected Vehicles and Expo (ICCVE), Vienna, Austria, 3-7 Nov. 2014.[17] R. Wang, Y. Li, P. Wang and D. Niyato, “Design of a V2G aggregator to optimize PHEV charging and frequency regulation control”, IEEE SmartGridComm, Vancouver, Canada, 21-24 Oct. 2013.[18] A. Ji (my Master Student), R. Wang*, K. Zhu, Z. Xiong and D. Niyato, “Peer Effect-based Demand Response in Smart Grid: A Game Theoretical Approach”, 2020 IEEE Global Communications Conference (Globecom), 8-10 Dec. 2020, Taipei, Taiwan, China.[19] B. Dai (my Master Student), R. Wang*, K. Zhu, J. Hao and P. Wang, “A Demand Response Scheme in Smart Grid with Clustering of Residential Customers”, 2019 SmartGridComm, 21-23 October 2019, Beijing, China.[20] Y. Lu (my Master Student), R. Wang*, P. Wang, Y. Cao, J. Hao and K. Zhu, Energy-Efficient Task Scheduling for Data Centers with Unstable Renewable Energy: A Robust Optimization Approach, 2018 IEEE Greencom, Jul. 30-Aug. 3, 2018, Halifax, Canada.[21] C. Wu (My Master Student), R. Wang*, P. Wang, Y. Cao, L. Liu, K. Zhu and B. Chen, “On the Profit Maximization of Spectrum Investment under Uncertainties in Cognitive Radio Networks”, 2018 IEEE International Conference on Communications (ICC), 20-24 May 2018, Kansas City, MO, USA.[22] H. Wang (My Master Student), R. Wang*, H. Xu, K. Zhu, C. Yi, D. Niyato, \受邀担任2018 、2019、2020、2021IEEE VTC, IWCMC 的会议技术委员会成员(TPC member),担任IEEE TSG, IEEE TWC, IEEE TPDS, IEEE TVT等期刊和IEEE INFOCOM, IEEE ICC, IEEE SmartGridComm, IEEE Globecom等会议的论文评审人 相关热点
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