王然研究生导师介绍
姓名王然 性 别:  行政职务 :
专业技术职务讲师 办公电话025-84896490-16 导师类别硕士生导师
最后学历博士毕业 最后学位博士 最后毕业学校新加坡南洋理工大学
电子邮件wangran@nuaa.edu.cn  
工作单位计算机科学与技术学院    
学科研究方向一:
专业名称计算机科学与技术 (招收硕士研究生)                                                                  学科代码11081200
祝贺我的硕士生陆艺雯同学获得2018年度研究生国家奖学金(8 in about 800 students in CCST)

About Me
I received the B.E. degree in electronic and information engineering from the Honors School, Harbin Institute of Technology, China, in 2011, and the Ph.D. degree in computer science and engineering from Nanyang Technological University (NTU), Singapore, in 2016. I was a Research Fellow with the School of Electrical and Electronic Engineering, NTU, from 2015 to 2016. I am currently an Assistant Professor with the College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, and the Collaborative Innovation Center of Novel Software Technology and Industrialization, Nanjing, China. I have authored or co-authored over 30 papers in top-tier journals and conferences. My current research interests include intelligent management and control in smart grid, network performance analysis, and evolution of complex networks. I received the Nanyang Engineering Doctoral Scholarship Award, Singapore, and the Innovative and Entrepreneurial Ph.D. Award of Jiangsu Province, China, in 2011 and 2017, respectively.

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讲师,硕士生导师。2011年7月本科毕业于哈尔滨工业大学英才学院电子信息工程专业,2016年4月博士毕业于新加坡南洋理工大学计算机科学与工程学院,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、智能电网方向的研究。2016年入职南航以来主持国家自然科学基金青年项目(26万)、江苏省自然科学基金青年项目(20万)、中国计算机协会-腾讯犀牛鸟基金(全世界155项申请中只有14人获得,资助率14.1%)、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;发高水平表科研论文30篇,其中期刊论文13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17篇(均为EI),在国际会议做大会报告4次;Google Scholar他引400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5项。受邀担任2018 IEEE VTC Fall 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。

Research Interest
Internet of Electric Vehicles (IoEV), Smart Grid, Evolution of Complex Networks, Optimization Theory.
个人简历(学历、学术经历及社会兼职):


发表学术论文,出版专著情况:
Publication List

Books
1. R. Wang, P. Wang and G. Xiao, “Intelligent Microgrid Management and EV Control Under Uncertainties in Smart Grid,” Springer Nature, 2017, ISBN 978-981-10-4249-2, ISBN 978-981-10-4250-8 (eBook).
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。

Journal Papers (published/accepted):
[1] R. Wang, Y. Lu, K. Zhu, J. Hao, P. Wang and Y. Cao, “An Optimal Task Placement Strategy in Geo-Distributed Data Centers involving Renewable Energy”, IEEE Access, Impact Factor: 3.557,Vol. 6, pp. 61948-61958, Dec. 2018.
[2] R. Wang, G. Xiao and P. Wang, “Hybrid Centralized-Decentralized (HCD) Charging Control of Electric Vehicles,” IEEE Transactions on Vehicular Technology (IEEE TVT), Vol. 66, Issue 8, 2017, pp. 6728 – 6741, Impact Factor: 4.432.
[3] 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), Vol. 65, No. 6, 2016, pp. 4159-4171, Impact Factor: 4.432.
[4] R. Wang, P. Wang and G. Xiao, “A Robust Optimization Approach for Energy Generation Scheduling in Microgrids”, Energy Conversion and Management (ECM), Vol. 106, 2015, pp. 597–607, Impact Factor: 6.377.
[5] 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), Vol. 63, 2014, pp. 260–269, Impact Factor: 3.610.
[6] Y. Cao, O. Kaiwartya, R. Wang (Corresponding Author), 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, Impact Factor: 9.202.
[7] L. Liu, R. Wang, 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, Impact Factor 1.815 (CCF rank B).
[8] 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, Impact Factor: 2.522 (CCF rank B).
[9] G. Li, P. Tang, C. Ma, R. Wang, G. Xiao and L. Shi, “Matrix Function Optimization under Weighted Boundary Constraints and Its Applications in Network Control”, ISA Transactions, Impact Factor: 2.59, accepted for publication.
[10] J. Hao, R. Wang, B. Zhang, Y. Zhuang, and B. Chen, “Compressed Sensing based Joint Rate Allocation and Routing Design in Wireless Sensor Networks”, Wireless Communications and Mobile Computing, 2018 (CCF rank C).
[11] J. Hao, X. Yuan, Y. Yang, R. Wang, Y. Zhuang, and J. Luo, “Visible Light based Occupancy Inference using Ensemble Learning”, IEEE Access, vol. 6, 2018, Impact Factor: 3.557.
[12] J. Ji, K. Zhu, R. Wang, B. Chen and C. Dai, “Energy Efficient Caching in Backhaul-Aware Networks with Dynamic Content Popularity”, Wireless Communications and Mobile Computing, 2018 (CCF rank C).
[13] L. Xu, K. Zhu, R. Wang, S. Gong, “Performance Analysis of RF-Powered Cognitive Radio Networks with Integrated Ambient Backscatter Communications”, Wireless Communications and Mobile Computing, 2018 (CCF rank C).

Conference Papers (published/accepted):
[1] 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.
[2] R. Wang, G. Xiao and P. Wang, “Optimal Route Selection under Unknown and Stochastic Link States in City Traffic Networks”, in Proceedings of 14th ITSAPF, Nanjing, China, 27-29 April 2015.
[3] 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.
[4] 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.
[5] Z. Li, K. Zhu, R. Wang and Y. Xu, “Context-Aware Decoupled Multiple Association in Ultra-Dense Networks”, IEEE Globecom 2018, 9-13 Dec. 2018, Abu Dhabi, UAE.
[6] J. Hao, R. Wang, Y. Zhuang and B. Zhang, “A Flexible Network Utility Optimization Approach for Energy Harvesting Sensor Networks”, IEEE Globecom 2018, 9-13 Dec. 2018, Abu Dhabi, UAE.
[7] 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, IEEE Greencom 2018, Jul. 30-Aug. 3, 2018, Halifax, Canada.
[8] J. Ji, K. Zhu, R. Wang and J. Hao, “Energy Efficient Caching in Backhaul-aware Ultra-dense Cellular Networks”, IEEE Greencom 2018, Jul. 30-Aug. 3, 2018, Halifax, Canada.
[9] X. Yuan, R. Wang, Y. Zhuang, K. Zhu and J. Hao, “A Concept Drift based Ensemble Incremental Learning Approach for Intrusion Detection”, IEEE Greencom 2018, Jul. 30-Aug. 3, 2018, Halifax, Canada.
[10] 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.
[11] L. Xu, K. Zhu, R. Wang, S. Gong, “Performance Analysis of Ambient Backscatter Communications in RF-Powered Cognitive Radio Networks”, 2018 IEEE Wireless Communications and Networking Conference (WCNC), 15-18 Apr. 2018, Barcelona, Spain.
[12] M. Sun, H. Qian, K. Zhu, D. Guan and R. Wang, “Ensemble Learning and SMOTE Based Fault Diagnosis System in Self-organizing Cellular Networks”, 2017 IEEE Global Communications Conference (Globecom), Singapore, 3-9 Dec. 2017.
[13] X. Zhang, H. Qian, K. Zhu, R. Wang and Y. Zhang, “Virtualization of 5G Cellular Networks: A Combinatorial Double Auction Approach”, 2017 IEEE Global Communications Conference (Globecom), Singapore, 3-9 Dec. 2017.
[14] Y. Cao, N. Aslam, R. Wang and X. Chen, “A Vehicle-to-Vehicle (V2V) Driven Reservation Based On-the-move EV Charging Management”, 2017 International Wireless Communications and Mobile Computing Conference (IWCMC), 26-30 Jun. 2017.
[15] K. Zhu, Z. Cheng, B. Chen and R. Wang, “Wireless Virtualization as a Hierarchical Combinatorial Auction: an Illustrative Example”, IEEE Wireless Communications and Networking Conference (WCNC), San Francisco, CA, USA, 19-22 Mar. 2017.
[16] L. Liu, R. Wang, D. Guo and X. Fan, “Message Dissemination for Throughput Optimization in Storage-limited Opportunistic Underwater Sensor Networks”, IEEE SECON, London, UK, 27-30 Jun. 2016.
[17] Y. Li, R. Wang, P. Wang, D. Niyato, W. Saad, and Z. Han, “Resilient PHEV charging policies under price information attacks”, IEEE SmartGridComm, Tainan City, Taiwan, 5-8 Nov. 2012.


科研成果获奖及专利:
Patent (专利):
[1] 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,受理号:201711220424.9,2017年。
[2] 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,受理号:201711350549.3,2017年。
[3] 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,受理号:201711201244.6,2017年。
[4] 王然,一种充电调度方法、电子设备及存储介质,受理号:201710357318.9,2017年。
[5] 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,受理号:201811085171.3,2018年。

承担的科研项目情况:
[1] 国家自然科学基金青年项目(2018),项目号:61801215,26 万,主持
[2] 江苏省自然科学基金青年项目(2016),项目号:BK20160812,20 万,主持
[3] 江苏省双创博士资助(2017),15 万,主持
[4] CCF-腾讯犀牛鸟创意基金(2016),项目号:CCF-Tencent IAGR20160104,3 万,主持
[5] 中央高校基础科研业务费(2017),项目号:NS20170712,10 万,主持
[6] 国家博士后科研基金面上项目(2017),项目号:2017M611806,5 万,主持
[7] 江苏省博士后 A 类资助(2017),项目号:1701137A,6 万,主持
[8] 南京航空航天大学科研启动金(2016),6 万,主持
[9] 物联网统一入口的身份认证系统解决方案(2018),项目号:NJXDL-NUAA-201701,10 万,主持
[10] 嵌入式物体检测系统的研究与实现(2018),项目号:JMT-NUAA -20171220,5 万,主持
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