北京航空航天大学导师教师信息介绍简介-郑旷宇

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个人简历

郑旷宇，男，电子信息工程学院准聘副教授。美国俄亥俄州立大学（The Ohio State University）计算机工程专业博士，北京航空航天大学信息与通信工程专业硕士、电子信息工程专业学士。
Kuangyu Zheng is currently an Associate Professor, in the School of Electronic and Information Engineering, Beihang University. He has received his Ph.D. and M.S. degrees in Computer Engineering, from The Ohio State University, Columbus, Ohio, USA, in 2018 and 2013, respectively. He has also received his M.E. degree in Communication Engineering and B.E. degree in Electronic and Information Engineering, both from Beihang University, in 2011 and 2008, respectively.
主要研究方向为高能效通信计算机系统及网络（例如: 数据中心及网络，云/边缘/移动计算，5G/6G通信系统与应用, 人工智能基础设施，物联网，智能驾驶安全辅助系统等）。近年发表高水平论文十余篇，包括领域重要会议（INFOCOM，RTSS，ICDCS，IPDPS) 5篇、领域重要期刊（TPDS，TCC，TNSM）3篇。目前一作单篇最高他引90余次、SCI单篇他引30余次（INFOCOM 2014）。任多个国际期刊（TPDS, TC, TCC, TCOM，TNSM等）及会议（INFOCOM, ICDCS, IWQoS，ICPP等）审稿人。曾任国际会议 ICAC 2017注册主席。
2017年7月至12月，在微软亚洲研究院云与移动计算组(Cloud and Mobile Group, MSRA)实习，从事人工智能基础设施（AI Infrastructure）研究，参与微软数据中心FPGA集群自动化资源管理项目，实现深度学习、网络安全等应用加速。
His current research interests focus on Energy-efficient communication, computer and network systems (e.g., Data center and Data center network; Cloud/Edge/Mobile computing; 5G/6G communication systems and applications; AI infrastructure; IoT; V2V network, ADAS). He is the reviewer of some renowned international conferances (e.g., INFOCOM, RTSS, ICDCS, IPDPS, etc.) and journals (TPDS, TC, TCC, TCOM, TNSM, etc.). He was the Registration Chair of ICAC 2017.
He has been a research intern in the Cloud and Mobile Group at Microsoft Research Asia, between 2017.07 to 2017.12, participating projects on AI Infrastructure, e.g. doing research of automatic resource management of FPGA clusters of MS cloud, for acceleration of Deep Learning and Network Security applications.
部分论文 | Selected Publications (Full list: Google Scholar)
国际会议 | Conference Papers

[C8] Yunhao Bai, Zejiang Wang, Kuangyu Zheng, Xiaorui Wang, and Junmin Wang, “WiDrive: Adaptive WiFi-based Recognition of Driver Activity for Real-time and Safe Takeover”, IEEE International Conference on Distributed Computing Systems(ICDCS 2019), July 2019. (Acceptance rate: 19.6%)（CCF B类）
[C7] Yunhao Bai, Kuangyu Zheng, Zejiang Wang, Xiaorui Wang, and Junmin Wang, "Dynamic Channel Selection for Real-time Safety Message Communication in Vehicular Networks", IEEE Real-Time Systems Symposium (RTSS 2018), December 2018. (Acceptance rate: 37/166 = 22%)（CCF A类）
[C6] Kuangyu Zheng and Xiaorui Wang, "Dynamic Control of Flow Completion Time for Power Efficiency of Data Center Networks", IEEE International Conference on Distributed Computing Systems(ICDCS 2017), June 2017. (Acceptance rate: 90/531 = 16%) （CCF B类）
[C5] Kuangyu Zheng, Xiaorui Wang, and Jia Liu, "DISCO: Distributed Traffic Flow Consolidation for Power Efficiency of Data Center Network", IFIP Networking Conference(Networking 2017), June 2017. (Acceptance rate: 43/150 = 28%)
[C4] Kuangyu Zheng, Bruce Beitman, and Xiaorui Wang, “CoSmart: Coordinating Smartphone with Desktop Computer for Joint Energy Savings”, IEEE International Conference on Autonomic Computing(ICAC 2017), July 2017. (Acceptance rate: 14/73 = 19%)
[C3] Kuangyu Zheng, Xiaodong Wang, and Xiaorui Wang, “PowerFCT: Power Optimization of Data Center Network with Flow Completion Time Constraints”, IEEE International Parallel and Distributed Processing Symposium(IPDPS 2015), May 2015. (Acceptance rate:108/496= 21%)（CCF B类）
[C2] Kuangyu Zheng, Xiaodong Wang, Li Li, and Xiaorui Wang, “Joint Power Optimization of Data Center Network and Servers with Correlation Analysis”, IEEE International Conference on Computer Communications(INFOCOM 2014), April 2014. (Acceptance rate: 320/1645 = 19%)（CCF A类，他引95次，SCI他引37次）
[C1] Qing Wu, Kuangyu Zheng, Qiao Li, and Huagang Xiong, “Design and Implementation of Sub-GHz Transmitter for Ultra-Wideband Through-Wall Radar”, IEEE International Conference on Ultra-Wideband (ICUWB 2010), September 2010.
国际期刊 | Journal Papers
[J5] Kuangyu Zheng, Xiaorui Wang, and Jia Liu, “DistributedTraffic Flow Consolidation for Power Efficiency of Large-scale Data CenterNetwork”, IEEE Transactions on Cloud Computing (TCC). Accepted, January 2020. （SCI Q1区, IF: 5.967）
[J4] Kuangyu Zheng, Yunhao Bai, and Xiaorui Wang, “FCTcon: Dynamic Control of Flow Completion Time in Data Center Networks for Power Efficiency”, IEEE Transactions on Cloud Computing (TCC). Accepted, April 2019. （SCI Q1区, IF: 7.928）

[J3] Kuangyu Zheng, Wenli Zheng, Li Li, and Xiaorui Wang, “PowerNetS: Coordinating Data Center Networkwith Servers and Cooling for Power Optimization”, IEEE Transactions on Network and Service Management (TNSM) 14(3): 661-675, September 2017. （SCI Q1区, IF: 3.286）

[J2] Xiaodong Wang, Xiaorui Wang, Kuangyu Zheng, Yanjun Yao, and Qing Cao, "Correlation-Aware Traffic Consolidation for Power Optimization of Data Center Networks", IEEE Transactions on Parallel and Distributed Systems (TPDS), 27(4): 992-1006, April 2016（SCI Q1区, IF:3.971, CCF A类）
[J1] Tianliang Zheng, Yuehong Wang, Kuangyu Zheng, Qian Li, Ye Tao, "Electromagnetism and absorptivity of the modified micro-coiled chiral carbon fibers", Chinese Journal of Aeronautics 20.6 (2007): 559-563. （SCI Q1区, IF: 1.693）

教育经历

工作经历

社会兼职

[1]期刊审稿人：
IEEE Transactions on Parallel and Distributed Systems (TPDS) [CCF A类, SCI Q1区]
IEEE Transactions on Computers (TC) [CCF A类, SCI Q1区]
IEEE Transactions on Cloud Computing (TCC) [SCI Q1区]
IEEE Transactions on Communications (TCOM) [CCF B类, SCI Q1区]
IEEE Transactions on Network and Service Management (TNSM) [SCI Q1区]
MDPI Sensors [SCI Q1区]
IEEE Transactions on Sustainable Computing (TSUSC)
IEEE Transactions on Green Communications and Networking (TGCN)

[2]大会注册主席： USENIX International Conference on Autonomic Computing (ICAC 2017)
[3]程序委员会委员：40th IEEE International Conference on Distributed Computing Systems（ICDCS 2020），Demo & Poster Session

研究方向

[1] 高能效通信计算机系统及网络；能耗、性能联合优化，绿色计算；数据中心及网络；云计算, 边缘计算，移动计算；5G/6G通信系统与应用；人工智能基础设施；物联网；车联网，安全驾驶辅助系统。
Energy-efficient communication, computer, and network systems; Green computing; Data center and network; Cloud/Edge/Mobile computing; 5G/6G system; AI infrastructure; IoT; V2V network, ADAS.