个人简历

教育与工作经历
　　郭泽华拥有西北工业大学学士学位、西安电子科技大学硕士学位和西北工业大学博士学位。先后在蓝汛通信（ChinaCache）担任研发经理，在滴滴出行担任高级软件工程师，在美国纽约大学（NYU）Tandon工程学院电气与计算机工程系担任研究员，在美国明尼苏达大学双城分校（UMN）计算机科学与工程系担任博士后研究员

研究领域

1. 可编程网络：软件定义网络（SDN）和网络功能虚拟化（NFV）
　　2. 云计算和数据中心网络
　　3. 机器学习
　　4. 边缘计算和内容分发网络（CDN）
　　5. 网络安全"发明专利
1.基于强化学习的数据中心网络能耗和服务质量优化方法，申请号：202010308862.6.
2.一种在软件定义网络中实现控制器负载均衡的方法，申请号：202010094237.6.
3.一种云环境下截止期预算驱动的科学工作流调度方式，申请号：201911089637.1.
4.一种提高多工作流可靠性的节能调度方法，申请号：201911113879X.
5.一种容错控制方法、装置及容错构件，申请号：201810368148.
6.生成心理声学模型的方法及装置，专利号：ZL201010123999.0.
近5年承担的科研项目
　　参与国家科技支撑计划项目、中欧智慧城市合作框架项目、美国国家科学基金（NSF）项目和纽约大学项目等，共计9项"

近期论文

代表性学术论文
　　共发表高水平期刊和会议论文40余篇，其中中国计算机协会（CCF） 推荐A类和B类论文18篇，中科院1区和2区论文16篇，详情请见个人主页https://guolizihao.github.io/ 。
1.Zehua Guo, Weikun Chen, Ya-Feng Liu, Yang Xu, and Zhi-Li Zhang, Joint Switch Upgrade and Controller Deployment in Hybrid Software-Defined Networks, IEEE Journal on Selected Areas in Communications, 2019, vol.37, no. 5, pp.1012-1028. (IF:9.302, CCF A)
2.Penghao Sun, Zehua Guo, Junchao Wang, Junfei Li, Julong Lan, and Yuxiang Hu, DeepWeave: Accelerating Job Completion Time with Deep Reinforcement Learning-based Inter-Coflow Scheduling, 29th International Joint Conference on Artificial Intelligence (IJCAI’20). (CCF A, 录用率592/4717=12.6%)
3.Junjie Zhang, Minghao Ye, Zehua Guo, Chen-Yu Yen, and H. Jonathan Chao, CFR-RL: Traffic Engineering with Reinforcement Learning in SDN, IEEE Journal on Selected Areas in Communications, 2020. (IF:9.302, CCF A)
4.Yang Xu, Shikhar Shukla, Zehua Guo, Sen Liu, Adrian S.-W. Tam, Kang Xi, and H. Jonathan Chao, RAPID: Avoiding TCP Incast Throughput Collapse in Public Clouds with Intelligent Packet Discarding. IEEE Journal on Selected Areas in Communications, 2019, vol.37, no. 8, pp.1911-1923. (IF:9.302, CCF A)
5.Zehua Guo, Songshi Dou, and Wenchao Jiang, Improving the Path Programmability for Software-Defined WANs under Multiple Controller Failures, IEEE/ACM International Symposium on Quality of Service 2020 (IWQoS’20). (CCF B)
6.Penghao Sun, Zehua Guo, Gang Wang, Julong Lan, and Yuxiang Hu, MARVEL: Enabling Controller Load Balancing in Software-Defined Networks with Multi-Agent Reinforcement Learning, Elsevier Computer Networks, 2020. (IF:3.03, CCF B)
7.Penghao Sun, Zehua Guo, Sen Liu, Julong Lan, Junchao Wang, and Yuxiang Hu, SmartFCT: Improving Power-Efficiency for Data Center Networks with Deep Reinforcement Learning, Elsevier Computer Networks, 2020. (IF:3.03, CCF B)
8.Zehua Guo, Sen Liu, and Zhi-Li Zhang, Traffic Control for RDMA-enabled Data Center Networks: A Survey, IEEE Systems Journal, 2020, vol.14, no.1, pp.677-688. (IF:4.463)
9.Zehua Guo, Wendi Feng, Sen Liu, Wenchao Jiang, Yang Xu, and Zhi-Li Zhang, RetroFlow: Maintaining Control Resiliency and Flow Programmability for Software-Defined WANs, IEEE/ACM International Symposium on Quality of Service 2019 (IWQoS'19). (CCF B)
10.Zehua Guo, Yang Xu, Ruoyan Liu, Andrey Gushchin, Kuan-yin Chen, Anwar Walid, and H. Jonathan Chao, Balancing Flow Table Occupancy and Link Utilization in Software-Defined Networks, Elsevier Future Generation Computer Systems, 2018, vol.89, pp.213-223. (IF: 5.768)
11.Tao Wang, Zehua Guo, Hongchang Chen, and Wei Liu, BWManager: Mitigating Denial of Service Attacks in Software-Defined Networks through Bandwidth Prediction, IEEE Transactions on Network and Service Management, 2018, vol.15, no.4, pp.1235-1248. (IF: 4.682)
12.Zehua Guo, Ruoyan Liu, Yang Xu, Andrey Gushchin, Anwar Walid, and H. Jonathan Chao, STAR: Preventing Flow-table Overflow in Software-Defined Networks, Elsevier Computer Networks, 2017, vol.125, pp.15-25. (IF:3.03, CCF B)
13.Zehua Guo, Shufeng Hui, Yang Xu, and H. Jonathan Chao, Dynamic Flow Scheduling for Power-efficient Data Center Networks, IEEE/ACM International Symposium on Quality of Service 2016 (IWQoS'16). (CCF B)
14.Zehua Guo, Yang Xu, Marco Cello, Junjie Zhang, Zicheng Wang, Mingjian Liu, and H. Jonathan Chao, JumpFlow: Reducing Flow Table Usage in Software- Defined Networks, Elsevier Computer Networks, 2015, vol.92, pp.300-315. (IF:3.03, CCF B)
15.Zehua Guo, Mu Su, Yang Xu, Zhemin Duan, Luo Wang, Shufeng Hui, and H. Jonathan Chao, Improving the Performance of Load Balancing in Software-Defined Networks through Load Variance-based Synchronization, Elsevier Computer Networks, 2014, vol.68, pp.95-109. (IF:3.03, CCF B)
1.Senior Member of IEEE, IEEE ComSoc
2.CCF Member
3.Associate Editor: IEEE Access, Springer EURASIP Journal on Wireless Communications and Networking
4.Editor: KSII Transactions on Internet and Information Systems
5.Guest Editor: Elsevier Journal of Parallel and Distributed Computing
6.Session Chair: IEEE ICC 2018
7.Technical Program Committee Member: Elsevier Computer Communications, ICCCN 2020, ICA3PP 2020, CSCloud 2020, SmartCloud 2020, SPDE 2020, GLOBECOM 2019 Workshop
8.Journal Reviewer: IEEE COMST, IEEE JSAC, IEEE/ACM TON, IEEE TPDS, IEEE TNSM, IEEE TCC, IEEE Communications Magazine, IEEE Network, IEEE Access, IEEE IoT, IEEE COMML, IEEE Sensors Journal, Elsevier COMNET, Elsevier COMCOM, Elsevier FGCS, Elsevier JNCA, Elsevier Information Sciences, Elsevier SCS, Elsevier Computers & Electrical Engineering, Elsevier Sustainable Computing, Elsevier Ad Hoc Networks …
9.Conference Reviewer: IEEE ICPP, IEEE GLOBECOM, IEEE ISCC, ACM MSWiM, IEEE HPSR, IEEE TENSYMP, IFIP Networking, IEEE TrustCom, ACM CHANTS …