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吴华明

吴华明

职称:
讲师
院系:
应用数学中心
电子邮箱:
whming@tju.edu.cn
办公地点:
卫津路校区25教

研究方向

移动云计算; 移动边缘计算; 无线通信; 随机网络; 深度学习

教育背景

2005.09 - 2009.07 哈尔滨工业大学(威海)    本科/学士
2009.09 - 2011.07 哈尔滨工业大学              研究生/硕士
2011.09 - 2015.11 德国 柏林自由大学(Freie Universtät Berlin)   研究生/博士(summa cum laude, 最高荣誉)
 

工作经历

2010.06 - 2010.08    韩国  光州科学技术院KAIST      实习生
2016.05 -  今            天津大学应用数学中心          讲师

教学工作

《概率论与数理统计》48学时

科研工作

2017-2018:主持,端-云系统基于时延和能耗的任务卸载,华为创新研究计划(HIRP)项目,项目号:HIRPO2017050307.
2018-2021:主持,移动云计算环境下的多目标任务卸载决策研究,天津市自然科学基金项目
2018-2019:主持,新一代信息技术热点调研与发展趋势展望,阿里活水计划课题项目
2018-2019:主持,创新人才培养项目:天津大学博士研究生学术论坛—数学学院分论坛(应用数学与多学科交叉)

 

主要荣誉

德国博士学位(summa cum laude, top 3%, 最高荣誉奖 2015)
Student Travel Grant  ACM Sigmetrics, 2013

学术兼职

  • Wireless Communications and Mobile Computing (SCI), SI on Deep Learning Driven Wireless Communications and Mobile Computing, Lead Guest Editor, link
  • Work in Progress and Vision Track Chair, Program Committee, ACM International Conference on Performance Engineering (ICPE), 2019 in Mumbai, India.
  • Publicity Chair and Program Committee, ACM International Conference on Performance Engineering (ICPE), 2018 in Berlin, Germany.
  • Program Committee, 15th European Performance Engineering Workshop (EPEW2018 in Paris, France.
  • Program Committee, Conference on Quantitative Evaluation of SysTems (QEST) 2018 in Beijing.
  • Student Forum Chair and Program Committee, Conference on Quantitative Evaluation of SysTems (QEST) 2017 in Berlin, Germany.

  • Program Committee, 14th European Performance Engineering Workshop (EPEW) 2017 in Berlin, Germany.

    IEEE 会员,ACM 会员,中国计算机学会CCF 会员, 中国数学会会员
    Journal Reviewer:
    IEEE Transactions on Industrial Informatics (TII)
    IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
    IEEE Transactions on Communications (TCOM)
    IEEE Transactions on Wireless Communications (TWC)
    IEEE Transactions on Image Processing (TIP)
    IEEE Transactions on Services Computing (TSC)
    IEEE Transactions on Cloud Computing (TCC)
    IEEE Transactions on Multi-Scale Computing Systems (TMSCS)
    IEEE Access
    Journal of Network and Computer Applications (JNCA)
    Future Generation Computer Systems (FGCS)
    Performance Evaluation (PEVA)
    Sensors
    SCIENCE CHINA Information Sciences (SCIS)
    ......

其它

发表论文

  • 点击下载

    1.Wu, H., and Wolter, K., Stochastic Analysis of Delayed Mobile Offloading in Heterogeneous Networks, IEEE Transactions on Mobile Computing, 17(2), 461-474, 2018.

  • 2.Wu, H., Yi, S., and Wolter, K., Energy-Efficient Decision Making for Mobile Cloud Offloading, IEEE Transactions on Cloud Computing, to appear, 2018.

  • 3.Meng T., Wolter, K., Wu, H. and Wang, Q., A Secure and Cost-efficient Offloading Policy for Mobile Cloud Computing against Timing Attacks, Pervasive and Mobile Computing, 45, 4-18, 2018.

  • 4.Chen, Z. L., Wang, J., Li, W. J., Li, N., Wu, H. M., & Wang, D. W. Convolutional neural network with nonlinear competitive units. Signal Processing: Image Communication. 60 ,193-198, 2018

  • 5.Wu, H., Multi-Objective Decision-Making for Mobile Cloud Offloading: A Survey, IEEE Access, vol. 6, pp. 3962 - 3976, 2018.

  • 6.Wu, B., Chen, Z., Wang, J., & Wu, H. (2018). Exponential discriminative metric embedding in deep learning. Neurocomputing, 290, 108-120.

  • 7.Wu, H., Knottenbelt, W., Wolter, K., & Sun, Y. (2016). An Optimal Offloading Partitioning Algorithm in Mobile Cloud Computing. In International Conference on Quantitative Evaluation of Systems (pp. 311-328). Springer International Publishing.

  • 8.Wu, H., Sun, Y., & Wolter, K. (2015) Analysis of the Energy-Response Time Tradeoff for Delayed Mobile Cloud Offloading. ACM SIGMETRICS Performance Evaluation Review, 43(2), 33-35.

  • 9.Wu, H. (2015). Analysis of mHealth Systems with Multi-cloud Computing Offloading. In Mobile Health (pp. 589-608). Springer International Publishing.

  • 10.Wu, H., Knottenbelt, W. J. & Wolter, K. (2015) Analysis of the Energy-Response Time Tradeoff for Mobile Cloud Offloading using Combined Metrics, Teletraffic Congress (ITC), 2015 27th International (pp. 134-142). IEEE.

  • 11.Wu, H., Wang, Q., & Wolter, K. (2013). Tradeoff Between Performance Improvement and Energy Saving in Mobile Cloud Offloading Systems. In Communications (ICC), 2013 IEEE International Conference on (pp. 728-732). IEEE.

  • 12.Wu, H., Wang, Q., & Wolter, K. (2012). Methods of cloud-path selection for offloading in mobile cloud computing systems. In Cloud Computing Technology and Science (CloudCom), 2012 IEEE 4th International Conference on (pp. 443-448). IEEE.

联系我们

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邮箱:maths@tju.edu.cn
电话:+86 (0)22 27402850
传真:+86 (0)22 27402850

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