报告题目：Big Data Analysis and Cross-Layer Optimization for Communication, Caching and Computing (C^3) Networks

报告人：Dr. Zhu Han

报告时间：2019年8月12日（周一）上午9:00时

报告地点：地质宫330海光学术报告厅

主办单位：仪器科学与电气工程学院

Abstract:

The recent advances of computing, caching, and communication (C^3) can have significant impacts on the future network design. In addition, there are many new technologies for big data analysis and cross-layer optimization. In this talk, we limit our scope to three specific cases, while want to give insights. First, a new formulation for bandwidth allocation and routing problem is formulated for wireless network virtualization, and the decomposition algorithms are constructed using the alternating direction method of multipliers that can be implemented in a parallel and distributed fashion. Second, the caching based D2D communication scheme is investigated by taking social ties among users and common interests into consideration, and the matching framework are employed for optimization. Third, we consider mobile social networks together with C^3 networks using machine learning to automatically make a decision for optimally allocating the network resources.

Bio: Zhu Han received the B.S. degree in electronic engineering from Tsinghua University, in 1997, and the M.S. and Ph.D. degrees in electrical engineering from the University of Maryland, College Park, in 1999 and 2003, respectively. From 2000 to 2002, he was an R&D Engineer of JDSU, Germantown, Maryland. From 2003 to 2006, he was a Research Associate at the University of Maryland. From 2006 to 2008, he was an assistant professor in Boise State University, Idaho. Currently, he is a John and Rebecca Moores Professor in Electrical and Computer Engineering Department as well as Computer Science Department at University of Houston, Texas. His research interests include security, wireless resource allocation and management, wireless communication and networking, game theory, and wireless multimedia. Dr. Han is an NSF CAREER award recipient 2010. Dr. Han has several IEEE conference best paper awards, and winner of 2011 IEEE Fred W. Ellersick Prize, 2015 EURASIP Best Paper Award for the Journal on Advances in Signal Processing and 2016 IEEE Leonard G. Abraham Prize in the field of Communication Systems (Best Paper Award for IEEE Journal on Selected Areas on Communications). Dr. Han has been IEEE fellow since 2014 and IEEE Distinguished Lecturer from 2015 to 2018. Dr. Han is 1% highly cited researcher according to Web of Science since 2017.

报告摘要：通讯、缓存和计算技术（C^3）的最新进展会对未来网络设计产生重大影响，此外，大数据分析和交叉层优化领域产生很多新技术。在本次报告中，我们把讨论范围限制在三个具体的实例，希望通过这些实例表述我们的学术观点。首先，推导了虚拟无线网络中用于解决带宽分配和路由问题的公式，采用可以通过并行和分布式模式实现的可变方向多路复用选择器构建了分解算法。然后，通过加入用户间的社会关系和共同利益因素，研究了基于D2D（Device to Device）通讯架构的缓存方法，并采用配对结构进行优化；第三，我们应用机器学习方法考虑了移动社会网络和C3网络，来自动优化网络资源分配。

报告人简介：Zhu Han于1997年获得清华大学电子工程专业学士，分别于1999和2003年获得马里兰大学帕克分校电气工程硕士和博士学位。2000-2002年在马里兰洲JDSU公司担任研发工程师。2003-2006年在马里兰大学担任研究助理职位，2006-2008年，担任爱达荷州博伊西州立大学助理教授。目前，他是得克萨斯州休斯敦大学电气与计算机工程系、计算机科学系“John and Rebecca Moores Professor”称号特聘教授；他的研究领域包括网络完全、无线资源分配与管理、无线通讯与组网、博弈论、无线电多媒体。Dr. Han获得多个IEEE会议最佳论文奖，他是2011年IEEE Fred W. Ellersick奖、2015《Journal on Advances in Signal Processing》杂志 EURASIP最佳论文奖、2016年IEEE通讯系统领域Leonard G. Abraham 奖（IEEE Journal on Selected Areas on Communications最佳论文奖）等多个奖项获得者。Dr. Han于2014年被评为IEEE Fellow（IEEE院士）、2015-2018年IEEE Distinguished Lecturer。Dr. Han是2017年Web of Science前1%高索引论文研究者。Dr. Han共获得15项美国国家自然科学基金、美国国防部、内务部等科研项目资助，累计科研经费超过400万美元，在剑桥大学出版社出版专著7本，共发表406篇期刊论文、超过400篇会议论文，google引用超过33000次，H因子91。