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2017-05-12  

Xuemin (Sherman) Shen (University of Waterloo)

Title: From Ubiquitous Connection to Immersive Experience: Research and Experiments on Vehicular Ad Hoc Networks

Abstract: We have witnessed recently the significant progress in research and implementation of Vehicular Ad Hoc Networks (VANETs), which emerges as a promising approach to improve road safety, facilitate vehicle traffic management, and support infotainment applications. In this presentation, we discuss state-of-the-art research and experiments of VANETs carried out at the BBCR Lab, University of Waterloo. First, we highlight some research results including VANETs capacity analysis, content distribution, MAC protocol design, data offloading, heterogeneous networks accessing, and ITS applications. Then, we demonstrate some real world VANETs experiments and implementations conducted in BBCR Lab. Finally, we show our proposed Space-Air-Ground Integrated VANETs architecture. Through cooperating with satellites, HAPs and UAVs to enhance connectivity and extend capacity, the Space-Air-Ground Integrated VANETs are expected to provide ubiquitous connection and immersive experience for vehicle users.

Bio: Xuemin (Sherman) Shen is a University Professor and Associate Chair for Graduate Studies, Department of Electrical and Computer Engineering, University of Waterloo, Canada. Dr. Shen’s research focuses on resource management in interconnected wireless/wired networks, wireless network security, social networks, smart grid, and vehicular ad hoc and sensor networks. He is an elected member of IEEE ComSoc Board of Governor, and the Chair of Distinguished Lecturers Selection Committee. Dr. Shen served as the Technical Program Committee Chair/Co-Chair for IEEE Globecom’16, Infocom’14, IEEE VTC’10 Fall, and Globecom’07, the Symposia Chair for IEEE ICC’10, the Tutorial Chair for IEEE VTC'11 Spring and IEEE ICC’08, the General Co-Chair for ACM Mobihoc’15, and the Chair for IEEE Communications Society Technical Committee on Wireless Communications. He also serves/served as the Editor-in-Chief for IEEE Internet of Things Journal Editor-in-Chief for IEEE Network, Peer-to-Peer Networking and Application, and IET Communications. Dr. Shen is a registered Professional Engineer of Ontario, Canada, an IEEE Fellow, an Engineering Institute of Canada Fellow, a Canadian Academy of Engineering Fellow, a Royal Society of Canada Fellow, and a Distinguished Lecturer of IEEE Vehicular Technology Society and Communications Society.

Changjun Jiang (Donghua University)

Title: 网络交易风险防控

Abstract: 随着互联网技术和互联网产业的迅猛发展，网络欺诈产业也迅速兴起。据报道，目前超160万人从业年，产值超1152亿，网络诈骗产业仍可当之无愧的成为中国第三大黑色产业。互联网欺诈问题愈发严重，以“欺诈”为主要特征的网络交易安全威胁是现有以身份认证为核心、以防御攻击为目标的信息安全技术所难以防范的。互联网交易系统复杂，数据繁多，环境多变，如何实现整体认知、实时辨识、优化控制是互联网交易风险防控面临的重大挑战。针对上述问题，提出LPN形式化模型及其行为分析技术，解决了系统交互行为分析难题；在国际上首次提出基于行为证书的系统行为辨识方法，解决了身份盗用和交易欺诈甄别难题；提出系统交易的在线认证技术，解决了在线交易瞬时辨识难题；提出风控平台的实时并发技术，解决了并发交易支付风控难题。相关技术都已得到很好的应用，并取得了良好的效果。

Bio: 蒋昌俊系同济大学教授、东华大学校长、国家杰青、973首席科学家和英国工程技术学会会士（IET Fellow），长期致力于网络计算系统的研究。他创建了网络并发系统的行为理论，发明了网络资源组织与调度的并发机制，提出了风险防控的行为分析技术与认证机制，主持建立了我国首个互联网交易风险防控体系及系统，取得了网络交易高辨识和强实时的重大突破，为我国在该领域处于国际领先水平做出了开拓性贡献。以第一完成人获国家技术发明二等奖1项、国家科技进步二等奖2项、省部级一等奖5项。第一发明人获国家授权发明专利和澳洲创新专利57项、国际PCT 22项、行业技术标准8项。发表论文300余篇（含ACM/IEEE汇刊47篇），著作3本。蒋昌俊教授现任国家自然科学基金委信息学部咨询委员会委员、中国云体系产业创新战略联盟副理事长、中国人工智能学会副理事长、中国自动化学会网络信息服务专委主任、上海市科协副主席、美国电子电气工程师学会（IEEE）上海分会副主席等；担任计算机学报、软件学报、电子学报、Computer & Communications等国内外期刊编委或客座编辑。

过敏意 (上海交通大学)

Title: 智慧城市与城市大数据

Abstract: Urban computing is the communication and computation process to understand and coordinate the environment, systems, people and things in the city. Intelligent urban computing helps the city administrators better understand and react to the metropolitan needs, challenges, as well as the operation of urban infrastructural systems. Complete collection of the urban data, deep understanding of its nature and characteristics, fast and accurate reaction to its dynamics and evolution will facilitate the development of effective urban plan, support appropriate troubleshooting of urban operations, and help policy makers to better understand, test, validate, and predict the results of policies. We believe this is the right time to research on holistic urban computing which has been made possible due to recent advances in communication technologies that allow wireless connection and untethered data exchange among vast urban sensing and computing devices, as well as advanced data and computing science that provides us necessary methods and computing power to understand, model, and reason the urban data and people.

Bio: 过敏意, 博士，博士生导师；国家杰出青年科学基金获得者,国家千人计划获得者，973计划首席科学家。现任上海交通大学计算机科学与工程系主任，上海交通大学“致远”讲席教授，教育部创新团队学术带头人。在嵌入式与普适计算、并行与分布计算、编译与程序优化等领域进行了深入系统的研究，在各种学术期刊、会议上发表了超过200篇论文，著述英文著作3部。主持国家杰出青年科学基金、国家自然科学基金重点项目863项目等。过敏意教授是两本国际期刊IEEE Transactions on Parallel and Distributed Systems和 IEEE Transactions on Computers的编委，是中国大陆第一位同时担任这两本系统结构领域顶级期刊编委的学者。他还是IEEE著名系列国际会议EUC、ISPA的发起人。过教授是国家科技奖、教育部科技奖、国家自然科学基金、千人计划等评审委员。

Yuguang "Michael" Fang (University of Florida)

Title: Cognitive Capability Harvesting (CCH): A Collaborative Network Design

Abstract: Connected things in various cyber-physical systems (CPSs) such as IoTs and smart cities enable us to sense physical environments, extract intelligent information, and better regulate physical systems we heavily depend on in our daily life. This has also generated tremendous traffic burden on our existing telecommunications infrastructure, resulting in significant spectrum shortage. Moreover, it has been witnessed that battery-powered devices such as our smart phones tend to deplete their energy much faster than before and this trend will continue if not carefully considering network-wide power consumption. Furthermore, heterogeneity in network technologies and devices and the lack of comprehensive study on interdependency in a system of systems have also caused serious concerns on security and privacy. How to take a holistic approach to carefully examine network-wide issues on spectrum, energy and security is of paramount importance. In this talk, the speaker will discuss various related problems and challenges in a connected world and then present a novel collaborative network solution to enabling connected things to effectively harvest in-network capability (spectrum, energy, storage, and computing power) in a cognitive fashion to intelligently manage the spectrum efficiency, energy efficiency, and yes, security!

Bio: Dr. Yuguang "Michael" Fang joined the Department of Electrical and Computer Engineering at University of Florida in 2000 and has been a full professor since 2005. He held a Changjiang Scholar Chair Professorship with Xidian University from 2008 to 2011 and with Dalian Maritime University since 2016, Overseas Academic Master, Dalian University of Technology since 2016, and a Guest Chair Professorship with Tsinghua University from 2009 to 2012. Dr. Fang received the US National Science Foundation Career Award in 2001 and the Office of Naval Research Young Investigator Award in 2002, 2015 IEEE Communications Society CISTC Technical Recognition Award, 2014 IEEE Communications Society WTC Recognition Award, and multiple Best Paper Awards from IEEE Globecom (2015, 2011 and 2002) and IEEE ICNP (2006). He has also received 2010-2011 UF Doctoral Dissertation Advisor/Mentoring Award, 2011 Florida Blue Key/UF Homecoming Distinguished Faculty Award, and the 2009 UF College of Engineering Faculty Mentoring Award. He has been the Editor-in-Chief of IEEE Transactions on Vehicular Technology since 2013, was the Editor-in-Chief of IEEE Wireless Communications (2009-2012), and serves/served on several editorial boards of journals including IEEE Transactions on Mobile Computing (2003-2008, 2011-present), IEEE Transactions on Communications (2000-2011), and IEEE Transactions on Wireless Communications (2002-2009). He has been actively participating in conference organizations such as serving as the Technical Program Co-Chair for IEEE INOFOCOM’2014 and the Technical Program Vice-Chair for IEEE INFOCOM'2005. He is a fellow of the IEEE (2008) and a fellow of the American Association for the Advancement of Science (AAAS) (2015).

Nei Kato (Tohoku University)

Title: The Deep Learning Vision for Heterogeneous Network Traffic Control: Proposal, Challenges, and Future Perspective

Abstract: Recently, deep learning, an emerging machine learning technique, is garnering a lot of research attention in several computer science areas. However, to the best of our knowledge, its application to improve heterogeneous network traffic control, which is an important and challenging area by its own merit, has yet to appear because of the difficult challenge in characterizing the appropriate input and output patterns for a deep learning system to correctly reflect the highly dynamic nature of large-scale heterogeneous networks. In this talk, an appropriate input and output characterizations of heterogeneous network traffic will be introduced and a supervised deep neural network system will be proposed. I will describe how our proposed system works and how it differs from traditional neural networks. Also, preliminary results will be discussed and I will demonstrate the encouraging performance of our proposed deep learning system compared to a benchmark routing strategy (Open Shortest Path First (OSPF)) in terms of significantly better signaling overhead, throughput, and delay.

Bio: Nei Kato is a full professor and the Director of Research Organization of Electrical Communication (ROEC), Tohoku University, Japan. He has been engaged in research on computer networking, wireless mobile communications, satellite communications, ad hoc & sensor & mesh networks, smart grid, IoT, Big Data, and pattern recognition. He has published more than 350 papers in prestigious peer-reviewed journals and conferences. He is the Editor-in-Chief of IEEE Network Magazine (2015.7-), the Associate Editor-in-Chief of IEEE Internet of Things Journal (2013-), an Area Editor of IEEE Transactions on Vehicular Technology(2014-), and the Chair of IEEE Communications Society Sendai Chapter. He served as a Member-at-Large on the Board of Governors, IEEE Communications Society, a Vice Chair of Fellow Committee of IEEE Computer Society (2016), a member of IEEE Computer Society Award Committee (2015-2016) and IEEE Communications Society Award Committee (2015-2017). He has also served as the Chair of Satellite and Space Communications Technical Committee (2010-2012) and Ad Hoc & Sensor Networks Technical Committee (2014-2015) of IEEE Communications Society. Nei Kato is a Distinguished Lecturer of IEEE Communications Society and Vehicular Technology Society. He is a fellow of IEEE and IEICE.

Guoliang Xue (Arizona State University)

Title: Opportunities and Challenges in Crowdsourcing and Authenticated Anonymous Vehicle to Grid Communications

Abstract: Smart devices, smart grids, and Internet of Things (IoT) are changing our life style. With the ever increasing popularity of mobile devices interconnected via wireless networks, crowdsourcing has emerged as is a new computing paradigm, which uses collective intelligence to accomplish computing tasks. In this talk, we discuss opportunities and challenges in crowdsourcing and authenticated anonymous vehicle to grid communications. For crowdsourcing, we will discuss the computing paradigm, truthful incentive mechanisms, Sybil attacks to popular incentive mechanisms, and counter-measures. For vehicle to grid communications, we will discuss the importance of anonymous communications, attacks to an existing system, and a revocable anonymity based solution.

Bio: Guoliang Xue is a Professor of Computer Science and Engineering at Arizona State University. He earned a PhD degree in Computer Science in 1991 from the University of Minnesota, an MS degree in Operations Research in 1984, and a BS degree in Mathematics in 1981, both from Qufu Normal University. His research interests include resource allocation in computer networks, and survivability and security issues in networks. He is a recipient of Best Paper Award at IEEE ICC’2012 and IEEE MASS’2011, as well as a Best Paper Runner-up at IEEE ICNP’2010. He is an Area Editor of IEEE Transactions on Wireless Communications for the Wireless Networking Area overseeing 12 editors, and an Editor of IEEE Network. He is a past editor of IEEE/ACM Transactions on Networking, Computer Networks, and IEEE Transactions on Wireless Communications. He was a TPC co-chair of IEEE INFOCOM2010 and is the vice chair of the INFOCOM Standing Committee. He was a co-General Chair of IEEE CNS2014 and a TPC member of ACM CCS2014 and CCS2015. He was a Keynote Speaker at IEEE LCN2011 and ICNC2014. He is an IEEE Fellow. He currently serves as the VP-Conferences of the IEEE Communications Society (ComSoc).

Lili Qiu (University of Texas at Austin)

Title: Understanding and Managing Smartphone Notifications

Abstract: In today's always-connected world, we receive a large number of notifications on our mobile devices. These notifications cause interruptions, stress, and even impact users' lifestyle. To understand how users respond to notifications, we develop an application that monitors various features (\eg, importance) of the notifications, users' actions, and the level of users' engagement with the notifications. We recruit $30$ users to use the application and monitor over 30 days, and subsequently find that 20% to 50% of the notifications generally get ignored by the users. In addition, we also solicit explicit feedback about the importance of notifications from 12 users over 14 days and identify the relation between perceived importance and users' engagement level. Based on this study, we identify the key characteristics of notifications and users' engagement, which is further substantiated by an online survey of 400+ users. In addition, we develop a notification manager that includes a machine learning based prediction model and that shows only the important notifications and delays the unimportant notifications. Our experimental results show that our notification manager automatically assesses the importance of notifications with more than 87% accuracy. We believe this work is a promising step toward intelligent personal assistant that manages notifications.

Bio: Lili Qiu is Professor in Dept. of Computer Science at the University of Texas at Austin. She received Ph.D. in Computer Science from Cornell University in 2001. Before joining UT Austin, she spent 2001-2004 as a researcher at Microsoft Research, Redmond, WA. In 2005, she joined UT Austin and founded a vibrant wireless research lab at the UT Computer Science Dept. focusing on wireless and mobile network system research. She currently serve as the SIGMOBILE Vice Chair. She has served as TPC Co-Chairs for ACM MobiCom, IEEE ICNP, IEEE SECON, WICON, and general Co-chairs for IEEE ICNP and WICON, as well as on the program committees of several leading conferences. She is named an IEEE Fellow, and an ACM Distinguished Scientist. She also received the National Science Foundation Faculty Early Career Award.

Zhisheng Niu (Tsinghua University)

Title: The Deep Learning Vision for Heterogeneous Network Traffic Control: Proposal, Challenges, and Future Perspective

Abstract: Making idle servers sleep is considered to be a key approach to reduce energy consumption of various information and communication systems. Optimal sleeping policies for a single server has been derived only for non-bursty traffic in prior work. In this talk, for the first time, we study the optimal sleeping policy for a single server queue with bursty traffic. Key factors including switch-over energy consumption as well as delay performance are considered. We formulate the problem as a POMDP (partially observable Markov decision process), and show that it can be solved by observing the time elapsed since the last arrival (TESLA). The optimal sleeping policy is shown to be a wait-and-see two-threshold policy and the simulation results show the effectiveness of the policy. Numerical results also show that traffic burstiness can help to enhance the system performance in terms of weighted sum of the energy-efficiency and delay.

Bio: Zhisheng Niu graduated from Beijing Jiaotong University, China, in 1985, and got his M.E. and D.E. degrees from Toyohashi University of Technology, Japan, in 1989 and 1992, respectively. During 1992-94, he worked for Fujitsu Laboratories Ltd., Japan, and in 1994 joined with Tsinghua University, Beijing, China, where he is now a professor at the Department of Electronic Engineering. He was a Visiting Researcher at National Institute of Information and Communication Technologies (NICT), Japan, during Oct. 1995 to Feb. 1996, and a Visiting Senior Researcher at Hitachi Central Research Laboratory, Japan, from Feb. 1997 to Feb. 1998. His major research interests include queueing theory, traffic engineering, mobile Internet, radio resource management of wireless networks, and green communication and networks. Dr. Niu has been an active volunteer for various academic societies, including Director for Asia-Pacific Board (2008-09), Director for Conference Publications (2010-11), and Chair of Emerging Technology Committee (2014-15) of IEEE Communication Society. He has served as associate editor-in-chief of IEEE/CIC joint publication China Communications (2012-16) and editor of IEEE Wireless Communication (2009-13), and currently serving as area editor of IEEE Trans. Green Commun. & Networks. He also served as a distinguished lecturer (2012-15) of IEEE Communication Society and a distinguished lecturer (2014-16) of IEEE Vehicular Technologies Society. Dr. Niu received the Outstanding Young Researcher Award from Natural Science Foundation of China in 2009 and the Best Paper Award from IEEE Communication Society Asia-Pacific Board in 2013. He was the Chief Scientist of the National Basic Research Program (so called “973 Project”) of China on "Fundamental Research on the Energy and Resource Optimized Hyper-Cellular Mobile Communication System" (2012-2016), which is the first national project on green communications in China. He is a fellow of both IEEE and IEICE.

Phone Lin (Taiwan University)

Title: Signaling Reduction and Energy Saving of Small-Cell Networks

Abstract: The small cell technology coexisting with the outdoor macro cell has been widely adopted in heterogeneous radio access network (Het-RAN) to provide transmission service with higher data rate. In LTE Het-RAN, a small cell has radio coverage of 5-10 meter-radius. A macro cell with radio coverage of 0.5-2 kilometer-radius may overlap with large amount of small cells. The characteristic of small cells (i.e., the service area may be discontinued) can be treated as “islands” that do not overlap with each other. In this talk, I will focus on two important issues in Het-RAN, including: (1) When a user equipment (UE) moves in and out a small cell frequently in the LTE Het-RAN, it frequently causes either the location update procedure or the handover procedure depending on the the UE is in idle or connected mode. We proposed the Delay Timer Algorithm (DTA) to reduce signaling overhead. (2) The probability that there is no UE in a small cell is higher than in a macro cell. A idle small cell may waste lots of energy. To resolve this issue, we proposed the Connection-Driven (CD) mechanism for the small cell to enter/leave the sleep mode more efficiently and effectively.

Bio: Phone Lin is a Professor at Taiwan University (NTU), holding professorship in the Department of Computer Science and Information Engineering, Graduate Institute of Networking and Multimedia, Telecommunications Research Center of College of EECS, and Graduate Institute of Medical Device and Imaging, Collage of Medicine. Lin serves on the editorial boards of IEEE Trans. on Vehicular Technology, IEEE Wireless Communications Magazine, IEEE Network Magazine, IEEE Internet of Things Journal, etc. Dr. Lin’s current research interests include “Fog Networks,” “Machine to Machine (M2M)/Internet of Things (IoT),” “Software Defined Networks (SDN),” “Smart Data Pricing,” “Relation, Privacy, Security of Social Networks,” “Decision Process” and “Performance Modeling.” Lin has received many prestigious technical research/service awards, such as The Outstanding Research Award, Minstry of Science and Technology, Taiwan in 2016, The Best Young Researcher of IEEE ComSoc Asia-Pacific Young Researcher Award in 2007, The Distinguished Electrical Engineering Professor Award of the Chinese Institute of Electrical Engineering in 2012, Ten Outstanding Young Persons Award of Taiwan (Science & Technology) in 2009. Phone Lin is a Fellow of IEEE.

Lin Cai (University of Victoria)

Title: Understanding and Managing Smartphone Notifications

Abstract: Electric vehicles (EVs) are a key to future clean transportation systems. Despite various incentives, the rollout of EVs has been slow, mainly due to the limited cruising range and lack of convenient charging services. The good news is that EVs are now hitting a critical mass on the market at the same time as vehicle-to-vehicle and vehicle-to-infrastructure communication technologies are maturing, and electric utilities around the globe are racing to make their power grids more intelligent by adopting information and communication technologies. In addition to solving the above range and charging problems, the nexus of the Internet, EVs, charging stations, and smart grid forms a perfect storm of opportunities for future green and intelligent transportation systems. In this new paradigm, reliable and efficient information exchanges between EVs, meters, charging stations and power grid, as well as intelligent charging services, are key issues. However, there are many research issues and challenges remaining unsolved and beckoning further investigation. In this talk, we focus on the vehicle communication networking problems, including the theoretical breakthroughs in vehicle network connectivity and delay analysis. Hope they inspire more research efforts and advances, contributing to the new era of connected EVs that may not only revolutionize how people and goods move, but also how energy flows, leading to future green and intelligent transportation systems of both things and energy.

Bio: Lin Cai received her M.A.Sc. and PhD degrees in electrical and computer engineering from the University of Waterloo, Waterloo, Canada, in 2002 and 2005, respectively. Since 2005, she has been with the Department of Electrical & Computer Engineering at the University of Victoria, and she is currently a Professor. Her research interests span several areas in communications and networking, with a focus on network protocol and architecture design supporting emerging multimedia traffic over wireless, mobile, ad hoc, and sensor networks. She has been a recipient of the NSERC Discovery Accelerator Supplement Grants in 2010 and 2015, respectively, and the best paper awards of IEEE ICC 2008 and IEEE WCNC 2011. She has served as a TPC symposium co-chair for IEEE Globecom'10 and Globecom'13, an Associate Editor for IEEE Transactions on Wireless Communications, IEEE Transactions on Vehicular Technology, EURASIP Journal on Wireless Communications and Networking, International Journal of Sensor Networks, and Journal of Communications and Networks (JCN), and a Distinguished Lecturer (DL) of IEEE VTS society.

Xiaodong Lin (University of Ontario Institute of Technology)

Title: Integrating Social Links into Vehicular Ad Hoc Networks (VANETs): Social-aware, Secure and Privacy-Preserving Data Forwarding in VANETs

Abstract: Vehicular communication technologies have been envisioned as a promising approach for improving road safety, enhancing driving experience, and improving traffic management. In the future, cars on our roads will be equipped with vehicle-to-vehicle (V2V) communication technology enabling them to communicate with each other and forming a large self-organized ad hoc network. These networks are called vehicular ad hoc network (VANET). In this talk, we first identify some security and privacy challenges in VANETs. Then, we look into how to integrate social links into VANETs. Specifically, we study social behavior and interaction in VANETs and then propose a social-aware, secure and privacy-preserving packet forwarding scheme. With the proposed scheme, Roadside Units (RSUs) deployed along the roadside can assist in packet forwarding to achieve highly reliable transmissions, which is considered critical for many vehicle applications. In specific, we heuristically define how to evaluate each traffic intersection’s social degree in a VANET. Based on the social degree information, we then strategically place RSUs at some high-social intersections. As a result, these RSUs can provide tremendous assistance in temporarily storing packets and helping packet forwarding in order to achieve high delivery ratio in a cost-efficient way. Furthermore, these RSUs can form a mix network to shuffle messages transmitted over vehicular network. As a result, security and privacy of vehicular communications can be guaranteed.

Bio: Xiaodong Lin received the PhD degree in Information Engineering from Beijing University of Posts and Telecommunications, China, and the PhD degree (with Outstanding Achievement in Graduate Studies Award) in Electrical and Computer Engineering from the University of Waterloo, Canada. He is currently an Associate Professor with the Faculty of Business and Information Technology, University of Ontario Institute of Technology (UOIT), Canada. His research interests include wireless communications and network security, computer forensics, software security, and applied cryptography. Dr. Lin serves as an Associate Editor for many international journals. He has served or is serving as a guest editor for many special issues of IEEE, Elsevier and Springer journals and as a symposium chair or track chair for IEEE/ACM conferences. He also served on many program committees. He currently serves as Chair of Communications and Information Security Technical Committee (CISTC) – IEEE Communications Society. He is a Fellow of the IEEE.

Jiming Chen (Zhejiang University)

Title: NB-IoT and Its Applications

Bio: Jiming Chen received B.Sc degree and Ph.D degree both in Control Science and Engineering from Zhejiang University. He was a visiting researcher at University of Waterloo from 2008 to 2010. Currently, he is a Changjiang Chair professor with College of control science and engineering, and vice director of the State Key laboratory of Industrial Control Technology at Zhejiang University, China. He serves/served associate editors for several international Journals including IEEE TII, IEEE TPDS, ACM TECS, etc. His research interests include sensor networks, IoT, networked control, cyber security.