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Keynote Speech:
In-Memory Computing: New Architecture for Big Data Processing


Prof. Hai Jin
Huazhong University of Science and Technology


ABSTRACT: With emerging of big data, the processing speed for the data is one of the key issues for big data technology. One of the efficient ways to handle the velocity of data is putting all the data in the memory. But traditional memory, DRAM, consumes a large amount of energy and cost to build a large memory system. In recent years, lots of non-volatile memory devices, such as phase change memory (PCM), are studied to be part of memory. We call these Storage Class Memory (SCM). Combing traditional memory and SCM together to build a large hybrid memory space is becoming one of the energy-efficient ways to extend the traditional in-memory computing system into a new level, to handle large quality of data in real time. In this talk, we will discuss this new in-memory computing system from different aspects and some challenges in this new system. We will also report some ongoing effort in China to build this hybrid memory-based in-memory computing system, and some latest advances in this area.


BIO: Prof. Hai Jin is a Cheung Kung Scholars Chair Professor of Computer Science and Engineering at Huazhong University of Science and Technology (HUST) in China. He received his PhD in Computer Engineering from HUST in 1994. In 1996, he was awarded a German Academic Exchange Service fellowship to visit the Technical University of Chemnitz in Germany. Prof. Jin worked at The University of Hong Kong between 1998 and 2000, and as a visiting scholar at the University of Southern California between 1999 and 2000. He was awarded Excellent Youth Award from the National Science Foundation of China in 2001. Prof. Jin is the Chief Scientist of ChinaGrid, the largest grid computing project in China, and the Chief Scientists of National 973 Basic Research Program Project of Virtualization Technology of Computing System, and National 973 Basic Research Program Project of Cloud Security.


Prof. Jin is a senior member of the IEEE and a member of the ACM. He has co-authored 15 books and published over 600 research papers. His research interests include computer architecture, virtualization technology, cluster computing and cloud computing, peer-to-peer computing, network storage, and network security.


Keynote Speech:
Energy Efficiency and Quality of Service in Computing and Communication Technologies


Prof. Erol Gelenbe
Imperial College London


ABSTRACT: We know that information technologies account for roughly 2% of CO2 emissions, and that the annual worldwide growth of energy consumption in this sector is of the order of 5%. At the same time, it is estimated that information and telecommunication systems save energy in many other sectors, including transportation. However it is clear that information technology, just like any other area of human activity, must become more energy efficient. Thus, our presentation will summarise the main trends in this area, and then show how the judicious design and dynamic management of computing and communication systems can lead to significant energy savings while insuring an adequate level of quality of service. Practical examples will be given based on measurements on current systems, and we will then point to future energy savings that can be achieved by the use of novel nanotechnologies.


BIO: Professor Erol Gelenbe is Head of Intelligent Systems and Networks (ISN) in the Department of Electrical and Electronic Engineering at Imperial College, London. Described by E&T Magazine as a "true IT Innovator", Prof. Gelenbe won IET's 2010 Oliver Lodge Medal. The ACM SIGMETRICS 2008 Life-Time Achievement Award stated that Prof. Gelenbe is "the single individual who, over a span of 30 years, has made the greatest overall contribution to the field of Computer System and Network Performance Evaluation". Other awards include "In Memoriam Dennis Gabor Award" of the Hungarian Academy of Science (2013) for outstanding science with significant innovation content, from the Hungarian Academy of Sciences, France-Telecom Prize of the French Academy of Sciences (1996), Parlar Foundation Science Award of Turkey (1994).


Prof. Gelenbe has over 13700 citations with H=65, and is recognised for work that won his election to Fellow of ACM and IEEE (USA), the Royal Academy of Sciences, Letters and Arts of Belgium (2015), the French National Academy of Engineering (2008), the Hungarian Academy of Sciences (2010), the Polish Academy of Sciences (2013), the Science Academy of Turkey (2007) and Academia Europaea (2005).


Prof. Gelenbe's current research addresses three related areas: "Autonomic" or self-aware and self-organising Software Defined Networks; Energy Savings in ICT, in the Cloud and through Energy Harvesting for sensors in the Internet of Things (IoT); Security in mobile networks. He also works on finding analytical solutions to networked systems in engineering, physics and biology, including energy networks, neural networks, genetic networks, sensor networks and economic agents in the Internet. Recent publications appear in journals such as IEEE Networks, IEEE Transactions on Emerging Topics in Computing, Communications of the ACM, the ACM Trans. on Sensor Networks, ACM Trans. on Internet Technology, Physical Review, Proceedings Royal Society, ACM Trans. on Adaptive and Autonomous Systems, IEEE/ACM Trans. on Bioinformtics and Computational Biology, IEEE Trans. on Nanobioscience, Neual Computation, Computer Journal, etc.


Keynote Speech:
From Distributed Optimization Theory to In-Network Data Processing in Wireless Ad-Hoc and Sensor Networks


Prof. Kin K. Leung
Imperial College London


ABSTRACT: In this talk, the speaker will begin with a brief overview of distributed optimization theory, including convex optimization problems for which distributed, iterative solution techniques exist and converge. As for wireless ad-hoc and sensor networks, it is well known that each link capacity in these networks depends on the transmission power of other links. In addition, the quality of multimedia services supported by these networks cannot be represented by a concave function of the amount of allocated bandwidth. These factors unfortunately make the resource allocation problem for the wireless networks become a non-convex optimization problem. New distributed solution techniques will be presented to solve these problems and numerical examples will also be provided.


As the second part of this talk, the speaker considers the in-network data processing in wireless sensor networks where data are aggregated (fused) along the way they are transferred toward the end user. It will be shown that finding the optimal solution for the distributed processing problem is NP-hard, but for specific parameter settings, the problem can lead to a distributed framework for the global optimal solution. Future work on integrating data or signal processing techniques with the distributed solution framework will be discussed.


BIO: Prof. Kin K. Leung received his B.S. degree from the Chinese University of Hong Kong in 1980, and his M.S. and Ph.D. degrees from University of California, Los Angeles, in 1982 and 1985, respectively. He joined AT&T Bell Labs in New Jersey in 1986 and worked at its successor companies, AT&T Labs and Bell Labs of Lucent Technologies, until 2004. Since then, he has been the Tanaka Chair Professor in the Electrical and Electronic Engineering (EEE), and Computing Departments at Imperial College in London. He serves as the Head of Communications and Signal Processing Group in the EEE Department at Imperial. His research focuses on networking, protocols, optimization and modeling issues of wireless broadband, sensor and ad-hoc networks. He also works on multi-antenna systems and cross-layer optimization of these networks.


Prof. Leung received the Distinguished Member of Technical Staff Award from AT&T Bell Labs in 1994, and was a co-recipient of the 1997 Lanchester Prize Honorable Mention Award. He was elected as an IEEE Fellow in 2001. He received the Royal Society Wolfson Research Merits Award from 2004 to 2009 and became a member of Academia Europaea in 2012. Along with his co-authors, he also received a number of best paper awards at major conferences, including the IEEE PIMRC 2012 and ICDCS 2013. He serves as a member (2009-11) and the chairman (2012-15) of the IEEE Fellow Evaluation Committee for Communications Society. He was a guest editor for the IEEE JSAC, IEEE Wireless Communications and the MONET journal, and as an editor for the JSAC: Wireless Series, IEEE Transactions on Wireless Communications and IEEE Transactions on Communications. Currently, he is an editor for the ACM Computing Survey and International Journal on Sensor Networks.


Keynote Speech:
Advances in Wireless Social Networking


Prof. Lajos Hanzo
University of Southampton


ABSTRACT: The number of heterogeneous devices communicating with the aid of classic cellular networks is escalating, predominantly, because social media is generating ever-increasing amount of global tele-traffic. The situation is particularly challenging in traffic hot-spots at public places, such as airports, railway stations, concerts, cultural and sporting events, etc. There have been revolutionary advances right across the seven-layer OSI architecture, but the most dramatic area-spectral efficiency improvements were achieved by reducing the cell-size, especially in these traffic hotspots. Research is well under way for exploring the hitherto largely neglected mm-wave band in order to conquer new frequency bands and also for the sake of exploiting the unlicensed visible-light domain of the electro-magnetic spectrum. Against this backcloth, this presentation provides a whistle-stop tour of the fledgling research area of mobile social networking.


BIO: Lajos Hanzo (http://www-mobile.ecs.soton.ac.uk) FREng, FIEEE, FIET, Fellow of EURASIP, DSc received his degree in electronics in 1976 and his doctorate in 1983. In 2009 he was awarded an honorary doctorate by the Technical University of Budapest, while in 2015 by the University of Edinburgh. During his 38-year career in telecommunications he has held various research and academic posts in Hungary, Germany and the UK. Since 1986 he has been with the School of Electronics and Computer Science, University of Southampton, UK, where he holds the chair in telecommunications. He has successfully supervised about 100 PhD students, co-authored 20 John Wiley/IEEE Press books on mobile radio communications totalling in excess of 10 000 pages, published 1500+ research entries at IEEE Xplore, acted both as TPC and General Chair of IEEE conferences, presented keynote lectures and has been awarded a number of distinctions. Currently he is directing a 60-strong academic research team, working on a range of research projects in the field of wireless multimedia communications sponsored by industry, the Engineering and Physical Sciences Research Council (EPSRC) UK, the European Research Council's Advanced Fellow Grant and the Royal Society's Wolfson Research Merit Award. He is an enthusiastic supporter of industrial and academic liaison and he offers a range of industrial courses. He is also a Governor of the IEEE VTS. During 2008 - 2012 he was the Editor-in-Chief of the IEEE Press and a Chaired Professor also at Tsinghua University, Beijing. His research is funded by the European Research Council's Senior Research Fellow Grant. For further information on research in progress and associated publications please refer to http://www-mobile.ecs.soton.ac.uk. Prof. Lajos has 22 000+ citations.


Keynote Speech:
Towards Collaborative Computing with Urban Big data


Prof. Minyi Guo
Shanghai Jiao Tong University


ABSTRACT: Nowadays, sensing technologies and large-scale computing infrastructures have produced a variety of big data in urban spaces, e.g. human mobility, air quality, traffic patterns, and geographical data. The big data implies rich knowledge about a city and can help tackle these challenges when used correctly. We believe this is the right time to research on holistic urban big data 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. In this talk, we will give some properties for processing urban big data and discuss how the collaborative computing bridges the data and computation in the cyber space and the environment, systems, people and things in the physical world.


BIO: Minyi Guo is currently Zhiyuan Chair professor and chair of the Department of Computer Science and Engineering, Shanghai Jiao Tong University (SJTU), China. Before joined SJTU, Dr. Guo had been a professor of the school of computer science and engineering, University of Aizu, Japan. Dr. Guo received the national science fund for distinguished young scholars from NSFC in 2007, and was supported by "1000 recruitment program of China" in 2010. His present research interests include parallel/distributed computing, compiler optimizations, embedded systems, pervasive computing, and cloud computing. He has more than 300 publications in major journals and international conferences in these areas, including the IEEE Transactions on Parallel and Distributed Systems, the IEEE Transactions on Computers, the ACM Transactions on Autonomous and Adaptive Systems, INFOCOM, IPDPS, ICS, ISCA, HPCA, SC, WWW, PODC, etc. He received 5 best paper awards from international conferences. He was on the editorial board of IEEE Transactions on Parallel and Distributed Systems and IEEE Transactions on Computers. Dr. Guo is a senior member of IEEE, member of ACM, IEICE IPSJ, and CCF.


Keynote Speech:
Wear-I: A New Paradigm in Wearable Computing


Prof. Jianhua Ma
Hosei University


ABSTRACT: Nowadays there are already a multitude of various wearable devices, and more wearables are expected to come onto the market in the next few years. Much of the current research in wearable computing has fallen into two basic categories, device-centered and application-centered, which are however dedicated to specific applications, and without the flexibility and scalability sufficient to support more applications by reusing and coordinating all devices worn by a user. The speaker will present a new wearable computing paradigm called Wear-I that regards wearables as extensions of human sense and action organs, and further proposes a life-like system to interconnect, manage and control these wearables using various applications. Wear-I's concepts, characteristics, constituents, architecture and model, as well as its technical issues and challenges are presented in this talk.


BIO: Prof. Jianhua Ma received his B.S. and M.S. degrees of Communication Systems from National University of Defense Technology (NUDT), China, in 1982 and 1985, respectively, and the PhD degree of Information Engineering from Xidian University, China, in 1990. He has been on the faculty of Hosei University, Japan, since 2000. Presently, he is a professor of computer and information sciences in the Digital Media Department. Prior to joining Hosei University, Prof. Ma had 15 years of teaching and/or research experience at NUDT, Xidian University, and the University of Aizu, Japan.


Prof. Ma's main research interests include Error-control Coding in Mobile Wireless Communications, Encryption Systems of Secure Computer Data, Audio and Video Transmissions, Peer-to-Peer (P2P) Communications, and Ubiquitous/Pervasive Computing. Recently, his researches have been devoted to Smart Worlds pervaded with smart/intelligent ubiquitous things. He is an Editor-in-Chief of Journal of Ubiquitous Computing and Intelligence (JUCI), Journal of Mobile Multimedia (JMM), Journal of Autonomic and Trusted Computing (JoATC), and International Journal of u- and e- Service, Science and Technology (IJUNESST), and an Assistant Editor-in-Chief of?International Journal of Pervasive Computing and Communications (JPCC). He has severed many other international conferences/ workshops as various chairs and committee members.


He is a member of IEEE and ACM. He has edited over 15 books/proceedings, and published more than 200 academic papers in journals, books and conference proceedings. He has delivered about 20 keynote speeches in international conferences, and given invited talks in over 40 universities/institutes. He received the Best Paper Award from the 2000 International Conference on Information Society in the 21st Century: Emerging Technologies and New Challenges, and the Highly Commended Paper Award from the 2004 IEEE International Conference on Advanced Information Networking and Applications.


Keynote Speech:
Scalable Data Analytics for Big Data Applications on Cloud


A/Prof. Jinjun Chen
University of Technology Sydney


ABSTRACT: Cloud Computing provides the opportunity for collecting, storing and processing a variety of data from disparate data sources such as flight booking, supermarket, cloth shops and etc, forming big data. Aggregate analysis of such data sources which were previously far away from each other can help to identify new niche market opportunities for modern business, which could in turn grow up as new strategic major market. At the same time, scalable solutions will help to enable "fast to market" requirement especially for analysing continuously increasing data collection. In this talk, we provide overall analysis for this requirement, challenges and a solution to address such challenges.


BIO: Dr Jinjun Chen is an Associate Professor from Faculty of Engineering and IT, University of Technology Sydney (UTS), Australia. He is the Director of Lab for Cloud Computing and Data Intensive Systems at UTS. He holds a PhD in Information Technology from Swinburne University of Technology, Australia. Dr Chen's research interests include big data, data science, data intensive systems, scalability, cloud computing, software engineering and services, workflow management, privacy and security, and related various research topics. His research results have been published in more than 130 papers in international journals and conferences, including IEEE Transactions on Service Computing, ACM Transactions on Autonomous and Adaptive Systems, ACM Transactions on Software Engineering and Methodology (TOSEM), IEEE Transactions on Software Engineering (TSE), IEEE Transactions on Parallel and Distributed Systems (TPDS), IEEE Transactions on Cloud Computing, and IEEE Transactions on Computers (TC).


He received UTS Vice-Chancellor's Awards for Research Excellence Highly Commended (2014), UTS Vice-Chancellor's Awards for Research Excellence Finalist (2013), Swinburne Vice-Chancellor's Research Award for early career researchers (2008), IEEE Computer Society Outstanding Leadership Award (2008-2009) and (2010-2011), IEEE Computer Society Service Award (2007), Swinburne Faculty of ICT Research Thesis Excellence Award (2007). He is an Associate Editor for ACM Computing Surveys, IEEE Transactions on Big Data, IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Parallel and Distributed Systems, and IEEE Transactions on Cloud Computing. He is the Chair of IEEE Computer Society's Technical Committee on Scalable Computing (TCSC), Vice Chair of Steering Committee of Australasian Symposium on Parallel and Distributed Computing, Founder and Coordinator of IEEE TCSC Technical Area on Big Data and MapReduce, Founder and Steering Committee Co-Chair of IEEE International Conference on Big Data and Cloud Computing, IEEE International Conference on Big Data Science and Engineering, and IEEE International Conference on Data Science and Data Intensive Systems.


Keynote Speech:
Large-scale RFID Application and Technology


Prof. Keqiu Li
Dalian University of Technology


ABSTRACT: RFID is a type of wireless technique that can automatically identify or track the RFID tags attached to objects or even humans. Nowadays, it is increasingly being deployed in various applications such as localization, anti-counterfeit, monitoring, etc. These RFID-based applications could promote an efficient and smart inventory and logistics management. In this talk, we will present our recent work that mainly focuses on tackling the abnormal tags such as missing tags, unknown tags, key tags, blocker tags. And we made a plenty of effort to answer three fundamental problems in the practical RFID-based inventory applications, i.e., "Is there...?", "How many...?", and "Which ones...?". First, "Is there...?" is the problem of tag detection that aims at detecting whether there is missing tag or counterfeit tag. Second, "How many...?" represents the problem of tag estimation that is to approximately estimate the number of tags, thereby monitoring the product stock. Third, "Which ones...?" is the problem of tag identification that aims at pinpointing the exact unknown tags or misplaced tags. Finally, we will discuss some challenging issues when deploying RFID infrastructures in reality.


BIO: Keqiu Li is currently a full professor at the School of Computer Science and Technology, Dalian University of Technology, China. He got his bachelor and master degree both from Dalian University of Technology, China in 1994 and 1997, and his doctor degree from Japan Advanced Institute of Science and Technology, Japan in 2005. Keqiu Li was a research fellow at the University of Tokyo, Japan from Oct. 2005 to Sep. 2007. He had also five-year experience in industry. Keqiu Li's research interests include computer network, cloud computing, data center network, and wireless computing. Keqiu Li has published more than 100 technical papers in international journals and conferences. He is on the committee board for several international/national journals including IEEE TPDS and IEEE TC, and serves as organization chair/program chair/publication chair/program committee member for a couple of international conferences. Keqiu Li is a senior member of IEEE and CCF, and a member of ACM.


Keynote Speech:
Smart City Ecosystems of Applications, IoT, Data Hubs, Cloud and Networks (NfV) and End-to-End SLA considerations


Nektarios Georgalas
British Telecom


ABSTRACT: Cloud, networks/NFV and IoT constitute enablers of new digital service ecosystems. These enablers must enjoy a symbiotic relationship if the digital service ecosystems are to be profitable and deliver value. The current state-of-the-art in the industry offers solutions/best practices for managing these ecosystem enabling technologies efficiently, albeit in isolation. What is required is more unified, synergetic management, or as we call it "symbiotic orchestration", that co-ordinates in concert all relevant concerns of Smart City applications, involving the app hosting Cloud infrastructures, NFV or physical network services and Smart City Data hubs.


In this keynote we will present MKSmart, a UK smart city collaborative initiative, and explore BT's data hub approach to developing innovative solutions in support of sustainable economic growth in Milton Keynes. With demos of the Data Hub and SLA Management and Orchestration examples, we will focus on End to End SLA considerations encountered in Smart City ecosystems.


BIO: Nektarios Georgalas is a Principal Researcher at British Telecom's Research and Innovation department. In his current role, he is Director of the BT/Intel and the BT/Huawei Co-labs, two collaborative research programmes with key BT partners delivering innovations in the areas of Cloud, Data Centres, Network Virtualisation and Smart Cities. During his career with BT, since 1998, he has managed numerous collaborative and internal research projects in areas such as network management, market-driven data management systems, policy-based management, distributed information systems, SOA/Web Services, Model Driven Design and Development of telecoms OSS, Cloud and NfV. Nektarios has led numerous international collaborations on the application of advanced techniques for design, development and operation of telecoms Networks and Operation Support Systems environments. In the past he was very active leading and contributing to key programmes within the TeleManagement Forum, where he established international standards teams and influenced the Forum's strategy towards a model-driven and software-defined ecosystem of digital services in dynamic marketplaces. His work has been recognised several times by numerous international awards including the TMForum's "Excellence Award for Innovation" 2010, "Most Innovative Catalyst Award" 2014, "Best New Catalyst Award" 2015 and "Most Significant Contribution to Frameworx Award" 2015. Other recognition accolades include Global Telecoms Business's "Business Service Innovation Award" 2010, 2012 and 2013. He has been Finalist in UK IT Industry Award for "Best IT Innovation" in 2013 and Highly Commended for the IET Innovation Award for Telecommunication in 2009. He has also achieved "Best innovation for Large Enterprise" and "Best Customer Experience Innovation" Finalists in BT Innovation Awards 2010. Nektarios has been recognised in BT's TSO "Brilliant People" 2015.


Nektarios is inventor and co-inventor of 11 patents (granted and currently filed in consideration of the European Patent Office). He has also authored more than 50 papers in international journals and conferences. He has served as Programme Co-Chair of IEEE TrustCom 2011, Workshop Co-chair of IEEE TrustCom 2012 and Programme Co-chair of IEEE IUCC 2015 Conferences. Finally he has served in numerous conference programme committees such as IEEE NOMS, IEEE IM, IFIPTM and MobilWare.




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