Keynote Speakers

Name: Hossam Hassanein

Affiliation: Professor, School of Computing at Queen's University, Ontario, Canada


Short Bio: Hossam Hassanein is a leading authority in the areas of broadband, wireless and mobile networks architecture, protocols, control and performance evaluation. His record spans more than 500 publications in journals, conferences and book chapters, in addition to numerous keynotes and plenary talks in flagship venues. Dr. Hassanein has received several recognition and best papers awards at top international conferences. He is the founder and director of the Telecommunications Research (TR) Lab at Queen's University School of Computing, with extensive international academic and industrial collaborations. He is a senior member of the IEEE, and is a former chair of the IEEE Communication Society Technical Committee on Ad hoc and Sensor Networks (TC AHSN). Dr. Hassanein is an IEEE Communications Society Distinguished Speaker (Distinguished Lecturer 2008-2010).

Topic: Global Resource Utilization in the Internet of Things

Abstract: The Internet of Things (IoT) is envisioned as a paradigm shift, with a plethora of applications, on the premise of well-established enabling technologies; prominently Wireless Sensor Networks (WSNs) and RFIDs. The former has evolved to improve energy efficiency and resilient operation, yet, true scalability has only been recently probed and quite sparsely advancing. Moreover, the traditional approach whereby most WSN platforms are tailored for a single-application to meet a given efficiency metric.

Name: Jeonghan Kim

Affiliation: Samsung Electronics Co., LTD, Korea


Short Bio: Jeonghan Kim has been devoting himself to the research and development of software systems for almost 30 years. He had been with Hyundai Electronics, Korea (currently SK hynix) from 1990 to 1995, where he was involved in the development of laser printer control and emulation software. Jeonghan also worked for Philips Semiconductors at Silicon Valley, CA from 1997 to 2002, and made big contributions to the design of software architecture adopted for Philips Set-Top-Box/D-TV SoC. Jeonghan joined Samsung Electronics, Device Solution Devision, Korea in 2003. In Samsung he led the software development team at Memory Division. The major products of his team include SSD and eMMC system, which take big portion of market share these days and the SSD models are PM830 and PM840 of 128/256/512 GB capacity.  He also managed System LSI Embedded SW Center, which pioneered the Android platform of the Samsung Galaxy smartphone series, now recording more than 100 million accumulated sales in the world, and 30 million surplus sales than iPhone even in the last quarter of 2013.

He is currently Senior Vice President, Director of Software R&D Center of Device Solution Division. The center was established in 2012 to take the leading role of the research and development of next generation software systems and solutions for semiconductor devices, servers, cloud computing, IoT, and so forth, targeting various wired/wireless systems and big data applications.  The center has its branch office and R&D team in Xian, China and SanJose, USA.

Topic: Flash to shed light on Big Data

Abstract: We live in an era of data explosion that we have not even imagined. The concept of Big Data has developed how to analyze such huge data sets, but the ever-increasing challenge of hyper scale data starts to bring a paradigm shift in the system architecture even for Big Data. Low-cost commodity hardware considered common in data center is now being replaced by more scale-up systems, and high-performance storage architecture receives more attention because of I/O intensive workloads and new demands of real-time analytic. Moreover, the nosedive of SSD price with 3D Flash technology brings more opportunities in adoption of massive Flash storage for data center from the viewpoint of total cost of ownership. This talk will present how Flash technology will shed light on new storage architecture for Big Data and what research topics are waiting for your names to be put on.


Dr. Yiqing Zhou

Affiliation: Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China


Short Bio: Yiqing Zhou received the B.S. degree in communication and information engineering and the M.S. degree in signal and information processing from the Southeast University, China, in 1997 and 2000, respectively. In February 2004, she received the Ph.D. degree in electrical and electronic engineering from the University of Hong Kong, Hong Kong. Now she is a professor supported by the “100-Talent” Program in Wireless Communication Research Center, Institute of Computing Technology, Chinese Academy of Sciences. Dr. Zhou has published over 80 papers and book chapter in the areas of wireless mobile communications. She is a associate/guest editor for IEEE Trans. Vehicular Technology, IEEE JSAC (Special issue on “Broadband Wireless Communication for High Speed Vehicles'” and “Virtual MIMO”), WCMC, ETT and JCST. She is the symposia co-chair of IEEE ICC2015, the symposium co-chair of ICC2014, TPC co-chair of ChinaCom2012, the tutorial co-chair of IEEE WCNC2013 and ICCC2014, and the workshop co-chair of SmartGridCom2012 and GlobeCom2011. Dr. Zhou also served as the member-at-large for IEEE NIC in 2013.

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Name: Zhignag Ye

Affiliation: Wuhan GreeNet, China


Short Bio: Zhigang Ye has over 20 years of experience in IT industry. He started the Wuhan GreeNet in 2003 and he introduced a High-Performance software packet-forwarding platform based on the standard X86 architecture, which has achieved industry-leading performance for a standard X86 device can handle 40Gbps of real networking traffic. On the basis of high-speed forwarding platform, Zhigang have released a carrier-grade DPI product, a big data telecommunication analysis system and an SDN/NFV product, providing the overall solution including networking data collection, user experience perceiving and network resources auto-provision for carriers. Nowadays, the solution is covering 10Tbps links, serving about 10 million broadband users in China.

Zhigang’s big data platform mainly serves the service providers, focusing on the network quality analysis, user profiling, marketing analysis and user experience analysis. The solution has been proved in many domestic communication operators, helping them solving data storage, analysis and mining with big data technology. It is an outstanding example of the successful application of big data in carriers. In addition, he is also responsible for the Major National Projects of Next-Generation Internet, IPv4-IPv6 transition gateway, and in this area he has achieved fruitful scientific and economic successes. Currently, Zhigang is leading the research of the SDN/NFV products, which will boost the operator's networking evolution with a promised future.

叶志钢,20IT从业经验。2003年创立武汉绿色网络公司,领导绿网公司在通用硬件平台下采用软件方法实现高性能包分析、转发领域取得业界领先的成就,单台X86设备可以处理40Gbps的用户流量。在高速转发平台的基础上,又相继开发了运营商级DPI、电信大数据分析平台和高性能SDN产品,为电信运营商提供从网络数据采集、用户体验感知到网络资源自动调整的整体解决方案。产品覆盖链路总流量约为10T bps,覆盖约1000万宽带用户。

叶先生领导开发的运营商大数据平台主要用于电信运营商的网络质量分析、用户画像、营销分析和用户体验分析,目前已经运行在国内的多个大型运营商,采用大数据技术对运营商数据进行存储、分析、挖掘,是国内运营商成功应用大数据的范例。此外,叶先生还负责国家下一代互联网重大专项ipv4-ipv6过渡网关产品的研发,并在这个领域取得了丰硕的科研和经济成果。目前叶先生正在领导绿网公司 NFVSDN 新产品的研发,将助力运营商的网络演变。

Topic: TAB

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Name: Bin Xie

Affiliation: InfoBeyond Technology, USA


Short Bio: Dr. Bin Xie is the founder of InfoBeyond Technology. He received his M.Sc and Ph.D. degrees in Computer Science and Computer Engineering from the University of Louisville, Kentucky, USA, 2003 and 2006 respectively. He is the author of books titled Handbook/Encyclopedia of Ad Hoc and Ubiquitous Computing (World Scientific: ISBN-10: 981283348X, World Scientific Publisher), Handbook of Applications and Services for Mobile Systems (Auerbach Publication, Taylor and Francis Group, ISBN: 9781439801529, 2012) and Heterogeneous Wireless Networks- Networking Protocol to Security, (VDM Publishing House: ISBN: 3836419270, 2007. 

Dr. Xie has published 70+ papers in the IEEE conferences and journals.  His research interests are focused on cyber security, wireless communication, intelligence, and user performance. In particular, he has performed substantial research works on the fundamental aspects of 4G, WiMAX, MANEt, sensor networks, Airborne networks, authentications and access control, and Internet/wireless infrastructure security. He has successfully established many mathematical models (e.g., graph theory, information/code theory, linear programming, and optimization) for communication networks and their security. He developed algorithms or protocols for high capacity network, tactical networking, data analysis, social networks, and user mobility. Dr. Xie is the Principal Investigator of several projects that are supported by NSF or DoD.  His research is productive and some of proposed technologies are transferred from the DoD domain into the commercial domains. NXdrive is a product that provides much higher security and privacy protection on the data storage, compared to traditional encrypted data storage.

Dr. Xie severed as a member of NIH Special Emphasis Panel on System Science and Health in the Behavioral and Social Sciences, ZRG1 HDM-Q (50), 2012-2014. He is an editor member of the Journal of International Journal of Information Technology, Communications and Convergence (IJITCC). He was the Guest Edit Chair of Elsevier Future Generation Computer Systems (FGCS) in a special issue on Mobile Computing, 2012. He served as the program chair of IEEE HPCC-09 and received Outstanding Leadership Award. He was invited as the TPC member of a number of international conferences. He delivered a number of speeches in the Army, Navy, Air Force, Marine, academic, and industrial societies. Dr. Xie is an IEEE senior member.

Topic: Big Data Security, Privacy and Fusion – Technology, Production, Applications, and Markets

Abstract:   There are many challenges to maintain big data security and privacy in the distributed data storage. It is also a challenge to discover meaningful information from large quantities of data with unknown structure, which is beyond the abilities of human to manually process such a massive amount of data without machine assistance. The centralized data processor is unable to cope with the nature of distributed data sources. On the other hand, cloud architecture offers an efficient way to share and store data in a distributed cloud nodes. It is imperative to develop a system which utilizes the cloud infrastructure for parallel processing of distributed data. However, several technical challenges such as maintaining common data model and reasoning across data nodes need to be addresses before it can be used. In this talk, we explore the technology and applications as well as product development and markets, focusing on secure data storage and data fusion for knowledge discovery for distributed heterogeneous data sources in cloud environments.  For data storage, we exclude the traditional data storage file by file and advocates new products that use fragment-based data storage technology, where fragment is a piece of data that discloses nothing about the data content while providing higher security and privacy protection than encryption. For data fusion, we discuss a number of important functionalities based on a machine learning approach for information extraction and discovery in cloud environments. It can advance the state-of-the-art fusion technique, and lead to several practical applications in commercial sectors. The approach provides an efficient way for information discovery and integration based on the parallel programming structure of MapReduce. Cloud nodes can further collaborate with each other via the iterative processing to improve the system performance. It can quickly retrieve useful information from massive datasets to obtain business opportunities.


Name: Chi-Tsun (Ben) Cheng

Affiliation:Hong Kong Polytechnic University


Short Bio:Chi-Tsun (Ben), Cheng received the B.Eng. and M.Sc. degrees from the University of Hong Kong, Hong Kong, in 2004 and 2005, respectively, and the Ph.D. degree from the Hong Kong Polytechnic University, Hong Kong, in 2009. He was a recipient of the Sir Edward Youde Memorial Fellowship during his studies. From 2009 to 2011, he was a Post-Doctoral Fellow with the Department of Electrical and Computer Engineering, the University of Calgary, Canada. He was involved in a GEOIDE project, which is supported by the Government of Canada through the Networks of Centers of Excellence Programs. He is currently a Research Assistant Professor with the Department of Electronic and Information Engineering, the Hong Kong Polytechnic University, Hong Kong. He is the chair of the International Workshop on Smart Sensor Networks since 2012. His research interests include wireless sensor networks, bio-inspired computing, and meta-heuristic algorithms.

Topic: Delay-Aware Big Data Collection Strategies for Sensor Cloud Services

Abstract:   Cloud computing refers to the deliver of services, in forms of hardware infrastructures and software applications, to users over the Internet on an on-demand basis. Cloud computing provides elastic storages and high processing powers that make it highly applicable for applications such as scientific and financial calculations. Sensor networks can help utilizing the capabilities of a Cloud as it allows the Cloud to interact with the physical world directly. With the substantial data aggregation and processing capabilities of sensor networks, the Cloud can use its sensor networks to feed itself with real-time information and make critical decisions instantly. The Cloud may also use its sensor networks to fetch for new information and further enrich its knowledge base.

Sensor networks comprise massive volumes of sensor nodes that could be the big data sources. However, a sensor node is usually an electronic device composed of a microcontroller, a transceiver, a sensor, and a power supply. Sensor nodes are commonly having the characteristics of compact in size, low power consumption, limited memory storages, and low processing capabilities. The aforementioned advantages of Cloud computing can compensate the shortcomings of the simple sensor nodes. In this talk, the delay of a data collection process in sensor networks is selected for study. The talk will go through the above issue and explain the importance of the issue to a real-life application that involves a Cloud-like architecture. Furthermore, solutions for scenarios with different data collection criteria will be provided for various cloud services. 


Name: Steven Grover (Business Development Manager) and Jean (Yujing) Liu 刘俣婧 (Program Manager)

Affiliation: Comrise, USA


Short Bio: Steven Grover is currently the Business Development Manager for RT-FIT, a HR technology startup which is a spin-off of Comrise, Inc - a global consulting firm specializing in Managed IT, Big Data, and Workforce Solutions. His primary responsibilities include business development and strategic partnerships, as well as leading all marketing initiatives including demand generation, brand management, and public relations. Prior to joining the RT-FIT team, Steven served as the Director of Marketing for Comrise, Inc. for 4+ years, as well as an Ambassador for Comrise, Inc. in China for 6+ months.

Short Bio: Jean Liu is currently the project manager of RT-FIT application, a patented candidate prioritization product that leverages data mining and machine learning from prior hiring patterns. Jean is responsible for managing RT-FIT product development and initiatives, and client application integrations. Prior to joining the RT-FIT team, Jean had brought to Comrise one of the fastest growing accounts and served as the Account Executive. Jean holds a Master Degree in Economics from Florida State University. She joined Comrise as a project management specialist after graduate school. Jean is especially interested in gleaning business insights through big data analysis.

Topic: Do Big Data Algorithm Beat Instinct in Hiring?

Abstract: In our presentation, we will be demonstrating that just as algorithms can be used successfully to perform credit analysis, algorithms can also be used to prioritize candidates for jobs. In addition, we will be discussing RT-FIT, our patented candidate prioritization process based upon the machine learning algorithm.


CyberC/Bigdata Sumit 2014 Keynote Moderator: David Lu 陆惠晨

Affiliation: VP, AT&T, USA

Short Bio: David is currently, Vice President of Business Network & Corporate Solution IT, responsible for Global Service Assurance, Network Capacity Management, Field Operation Dispatching, and Business Billing Solutions at AT&T. He leads an organization with over 3,500 people across the globe.

David is an well respected leader in software architecture and engineering, network performance and traffic management, large data DB implementation/mining/analytics, software reliability and quality, and network operations process engineering. Since joining AT&T Bell Labs in 1987, he served in various lead positions at AT&T. He holds 21 patents and has frequently appeared as a guest speaker at technical and leadership seminars and conferences throughout the world.

David is married with two Children, and currently lives in Dallas, Texas.

Country of Birth: Shanghai, China (中国, 上海)

Personal Interests: Classical music (performs and teaches cello), history, traveling, arts, and table tennis.


Keynote Speaker Organizer: Chi-Ming Chen PhD 陳啟明,

Affiliation: AT&T Labs, USA

Chi-Ming Chen joined AT&T in 1995. His current responsibility is the operations support system (OSS) architecture. Prior to joining AT&T, Chi-Ming was with Bell Communications Research (Bellcore) from 1985 to 1995. He was a faculty member at Tsing Hua University, Hsinchu, Taiwan from 1975 to 1979.

He received his Ph.D. in Computer and Information Science from the University of Pennsylvania in 1985; M.S. in Computer Science from the Pennsylvania State University in 1981; M.S. and B.S. in Physics from Tsing Hua University, Taiwan, in 1973 and 1971 respectively.

Chi-Ming Chen is a senior member of IEEE and ACM. He is an Advisory Board Member of IEEE Communications Society (ComSoc) Technical Committee on Communications Quality & Reliability (CQR) and a member of the IEEE GLOBECOM & ICC Management & Strategy (GIMS) Standing Committee. He has chaired several GLOBECOM and ICC Industry Forums.



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