CyberC 2016 Big Data and SDN/NFV Summit Invited Speakers

Mahmoud Daneshmand, PhD, Professor, Stevens Institute of Technology, New Jersey, USA

Dr. Mahmoud Daneshmand is currently Professor of Business Intelligence & Analytics as well as Computer Science Departments at Stevens Institute of Technology. He is Co-Founder of the new Business Intelligence & Analytics Maters Degree program. In this role, he teaches graduate courses, conducts research and advises PhD students in areas of Big Data and in particular Sensors and Streaming Data. He is co-founder and chair of Steering Committee of the new IEEE Journal of Internet of Things (IoT), and Guest Editor of the IEEE Sensors Journal SI. He is an expert in Big Data Analytics, IoT/Sensors & RFID Data Streams, Data Mining Algorithms, Machine Learning, Probability & Stochastic Processes, and Statistics.

Mahmoud has served as Distinguished Member of Technical Staff (DMTS) at Bell Labs as well as AT&T Shannon Labs-Research; Assistant Chief Scientist of the AT&T Labs; and Executive Director of the AT&T Labs university collaborations program. He has more than 35 years of teaching, research & publications, consultation, and management experience in academia & industry including: Bell Laboratories, AT&T Shannon Labs-Research, University of California at Berkeley, University of Texas at Austin, Sharif University of Technology, University of Tehran, New York University, and Stevens Institute of Technology.

He has published more than 91 Journal and conference papers; authored/co-authored three books; Holds two patents (2009 and 2010). He has been Guest Editor of several IEEE journals; keynote speaker of many IEEE conferences; Executive Committee of GLOBECOM as well as ICC; Chair of Steering Committee of IEEE ISCC; and General Chair and Technical Chair of many IEEE conferences.

He has a PhD and MS in Statistics from the University of California, Berkeley, and MS and BS in Mathematics from the University of Tehran.

Representing the IEEE Big Data Initiative

Topic: Big Data, Internet of Things, Cybersecurity, Stream Analytics & Knowledge Discovery

Extended Abstract:

Big Data of early 2000s were generated and recorded by Telecommunications industry. These included: Call Detail Records (CDR); IP Traffic; Cellular Traffic; Audio and Video; etc. Scientists and Engineers of Bell Laboratories and AT&T Shannon Labs were among the first to realize the value of Big Data in Intelligent Network Operations, Network Management; Designing the future Networks; Business Applications and Customers Satisfaction; Creation, Delivery and Operations of New Services; and specifically Fraud & Network Intrusion Detection and Security.

The current, as well as Big Data of the future, are being generated by Internet of Things (IoT), Smart Phones and Mobility Devices, Wearables, etc. i.e., billions of “things” connected to the Internet. This had led to even Bigger Data, and more dynamic than traditional “Static Data”. It is “Data in Flight”, “Data in Motion”, also called “Streaming Data”. Data streams arrive continuously and so rapidly that it is not feasible or useful to store it in a conventional database and then analyze it at the time of our choosing, if it is not processed immediately, then its value is lost forever. For example, detecting a cyber-security attack cannot wait for data warehouse style processing. The Nature of Data Analytics has changed

The Biggest Challenge of the current IoT and Cybersecurity is: Management and Mining of ever-increasing Streams of data. “Analytics Are a Key Part of Value Creation in IoT”, says Pankaj Patel, EVP of Cisco. “The challenge of IoT today is making sense of all the data we’re creating and capturing”, says Ginni Rometty, chairman, president and CEO of IBM. “We have moved from data mining to information mining to knowledge mining and from big data analytics to real-time streaming analytics which most people now called Business Intelligence”, writes Dr. Hossein Eslambolchi, Executive Chairman - CYBEFLOW Analytics on Tech Predictions 2016.

This talk will focus on challenges of the emerging Big Data Streams Analytics & Knowledge Discovery. Emphasize will be on end-to-end Big Data Stream Analytics including: data acquisition, data communications & networking, data quality & reliability, data security, fog/edge and cloud computing, and stream data analytics technologies. Applications to Cybersecurity will be presented. Future academia & industry challenges including research directions and opportunities emerging from disruptive technologies of: IoT, Mobility Devices, Cybersecurity, and near real-time large-scale Big Data Streams Analytics will be covered.



Dr. James Won-Ki Hong, Dean of Graduate School of Information Technology and Professor of Computer Science and Engineering, Pohang University of Science and Technology (POSTECH), Korea

James Won-Ki Hong is Dean of Graduate School of Information Technology and Professor in the Dept. of Computer Science and Engineering at POSTECH, Pohang, Korea. James worked as CTO and Senior Executive Vice President for KT from March 2012 to Feb. 2014, where he was responsible for leading the R&D effort of KT and its 50 subsidiary companies, and where he initiated R&D on SDN. He was Chairman of National Intelligence Communication Enterprise Association, and Chairman of Telecommunications Technology Association (TTA) Standardization Board in Korea. He co-founded SDN/NFV Forum in Korea in Oct. 2014 and has been leading it as Executive Director. His interests include network innovation (such as SDN and NFV), cloud computing, fog computing, mobile payments, Smart IPTV, and ICT convergence (such as Smart Home, Smart Grid, e-Health). He was co-founder and CTO of Netstech, a Palo Alto, USA-based startup developing network integrated ultra-dense, blade servers from 2000 to 2002.

Over the past 20 years, James has been an active volunteer in various committees in IEEE, ComSoc, and KICS. He has served as Steering Committee Chair of IEEE NOMS, IM and APNOMS, as well as Chair of CNOM and KNOM. He has also been serving as EiC of Wiley’s International Journal of Network Management (IJNM, as well as an editorial member of the IEEE TNSM, JNSM and JCN. He was the General Chair of IEEE NetSoft 2016.

James received his HBSc and MSc degrees in Computer Science from the University of Western Ontario, Canada in 1983 and 1985, respectively, and the Ph.D degree in Computer Science from University of Waterloo, Canada in 1991

Representing the IEEE SDN Initiative

Topic: SDN/NFV & Open Networking Ecosystem


Software-defined networking (SDN) and Network Function Virtualization (NFV) are promising, emerging networking technologies for reducing CAPEX and OPEX, and for providing flexible and agile service infrastructure for network operators. Open networking systems encompass SDN, NFV and open source networking and system software needed for network softwarization. This talk will start with the motivation and need for SDN, NFV and open source networking. It will then present ‘Open Networking Reference Model’ and ‘Open Networking Ecosystem’ that covers open source projects and software for bare metal switches and servers, virtual switches, open network operating systems, controllers, orchestration, and network applications. It will also provide latest standardization efforts by SDOs as well as the latest uses cases by telcos around the world.


Dr. Chih-Lin I 易芝玲 , Chief Scientist, Wireless Technologies, China Mobile Research Institute

Chih-Lin I received her Ph.D. degree in electrical engineering from Stanford University. She has been working at multiple world-class companies and research institutes leading the R&D, including AT&T Bell Labs; Director of AT&T HQ, Director of ITRI Taiwan, and VPGD of ASTRI Hong Kong. She received the IEEE Trans. COM Stephen Rice Best Paper Award, is a winner of the CCCP National 1000 Talent Program, and has won the 2015 Industrial Innovation Award of IEEE Communication Society for Leadership and Innovation in Next-Generation Cellular Wireless Networks.

In 2011, she joined China Mobile as its Chief Scientist of wireless technologies, established the Green Communications Research Center, and launched the 5G Key Technologies R&D. She is spearheading major initiatives including 5G, C-RAN, high energy efficiency system architectures, technologies and devices; and green energy. She was an Area Editor of IEEE/ACM Trans. NET, an elected Board Member of IEEE ComSoc, Chair of the ComSoc Meetings and Conferences Board, and Founding Chair of the IEEE WCNC Steering Committee.

She was a Professor at NCTU, an Adjunct Professor at NTU, and currently an Adjunct Professor at BUPT. She is the Chair of FuTURE 5G SIG, an Executive Board Member of GreenTouch, a Network Operator Council Founding Member of ETSI NFV, a Steering Board Member of WWRF, a member of IEEE ComSoc SDB, SPC, and CSCN-SC, and a Scientific Advisory Board Member of Singapore NRF. Her current research interests center around “Green, Soft, and Open”.

Topic: Mid-Point Perspective of the 5G Journey


After several years’ of worldwide pursuit of 5G solutions, the campaign on 5G standards has already started, with intensive discussions on network architecture, protocol stack and physical layer technologies. At this mid-point of 5G journey, we need to make sure the soon-to-be partially specified 5G standards are on the right track to satisfy the challenging demands of mobile communication in various scenarios in 2020s or even earlier.

Towards a “Soft, Green and Super-Fast” 5G, CMCC’s 5G R&D activities followed several innovative R&D themes:1) Rethinking Shannon to start a green journey on wireless systems; 2) Rethinking Ring & Young for no more “cells”; 3) Rethinking signaling & control to make network applications- and load-aware; 4) Rethinking antennas to make Base Stations invisible via SmarTiles; 5) Rethinking spectrum & air interface to enable wireless signals to “dress for the occasion”; 6) Rethinking fronthaul to enable Soft RAN via next generation fronthaul interface (NGFI); and 7) Rethinking the protocol stack for flexible configurations of diversified access points and optimal baseband function split between the BBU pool and the remote radio systems.

This talk will give an overview of CMCC’s 5G solutions, standardization roadmap, spectrum strategy, prototyping and field trial plans, with the focus on the 7 rethinking and their impact on 3GPP 5G new radio (NR) standardization.


Naresh Sadhnani, Head of BI Big Data and Analytics for the ASEAN Region at Tech Mahindra

Naresh Sadhnani is Head of BI Big Data and Analytics for the ASEAN Region at Tech Mahindra. He has a total of 20 years IT industry experience with over 16 years within the APJ region. Over the years Naresh has worked across the Data Warehousing and Big Data technology space developing significant technical & business acumen geared to creating positive change across an enterprise. He has achieve corporate objectives through passion and commitment to integrating Big Data technologies and advanced enterprise analytics. He is also a recognized thought leader within the Big Data community in the region. As a Head for Big Data Strategy and Solutions (ASEAN) at Tech Mahindra, Naresh has successfully contributed in the following areas:

  • Evangelize the benefits of Big Data Services to customers around the region

  • Create thought leadership in Big Data as a trusted adviser to senior IT leaders and the CXO suite

  • Cultivate and take to market unique Big Data solutions

  • Possess broad current industry knowledge of all technologies and trends related to Big Data

  • An agile, enthusiastic professional who takes pride in being on top of the technology leading edge.

  • Strong influencer, capable of connecting customers to the "right solution at the right time" resulting in excitement and real business ROI

Topic: Data as a Strategic Asset


Big data and analytics have become a prime focus of organizations in this decade. Together both promise to transform the way business is done and delivering high performance gains. In the last decade and 1990s organizations focused on their core processes. But as these organizations mature in their process driven approach they realize an importance for a data-driven strategies to provide them with competitive differentiation.

In this presentation we will provide a view on how executives should focus on targeted efforts to source data, build models, and transform organizational culture.

“The old way of doing data management, where you’re looking at things very tactically, is not going to cut it in the future. Organizations need to evolve from a tactical perspective to a more strategic, holistic approach with their data”

Mark Troester, IT/CIO thought leader

Jia Zeng, PhD, Senior Researcher, Huawei Noah’s Ark Lab, Hong Kong

Dr. Jia Zeng received the B.Eng. degree from the Wuhan University of Technology, Wuhan, China, in 2002, and the Ph.D. degree from the City University of Hong Kong, Hong Kong, in 2007. He is a senior researcher at Huawei Noah's Ark Lab, Hong Kong. His research interests are machine learning and spatiotemporal big data mining applications. His major contributions include probabilistic graphical models and telco big data applications. He has co-authored one book and published more than 60 papers in top journals and conferences such as IEEE TPAMI, TKDE, TFS, ACM TIST, CIKM, JMLR, SIGMOD, VLDB, WWW and ICDM. He is a member of the CCF, the ACM and a senior member of the IEEE.

Topic: Telco Big Data


Big data have been improving steadily user experience and productivity. Telco big data come from the telecommunication (telco) platform composed of the BSS (Business Supporting System) and OSS (Operations Supporting System) systems, which accumulate billions of customers’ 7-dimensional (7D) data including 1D for real ID (basic information), 1D for customer behavior data (communication, internet, consumption, complaint, network experience and recommendation feedback), 1D for social network, 1D for time series and 3D for spatial information (outdoor base station and indoor small cell localization). Telco big data platform can support modeling of 7D customer data, which enables three business upgrades: customer insight, network insight and data openness. This talk will describe and discuss some important use cases in telco big data analytics.


Dr. Hao Li , senior engineer in Science and Technology, Electronic Information Control Laboratory, Chengdu, China

Dr. Hao Li received the Ph.D degree from the Department of Electronic Engineering, Shanghai Jiao Tong University, Shanghai, China, in 2009.

He is currently a senior engineer in Science and Technology of Electronic Information Control Laboratory, Chengdu, China. His research interests include wireless communication, Cyber security and data mining. He has directed several projects funded by the National High Technology Research and Development Program of China (863 Program) and published more than 10 journal and conference papers.

Topic: Cyber Threat Detection and Application Analysis


With the security situation in Cyberspace constantly becoming worse, Cyber threat detection has attracted a lot of researching attentions. In this keynote, existing detection technologies are firstly reviewed. Secondly, a framework of capturing the abnormal traffic of botnets is proposed. Major modules and key detection techniques are presented at the same time. The hidden threat detection in physically isolated network is also discussed in this keynote, and a detection system capable of detecting and locating hidden malicious programs is proposed and validated by experiments. Conclusions and future researching suggestions are given finally.



Prof. Yegin Genc, Pace University, New York, USA

Yegin Genc is an Assistant Professor at Seidenberg School of Computer Science and Information Systems at Pace University. He received his Ph.D. in Information Management from Howe Business School at  Stevens Institute of Technology in 2014.  His research draws from exploratory search, information retrieval, and text analysis with a particular focus on semantic transforms with collaborative knowledge bases such as Wikipedia. Previously, he was the Director of Professional Services at Interneer Inc. He holds an M.Sc. in Information Technology from University of Central Missouri and a B.Sc. in Mechanical Engineering from Istanbul Technical University. 

Topic: Data Mining: Tools and Practices


We have been generating an unimaginably large amount of data, which is getting ever larger at an increasing rate.  Following the trend, there have seen many valuable application types and a number of available tools, both commercial and open source, to make use of the data that is available.  Having access to data and such toolsets opens up possibilities to do many things that previously could not be done. So it is important to have a good understanding of these techniques and the tools that are available. In this talk, we will look at some of the state of the art analytical processes and toolsets for data mining. 


Xiaolong Xu 徐小龙, PhD, Professor, Nanjing University of Posts & Telecommunications, China

Dr. Xu is currently a professor in College of Computer, Nanjing University of Posts & Telecommunications. He received his B.S. in computer and its applications, M.S. in computer software and theories and Ph.D. degree in communications and information systems, in 1999, 2002 and 2008, respectively. He is a senior member of China Computer Federation. He teaches graduate courses and conducts research in areas of Cloud Computing, Big Data, Information Security and Novel Network Computing Technologies.

As the leader of project teams, he has successfully completed a number of high-level research projects, including the projects sponsored by the National Science Fund of China and the project sponsored by the Doctoral Fund of Ministry of education of China, etc.

He has published more than 60 Journal and conference papers as the first author and co-authored three books. He is authorized 21 patents by the State Intellectual Property Office of China as the first inventor.

He was rated as excellent young professor of Jiangsu Province in 2014, selected as the high-level creative talents of Jiangsu province in 2015, and won the title of outstanding expert in the area of computer science and technology.

Topic: Green Cloud Computing - Process and Storage Infrastructure for Big Data


High-energy consumption in cloud data centres and its effects to the environment raised widespread concerns around the world. The reasons for the high-energy consumption are because of the unorganized distribution of energy, low efficient managements of resources, and less organized tasks executions. Our objectives are to establish an energy-consumption model and a green cloud computing model based on detailed analysis of operations of data centres and energy consumption owing to the operation, develop algorithms to allocate resources, schedule tasks execution, and distribute and aggregate data towards green cloud computing, and thus make the operation of components of cloud system orderly, reduction of energy consumption efficiently and reasonably under the guarantee of system QoS and Service Level Agreement (SLA). The exclusive research efforts in modelling green cloud computing and resource allocation and tasks execution scheduling will play an important role in reducing energy consumption and emission of gases to the globe.



Dr. Shuo-Yen Robert Li (Bob Li) 李硕彦

Distinguished University Professor, University of Electronic Science and Technology of China (UESTC)

Professor Bob Li received PhD in Math from UC Berkeley in 1974. He taught Applied Math at MIT in 1974-76 and Math/Statistics/CS at UI Chicago in 1976-79. Subsequently he worked at Bell Labs/Bellcore for a decade. In 1989-2014 he was a chair professor at The Chinese University of Hong Kong (CUHK). Since 2014, he has been Distinguished University Professor at UESTC. He is a Professor Emeritus of CUHK and a lifetime Honorary Professor at Xidian University, Harbin Engineering University, UESTC, Southwest Jiaotong University, and Xiamen University. He also serves as the Great Master of Science for a BUPT base of the “111 IGAT Program” of China.

Prof. Li's expertise is in bridging mathematics and engineering. This includes, in particular, his pioneering work in network coding theory, algebraic switching theory, and stochastic processes. In 1997, Prof. Li constructed the “Butterfly Network” example and generalized it into network coding theory in linear algebra, which is now a popular field. These findings appeared in a 1998 conference paper and later in the award-winning article “Linear Network Coding,” where he was joined by two co-authors. Prof. Li also started the field of algebraic switching. The algebraic switching fabric was adopted by the major project “Metro Switch” of ITRI. His application of Fermat’s Little Theorem to TSPS Switching System and saved the Bell System US$48M. “Martingale of patterns” represents Prof. Li contribution to the field of stochastic processes. It engenders a research area with applications to various fields and has been extensively quoted by the textbook “Stochastic Processes” of Ross and other books. Prof. Li holds 33 US patents and is a winner of IEEE Sumner Award.

Topic: Network Coding -- Applications and Basics


Network coding (NC) brings a paradigm shift in the data transport mode from the traditional store-and-forward. The linear-algebraic theory of NC structures data units as a finite field, and the fundamental theorem guarantees the best possible throughput. Linearity makes the hardware/software implementation feasibly fast for practical applications, including wireless communications, redundant storage, P2P content delivery, IC layout, security, optical communications, sensor networks, etc. All these applications are under different contexts. Luckily theButterfly Network provides an example that is comprehensible to people in all walks of life and, at the same time, is generalizable into elegant mathematics.

The wide applicability has generated interest in multi-disciplinary research among computer science, information/coding theory, matrix theory, networking, operations research, and switching. NC is now one of the most active fields in information technology. Since 2003, the NC literature has grown explosively to about 10,000 papers and books.


Charles (Zhegnyu) Liu 刘征宇, CEO of AVIC CZ (Shanghai) IOV CO., Ltd ,金航长征上海车联网有限公司总经理

Mr. Charles (Zhegnyu) Liu has over 30 years executive experiences in telecommunication, mobile, software and cloud service industries, from North America to Asia Pacific. He is currently CEO of AVIC CZ (Shanghai) IOV CO., Ltd, which is focusing on hardware, software development and platform operation for best-in-class Internet Of Vehicle services. Before his current post, he was CEO of Sky Tech, a CISCO-TCL JV company which provides Internet based multimedia collaboration services in China from 2015 to 2016. Mr. Liu also served as SVP and CTO of Appconomy, a location-based O2O cloud service company from 2013-2014. He is still a senior adviser of Appconomy.

From 2006 to 2013, he was in senior positions of RIM (maker of BlackBerry): Chairman of RIM China, GM of RIM China, Chief Rep of RIM Greater China. He built the China team and expanded business of BlackBerry mobile devices and services into China. From 2000 to 2006, Mr. Liu served in several senior positions of Entrust Inc, a global leading security company as Business director of Asia Pacific, Greater China technical director, Greater China country manager, Chief Rep of Beijing rep office.

Beside his business activities, Mr. Liu started his MNC career in Nortel Networks/Bell Northern Research as a software developer and software development manager of digital switching and security solutions in Canada.

Mr. Liu was a lecturer of Shanghai University of Science & Technology, China, and visiting scholar of University of Ottawa, Canada. He obtained M.Sc from University of Ottawa and B.Sc from Shanghai University of Science and Technology. He also studies in Guanghua Management School of Beijing University.

Mr. Liu is also involved in many voluntary social activities, He served as a board Director of CCBC Beijing section, VP of Canada branch of WRSA, President of China Alumni of University of Ottawa; Visiting professor/teacher of Beijing University of Post and Telecom, Chongqing University of Post and Telecom, Neusoft University, Shanghai University, New Huadu Business School; Advisor of IT Weekly, Center for China and Globalization, etc.

Topic: Security Practice on Internet of Vehicle Service


With the increase of connected things (e.g. cars), there is no surprise that security is one of top concerns. This presentation will summarize the needs of IOV security from both technical and operation perspectives. Its practical business impact severity will be analysed. Finally, a best practice of all parties (e.g. service provider, users) will be shared for discussion.


Alok Srivastava, Lead Architect, Microsoft Corporation, USA

Alok Srivastava is a lead architect with Microsoft services focusing on Internet of Things global scale architecture. He is focused on data ingestion from devices, in-flight analytics and scale models for machine learning with security, performance and distributed intelligence models that drive the modern IOT implementations. Alok has worked as CTO in Microsoft services and established CTO office that focuses on in-operation solution lifecycle. He was CTO for ISV team at Microsoft where he was responsible for working with Microsoft partners on scale architecture that can absorb emerging technology trends. Alok has worked as technology and business advisor to a number medium and large businesses enabling them to bring successful products to their respective markets.

Prior to joining Microsoft, Alok worked for Sybase and Oracle Corporation, leading product development and R&D teams. His played a key role in distributed replication management systems, database extensibility, multi-media management in relational databases, location based services, formalization of web services, service-oriented architecture and collaboration platform. Alok worked as CTO with his startup focusing on sales process optimization and automation. His research interest include distributed high performance and scale computing, internet of things (M2M architectures), cloud computing, service oriented architectures, complex high scale knowledge systems, data architecture and business intelligence.

Alok graduated from University of Louisville in 1994 after getting his bachelor’s degree from Indian Institute of Technology, Kanpur in 1991. Alok is a seasoned technology executive, accomplished presenter and innovator with several patents. He has strong background in distributed large scale computing systems, transaction processing, data management, internet of things as well as complex system architectures.

Topic: Internet of Things: The world ahead


By now all of us have been touched by the internet of things whether we know it or not. Some of us know how these things work, what it takes to deploy them, manage them, connect them, instrument them, discover with them and change how we think about our world today. But the ultimate change these things of Internet are driving are far beyond what many of us can imagine. These are destined to change the way we think, we work, we learn, we live and the way we do anything and everything. This keynote is focused on the future of us driven by internet of things, knowledge they generate and impact they create. We are going to get a view into the vision of near future, we will peek into the next wave of changes coming our way and understand how the emerging trends are leading us on a path that will eventually define the future of us. This journey is not 1, 3 or 5-year journey, it is something that is likely to span a generation or two. We will take a peek into emerging trends and go beyond to discuss a vision of future where human and technology collaborate harmoniously for new things to exist.



Anup Kumar, PhD, Professor, University of Louisville, Kentucky, USA

Anup Kumar ( completed his Ph.D. from North Carolina State University and is currently a Professor of CECS Department at the University of Louisville. He is also the Director of Mobile Information Network and Distributed Systems (MINDS) Lab. His research interests include web services, wireless networks, distributed system modelling, and simulation. He has co-edited a book titled, “Handbook of Mobile Systems: Applications ands Services” published by CRC press in 2012. He is an Associate Editor of IEEE Transactions on Services Computing. He is also the Associate Editor of Internal Journal of Web Services Research and International Society of Computers and Their Application Journal. He is a member of IEEE Distinguished Visitor Program (2006-2008). He was the Chair of IEEE Computer Society Technical committee on Simulation (TCSIM) (2004-2007). He has published and presented over 150 papers. Some of his papers have appeared in ACM Multimedia Systems Journal, several IEEE Transactions, Wireless Communication and Mobile Computing, Journal of Parallel and Distributed Computing, IEEE Journal on Selected Areas in Communications etc. He was the Associate Editor of International Journal of Engineering Design and Automation 1995-1998. He has served on many conference program and organizing committees such as IEEE ISCC 2007, IEEE ICSW-2006, IEEE MASS-2005, IEEE SCC-2005, IEEE ICWS-2005, CIT-2005, IEEE MASCOTS, ADCOM 97 and 98. He has also edited special issues in IEEE Internet Magazine, and International Journal on Computers and Operations Research. He is a Senior Member of IEEE.

Topic: Big Data Analytic and Healthcare


The electronic medical record (EMR) initiative has generated mountain of data from all types of patients at the hospital, insurance companies and doctor’s office. The next big question is can we use this data to improve our healthcare system both in terms of patient care and cost as well. This talk will provide a framework of how Big Data Analytics can arm healthcare players and providers with practical knowledge to make better business decisions, streamline operational and assessment processes. The discussion will also include practical application and appropriate tools and technology to leverage Big Data.


SDN/NFV Summit Moderator: David Lu 陆惠晨, Vice President, Business Solutions Development, Technology Development, AT&T Services, Inc. USA

David, Vice President – Business Solutions Development, is responsible for Global Service Assurance, Network Fault and Rule Based Automation Platforms, Network Performance/Traffic/Capacity/Testing Management Platforms, Managed Services Platforms, and Field Operation Dispatching at AT&T. He leads an organization with more than 3,000 people across the globe.

David is a well-respected leader in software architecture and engineering, network performance and traffic management, business solutions, large DB and big data implementation/mining/analytics, software reliability and quality, and network operations process engineering.

Since joining AT&T Bell Labs in 1987, he has served in various leadership positions at AT&T. He holds 35 patents and has frequently appeared as a guest speaker at technical and leadership seminars and conferences throughout the world. He received numerous industry awards including the 2015 Chairman’s Award from IEEE Communication Society for Network and Systems Quality and Reliability.

He was admitted to the world renowned Shanghai Conservatory of Music but came to US to complete his college. He has an undergraduate degree in music, majoring in cello performance and graduate degree in Computer Science.



Big Data Summit Moderator: Chung-Min Chen, Ph.D. 陳仲民 , VP of Data Science, iconectiv, USA

Chung-Min currently leads the exploration of data science techniques for telecom applications that aim at improving mobile user experiences and business intelligence. Previously he was Chief Scientist with Applied Communication Sciences working on data analytics and privacy involving large sets of smart grid, financial, and web data. Prior to that, he was Chief Scientist and Director of Telcordia Technologies, during which he led and contributed to projects in OSS, telematics, and M2M. He also headed Telcordia’s applied research center in Taiwan, overseeing R&D, consulting, and customer engagement.

His research interest spans across areas in database systems, machine learning, parallel & distributed computing, mobile data, and mobile ad hoc network. He has published over 50 research papers in journals and conferences including The Journal of the ACM, IEEE Trans. on Knowledge and Data Engineering, ACM Transactions on Sensor Networks, IEEE Trans. on Mobile Computing, IEEE/ACM Trans. on Networking, IEEE J. SAC, INFOCOM, ACM SIGMOD, KDD, EDBT, ICDE, and ICDCS. He received the Newcomer Paper Award of ACM PODS 2002.

Chung-Min was an Adjunct Professor at National Taiwan University (2008-2011) and an invited speaker at the 2001 Data Mining Summer School at Rutgers University. He also served as the Chair of US ANSI expert group to Working Group 17 (Mobile Devices for ITS Applications) of ISO TC-204 (Intelligent Transportation System). He received PhD in Computer Science from University of Maryland at College Park and B.S. in Computer Science from National Taiwan University.


CyberC 2016 Summits Organizer: Chi-Ming Chen Ph.D. 陳啟明, AT&T Labs, USA

Chi-Ming Chen joined AT&T in 1995. He is with the AT&T Labs Architecture organization which defines the AT&T SDN/NFV network architecture and management methodologies. Prior to joining AT&T, Chi-Ming was with Bell Communications Research (Bellcore) from 1985 to 1995. His responsibilities included specification of quality and reliability requirements for various networks and network elements, and supplier product testing and analyses. From 1975 to 1979, Chi-Ming was a faculty member at Tsing Hua University, Taiwan.

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 is a Life Senior Member of IEEE and Senior Member of the Association for Computing Machinery (ACM). He is an Advisory Board Member of IEEE Communications Society (ComSoc) Technical Committee on Communications Quality & Reliability (CQR), a member of the IEEE GLOBECOM & ICC Management & Strategy (GIMS) Standing Committee, and  a member of the Industry Content and Exhibits Committee (ICEC). He has chaired several GLOBECOM and ICC Industry Forums and served as an IF&E (Industry Forum & Exhibits) Advisor for GLOBECOM 2014, ICC 2015, GLOBECOM 2015.

Chi-Ming is a Steering Committee member of the IEEE SDN Initiative. In addition to CyberC, he also organizes the annual IEEE Emerging Technology Reliability Roundtable (ETR-RT) since 2014.


Keynote Chair:
Dr. Bin Xie, (谢彬), CEO of InfoBeyond & NXdrive, USA

Dr. Bin Xie is the founder of the InfoBeyond. 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, big data, and user performance. Dr. Xie is the Principal Investigator of several projects that are supported by DoD and DoE.

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), 2012-2015. 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 delivered a number of speeches in the Army, Navy, Air Force, academic, and industrial societies. Dr. Xie is an IEEE senior member.

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