Welcome to the 9th CyberC, Nanjing, China!

CyberC 2017 Big Data and SDN/NFV Summit Invited Speakers


Dr. Shui Yu (余水)Deakin University, Australia

Shui Yu received his B.Eng (Electronic Engineering) and M.Eng (Computer Science) degree from University of Electronic Science and Technology of China , P. R. China in 1993 and 1999, respectively. He also obtained an Associate Degree in Mathematics from the same university in 1993. He received his PhD (Computer Science) from Deakin University in 2004. He is currently a Senior Lecturer of School of Information Technology, Deakin University, Melbourne, Australia. Before joining Deakin University , Dr Yu was a Lecturer of Computer College in University of Electronic Science and Technology of China. He has a good experience of industry, especially in network design and software development organization and implementation. His research interests include Big Data Theory and Application, Networking Theory and Application, and Mathematical Modelling. He dedicates himself in advance human understanding of networks and information, including their measurement, representation, analysis, and application. As a semi-mathematician, he targets on narrowing the gap between theory and application using mathematical tools.

Dr Yu is a Guest Professor of South West University of China, an overseas expert of the national 111 project at Beijing Jiaotong Univesity. Dr Yu is a Member of AAAS, ACM, and a Senior Member of IEEE.

Shui Yu is a Senior Member of IEEE, and a member of AAAS and ACM, the Vice Chair of Technical Subcommittee on Big Data Processing, Analytics, and Networking of IEEE Communication Society, and a member of IEEE Big Data Standardization Committee.

Dr Yu’s research interest includes Security and Privacy in Networking, Big Data, and Cyberspace, and mathematical modelling. He has published two monographs and edited two books, more than 150 technical papers, including top journals and top conferences, such as IEEE TPDS, IEEE TC, IEEE TIFS, IEEE TMC, IEEE TKDE, IEEE TETC, and IEEE INFOCOM. Dr Yu initiated the research field of networking for big data in 2013. His h-index is 22.

Dr Yu actively serves his research communities in various roles. He is currently serving the editorial boards of IEEE Communications Surveys and Tutorials, IEEE Access, IEEE Journal of Internet of Things, IEEE Communications Magazine, and a number of other international journals. He has served more than 70 international conferences as a member of organizing committee, such as publication chair for IEEE Globecom 2015 and 2017, IEEE INFOCOM 2016 and 2017, TPC co-chair for IEEE BigDataService 2015, IEEE ATNAC 2014, IEEE ITNAC 2015; Executive general chair for ACSW2017

More information of Dr Yu can be found at http://www.deakin.edu.au/~syu/

Topic: Networking for Big Data: Challenges and Opportunities


Big Data is one of the hottest topics in our communities, and networking is an indispensable corner stone for the fancy big data applications. As a result, there is an emerging research branch, Networking for Big Data (NBD), in networking and communication fields. In this talk, we will firstly overview the current landscape of this energetic area, and then present the unprecedented challenges in this new domain, and finally discuss the current research directions in the main topics in networking for big data. We humbly hope this talk will shed light for forthcoming researchers to further explore the uncharted part of this promising land.

Prof. Dongfeng Yuan, Shandong University,China

Dongfeng Yuan, Ph.D., full professor and doctoral supervisor in the School of Information Science and Engineering with Shandong University, Jinan, China.

Professor Dongfeng Yuan received his M. S. degree from Shandong University in 1988 in electrical engineering and got his Ph.D. degree in electrical engineering from Tsinghua University in China in January 2000. Now, he is the director and chief scientist of Collaborative Innovation Center of China Rainbow Project, director of Shandong Provincial Key Laboratory of Wireless Communication Technologies, vice-dean of Institutes of Advanced Information Technology of Shandong University, and also the chairman of IEEE Shandong section. He is the Principal Investigator (PI) of more than 10 national scientific research projects and more than 20 provincial projects in recent years. Till now, he has published more than 400 high level academic papers, including top journals and top conferences, such as IEEE JSAC, IEEE TWC, IEEE TCOM, IEEE TVT, IEEE GLOBECOM, IEEE ICC. He has applied for more than 110 national invention patents (54 patents have been granted, 1 patent has been successfully exploited in industrial products). He has won the second prize of State Natural Science Award of China, the first prize of Science and Technology Progress Award of Shandong Province, the second prize of Natural Science Award of Shandong Province, respectively.

He has been engaging in research on the new generation of information technologies, such as cloud computing, big data analysis and wireless communications.

Topic: Wireless Big Data Analysis: A Machine Learning Perspective 


 With the development of advanced wireless communication technologies and the prevalence of mobile devices, we humans has moved into an area of big data. Big data has become a significant area and got huge attentions in both research communities and industries. Wireless big data, which denotes the data generated from wireless devices and networks (cellular networks, mobile phones, sensor networks, etc.), has brought many challenges to current wireless communication systems, from network architecture to transmission technology and application level resource optimization. By analyzing the massive volume and high velocity wireless big data, we can obtain valuable insights into the behavior patterns of mobile users and functional mechanisms of wireless systems, which can improve the performance of wireless networks. How to leverage the power of machine learning techniques, such as deep learning, reinforcement learning and ensemble learning, to improve the efficiency of wireless networks is a critical research point.

In this talk, we will give a survey of wireless big data related techniques and describe a possible network architecture for future wireless communications. Then we will introduce several specific examples in data driven wireless communications from a machine learning perspective. In the first example, based on the data obtained from wireless channel measurements, we analyze wireless channels using convolutional neural networks. In the second example, we study the clustering-based methods to reduce the number of data transmission. Lastly, we propose a spatial-temporal traffic prediction method using DenseNet in cellular networks.



Dr. Chang Tan,  Vice Director of the Research Institute of iFlyTech, iFlyTech, China

Dr. Chang Tan received his Ph.D. in Computer Science from the he University of Science and Technology of China (USTC), Hefei, China, in 2014. He has founded Anhui RongData Co., Ltd. (national high-tech enterprises). He is currently Deputy Dean of iFLYTEK Bigdata Research Institute, responsible for bigdata technology research and application in the field of Smart City, Computing Advertising and Recommender System, etc.

Dr. Tan is mainly engaged in research and application of data mining and recommendation system technology. He has many years of research and practical experience in bigdata technology and personalized recommendation, with a focus on bigdata platform construction, user behavior analysis, mobile data analysis.

Dr. Tan has participated in more than 10 national research projects such as 863, National Natural Science Foundation of China. He has published prolifically in refereed journals and conference proceedings, such as ACM TIST, IEEE ICDM and ACM CIKM. He led the R&D team to complete a number of technical cooperation projects for Alibaba, China Mobile, China Telecom, Beijing Railway Bureau and other well-known domestic enterprises. For his outstanding contributions to data mining, he was elected an expert committee of China Computer Federation Task Force on Big Data in 2016.

Topic: Big Data Practice at the iFLYTEK


Characterized by Big Data and Artificial Intelligence, the new generation of Information Technology is changing every corners of our human society to provide fast growing information service that is highly precise and intelligent. As the leading enterprise of Artificial Intelligence and Internet technologies with 90 millions of users, we at the iFLYTEK are repeatedly explore, practice and thinking on how to apply the Artificial Intelligence to dig deeper for values from the sea of Big Data and closely integrate Big Data Analytics with Artificial Intelligence technologies.

Prof. Yun Li, Nanjing University of Posts and Telecommunications, China

Yun Li received the Ph.D. degree in Computer Science from Chongqing University, Chongqing, China. He is a professor in the School of Computer Science, Nanjing University of Posts and Telecommunications, China. Prior to that, he was the postdoctoral fellow in Department of Computer Science and Engineering, Shanghai Jiao Tong University, China. He is the Principal Investigator (PI) of several national scientific research projects and provincial projects in recent years. His research mainly focuses on machine learning, data mining and parallel computing, especially in feature selection for big data, ensemble learning, security in AI and their applications in Parkinson severity analysis, network traffic classification, etc. He has published more than 50 refereed research papers in AAAI, ECML, ICASSP, PAKDD, ICPR, ICONIP, IEEE Trans. Neural Networks and Learning Systems, Pattern Recognition, Knowledge and Information Systems, Neurocomputing and IET Signal Processing, etc. He is the member of ACM and IEEE.

Prof. Li has served international conferences, such as program chair for ISKE2017, publication chair for ICONIP 2011, TPC member for AAAI 2017 and KDD2017. Prof. Li has also served international journals as guest editor for some special issues, such as IJCIS.

Topic:Adversarial Feature Selection in Secure Machine Learning


Advances in machine learning in recent years have enabled a dizzying array of applications such as data analytics, autonomous systems, and security diagnostics. Most existing learning schemes assume that the environment they settle in is benign. However this is not always true in the real adversarial decision-making situations where the future data sets and the training data set are no longer from the same distribution, because of the transformations employed by the adversaries. So it is urgent to consider the security of machine learning system. In this speech, the secure machine learning will be briefly introduced. Moreover, as feature selection has been widely used in machine learning for security applications to improve generalization and computational efficiency, then the framework of adversarial feature selection is also analyzed in detailed, and some typical adversarial feature selection algorithms are presented, especially for privacy-preserving feature selection based on local learning.

Jinghua Zhou, NFV Architect, Huawei Technology, China

Jinghua Zhou received his master degree from Wuhan University in 2000 in computer science and then joined Huawei company. In Huawei at first he was responsible for the design and development of the signaling system of voice solution, then from 2005 he was responsible for the architecture, design and development of the mobile Softswitch solution, interworking solution, and VoLTE solution in core network product line. These products and solutions had been proved to be very competitive and achieved great commercial success in the market. He has a lot of experiences in product architecture design and system design, as well as commercial deployment. From 2015 he has focused on the research of NFV in core network domain and now he is NFV architect of the core network product line.

Topic:Towards CloudNative, Embrace the future of all cloud


NFV is approaching maturity , it has been widely practiced and commercialized by global operators. Standards, ecology, deployment and operation and maintenance, and many other challenges are being gradually overcome. NFV's original intention is to reduce the TCO, but more and more operators want to introduce CloudNative technology and philosophy to achieve agile new business development for the future network . However, the implementation of CloudNative in the field of telecommunications is also facing many challenges. NFV practice needs to towards CloudNative, at the same time fully consider service scenarios, market demand, business model and other demands, and gradually build the agile and autonomous network, to enable quick launching of new business in enterprises and other new markets, thereby gradually achieve commercial success.

Anirban Bhattacharya,Tech Mahindra

Anirban Bhattacharya currently leads the Data & Analytics Consulting & Pre-sales initiatives for Asia-Pacific and India for Tech Mahindra’s Communications and Media & Entertainment verticals. With an experience spanning circa 15 years in core BI, Big Data & Analytics, Anirban has been through the diverse journeys of Classical DW & BI, Data Warehouse Appliances and Big Data Analytics. His experiences span across different geographies, various customers, diverse delivery models and a wide variety of technologies and platform in this space.

Having been associated with Tech Mahindra for around 14.5 years, he has played a wide variety of roles in this space including BI / Big Data Consulting, EDW Delivery & Design assurance, Hybrid BI platform implementation, Analytics Transformation Roadmap and BI / Analytics Architecture Review. His domain acumen lies primarily in Communications along with Banking & Financial services and Sales & Distribution.

Anirban has worked and interfaced avidly with customers across diverse geographies that include Europe, United Kingdom, Asia Pacific, Africa, India and the Middle-East and his technology skills span across the BI / Analytics value-chain including Databases and DW Appliances, Data Integration & ETL, Data Exploitation and Big Data. His current interests primarily include Machine Learning, Artificial Intelligence and Cognitive Computing.

Topic: Data and Analytics – Transforming into a Cognitive and Convergent space


  • Data explosion – the peril and the opportunity 
  • The radical business shifts 
  • Today’s Big Data Analytics Business asks 
  • Data Wrangling – accelerating Data-value realization
  • Moving towards a “Converged” BI landscape

The session would focus on salient aspects of today’s Data & Analytics space and its potential to enable business-value for global enterprises through insights and intelligence. The key points of the discussion would include the Data explosion of today and the associated opportunities, the observed business-shifts in today’s world and how that has triggered fundamental changes in the business-asks. It would also feature a section on Data Wrangling and how it helps accelerate the realization of Data-Value. The session would conclude with an outline of the BI & Analytics journey over the years to its current ‘converged’ state in.

Dr. Yang Yang, Shanghai Institute of Microsystem and Information Technology (SIMIT), Chinese Academy of Sciences

Dr. Yang Yang is currently a professor with Shanghai Institute of Microsystem and Information Technology (SIMIT), Chinese Academy of Sciences, serving as the Director of CAS Key Laboratory of Wireless Sensor Network and Communication, and the Director of Shanghai Research Center for Wireless Communications (WiCO). He is also a Distinguished Adjunct Professor with the School of Information Science and Technology, ShanghaiTech University. Prior to that, he has held faculty positions at The Chinese University of Hong Kong, Brunel University, and University College London (UCL).

Yang is a member of the Chief Technical Committee of the National Science and Technology Major Project “New Generation Mobile Wireless Broadband Communication Networks” (2008-2020), which is funded by the Ministry of Industry and Information Technology (MIIT) of China. In addition, he is on the Chief Technical Committee for the National 863 Hi-Tech R&D Program “5G System R&D Major Projects”, which is funded by the Ministry of Science and Technology (MOST) of China. Since January 2017, he has been serving the OpenFog Consortium as the Director for Greater China Region.

Yang’s current research interests include wireless sensor networks, Internet of Things, Fog computing, Open 5G, and advanced wireless testbeds. He has published more than 150 papers and filed over 80 technical patents in wireless communications.

Title: Fog Computing for 5G/IoT Development


Fog computing has recently attracted a lot of attentions from communication, computing and control communities. Different from traditional telecom manufacturers, Google, Intel and Facebook actively announced their disruptive approaches for 5G/IoT services based on generic hardware and customized software. In this talk, we will give an introduction of a fog-enabled 5G/IoT R&D platform, which applies SDN and NFV techniques to realize the key functions of a telecom operator according to the 3GPP standard on general CPU/GPU computing platform. It is very adaptive and flexible for supporting a variety of internet of things (IoT) applications in vertical industries. New technical challenges and potential applications of this open platform in delay-sensitive control areas will be fully discussed.


Big Data Summit Moderator: Chung-Min Chen, Ph.D. 陳仲民, Sr. Director, Data Science & Analytics Telcordia Technologies (d.b.a iconectiv)

Dr. Chen is a recognized expert in big data, analytics, and mobile networks. Throughout his career he has helped companies create technology and customer strategies to drive business growth in telecom, IOT (telematics, smart grid), national security, and financial domains, bringing in hundreds of millions of revenue and sales.

At iconectiv, he is the mastermind behind Ericsson’s first analytic product that aims to understand and predict mobile user experiences, with deployments to multiple major operators. He also led to build the business analytics portal for CTIA’s Short Code registry serving thousands of businesses in mobile advertising. Prior to that he was with Applied Research of Telcordia, where he has served as Chief Scientist and Director. He has initiated and worked on data analytics research and consulting projects funded by US government agencies. During 2005-2011 he spearheaded and oversaw Telcordia’s Applied Research Center in Taiwan, promoting collaboration between local and US industries.

Dr. Chen’s research interest spans across areas in database systems, machine learning, parallel & distributed computing, and mobile ad hoc network. He has published over 50 research papers in JACM, IEEE TKDE, ACM TOSN, IEEE TMC, IEEE/ACM TON, IEEE JSAC, INFOCOM, ACM SIGMOD, KDD, EDBT, ICDE, and ICDCS. He received the Newcomer Paper Award of ACM PODS 2002.

Dr. Chen 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 holds a PhD in Computer Science from University of Maryland at College Park and B.S. in Computer Science from National Taiwan University.

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”.



From Green to Soft, the revolutionary path towards future 5G has been charted out. Since its proposal in 2012, SDN/NFV has been viewed as an essential element towards this end. In this talk we will share CMCC’s endeavor on the path towards SOFT 5G. In particular, it will be presented how the philosophy of SDN/NFV has been adopted and implemented in our networks, from SBA-based core network to CU-DU-based radio access networks. In fact, C-RAN, which has been proposed by CMCC in 2009, has conceived the NFV idea since its birth. The achievements at the earlier stage will be introduced, including the deployment of centralization, trials on CoMP, some pioneering work on RAN virtualization. Then, the latest progress on RAN cloudification/virtualization will be detailed from various perspectives such as hypervisor, HW platform and MANO systems. Finally other key 5G components such as big data analytics, mobile edge computing etc. will also be touched.

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.

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

Anup Kumar (ak@louisville.edu) 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: Access Control Security – Why and How Access Control Policies are Tested and Verified?


SDN/NFV, cloud, and many other online systems relies Access control (AC) to protect the secret financial, enterprise, organization, healthcare, defense, and various IT resources/services. In order to protect the classified resources, the security specialist needs to compose a set of AC policies (e.g., in XACML policies) to prevent unintended access. However, the current AC policies are composed and deployed into an AC system without comprehensive security tests and verifications. This results in many AC flaws (e.g., information or service leaks) in the systems and these AC flaws are normally hidden from us until observable damages (e.g., secret data leakage) are caused. This paves the way for cybersecurity hackers or insiders to steal the IT assets by exploring the access control weakness.

Recently NIST has released several specifications in order to help government and enterprises to enhance the nation's critical access control security, such as NIST SP 800-192: Verification and Test Methods for Access Control Policies/Models. As stated by NIST, many of the access control incidents (e.g., data breaches, insiders) are caused by misconfigured access control policies. These specifications describe the AC security requirements to avoid these incidents and recommend to thoroughly and automatically check the syntactic and semantic faults of AC policies before deploying them for operation.

In this talk, we will explore the state-of-art access control policy testing and verification approaches. Examples are (i) Access Control Polity Tool and (ii) Security Policy Tool, which respectively delivers a solution for testing, analyzing, inspecting, and correcting the access control flaws. The talk will demonstrate several typical access control flaws as security issues in the online systems. Research are conducted in order to instill the confidence that classified assets in the SDN/VFV, Big Data, Cloud, IoT, Cybersecurity, and other access control systems are protected at the level your organization intends them to be. Primary information can be found at http://csrc.nist.gov/groups/SNS/acpt/acpt-beta.html and https://securitypolicytool.com/ .

Dr. Bin Xie, (谢彬), CEO of InfoBeyond Technology LLC, USA

Dr. Xie 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 founder & CEO of the InfoBeyond. InfoBeyond offers (i) NXdrive for data security against data breach, and (ii) Security Policy Tool for access control cyber security. The business at InfoBeyond grows 35% per year averagely.

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. He is/was the Principal Investigator of 20+ R&D projects that are supported by Department of Defense (Army, Navy, Air Force, Missile Defense), Department of Energy, National Institute of Standards and Technology, Department of Transportation, Department of Commerce, and Kentucky State. Dr. Xie 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 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.

More read: News are posted on: 

Click on Sharing icons on each news page to spread the news to LinkedIn, Google plus, Facebook, etc. 

SDN/NFV Summit Moderator: David Lu 陆惠晨, Vice President, D2 Platform and Systems Development, Technology Development, AT&T Services, Inc. USA

David, Vice President – Common Platform & Technology Services, and Business Solution Development, is responsible for integrated and common software platforms, tools, technology components, and services to enable the AT&T network and systems virtualization and software ecosystem transformation including API, common data frameworks, network management, dispatching, and policy control & orchestration platforms. He leads an organization with more than 5,000 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 36 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 has been very active in community organizations and activities including AT&T APCA, DFW-CIE, and DFW Asian American Chamber of Commerce. He was recognized by AT&T APCA with the 2015 Corporate Leadership Award.

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.

CyberC 2017 Summits Co-Organizer: Tzyh-Jong (TJ) Wang, PhD, AT&T, USA

Dr. TJ Wang is currently with AT&T since 2008. He is a system engineer for mobility operations support systems focusing on mobility network end-to-end performance and reliability. Prior to joining AT&T, TJ was with DEC, Bellcore, Lucent Technologies and UTStarcom between 1987 and 2008.

He received his Ph.D. in Industrial Engineering from the University of Wisconsin-Madison in 1987; and B.S. in Industrial Engineering from Tsing Hua University, Taiwan, in 1978.

CyberC 2017 Summits Co-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 designs the Enhanced Control Orchestration Management Platform (ECOMP).  Prior to joining AT&T, Chi-Ming was with Bell Communications Research (Bellcore) from 1985 to 1995 and 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 Life Senior Member of IEEE and Senior Member of 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. He has chaired several GLOBECOM and ICC Industry Forums and is serving as the GIMS Advisor for ICC 2019, Shanghai, China.

Chi-Ming is a Steering Committee member of the IEEE SDN Initiative and IEEE Big Data Initiative. He also co-chairs the Roadmap Working Group of IEEE 5G Initiative. In addition to CyberC, he also organizes the annual IEEE Emerging Technology Reliability Roundtable (ETR-RT) since 2014.