Emerging Technology Summit and CyberC Keynotes

Dr. Bin Xie

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 and the Company is featured as one of 50 fast growth IT small businesses in 2017 by The Silicon Review. InfoBeyond offers (i) NXdrive for data security against data breach, and (ii) Security Policy Tool for access control cybersecurity and the product is honored as a Successful SBIR Story by NIST.

Dr. Xie has awarded $7.5 million research funding from federal governments. He is/was the PI of 20+ R&D projects that are supported by DoD (Army, Navy, Air Force, Missile Defense), DoE, NIST, DoT, DoC, and Kentucky State. Dr. Xie has published 70+ papers in the IEEE conferences and journals. His research interests are focused on cyber security, wireless communication, big data streaming, and user performance. Dr. Xie is the author of books titled Handbook/Encyclopedia of Ad Hoc and Ubiquitous Computing (World Scientific: ISBN-10: 981283348X, World Scientific Publisher, Best-selling in 2012 & 2013), 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), 2012-2017. 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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Topic: Enabling Low-Latency High-reliability Wireless for Industry Communication Systems

Abstract: Industrial Control Systems (ICSs, e.g., automation, motion control, discrete manufacturing, robotics, refineries) usually needs to continuously monitor the status of the facilities in the plant and perform timely response accordingly. Low latency and high-reliability wired communication networks for ICSs have been successfully deployed for many years using SERCOSIII and other fieldbus standards. Recently, there are increasing interests in moving wireless technologies into manufacturing applications to replace the current wired communication networks to lower the installation and maintenance costs. However, as identified by NIST, the transmission error and delay caused by unreliable wireless connections have been the main concern that prevents the wide usage of wireless networks in manufacturing applications. In this talk, we will discuss the wireless technology to simultaneously address the stringent requirements on latency (close-loop sense-to-actuation time < 1ms) and reliability (transaction error < 10^-9), which are not achieved in the current 5G and other wireless technologies for ICS applications.

Dr. Nikhil Malhotra

Creator/Head of Maker’s Lab, TechMahindra, India

Nikhil Malhotra is the creator/head of Maker’s Lab, a unique Thin-q-bator space within TechMahindra with over 17+ years of experience in a variety of technology domains. Nikhil has been working with TechMahindra for the past 11 years and is now leading the growth of AI and machine learning within the organization. In his present avatar as the creator/head of TechMahindra’s R&D space he focuses on artificial intelligence, quantum computing ,robotics and mixed reality. Nikhil’s area of personal research has been natural language processing , enabling machines to talk the way humans do . Nikhil has also designed an indigenous robot in his lab, as a personal assistant.

He lives by a dream of creating smart machines that would wed human emotions with artificial intelligence to make lives better. His perseverance of creating an IP based incubator paid off in many forms; one being the idea of replicating Maker’s Lab , his brain child across the world

He is also a leading speaker on practical use of AI and the future that AI beckons

He holds a masters degree in computing with specialization in distributed computing from Royal Melbourne Institute of Technology, Melbourne. Nikhil currently resides in Pune with his wife Shalini and son Angad.

Dr. Pei Ke

Huawei Technologies 2012-Labs, Corporate Reliability Dept.

Pei Ke received his Ph.D. degree in communication and information system from XiDian University in 2002. He is currently the chief AI technical expert/data scientist of Huawei corporate reliability department, who lead an AI expert team to build fault prediction and prevention capability of ICT products/cloud/services. He is responsible for idea initiation, prototype design and verification of Intelligent Fault prediction and localization capability, define intelligent architecture and solutions for next generation communication systems and public cloud. His research interests includes cloud computing, machine learning, deep learning, time series data processing, PHM and APM etc.

Prior to joining Huawei, Dr. Peike was Lucent Bell-labs distributed member of technical staff (DMTS) and was accepted as alcatel-lucent technical academy member (ALTA) also, he has over 10 years new product development and software architecture solid experience on cloud/NFV solution, distributed DB, Intelligent Network Applications, Data Mining/Analysis.

Topic: The explorations and challenges for AI based Fault Prediction and Prevention on ICT system

Abstract: Fault prediction and prevention are important method to improve the reliability of next generation communication systems. Based on the experience of real cases and lessons learned in using AI technology to predict and prevent failures, this talk discusses related challenges and strategies/suggestions in three perspectives: architecture, algorithms, and data.

Yunfei Zhang

National expert of "ten thousand talents program" and founding director of Tencent future network Lab.

Yunfei Zhang is national "ten thousand talents program"expert and the founding director of Tencent future network Lab. He is interested in 5G, cloud computing, distributed systems, streaming, IoT and mobile handset. He has rich experience in operators, mobile phone vendor and Internet service provider. He is experienced in Internet and mobile standards, who created the peer to peer streaming WG in IETF and authored more than 10 RFCs, ITU-T specificatons and led the first 3GPP standard team in Chinese terminal vendors. He has published more than 20 international journal and conference papers and more than 30 licensed patents. He won the national patent prize and national standard prize.

Topic: 5G applications driven network evolution - from Internet Service provider's perspective

Abstract: 3GPP has basically finished the R15 standards and we are beginning the 5G applications trials and commercialization. Many new applications, e.g., cloud gaming, auto driving and industrial internet have brought new requirements to the 5G network and droven the evolution of network architecture. In this talk, I will dicuss how these new applications will affect the network and its standards as well as how the applications and network interact with each other for development and evolution.

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: Shaping of Digital Planet

Abstract: There isn’t a day go by when you do not hear about how digital transformation is gripping all parts of our society and our economy. Traditional business processes are threatened continuously, and every business now needs to assess what it means to them. Exploding sensor networks, ubiquitous connectivity, and ever-expanding bandwidth are creating more data than we as humans know how to handle and use effectively. That is what is giving rise to new ways of analyzing data and using data and visualizing it. So much so that we are now able to take humans out of the equation to impact a lot of this that impact us. Artificial Intelligence is becoming a key part of our day to day life. Reality is being morphed into Augmented or Virtual reality and sometimes the only good way to visualize our digital world. In this keynote, we are going to look at trends that are shaping how we are going to live and work in the future and bringing us a step closer to the idea of Digital Planet.

Dr. Ling Guan

Ryerson Multimedia Research Laboratory,Ryerson University, Toronto Canada

Ling Guan received the Ph.D. degree in Electrical Engineering from The University of British Columbia, Vancouver, Canada, in 1989. From 1989 to 1992, he was a Research Engineer of Array Systems Computing Inc., Toronto, ON, Canada, in machine vision and signal processing. From 1992 to 2001, he was a faculty member at University of Sydney, Sydney, Australia. In 2001, he joined the Ryerson University, Toronto, ON, Canada, where he is currently a Professor and a Tier I Canada Research Chair in the Department of Electrical and Computer Engineering. He is an Honorary Guest Professor of the School of Information Engineering, Zhengzhou University, Zhengzhou, China. He also held visiting positions at British Telecom (1994), Tokyo Institute of Technology (1999), Princeton University (2000), National ICT Australia (2007), The Hong Kong Polytechnic University (2008-2009), and Microsoft Research Asia (2002, 2009, 2017). He has published extensively in multimedia processing and communications, human-centered computing, machine learning, adaptive image and signal processing, and multimedia computing in the immersive environment.

Dr. Guan is a Fellow of the IEEE and a Fellow of the Canadian Academy of Engineering. He is an IEEE Circuits and System Society Distinguished Lecturer, an recipient of the 2014 IEEE Canada C.C. Gotlieb Computer Medal and the 2005 IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS Best Paper Award.

Topic: Knowledge Discovery: Can We Do Better Than Deep Neural Networks?

Abstract: Knowledge discovery plays a key role in the success of machine learning for visual analysis and recognition. Knowledge discovery includes three major steps: 1) key-point detection in the visual scene; 2) feature (descriptor) generation at the identified key-points; 3) feature coding which transforms the features into a more effective (or optimal) representation. We recently conceived an idea for the design of an information discovery framework which consists of three parts:

Part I. SCK - A sparse coding key-point detector
Part II: Discovery of features associated with SCK
Part III: Statistical machine learning in feature coding

The talk will present the current progress on Part I, analytically and experimentally demonstrate the effectiveness and robustness of SCK, including comparisons with classical key-point detectors and deep neural network methods.

Dr. Shui Yu

University of Technology Sydney, Australia

Shui Yu is currently a full Professor of School of Software, University of Technology Sydney, Australia. Dr Yu’s research interest includes Security and Privacy, Networking, Big Data, and Mathematical Modelling. He has published two monographs and edited two books, more than 200 technical papers, including top journals and top conferences, such as IEEE TPDS, TC, TIFS, TMC, TKDE, TETC, ToN, and INFOCOM. Dr. Yu initiated the research field of networking for big data in 2013. His h-index is 32.

Dr. Yu actively serves his research communities in various roles. He is currently serving the editorial boards of IEEE Communications Surveys and Tutorials, IEEE Communications Magazine, IEEE Internet of Things Journal, IEEE Communications Letters, IEEE Access, and IEEE Transactions on Computational Social Systems. He has served more than 70 international conferences as a member of organizing committee, such as publication chair for IEEE Globecom 2015, IEEE INFOCOM 2016 and 2017, TPC chair for IEEE BigDataService 2015, and general chair for ACSW 2017. He is a Senior Member of IEEE, a member of AAAS and ACM, the Vice Chair of Technical Committee on Big Data of IEEE Communication Society, and a Distinguished Lecturer of IEEE Communication Society.

Topic: Big Data Privacy: A Machine Learning Perspective

Abstract: Big data is a revolution for our society. However, it also introduces a significant threat to data privacy. In this talk, we firstly review the current work in privacy protection under the framework of big data. Then we discuss the challenges in the domain from different angles, especially the machine learning aspects in field. We humbly hope this talk will shed light for forthcoming researchers to further explore the uncharted part of this promising land.

Dr. Chih-Lin I

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: Bringing AI to the RAN

Dr. Ning Wang

School of Information Engineering, Zhengzhou University, China

Ning Wang received the B.E. degree in Communication Engineering from Tianjin University, China, the M.A.Sc. degree in Electrical Engineering from the University of British Columbia, Canada, and the Ph.D. degree in Electrical Engineering from the University of Victoria, Canada, in 2004, 2010, and 2013, respectively. From 2004 to 2008, he was with the China Information Technology Design and Consulting Institute as a mobile communication system engineer, specializing in network planning of large-scale commercial mobile communication networks, voice and data traffic analysis, and radio network optimization. He was a post-doctoral research fellow with the Department of Electrical and Computer Engineering, the University of British Columbia, from 2013 to 2015. Since 2015, he has been with the School of Information Engineering, Zhengzhou University, Zhengzhou, China, where he is currently an Associate Professor. He also holds adjunct appointment with the Department of Electrical and Computer Engineering, McMaster University, Hamilton, Canada. His research interests include resource allocation and security designs of future cellular networks, channel modeling for wireless communications, statistical signal processing, and cooperative wireless communications.

Topic: Towards the Next Stage Evolution of Massive MIMO for 5G and Beyond: A Cost-Effective

Abstract: The massive MIMO has been recognized as a key disruptive physical layer technology and representative feature for the air interface of the fifth-generation wireless cellular communications (5G). However, a legacy implementation of MU-MIMO architecture for the massive MIMO would result in a tremendous increase of deployment cost. This is particularly true when considering the fact that fewer advances have been made in the RF community so that reduction in the per-RF-chain cost is expected to be marginal, while the number of RF chains is going to increase by at least one order of magnitude. Therefore, in order to maintain the vitality and key role of the massive MIMO technology in the commercial development of 5G cellular technologies and beyond, the cost issue must be adequately addressed. Two major streams of technological solutions/designs will be considered in the next stage evolution of massive MIMO, 1) improving the implementation efficiency from an overall system perspective, and 2) reducing the implementation cost of the RF part.

This talk will give a brief introduction of the fundamental ideas for the above mentioned two technological steams. Current progress in related studies in the research community and preliminary results of on-going research work will be presented, with focuses on innovative system architectures, resource management, and some implications for physical layer security.

David H. Lu - Summit Moderator

Vice President, SDN Platform & Systems Development, AT&T Labs

David Lu , Vice President, SDN Platform & Systems Development, is currently responsible for development and engineering of AT&T next generation ECOMP platform and Open ECOMP (ONAP) to enable the AT&T network virtualization (SDN) and target OSS/BSS transformation including API, micro-services, policy control & orchestration, hyper-automation, and advanced data analytics. He leads an organization with more than 3,000 people across the globe.

David is a well-respected leader in large scale and real time software architecture and engineering, network performance and traffic management, work flow and policy controlled automation, large databases and big data implementation/mining/analytics, machine learning, artificial intelligence, software reliability and quality, and network operations process engineering. Examples of his achievements include large scale platforms he has led and engineered that process annually: 347 Trillion network performance events and 168 Billion alarms with 99.99%+ automation; 60 Million dispatches with 14.4 Billion automated manual steps; and over 90 Billion API transactions.

Since joining AT&T Bell Labs in 1987, he has served in various leadership positions at AT&T. He has led multiple extreme automation initiatives in AT&T that resulted in Multi-Billion Dollars savings in the past 15 years and won AT&T CIO 100 Awards in 2010. He holds 43 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 and 2017 CIE AAEOY (Asian America Engineer of Year) Award . He has also 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 accepted to the world-renowned Shanghai Conservatory of Music and came to the U.S. to complete his college education. He has an undergraduate degree in music, majoring in cello performance and graduate degree in Computer Science.

Topic: 5G Innovation and Challenges

Abstract: The speed of technology advancement and disruptive technology impact to global economy in the past decade has been truly impressive. Mobile Broadband and Mobile Apps have changed the world we live in today in a very dramatic way. With 4G/LTE deployment just behind us not long ago, 5G is rising as one of the leading disruptive technologies for the next decade. Why 5G is so hot all of a sudden? Will 5G deliver most of expected changes in speed, coverage, and latency? This talk will provide an industry perspective in its key use cases, the technology innovation, investment strategy, and operation challenges.

Dr. Mugen Peng

Beijing University of Posts and Telecommunications (BUPT), Beijing, China

Mugen Peng received the Ph.D. degree in communication and information systems from the Beijing University of Posts and Telecommunications (BUPT), Beijing, China, in 2005. Afterward, he joined BUPT, where he has been a Full Professor with the School of Information and Communication Engineering since 2012. During 2014 he was also an academic visiting fellow at Princeton University, USA. He leads a Research Group focusing on wireless transmission and networking technologies in BUPT. He has authored and co-authored over 100 refereed IEEE journal papers and over 200 conference proceeding papers. His main research areas include wireless communication theory, radio signal processing, cooperative communication, self-organization networking, heterogeneous networking, cloud communication, and Internet of Things.

Dr. Peng was a recipient of the 2018 Heinrich Hertz Prize Paper Award, the 2014 IEEE ComSoc AP Outstanding Young Researcher Award, and the Best Paper Award in the JCN 2016, IEEE WCNC 2015, IEEE GameNets 2014, IEEE CIT 2014, ICCTA 2011, IC-BNMT 2010, and IET CCWMC 2009. He is currently or has been on the Editorial/Associate Editorial Board of the IEEE Communications Magazine, IEEE ACCESS, IEEE Internet of Things Journal, IET Communications, and China Communications. He received the First Grade Award of Technological Invention Award three times in China.

Topic: Fog Radio Access Networks: Architecture, Techniques, and Application

Abstract: The fifth generation (5G) wireless communication systems are anticipated to provide high spectral and energy efficiency, as well as low latency and massive connections. To achieve these goals, a fog radio access network (F-RAN) architecture has been presented as the advanced wireless access network paradigm, in which edge cloud computing is used to fulfill the distributed cooperative processing and delivering the local content for decreasing the latency and burdens on the fronthaul/backhaul. The state-of-the-art research achievements in aspects of system architecture and key technologies for F-RANs are briefly introduced in this talk. In particular, the system architecture evolution from C-RANs and H-CRANs to F-RANs will be discussed, and the key technologies including the edge cache driven performance analysis and cooperative radio resource allocation will be presented. Some challenges and open issues will be discussed.


Tzyh-Jong (TJ) Wang


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.

Dr. Chonggang Wang

Interdigital Inc.

Chonggang Wang received his Ph.D. degree from Beijing University of Posts and Telecommunications (BUPT) in 2002. He is currently a Member Technical Staff with InterDigital Communications. His current research interests include decentralized IoT, semantic computing and services for IoT, fog computing for IoT, IoT data analytics, and advanced IoT services. He also has abundant IoT standardization experience including oneM2M, IETF, IEEE, and ETSI TC M2M. He was the co-founder (2011-2013) and the founding Editor-in-Chief (EiC) of IEEE Internet of Things Journal (2014-2016). He is currently the Associate EiC of IEEE Transactions on Big Data and the EiC of IEEE Blockchain NewsLetter. He is an IEEE Fellow for his contributions to IoT enabling technologies (2017).

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.

Chi-Ming Chen - Advisor

Ph.D. , 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) and Open Network Automation Platform (ONAP). Prior to joining AT&T, Chi-Ming was with the Quality Assurance Center of 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 the ACM. He is an Advisory Board Member of IEEE Communications Society (ComSoc) Technical Committee on Communications Quality & Reliability (CQR). He was a member of the IEEE GLOBECOM & ICC Management & Strategy (GIMS) Standing Committee and served as the GLOBECOM and ICC Site Selection Chair from 2012 to 2017. He has chaired the Industry Forums of several GLOBECOMs and ICCs and is serving as the GIMS Advisor for ICC 2019, Shanghai, China.

From 2015 to 2017, Chi-Ming was a Steering Committee member of the IEEE SDN Initiative and IEEE Big Data Initiative. Currently, he is co-chairing the 5G Roadmap Working Group of IEEE 5G Initiative. He has been a key Organizing Committee member of CyberC conference since it’s started in 2009. In addition, he also organizes the annual IEEE Emerging Technology Reliability Roundtable (ETR-RT) since 2014.

PPT of Keynote Speaker 2017

Networking for Big Data

Data & Analytics

Wireless Big Data Analysis:

Big Data Practice

Big Data & Artificial Intelligence

Towards CloudNative,

Embrace the future of all cloud


IEEE SDN Initiative: Status Report

Bad Data Injection in Smart Grid:

Attack and Defense Mechanisms

Fog Computing

for 5G/IoT Development