Dr. Pei Ke
Huawei Technologies 2012-Labs, Corporate Reliability Dept.
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.
Lead Architect, Microsoft Corporation, USA
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 University, Toronto, ON, Canada
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 Learning in Feature Generation and Representation?
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
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”.
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.
Dr. Ning Wang
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.
Dr. Chonggang Wang
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).
PhD, Professor, University of Louisville, Kentucky, USA
(email@example.com) 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.
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
and the Company is featured as one of 50 fast growth IT small businesses in 2017 by The Silicon Review. InfoBeyond offers (i)
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.
Security Policy Tool News
David Lu - Summit Moderator
Vice President, D2 Platform & Systems Development, AT&T Labs
, Vice President, D2 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 2,000 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.
Chi-Ming Chen - Advisor
Ph.D. , AT&T Labs, USA
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.