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.
Abstract: 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.
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.
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.
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 www.deakin.edu.au/~syu/
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.
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.
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 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.
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.
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.
Abstract: 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.
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.
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 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.
Dr. David Belanger is currently a Senior Research Fellow at Stevens Institute of Technology. In this role he continues his work in Big Data Technology, Applications, and Governance. He also teaches and helps lead in the Business Intelligence & Analysis MasterDegreeprogram and the Center for Big Data Innovation. In addition, he is involved in consulting related to Big Data in areas such as Health Care, security, and Networking. He was Chief Scientist of AT&T Labs, and Vice President: Information, Software, & Systems Research at AT&T Labs, and creator of the AT&T InfoLab, an early participant in “Big Data” research and practice.
Dave joined Bell Laboratories in 1979. He has led research in software systems and engineering, information mining, information visualization, and development in very large scale data systems. He built the Software Engineering Research Department which provided software tools and techniques used across AT&T Bell Labs, and via open source, across the world.
Prior to AT&T, Dave was associate professor of Mathematics and Computer Science at University of South Alabama, and co-founder of Gulf Coast Data Systems (a computing services company). He received his B. S. from Union College (NY) in Mathematics, and an M. S. & Ph.D., in Mathematics, from Case Western Reserve University.
In 1998, Dave was awarded the AT&T Science and Technology Medal for contributions in very large scale information mining technology. In 2006, he was named an AT&T Fellow for “lifetime contributions in software, software tools, and information mining”.
Dr. Belanger received the 2009 IEEE Communications Society Industrial Innovator Award.
Dan Holle is the CTO of Data Platforms at Greenplum, a division of EMC. Recognized as a pioneer in parallel processing, databases and analytics, Mr. Holle is co-creator of the SQL language, and holds patents in data mining, semantic search, indexing and data profiling. He has extensive experience as a technology industry leader, was one of the founding engineers at Teradata, and has launched several start-up companies related to database management products and services in the data warehousing and big data analytics field.
Dr. Jerry Xie is currently horned as a Specialist of the National 1000 Plan by Chinese Government. He joined China Telecommunications Corporation in September 2011.He led and founded China Telecom Cloud Computing Company and served as the founding CEO. He is currently Scientist-in-Chief of China Telecommunications Corporation.
Prior to China Telecomm, he worked in the United States and held senior engineering and management positions with Intel, Sony Electronics, and Sun Microsystems. When served as General Manager of IT with Sony Electronics, he was instrumental to build RosettaNet based partner interface processes and the agile supply chain management systems to support Sony’s new VAIO business. When served as Senior Staff Engineering Manager at Intel, he led team delivered the first operational InfiniBand cluster; he was one of the initiators to establish the standard work groups at DMTF in Web service management WS-MAN and WS-CIM, and the contributor to the standard specifications. These works were implemented in Intel’s AMT products and led to the elastic cloud computing via Web service interfaces. He holds a Ph.D. from Virginia Tech.
Director of the Internet Center, China Academy of Telecommunication Research of MIIT, Member of the Ministry of Science and Technology Committee, Secretary-General of China Cloud Computing Promotion and Policy Forum, Vice Chairman of IP & Multimedia Communication Working Committee of China Communications Standards Association (CCSA), Deputy Secretary General of China Next Generation Internet (CNGI) Expert Committee, Chairman of TGG China Committee.
Dr. He has long been engaged in the research of Internet-related technologies, standards, regulatory, policy and development strategy. Graduated from the Chinese Academy of Sciences in 1999 and obtained aPh.D. of Computer Application Technology.
Mark joined RainStor in 2004, and is a founding developer. He was formerly a senior scientist and team lead at QinetiQ, where he researched distributed simulation techniques, and developed physics-based models of human behaviour to support military training and operations. He also led government and industry projects in the areas of grid and pervasive computing.
Before joining QinetiQ, Mark worked in academia, where he combined cluster computing methods with quantum mechanics to predict the properties of semiconductor microstructures. Mark holds a Masters in Computing and a PhD in Physics from Newcastle University.
Dr. Hua-Ping (Kevin) Zhang is an Associate Professor of Beijing Institute of Technology(BIT), as well as the Director of Department of Web Search, Mining and Security. In addition, Dr. Zhang is an advanced member of China Computer Federation, and Guest Professor and Lecturer at Capital Normal University and Liaoning Normal University in China.
Dr. Zhang is also a reviewer of several publications and journals, such as Computer Research and Development, and China Online Scientific Paper. In terms of research, his primary focuses have been Micro-blog Computing, Natural Language Processing, Information Retrieval and Recurity, and Big Data Search and Mining. Overall, Dr. Zhang and his team have been granted over 10 research projects by various government associations, such as the National Science Foundation, National High-Tech Research and Development Program of China, and the National Basic Research Program of China.
Finally, Dr. Zhang has published 3 books and 20+ papers throughout the course of his career, as well as developed Chinese lexical analysis system ICTCLAS, which ranked 1st in the International Chinese Word Segmentation Bakeoff. Consequently, Dr. Zhang was awarded the first prize of Qian Wei-Chang Chinese Information Science and Technology Award, the President Scholarship of Chinese Academy of Sciences (CAS), and the Special President Award of Institute of Computing Technology (ICT), CAS.
Dr. Jiebing Wang joined the Company in April 2009 after the completion of Exar’s acquisition of Hifn and is Vice President, Data Management. Dr. Wang joined Hifn in March 2004 as President of Hi fn’s China Operations based in Hangzhou and was promoted to Vice President of Central Engineering, General Manager of China Development Center in March 2007. Dr. Wang earned his Ph.D. in physics from the University of Nevada, and a master’s degree in electrical engineering from Stanford University. Dr. Wang has held technical positions with Nishan Systems, Philips and Toshiba. Before joining Hifn, Dr. Wang was a founder and CTO of Hangzhou C-Sky Microsystems, where he led the development of a high performance 32-bit embedded CPU. Dr. Wang has extensive technical experiences in the area of networking, security and embedded systems.
Chunming Hu is an associate professor at School of Computer Science, Beihang University. He got his Ph.D degree on 2006 at Beihang University. Now he is the vice dean of School of Computer Science, Beihang University. He is elected as the Vice Chair of the Academic Committee of YOCSEF, and member of System Software Technical Committee of CCF. He is also serving for W3C China to promote the web standards in China. His research interests are distributed systems, software middleware, system virtualization and resource scheduling in cloud systems.
Dr. Wei Fan is the associate director of Huawei Noah's Ark Lab. Prior to joining Huawei, he received his PhD in Computer Science from Columbia University in 2001. His main research interests and experiences are in various areas of data mining and database systems, such as, stream computing, high performance computing, extremely skewed distribution, cost-sensitive learning, risk analysis, ensemble methods, easy-to-use nonparametric methods, graph mining, predictive feature discovery, feature selection, sample selection bias, transfer learning, time series analysis, bioinformatics, social network analysis, novel applications and commercial data mining systems. His co-authored paper received ICDM'2006 Best Application Paper Award, he led the team that used his Random Decision Tree method to win 2008 ICDM Data Mining Cup Championship. He received 2010 IBM Outstanding Technical Achievement Award for his contribution to IBM Infosphere Streams. He is the associate editor of ACM Transaction on Knowledge Discovery and Data Mining (TKDD). Since he joined Huawei in August 2012, he has led his colleagues to develop Huawei StreamSMART – a streaming platform for online and real-time processing, query and mining of very fast streaming data,. In addition, he also led his colleagues to develop a real-time processing and analysis platform of Mobile Broad Band (MBB) data.
George Kong is the Director of Consulting and Professional Services in the Teradata’s Aster Data Center of Innovation. George brings over 9 years of professional experience in the software industry, where he has successfully transformed several groups into high-achieving teams. George manages a team of consultants and analytic scientists who enable customers gain valuable insight from their data
Prior to Teradata’s purchase, George ran professional services, customer service, and customer training in Aster Data. Prior to taking on this role, George has led the deployment and value realization of some of the largest analytic platforms in the world, including multiple 100+ terabyte systems at Myspace, LinkedIn, and Barnes & Noble as an Aster Data lead consultant. George was also a key member of the Aster engineering team where he designed and implemented some of the features of the Aster nCluster product.
Prior to joining Aster Data, George was the founder and CEO of Proximoso, a location-based social networking startup. Prior to Proximoso, George was a Senior Engineer working in NetApp’s storage group. George holds a M.S. in Computer Science from Brown University and an MBA from the Haas School of Business at U.C. Berkeley.
Adel S. Elmaghraby is Professor and Chair of the Computer Engineering and Computer Science Department at the University of Louisville. He has also held appointments at the Software Engineering Institute -Carnegie-Mellon University, and the University of Wisconsin-Madison. He advised over 60 master's graduates and 20 doctoral graduates. His research contributions and consulting spans the areas of Intelligent Multimedia Systems, Neural Networks, PDCS, Visualization, and Simulation. His Research applications include medical Imaging, Bioinformatics, and Computer-Aided Diagnostics. He is a well-published author (over 200 publications), a public speaker, member of editorial boards, and technical reviewer. He has been recognized for his achievements by several professional organizations including a Golden Core Membership Award by the IEEE member of the Engineering in Medicine and Biology Society, the Computer Society, and Computational Intelligence Society. Dr. Elmaghraby continued collaborations, mentoring, and scientific contributions have resulted in published articles in many prestigious journals such as IEEE-TMI, Medical Physics, Journal of Neuroscience Methods, and Protein Engineering. He is also an active member of the IEEE-CS Technical Activities Board and chair of the emerging technologies initiatives and is a proud Honorary Kentucky Colonel.
Nikolaos Vasiloglou holds a Ph.D. from the Department of Electrical and Computer Engineering at Georgia Institute of Technology. His thesis is focused on scalable machine learning over massive datasets, including dimensionality reduction within manifold methods of isometry and convexity. After graduating from Georgia Tech, he founded the companies Analytics1305 and Ismion. He then architected and developed the PaperBoat machine learning library, which has been successfully integrated and used in the LogicBlox and HPCC Systems platforms. Nikolaos has applied his skills and knowledge as a machine learning consultant to Predictix, Revolution Analytics, Damballa, Comrise Technology and LexisNexis.
Additional accomplishments include a pending patent on choice set modeling for retail forecasting problems, and developing applications of KD-trees in statistical analysis(2-point correlation), and kernel density estimation. His work with multidimensional indexing structures, including caching and parallelization, is focused on large-scale kernel algorithms such as Kernel PCA Support Vector Machines and Neural Networks.
Xuewen (Sean) Gong has been working for Huawei more than 17 years, and he is working as director of Huawei reliability technology committee, leading research and development on RAS (Reliability, Availability, Serviceability), especially on Fault tolerant, Failure Prediction and Self-Healing for emerging ICT technologies and solutions, before this position he was the head of architecture and DFX in Huawei USA R&D center. He received M.Sc degree from Huazhong University of Science and Technology before joining Huawei.
Professor Sim has extensive experience serving as Editor and Guest Editor of many international journals. He has been an Associate Editor of the IEEE Transactions on Systems, Man, and Cybernetics, Part C since 2003. In addition, he serves as an Editorial Board Member of the International Journal of Cloud Computing (InderScience) and many other international journals. He is the sole Guest Editor/Lead Guest Editor of five special journal issues, including a special issue on Grid resource management (IEEE Systems Journal) and a special issue on game-theoretic analysis and stochastic simulation of negotiation agents (IEEE Transactions on SMC).
He has delivered numerous keynote lectures on agent-based Cloud computing and automated negotiation at international conferences. He founded and directs the Multiagent and Cloud Computing Systems Laboratory at the Gwangju Institute of Science and Technology, South Korea. In addition to attracting many highly competitive national research grants in South Korea, Hong Kong, and Taiwan, he has contributed many survey papers (including survey papers in IEEE Transactions). He publishes regularly in top journals (e.g., IEEE Transactions on SMC, Computational Intelligence Journal, and Journal of Autonomous Agent and Multiagent Systems) and top conferences (e.g., International Conference on Autonomous Agent and Multiagent Systems and IEEE International Conference on Cloud Computing Technology and Science).
He is a referee for many national research grant councils, including the National Science Foundation, USA, and has served as an external tenure and promotion reviewer for a preeminent research university in USA and a PhD thesis examiner for universities in Canada and Australia. He is a referee for Routledge Economics Book Series on Game Theory, Taylor & Francis, UK. Originating from Singapore, Professor Sim received his Ph.D. and M.Sc. degrees from the University of Calgary, AB, Canada, and graduated Summa Cum Laude with a B.Sc.(Hon) degree from the University of Ottawa, ON, Canada.
Dr. Yang received his B.Sc. degree in Geophysics from the University of Xi’AN Petroleum, Xi’an, Shaanxi, China, in 1984, and M.Sc. degree in Communication and Electronics System from China Academy of Post and Telecommunications, Beijing, China, in 1987, respectively.
Dr.Yang’s research interests include mobile communication technology and service applications. From 1987 to 1998, he was on the 4th Research Institute of the Ministry of Post and Telecommunications, Xi’AN. His works in this period include the development of the satellite communication earth station, TACS and IS-95A handset, and base stations. From 1988 to2001, he was the Vice President at the ERICSSON CATT R&D center, Beijing. He has developed the multiuser detector on WCDMA system. From 2002 to 2004, he was the Technical Expert at Huawei, Shanghai, responsible for WCDMA total solution and product planning. From 2005 to present, he is on China Telecom and currently is the Vice President of China Telecom Technology Innovation Center, Deputy Chief Engineer of China Telecom Beijing Research Institute.
Mr. Yang is the expert group member of national key project --the new generation broadband wireless communication network, Vice Chairman of CCSA TC5., Senior member of CIC, adjunct professor of BUPT. Mr. Yang has received the Second class prize of National Science and Technology Progress in 2003, the third class prize of Science and Technology Progress of MII in 1998, the first class prize of Science and Technology Progress of MPT in 1992. He has published 3 books and above 50 papers in the area of mobile communications.
Mr. Jiankang Ren has eighteen years of experience in IT and CT industry, and now he is director of Corp. Reliability RMG of CTO office.
Dr. Min Chen is a professor in the School of Computer Science and Technology at Huazhong University of Science and Technology (HUST). He was an assistant professor in the School of Computer Science and Engineering at the Seoul National University (SNU) from Sep. 2009 to Feb. 2012. He was the R&D director at Confederal Network Inc. from 2008 to 2009. He worked as a Post-Doctoral Fellow in Department of Electrical and Computer Engineering at University of British Columbia (UBC) for three years. Before joining UBC, he was a Post-Doctoral Fellow at SNU for one and half years. He received Best Paper Award from IEEE ICC 2012, and Best Paper Runner-up Award from QShine 2008. He has more than 180 paper publications. He serves as editor or associate editor for Wireless Communications and Mobile Computing, IET Communications, IET Networks, Wiley I. J. of Security and Communication Networks, Journal of Internet Technology, KSII Trans. Internet and Information Systems, International Journal of Sensor Networks. He is managing editor for IJAACS and IJART. He is Co-Chair of IEEE ICC 2012-Communications Theory Symposium, and Co-Chair of IEEE ICC 2013-Wireless Networks Symposium. He is General Co-Chair for the 12th IEEE International Conference on Computer and Information Technology (IEEE CIT-2012). His research focuses on multimedia and communications, such as multimedia transmission over wireless network, wireless sensor networks, body sensor networks, RFID, ubiquitous computing, intelligent mobile agent, pervasive computing and networks, E-healthcare, medical application, machine to machine communications and Internet of Things, etc. He is an IEEE Senior Member since 2009.
Hee Yong Youn received the BS and MS degree in electrical engineering from Seoul National University, Seoul, Korea, in 1977 and 1979, respectively, and the PhD degree in computer engineering from the University of Massachusetts at Amherst,in 1988. From 1979 to 1984, he was on the research staff of Gold Star Precision Central Research Laboratories, Korea. He had been Associate Professor of Department of Computer Science and Engineering, The University of Texas at Arlington until 1999. He is presently Professor of School of Information and Communication Engineering, Sungkyunkwan University, Suwon, Korea, and Director of Ubiquitous computing Technology Research Institute.
His research interests include distributed and ubiquitous computing, system software and middleware, and RFID/USN. He has published morethan 350 papers in int'l journals and conference proceedings, and received Outstanding Paper Award from the 1988 IEEE International Conference on Distributed Computing Systems, 1992 Supercomputing, and 2001 Korean Society Internet Information Spring Symposium, respectively. Dr. Youn has been actively contributing to the related society including General Chair of IEEE PRDC 2001, Int’l Conf. on Ubiquitous Computing Systems (UCS) in 2006 and 2009, UbiComp 2008, Program Chair of PDCS 2003 and UCS 2007. He has also been directing several Korean governmentprojects such as IT Infra Development for UEco City Project and USN Application Service Project, etc. He served as a lecturer of the ACM Distinguished Lectureship Series from 1993 to 1997. Dr. Youn is a senior member of the IEEE Computer Society.
Huajie He received his Ph.D. from Beijing University of Posts & Telecommunications and a Master degree of Communication Management from University of Strathclyde. He also holds a Master degree of Information Management of Fudan University & BI Norway.
Starting from 1997, Dr. He worked for China Telecom Guangdong, China Netcom, and currently holds a position at China Unicom. The responsibilities cover network planning and product innovations. He is the general manager of Chinaunicom Broadband Online Ltd., which operates value added services for Chinauicom.
Chi-Tsun (Ben), Cheng received the B.Eng. and M.Sc. degrees from the University of Hong Kong, Hong Kong, in 2004 and 2005, respectively, and the Ph.D. degree from the Hong Kong Polytechnic University, Hong Kong, in 2009. He was a recipient of the Sir Edward Youde Memorial Fellowship in 2009. From 2009 to 2011, he was a Post-Doctoral Fellow with the Department of Electrical and Computer Engineering, the University of Calgary, Canada. From 2009 to 2012, he was involved in a GEOIDE project, which is supported by the Government of Canada through the Networks of Centers of Excellence Programs. He is currently a Research Assistant Professor with the Department of Electronic and Information Engineering, the Hong Kong Polytechnic University, Hong Kong. He is serving as the chair of the International Workshop on Smart Sensor Networks since 2012. His research interests include wireless sensor networks, bio-inspired computing, and meta-heuristic algorithms.
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.
James Won-Ki Hong is 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. His interests include network innovation (such as SDN and NFV), cloud computing, mobile services, 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 is the General Chair of IEEE NetSoft 2016 (http://www.netsoft2016.org).
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 the University of Waterloo, Canada in 1991.
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.
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.
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.
Anup Kumar (firstname.lastname@example.org) 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 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.
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. 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.
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