Important Dates

July 5, 2018 (Firm Deadline)

Late-Breaking Innovation Paper Submission Due

April 8, 2018 (Closed)

Workshop Proposal Due

June 20, 2018 (Closed)

Special Session Proposal Due

May 15, 2018 (Closed)

Paper Submission Deadline

June 20, 2018 (Closed)

Industry Session Paper Submission Deadline

June 20, 2018 (Closed)

WiP Paper Submission Due

June 20, 2018 (Closed)

Poster/Demo Submission Due

June 25, 2018

Authors Notification (for all papers submitted before May 30, 2018)

July 8, 2018

Authors Notification (for all papers submitted after May 30, 2018)

August 8, 2018

Camera-ready & Registration


Keynote Speeches

You are Welcome to Attend Keynote Speeches Specific to IEEE UIC 2018 as in Part I.

You are also Welcome to Attend all Keynote Speeches Shared by Co-Located IEEE Smart World Congress 2018 & IEEE ATC 2018 & IEEE ScalCom 2018 & IEEE CBDCom 2018 & IEEE IoP 2018 & IEEE SCI 2018 Conferences as in Part II.

Part I.

Keynote Speaker 1: Prof. Silvia Giordano, University of Applied Science - SUPSI, Switzerland
Title: User-centric Privacy & Security in the Ubiquitous World

Detailed Information about Keynote Speeches

Title: User-centric Privacy & Security in the Ubiquitous World

Keynote Speaker 1: Prof. Silvia Giordano

University of Applied Science - SUPSI, Switzerland

. Ubiquitous Intelligence and Computing is creating a new service-rich world. However, it is also opening new paths for data leakage, data breach, and data phishing. We need to take a fresh look at the data privacy space by considering a user-centric approach. It has to be user-centric by considering user behaviours and the user context in order to teach them to improve security and privacy, and realize so privacy preserving data collection and processing. It has also to increase users awareness, data transparency and control. Users need to be informed about the data that are being collected in a user-friendly manner, and must have the option to oppose to them. This further generate a problem of Quality-of-Service, as in many scenarios there is a trade-off between guaranteeing privacy and performance. We are going to analyze some scenarios and possible solutions, and discuss how this can impact on our society.

Biography. Prof. Silvia Giordano holds a PhD from EPFL, Switzerland. She is currently the head of the Networking Lab (NetLab) in the Institute of System for Informatics and Networking (ISIN), co-responsible for the Social application area and direction member of ISIN, at the University of Applied Science and Arts - SUPSI in Ticino, Switzerland. Since October 2001, she is an associate researcher at CNR, Pisa. Since 2018 she is ACM Distinguished Members Committee. In 2017 she received the Stars in Computer Networking and Communications of ACM. In 2015, she received the 1000 Talents of Tianjin Municipality. In 2014 she was awarded ACM Distinguished Scientist and became Distinguished professor of the University of Tianjin. In 2013, she became ACM Distinguished Speaker. She is co-editor of the book (IEEE-Wiley 2004), and a new edition, with title (IEEE-Wiley 2013). Her main research interests are Complex and Social Networking, Wireless and Mobile Ad Hoc Networks, Opportunistic Computing and Networking, Human Mobility, Pervasive Computing and Networking, Quality of Service and Traffic Control. She has published extensively on journals, magazines and conferences in the areas of quality of services, traffic control, wireless and mobile ad hoc networks, and her H-Index is 36. She is series editor of several important publications in her areas of interest. She is in the organization of the major conferences in her areas of interest and is co-founder/steering committee member of several important international events and is/was on the executive committee and TCP of the most relevant international conferences. She is a senior member of ACM, IEEE Computer Society, and IFIP WG 6.8. She is in the Board of the ACM N2Women.

Part II.

IEEE Smart World Congress 2018 :

Keynote Speaker 1: Prof. Yanliang Du, Shijiazhuang Tiedao University, China
Title: Research on the Development Status of China Transport Infrastructure and Intelligent Road Network Package

Keynote Speaker 2: Prof. Xuemin (Sherman) Shen, University of Waterloo, Canada (IEEE Fellow)
Title: Automated Driving and Connected Vehicles

Keynote Speaker 3: Prof. Mohammed Atiquzzaman, University of Oklahoma, USA
Title: Smart Communication with Space: Protocols and Mobility Management

Keynote Speaker 4: Dr. Yihong Qi, CEO of General Test Systems
Title: Smart test for Smart world

IEEE CBDCom 2018:

Keynote Speaker 1: Prof. Song Guo, The Hong Kong Polytechnic University
Title: Machine Intelligence in Geo-Distributed Systems: From Cloud to Edge

IEEE IoP 2018:

Keynote Speaker 1: Prof. Fuhua (Oscar) Lin, Athabasca University, Canada
Title: Multi-Agent Systems with Reinforcement Learning

Detailed Information about Keynote Speeches

Title: Research on the Development Status of China Transport Infrastructure and Intelligent Road Network Package

Keynote Speaker 1: Prof. Yanliang Du

Shijiazhuang Tiedao University, China


“The achievements and challenges during the development of China Transport Infrastructure?”
The construction of transportation infrastructure has been making great progress, which is unprecedented in the amount of investment and the speed of growth. Meanwhile, rapid development of traffic construction has also laid a solid foundation for supporting rapid and sound development of economy and played an enormous role in boosting economic development, social progress, stability in border areas and national unity. However, for the transportation infrastructure, which its life cycle reached end of life and still has a certain function, demolishment and re-building using large sums of money, not only cause a lot of waste resource but also will be difficult to realize because of the restriction of the busy traffic, environment protection, geographic space requirement, etc.

“The characteristics of the intelligent road network?”
With the development of smart city and intelligent transportation systems (ITS), numerous sensing devices are developed in traffic network. It can utilize various kinds of data sources such as vehicle sensors and traffic cameras and hold the potential to alleviate the phenomenon. Significant increasing number of available sensing devices, mobile devices, and real-time monitors, and advanced sustainable transport infrastructure generate a huge amount of city transportation data. Currently, this city transportation big data is unfortunately not fully analyzed and utilized in city traffic data services.

“What should we do for the Future Intelligent Road Network?”
Based on the technology of seamless perception, using the Internet of Things(IoT), Big data, Cloud Computing and so on, research the comprehensive information integration technology and innovate the new operation and management modes of Intelligent Transport Network, to optimize the operational procedures and improve the control ability and maintenance decision level of the government, and to build new regulatory means and coordination and linkage mechanism between government departments. The Development and advancement of the intelligence road network research has a great scientific significance and application value for security the safety traffic infrastructure, the long-term service performance, smooth and efficiency in transport traffic.

Biography. Prof. Yanliang Du is a professor in the Structural Health Monitoring and Control Institute at the Shijiazhuang Tiedao University, Hebei province, China. He received his Bachelor and Master Degree in engineering from PLA Railway Corps Engineering College and Beijing Jiaotong University in 1980 and 1989, respectively. In 1993, he obtained his Ph.D. in engineering from Beihang University, China.

His research interests are in large engineering structure state monitoring and safety control, especially the railway safety monitoring and reliability evaluation. He has successfully integrated the intelligent structure theory and incorporated it into the civil engineering safety assurance technology. Besides, he proposed a new structure state monitoring and safety control theory, namely monitoring - evaluation - early warning – repair theory, and applied it in many China rail transit projects such as the national high-speed railway, the heavy haul railway, the railway in cold and plateau area, the sped-up existing railway and the urban railway.

Dr. Yanliang Du received many awards, such as the First Prize (once) and the Second Prize (twice) of National Science and Technology Progress Awards, the First Prize of Ministerial and Provincial-Level Science and Technology Awards (six times), the First Prize (once) and the Second Prize (twice) of National Teaching Achievement Awards, Science and Technology Awards of the Ho Leung Ho Lee Foundation (once). He also obtained the honorary titles of National Outstanding Professional and Technical Personnel and National Outstanding Teacher. He has been authorized 12invention patents, and published more than 180 papers and 9 Monograph / textbooks. He was elected as the Chinese Academy of Engineering in 2013.


Title: Automated Driving and Connected Vehicles

Keynote Speaker 2: Prof. Xuemin (Sherman) Shen

University of Waterloo, Canada (IEEE Fellow)

. Modern society depends on faster, safer, and environment friendly transportation system. Vehicular communications network in terms of vehicle to vehicle, vehicle to infrastructure, vehicle to pedestrian, vehicle to cloud, and vehicle to sensor, can provide a solution to such transportation system. In this talk, we first introduce the all connected vehicles. We then present the applications, challenges and scientific research issues of vehicular communications network.  We also explain the role of vehicular networking in the automated driving era. We conclude the talk by discuss the future Space-Air-Ground (SAG) Integrated vehicular networks.

Biography. Xuemin (Sherman) Shen is a University Professor, and Associate Chair for Graduate Study, Department of Electrical and Computer Engineering, University of Waterloo, Canada. Dr. Shen's research focuses on wireless resource management, wireless network security, smart grid and vehicular ad hoc and sensor networks. He is the Editor-in-Chief of IEEE IoT J. He serves as the General Chair for Mobihoc'15, the Technical Program Committee Chair for IEEE GC'16, IEEE Infocom'14, IEEE VTC'10, the Symposia Chair for IEEE ICC'10, the Technical Program Committee Chair for IEEE Globecom'07, the Chair for IEEE Communications Society Technical Committee on Wireless Communications. Dr. Shen is an elected IEEE ComSoc Vice President - Publications, the chair of IEEE ComSoc Distinguish Lecturer selection committee, and a member of IEEE ComSoc Fellow evaluation committee. Dr. Shen received the Excellent Graduate Supervision Award in 2006, and the Premier's Research Excellence Award (PREA) in 2003 from the Province of Ontario, Canada. Dr. Shen is a registered Professional Engineer of Ontario, Canada, an IEEE Fellow, an Engineering Institute of Canada Fellow, a Canadian Academy of Engineering Fellow, a Royal Society of Canada Fellow, and a Distinguished Lecturer of IEEE Vehicular Technology Society and Communications Society.


Title: Smart Communication with Space: Protocols and Mobility Management

Keynote Speaker 3: Prof. Mohammed Atiquzzaman

University of Oklahoma, USA

. Data communications between Earth and spacecrafts, such as satellites, have traditionally been carried out through dedicated links. Smart communication using shared Internet Protocol-based communication offers a number of advantages over dedicated links. The movement of spacecrafts however gives rise to mobility management issues.

This talk will discuss various mobility management solutions for extending the Internet connection to smart spacecrafts. The talk with provide an overview of the network layer based solution being developed by the Internet Engineering Task Force and compare with the transport layer based solution that have been developed at University of Oklahoma in conjunction with the National Aeronautics and Space Administration. Network in motion is an extension of the host mobility protocols for managing the mobility of networks which are in motion, such as those in airplanes and trains. The application of networks in motion will be illustrated for both terrestrial and space environment along with security issues related to mobility management schemes.

Biography. Mohammed Atiquzzaman (Senior Member, IEEE) obtained his M.S. and Ph.D. in Electrical Engineering and Electronics from the University of Manchester (UK) in 1984 and 1987, respectively.  He currently holds the Edith J Kinney Gaylord Presidential professorship in the School of Computer Science at the University of Oklahoma.

Dr. Atiquzzaman is the Editor-in-Chief of Journal of Networks and Computer Applications, the founding Editor-in-Chief of Vehicular Communications, and serves/served on the editorial boards of many journals including IEEE Communications Magazine, Real Time Imaging Journal, International Journal of Communication Networks and Distributed Systems and Journal of Sensor Networks and International Journal of Communication Systems. He co-chaired the IEEE High Performance Switching and Routing Symposium (2003, 2011), IEEE Globecom and ICC (2014, 2012, 2010, 2009, 2007, 2006), IEEE VTC (2013)  and the SPIE Quality of Service over Next Generation Data Networks conferences (2001, 2002, 2003). He was the panels co-chair of INFOCOM’05, and is/has been in the program committee of many conferences such as INFOCOM, Globecom, ICCCN, ICCIT, Local Computer Networks, and serves on the review panels at the National Science Foundation. He is the current Chair of IEEE Communication Society Technical Committee on Communications Switching and Routing.

Dr. Atiquzzaman received IEEE Communication Society's Fred W. Ellersick Prize, and NASA Group Achievement Award for "outstanding work to further NASA Glenn Research Center's effort in the area of Advanced Communications/Air Traffic Management's Fiber Optic Signal Distribution for Aeronautical Communications" project. He is the co-author of the book “Performance of TCP/IP over ATM networks” and has over 270 refereed publications, available at

His current research interests are in areas of transport protocols, wireless and mobile networks, ad hoc networks, satellite networks, power-aware networking, and optical communications. His research has been funded by National Science Foundation (NSF), National Aeronautics and Space Administration (NASA), and U.S. Air Force, Cisco and Honeywell.


Title: Smart test for Smart world

Keynote Speaker 4: Dr. Yihong Qi

CEO of General Test Systems

. TBD.

Biography. Dr. Yihong Qi is president of General Test Systems. He is adjunct professor in Missouri University of Science and Technology and Hunan University. Dr. Qi is an engineer and inventor, who has been merging the fundamental research breakthroughs of noise theory and electromagnetics with the applications in wireless communications. With more than 250 invention patents, he was the hardware technology driving force for the success of Blackberry. He is founder and partner of four technology companies, employing more than 4000 people globally. He developed multi-resonance antenna theory, which has led to the invention of a new generation of antenna for mobile phones which is used by all the smart phones today.

Dr. Qi is fellow of Canadian academy of engineering. He is chairman of IEEE emerging wireless communication technical committee of EMC society, Chairman of IEEE passive intermodulation working group. Dr. Qi is contributor for the CTIA and 3GPP standards. He is an advisory board of directors and associate editor of IEEE transaction on EMC, associate editor of IEEE internet of things journal. Dr. Qi is the distinguished lecturer of EMC society. He received the IEEE technical achievement awards in the IEEE EMC society, outstanding reviewer of IEEE transaction on instrumentation and measurement, top 10 entrepreneur award in the Pearl Delta all in 2017.


Title: Machine Intelligence in Geo-Distributed Systems: From Cloud to Edge

Keynote Speaker 1: Prof. Song Guo

The Hong Kong Polytechnic University

. When accessing cloud-hosted modern applications, users often suffer a significant latency due to the long geo-distance to the central cloud. Edge computing thus emerges as an alternative paradigm that can reduce this latency by deploying services close to users. In this talk, we will analyze the methodology and limitations of popular approaches for supporting AI services on geo-distributed systems along the evolution from cloud computing to edge computing. In particular, we shall discuss how to deal with different sets of challenges in training and inference, the two phases of machine learning based applications, over heterogeneous geo-distributed systems. We shall also present our recent studies on data driven resource management among networked collaborative edges.

Biography. Song Guo is a Full Professor at Department of Computing, The Hong Kong Polytechnic University. His research interests are mainly in the areas of big data, cloud computing and networking, and distributed systems. His work was recognized by the 2016 Annual Best of Computing in ACM Computing Reviews. He is the recipient of the 2017 IEEE Systems Journal Annual Best Paper Award and other five Best Paper Awards from IEEE/ACM conferences. Prof. Guo was an Associate Editor of IEEE TPDS and an IEEE ComSoc Distinguished Lecturer. He is now on the editorial board of IEEE TCC, IEEE TETC, IEEE TSUSC, IEEE TGCN, IEEE Network, etc. Prof. Guo also served as General and TPC Chair for numerous IEEE conferences. He currently serves as a Director and Member of the Board of Governors of ComSoc.


Title: Multi-Agent Systems with Reinforcement Learning

Keynote Speaker 1: Prof. Fuhua (Oscar) Lin

Athabasca University, Canada

. Distributed competitive decision making, as opposed to centralized planning, is emerging as the norm in networked systems which involve repeatedly making decisions in an uncertain environment. In this keynote presentation I will present Multi-Agent Systems with Reinforcement Learning for decision-making for such systems, taking into account rationally selfish behavior of the connected agents/minds. In such environments, agents need to consider how to compete for scarce resources, trade, negotiate automatically, learn from each other, and form social organizations. In particular, I will discuss multi-armed bandit (MAB) learning algorithms. Unlike standard black-box and big-data based machine learning tools, MAB algorithms are active learning, which refers to algorithms that actively select data they should receive, and online learning, which refers to algorithms that analyze data in real-time and provide results on the fly. I will present MAB two real-world applications: Online Scheduling in Oil and Gas Industry and Vehicle Routing for Driverless Cars in Smart City.

Biography. Fuhua Lin is a professor in computing and information systems, Faculty of Science and Technology at Athabasca University, Canada. His main research interests are: intelligent systems, multiagent systems, game theory, virtual reality, machine learning, online learning technologies and online scheduling. He has published more than 100 papers in international journals, proceedings of international conferences, books, and book chapters. Dr. Lin obtained his PhD in Virtual Reality from the Hong Kong University of Science and Technology in 1998. Prior to working in Athabasca University, Dr. Lin was a Research Officer of Institute for Information Technology of National Research Council (NRC) of Canada. Dr. Lin did post-doc research at University of Calgary during 1998-1999. Dr. Lin has acted as Principal and co-Principal Investigator on two NSERC Discovery Grants, two NSERC Engage grants, one Canada Foundation for Innovation (CFI) fund of Canada. He severed as the Co-Editor-In-Chief and Editor-In-Chief of International Journal of Distance Education Technologies (IJDET) during 2009-2013. Dr. Lin got Leaders Opportunity Fund Award from CFI in 2009, Craig Cunningham Mentoring and Teaching Excellence (CCMATE) Award, from Athabasca University in 2012, and a best paper award at IEEE Computer Science and Engineering (CSE) 2014. Dr. Lin is a member of AAAI, ACM, IEEE, AIED, and CAIAC.




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