Track 1: Knowledge Engineering, Big Data, and Cloud computing
Chairs: Anton Kos andrej.kos@fe.uni-lj.si Yunchuan Sun yunch@bnu.edu.cn

The Internet of Things, and of services and people, coupled with social networks means a huge increase in data. Analysing Big Data will become a key focus of research, competition, and innovation in the IoT. Processing of Big Data will in the cloud, and data mining will use background knowledge of societal, cultural, and personal trends. Knowledge engineering for better data mining, new approaches to cloud computing for big data, and new paradigms for Big Data processing are key topics. The topics in this track includes but are not limited to

    Engineering of Big Data applications for smart cities
    Parallel and distributed processing approaches in cloud computing
    New algorithms for Big Data processing, and data mining for Big Data intelligence
    Security and privacy in cloud computing and big data processing
    Knowledge engineering for Big Data processing and cloud computing
    Context awareness for mobile cloud/pervasive cloud, and Big Data processing

Track 2: Wireless and Mobile Security
Chair: Zhipeng Cai  zcai@gsu.edu Xiuzhen Cheng cheng@gwu.edu Shengling Wang wangshengling@bnu.edu.cn

In recent years, advances in wireless and mobile technologies have dramatically changed our personal and working lives. Many challenges exist in wireless and mobile applications, particularly, security ensuring and privacy.. The goal of this track is to explore cutting-edge research in this area. Topics include but are not limited to

    Trust in wireless and mobile networks
    Intrusion prevention and detection in wireless and mobile networks
    Security and privacy in wireless communications and mobile computing
    Security and privacy in emerging applications

Track 3: Fog Computing and IoT Services
Chair: Zhangbing Zhou zhangbing.zhou@gmail.com

With the rapid development and wide adoption of the Internet of Things (IoT), traditional device-centric IoT is moving into a new era where ubiquitous IoT resources are encapsulated and represented in terms of smart IoT services. In this setting, IoT resources at a certain network region are dynamically integrated through innovative IoT services for the realization of the value of interconnected IoT resources and the satisfaction of (near) real-time, intelligent and local user demands, and consequently, for the promotion of IoT intelligence at the edge of the network. To address this challenge, this research track calls for submissions on the topics including, but are not limited to, the following:

    Fog-based IoT and Service Management
    Fog-based IoT and Business Process Management
    Fog-based IoT Infrastructure and Framework
    Fog-based IoT Data Management
    Fog-based IoT Device and Resource Management
    IoT-enabled Edge and Fog computing
    Fog-based IoT Smart Home
    Fog-cloud Interactions and Protocols
    Security, Privacy and Trust in Fog Environment
    Edge Resource Storage
    Real-time Context -aware Fog Computing
    Network Function Virtualization for Fog Computing in IoT
    Load balancing and service selection in Fog Computing for IoT

Track 4: Frontiers in Cyber-Physical Systems
Chairs: Houbing Song h.song@ieee.org Wenjia Li wli20@nyit.edu Qinghe Du duqinghe@mail.xjtu.edu.cn

Cyber-physical systems (CPS) are engineered systems that are built from, and depend upon, the seamless integration of computational algorithms and physical components. Advances in CPS will enable capability, adaptability, scalability, resiliency, safety, security, and usability that will far exceed the simple embedded systems of today. CPS technology will transform the way people interact with engineered systems — just as the Internet has transformed the way people interact with information. New smart CPS will drive innovation and competition in sectors such as agriculture, energy, transportation, building design and automation, healthcare, and manufacturing. Work focused on theory, algorithms, implementation and field deployments will be of great interest to the track. Areas of interests include (but are not limited to)

    Control, optimization, signal processing, information theory
    Machine learning, verification, data mining,
    Sensor networks, embedded systems, human in the loop systems, social networks,
    Mobile computing, participatory sensing, crowd-sourcing, cloud computing

Track 5. BLOCKCHAIN, INTELLECTUAL PROPERTY, AND THE INTERNET OF THINGS
Chairs: Yuan Gao yuangao08@tsinghua.edu.cn Yunchuan Sun yunch@bnu.edu.cnRuidong Zhangzhangr@uwec.edu

Blockchain, a form of Distributed Ledger Technology, has been gaining enormous attention in areas beyond its cryptocurrency roots since more or less 2014: blockchain and IoT (the Internet of Things), Blockchain And Intellectual Property, blockchain and security, blockchain and finance, blockchain and logistics. In this track, we are looking forward novel researches in blockchain and its related work in IoT. Some possible topics are listed below and not limited to the following items:

    Knowledge Blockchain： conception and applications
    Blockchain network structure in iot
    Blockchain storage technology
    Distributed sensing technology
    Blockchain software architecture
    Blockchain security and privacy
    Blockchain resource allocation
    Blockchain cross layer design
    Blockchain applications in Intellectual Property
    Case studies

Track 6: Mobile Opportunistic networks
Chair: Shengling Wang wangshengling@bnu.edu.cn

Mobile opportunistic networks are delay tolerant networks where mobile carriers communicate with each other via their short-distance and low-cost devices to share data objects among mobile users. Unlike mobile ad hoc networks (MANETs) that require end-to-end communication paths for message exchange, the communications in mobile opportunistic networks take place on the establishment of opportunistic contacts among mobile nodes, without availability of end-to-end message routing paths. Such networks face numerous challenges due to the frequent disruptions and delays, and intermittent connectivity environment. Areas of interest in this track include (but are not limited to)

    Routing, dissemination and caching in mobile opportunistic networks
    Theoretical Analysis for mobile opportunistic networks
    Security, trust, privacy in mobile opportunistic networks
    Cooperation for opportunistic computing
    Applications for mobile opportunistic networks

Track 7: EHealth, Mobile Health and Wellbeing
Chairs: Anton Umek anton.umek@fe.uni-lj.si Junqi Guo guojunqi@bnu.edu.cn

“Big data” is endowing the traditional healthcare with mobility, intelligence and convenience, which has given birth to “E-Health & Mobile Health”. In such a mobile health environment, tasks like health monitoring of patients, information exchange between doctors and patients, intelligent diagnosis and information push, etc., can be automatically and rapidly accomplished by analyzing a large number of data collected from various mobile devices. However, such mobile applications face numerous challenges due to the voluminous data and complex procedures. Topics in this track include but are not limited to:

    Advanced data mining technologies for E-Health & Mobile Health
    Machine learning/Deep learning applications in E-Health & Mobile Health
    Smart phone/wearable device based human motion recognition
    Ubiquitous computing in personal health monitoring/architectural structure health monitoring
    Emerging wireless/mobile applications in E-Health & Mobile Health
    Advanced wireless telemedicine and e-health services

Track 8: Artificial Intelligence and Internet of Things
Chairs: Yu Bai  ybai@fullerton.edu

As The Internet of Things (IoT) continues to be envisioned as the most popular technology, the research of IoT has turned to how to drive value from IoT. While people have enjoyed a treasure trove of big data from IoT, the sheer volume of data being created by the IoT creates a big problem to analyze the deluge of data and information. Recently, the rapid development of artificial intelligence technology encounters great challenges as well as opportunities for IoT.
The proposed track provides the ground for emerging research ideas on how Artificial Intelligence (AI) can make a valuable contribution to solving problems that the Internet of Things. Contributions may come from diverse fields, including artificial intelligence; dependable computing; the Internet of Things; cyber-physical systems; mobile, wearable, and ubiquitous computing; ambient intelligence; architecture.
Original technical submissions on, but not limited to, the following topics are invited:

    Artificial Intelligence and Machine Learning
    Cloud computation for Internet-of-Things (IoT) devices
    Systems for neural computing (including deep neural networks)
    Secure IoT data transfer and storage
    Security, Trust, Privacy and Identity in the IoT
    Bio-inspired IoT and Big Data solutions, including the handling and analysis of data streams
    Interactions between augmented humans and the pervasive computing environment, including intelligent assistants and the IoT (for example, smart cities, homes, and cars)

Track 9: Wireless distributed computing
Chairs: Jiguo Yu jiguoyu@sina.com Dongxiao Yu dxyu@hust.edu.cn  Deying Li deyingli@ruc.edu. cn

With the development of wireless communications and networking, various communication models, interference models and channel models appeared, which lead to the effect that algorithmic design becomes more and more important and challenging. On the other hand, for the well-known reasons, centralized algorithms may not be the best choice to implement in large-scale wireless and heterogeneous networks, especially for the IoT, and distributed solutions are more desirable and appealing. Therefore, it is necessary to pay more efforts on designing distributed algorithms and protocols for solving problems from all layers of wireless networks. Areas of interest in this track include all the following aspects in wireless networks (but are not limited to)

    Topology control
    Scheduling and capacity
    Information dissemination and aggregation
    Media access control
    Communication reliability and security
    Interference and signal fading models

Track 10.INTERNET OF THINGS, BIG DATA, AND ARTIFICIAL INTELLIGENCE IN EDUCATION
Chair: Yi Li LIYI99@RUC.EDU.CN  Haiguang Fang fanghg2013@163.com Yanyan Liliyy@bnu.edu.cn

As The Internet of Things (IoT) continues to be envisioned as the most popular technology, the research of IoT has turned to how to drive value from IoT. While people have enjoyed a treasure trove of big data from IoT, the sheer volume of data being created by the IoT creates a big problem to analyze the deluge of data and information. Recently, the rapid development of artificial intelligence technology encounters great challenges as well as opportunities for IoT.

The proposed track provides the ground for emerging research ideas on how Artificial Intelligence (AI) can make a valuable contribution to solving problems that the Internet of Things. Contributions may come from diverse fields, including artificial intelligence; dependable computing; the Internet of Things; cyber-physical systems; mobile, wearable, and ubiquitous computing; ambient intelligence; architecture.

Original technical submissions on, but not limited to, the following topics are invited:

    Artificial Intelligence and Machine Learning
    Cloud computation for Internet-of-Things (IoT) devices
    Systems for neural computing (including deep neural networks)
    Secure IoT data transfer and storage
    Security, Trust, Privacy and Identity in the IoT
    Bio-inspired IoT and Big Data solutions, including the handling and analysis of data streams
    Interactions between augmented humans and the pervasive computing environment, including intelligent assistants and the IoT (for example, smart cities, homes, and cars)

Track 11. ELECTROMAGNETIC AND OPTICAL SENSING
CHAIRS: JIE GAO11694820@QQ.COM

As the wide application of information technology in the military and civil fields, information superiority has become the key factor to determine the outcome of all kinds of competition. Electromagnetic and optical sensing of target and environment, and the corresponding processing and analysis techniques are playing an increasingly important role. Therefore, the data acquisition of electromagnetic and optical characteristics, data analysis and database construction will become the key topics. The topics in this track includes but not limited to:

    Electromagnetic and optical characteristics measuring
    Electromagnetic and optical characteristics modeling
    Calibration technique
    Target recognition technique
    Data processing technique
    Database constructions

Track 12: Ubiquitous Sensing and Intelligent Media
Chairs: Junyu Dong dongjunyu@ouc.edu.cn Xiangwei Zheng sdnuzxw@126.com Da Yuanydccec@126.com

Ubiquitous Sensing and Intelligent Media, including environment sensing, Internet of Things (IoT), data or multimedia acquisition, intelligent media processing, harmonious human-computer interaction and pervasive computing have attracted huge interests from researchers. Accordingly, there are a variety of potential application in Ubiquitous Sensing and Intelligent Media. The aim of this track is to survey a state of art of methodologies, algorithms and systems in advanced research into Ubiquitous Sensing and Intelligent Media, which may involve any types of media data such as visual (including 2D, 3D and RGB data), audial, Electroencephalography (EEG)/MRI/CT and touch sensory data etc.

    Methods for intelligent information processing/computing: computer vision, graphics, visualization, visual analysis, multimedia storage &editing, multimedia coding and retrieval, object recognition and synthesis of audio and audio, multimedia universal access, etc.
    Methods for harmonious human-computer interaction: intelligent sensing, emotional computing, voice interaction, large-scale surface interaction, brain-computer interface, wear interaction, interaction efficiency and optimization, social network, etc.
    Methods for pervasive computing environment: Internet of Things, pervasive computing mode, active services, embedded systems, situational awareness, smart space, home gateway, etc.
    Systems/applications meeting various practical needs with novel technologies in machine perception and intelligent media.