Each of these topic areas is expanded below but the sub-topics list is not exhaustive. Papers may address one or more of the listed sub-topics, although authors should not feel limited by them. Unlisted but related sub-topics are also acceptable, provided they fit in one of the following main topic areas:

1. INTERNET OF THINGS (IOT) FUNDAMENTALS
2. INTERNET OF THINGS (IOT) APPLICATIONS
3. BIG DATA RESEARCH
4. BIG DATA AND COMPLEX BIOLOGICAL SCIENCE
5. EMERGING SERVICES AND ANALYTICS 

AREA 1: INTERNET OF THINGS (IOT) FUNDAMENTALS

• Network Design and Architecture
• Software Architecture and Middleware
• Mobile Services
• Data and Knowledge Management
• Context-awareness and Location-awareness
• Security, Privacy and Trust
• Performance Evaluation and Modeling
• Networking and Communication Protocols
• Machine to Machine Communications
• Intelligent Systems for IoT and Services Computing
• Energy Efficiency
• Social Implications for IoT
• Future of IoT and Big Data

AREA 2: INTERNET OF THINGS (IOT) APPLICATIONS

• Technological focus for Smart Environments
• Next Generation Networks
• Smart City Examples and Case Studies
• Data Analysis and Visualization for Smart City, Green Systems and Transport Systems
• Architecture for secure and interactive IoT
• Intelligent Infrastructure and Guidance Systems
• Traffic Theory, Modeling and Simulation
• Sensor Networks, Remote Diagnosis and Development
• Transportation Management
• Pattern Recognition and Behavioral Investigations for Vehicles, Green Systems and Smart City

AREA 3: BIG DATA RESEARCH

• Big Data fundamentals – Services Computing, Techniques, Recommendations and Frameworks
• Modeling, Experiments, Sharing Technologies & Platforms
• SQL/NoSQL databases, Data Processing Techniques, Visualization and Modern Technologies
• Analytics, Intelligence and Knowledge Engineering
• Data Center Enabled Technologies
• Sensor, Wireless Technologies, APIs
• Networking and Social Networks
• Data Management for Large Data
• Security, Privacy and Risk
• Software Frameworks (MapReduce, Spark etc) and Simulations
• Modern Architecture
• Volume, Velocity, Variety, Veracity and Value
• Social Science and Implications for Big Data

AREA 4: BIG DATA AND COMPLEX BIOLOGICAL SCIENCE

• Smart City and Transportation
• Education and Learning
• Business, Finance and Management
• Large-scale Information Systems and Applications
• Energy, Environment and Natural Science Applications
• Social Networks Analysis, Media and e-Government
• Proofs-of-concepts and Large-scale Experiments
• Risk Modeling, Simulation, Legal Challenges
• Open data: Issues, Services and Solutions
• Earth Science Simulation and Processing
• GPUs and Visualization
• Case Studies of Real Adoption
• Biomedical Experiments and Simulations
• Healthcare Services
• Health Informatics
• Cancer and Tumor Studies with Big Data
• DNA Sequencing
• Brain, Heart and Organ Simulations and Processing
• Volume, Velocity, Variety and Veracity for Biological Science

AREA 5: EMERGING SERVICES AND ANALYTICS

• Health Informatics as a Service (HIaaS) for any Type of Health Informatics, Computation and Services
• Big Data as a Service (BDaaS) including Frameworks, Empirical Approaches and Data Processing Techniques
• Big Data Algorithm, Methodology, Business Models and Challenges
• Security as a Service including any Algorithms, Methodology and Software Proof-of-concepts
• Financial Software as a Service (FSaaS) including Risk and Pricing Analysis; Predictive Modeling
• Education as a Service (EaaS) including e-Learning and Educational Applications
• Business Process as a Service (BPaaS) including Workflows and Supply Chain in the Cloud
• Software Engineering Approaches, including Formal Methods, Agile Methods and Theoretical Algorithms for Cloud
• Natural Science as a Service (NSaaS) including Weather Forecasting and Weather Data Visualization
• System Design and Architecture
• Mobile APIs, Apps, Systems and Prototype
• Gaming as a Service (GaaS)
• Framework (conceptual, logical or software)
• Analytics as a Service (AaaS) for any Types of Analytics
• Electronic, Logic, Robotic and Electrical Infrastructure, Platforms and Applications
• Energy-saving and Green IT Systems or Applications
• Middleware and Agents for Cloud, Grid and Cluster Computing
• Integration as a Service (data; service; business; federated clouds)
• Scheduling, Service Duplication, Fairness, Load Balance for SaaS and Analytics
• Tenant Application Development including Customization, Verification, Simulation, and testing on SaaS and Analytics
• IaaS, PaaS and SaaS quality of service (QoS), security, reliability, availability, service bus mechanisms
• Social Networks and Analytics
• User Evaluations and Case Studies
• IaaS, PaaS and SaaS, Big Data and Analytics demonstrations and Research Discussions from Computing Scientists, Business IS Academics and Industrial Consultants
• Wireless Systems and Applications
• e-Government, e-Commerce, e-Science and Creative Technologies for IoT and Big Data
• Any emerging services