• IoT platform architecture
• IoT analytics
• Privacy preserving IoT data mining
• IoT and big data integrity and confidentiality
• Data and knowledge as a services
• Security and privacy applications
• Real-time and stream processing techniques and algorithms
• Batch processing engine and techniques
• Real-life case studies of value creation through advanced data analytic
• Proactive/predictive and advanced machine learning model
• Simplified and distributed data processing techniques
• Ubiquitous machine learning
• Smart home and independent living
• Fog and Egde computing of healthcare data
• 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
• 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
• Health Informatics as a Service (HIaaS) for any Type of Health Informatics, Computation and Services
• 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 IoT
• Software Engineering Approaches, including Formal Methods, Agile Methods and Theoretical Algorithms for IoT
• 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
• Integration as a Service (data; service; business; federated IoT)
• 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
• Wireless Systems and Applications
• e-Government, e-Commerce, e-Science and Creative Technologies for IoT