Theme: I-SMAC (IoT in Social, Mobile, Analytics and Cloud)

• 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