AREA 1: 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 2: 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 IoT and Big Data

• Software Engineering Approaches, including Formal Methods, Agile Methods and Theoretical Algorithms for IoT and Big Data

• 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 IoT and Big Data, Grid and Cluster Computing

• Integration as a Service (data; service; business; federated IoT and Big Data)

• 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

AREA 3: 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 4: 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 5: 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