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

• Data as a Service and Decision as a Service

• IoT Services and Applications

• New Service Models

• Software Engineering for Big Data Analytics

• SOA based approaches to IoT BD

• Social informatics, challenges and recommendations for IoT

• Any emerging services

AREA 3: BIG DATA FOR MULTI-DISCIPLINE SERVICES

• 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 and Health Informatics

• Cancer and Tumor Studies with Big Data

• DNA Sequencing, Organ Simulations and Processing

• Volume, Velocity, Variety and Veracity 

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

AREA 6: ITS TECHNOLOGIES

• 3D printing

• Artificial Intelligence

• Biotechnology

• Communication

• Data Processing

• Electronic Technologies for in-vehicle

• Internet of Things

• Mode-to-Mode Systems

• Nanotechnology

• Sensors

• Transport Safety and Mobility

• Vehicle-to-Infrastructure

• Vehicle-to-Vehicle

AREA 7: SECURITY, PRIVACY AND TRUST

• Algorithms, software engineering and development

• System design and implementation

• Testing (software engineering; penetration; product development)

• Encryption (all aspects)

• Firewall, access control, identity management

• Experiments of using security solutions and proof-of-concepts

• Large-scale simulations in the Cloud, Big Data and Internet of Things

• Intrusion and detection techniques

• Social engineering and ethical hacking: techniques and case studies 

• Software engineering for security modeling, business process modeling and analytics

• Trust and privacy

• Location-based privacy

• Data security, data recovery, disaster recovery

• Adoption challenges and recommendation

• Information systems related issues  

• Conceptual frameworks and models

• Emerging issues and recommendations for organizational security

• E-Commerce and online banking

• Social network analysis, emerging issues in social networks

• Education and e-Learning

• Surveys and their quantitative analysis

• Architecture (technical or organizational)

• Case Studies