Topics
- Big Data and Analytics
- Algorithms and systems for big data analysis search
- Algorithms and programming techniques for big data analysis processing
- Big data analysis analytics and metrics
- Anomaly detection in very large scale systems
- Big data analysis economics
- Big data analysis architectures
- Big data analysis for business model innovation
- Big data analysis encryption
- Big data analysis in enterprise management models and practices
- Big data analysis for enterprise, government and society
- Big data analysis in mobile and pervasive computing
- Big data analysis in government management models and practices
- Big data analysis search and mining
- Big data analysis management
- Benefits of Industry 4.0
- Improved productivity through optimization and automation
- Improved agility by use of technology
- Sustainability & better processes
- Real-time data for a supply chain in the digital economy
- The development of innovative capabilities and new revenue models
- Cognitive Computing
- Brain analysis for cognition
- Big data Infrastructure for cognition
- Deep learning for cognition
- Cognitive Robots and software agents
- IoT streaming approaches for cognitive systems
- Distributed data centers for cognition
- Cloud Computing
- Cloud design and test principles
- Cloud configuration and capacity management
- Cloud QoS based requirements engineering
- Cloud metering and monitoring
- Data as a Service (DaaS)
- Cloud workload profiling and deployment control
- Information as a Service
- Function as a Service (FaaS)
- Network as a Service
- Infrastructure as a Service (IaaS)
- Requirements engineering for cloud computing
- Platform as a Service (PaaS)
- Software as a Service (SaaS)
- Self-service cloud portal, dashboard, and analytics
- Storage as a Service
- Cyber-Physical Systems (CPS)
- Anonymization in CPS
- Access control for CPS
- Availability, recovery and auditing for CPS
- Authentication mechanisms for CPS
- Distributed secure solutions for CPS
- Data security and privacy for CPS
- Forensics for CPS
- Energy-efficient and secure CPS
- Key management in CPS
- Intrusion detection for CPS
- Secure CPS architectures
- Physical layer security for CPS
- Security on heterogeneous CPS
- Secure protocol design in CPS
- Trusted-computing in CPS
- Threat models for CPS
- Vulnerability analysis of CPS
- Computational Intelligence
- Convolutional neural networks
- Agents and Multi-agent Systems
- Genetic algorithms and evolutionary modelling
- Decision support systems
- Neural networks, Deep learning neural networks
- Intellectual decision-making systems
- Particle swarm optimization and ant colonies algorithms
- Ontologies, Micro-services, Containers, API in SOA and SOC
- Service - oriented computing and Architectures (SOA and SOC)
- Internet of Everything (IoE)
- Architectures for IoE
- Analytics for IoE
- Management of IoE
- Energy harvesting for IoE
- Protocols for IoE
- Privacy of IoE
- Semantics for IoE
- Security of IoE
- Fog Computing and Edge Computing
- Data centers and infrastructures for Fog/Edge computing
- Applications of Fog/Edge computing
- Fog/Edge storage
- Fog/Edge computing applications
- Legal issues in Fog/Edge clouds
- Latency/locality-critical applications
- Modelling Fog/Edge environments - e.g. using process networks, agent-based models, Peer-2-Peer systems, etc
- Middleware for Fog/Edge infrastructures
- Performance monitoring and modelling
- Monitoring/metering of Fog/Edge infrastructures
- Scheduling for Fog/Edge infrastructures
- Programming models and runtime systems for Fog/Edge Computing
- Security and privacy - including support for new cryptographic approaches
- The New Business Models in Industry 4.0
- New services and ecosystems - transformation
- Connectivity - connect for new applications and capabilities
- Systems and internal services - monitor and manage
- Sensors and actuators - connecting what should be connected
- Standards for IoT Application Integration
- Cyber-physical systems in the IoT 4.0 vision
- Building the adaptive digital factories of the future
- Fusion of IoT 4.0 and pervasive computing
- Energy efficiency in IoT 4.0
- Integrations in IoT 4.0
- Fusion of IoT 4.0 and ubiquitous computing
- Smart factories and smart applications
- Inter-disciplinary approach to IoT 4.0
- Collaboration between Industry 4.0 and the World Wide Web
- General Track: Digitalization Startegies
Who should Attend
Scientists, engineers, and managers in academia, industry, and government.
