EDI40　 2021 - The 4th International Conference on Emerging Data and Industry 4.0

The goal of the EDI40 conference is to provide an international forum for scientists, engineers, and managers in academia, industry, and government to address recent research results and to present and discuss their ideas, theories, technologies, systems, tools, applications, work in progress and experiences on all theoretical and practical issues arising in the systems paradigm, infrastructures, models, and technologies that have significant contributions to the advancement of data and industry 4.0 systems theory, practices and their applications.
Benefits of Industry 4.0
- Improved agility by use of technology
- Improved productivity through optimization and automation
- Real-time data for a supply chain in the digital economy
- Sustainability & better processes
- The development of innovative capabilities and new revenue models
Big Data and Analytics
- Algorithms and programming techniques for big data analysis processing
- Algorithms and systems for big data analysis search
- Anomaly detection in very large scale systems
- Big data analysis analytics and metrics
- Big data analysis architectures
- Big data analysis economics
- Big data analysis encryption
- Big data analysis for business model innovation
- Big data analysis for enterprise, government and society
- Big data analysis in enterprise management models and practices
- Big data analysis in government management models and practices
- Big data analysis in mobile and pervasive computing
- Big data analysis management
- Big data analysis search and mining
Cloud Computing
- Cloud configuration and capacity management
- Cloud design and test principles
- Cloud metering and monitoring
- Cloud QoS based requirements engineering
- Cloud workload profiling and deployment control
- Data as a Service (DaaS)
- Function as a Service (FaaS)
- Information as a Service
- Infrastructure as a Service (IaaS)
- Network as a Service
- Platform as a Service (PaaS)
- Requirements engineering for cloud computing
- Self-service cloud portal, dashboard, and analytics
- Software as a Service (SaaS)
- Storage as a Service
Cognitive Computing
- Big data Infrastructure for cognition
- Brain analysis for cognition
- Cognitive Robots and software agents
- Deep learning for cognition
- Distributed data centers for cognition
- IoT streaming approaches for cognitive systems
Computational Intelligence
- Agents and Multi-agent Systems
- Convolutional neural networks
- Decision support systems
- Genetic algorithms and evolutionary modelling
- Intellectual decision-making systems
- Neural networks, Deep learning neural networks
- Ontologies, Micro-services, Containers, API in SOA and SOC
- Particle swarm optimization and ant colonies algorithms
- Service - oriented computing and Architectures (SOA and SOC)
Cyber-Physical Systems (CPS)
- Access control for CPS
- Anonymization in CPS
- Authentication mechanisms for CPS
- Availability, recovery and auditing for CPS
- Data security and privacy for CPS
- Distributed secure solutions for CPS
- Energy-efficient and secure CPS
- Forensics for CPS
- Intrusion detection for CPS
- Key management in CPS
- Physical layer security for CPS
- Secure CPS architectures
- Secure protocol design in CPS
- Security on heterogeneous CPS
- Threat models for CPS
- Trusted-computing in CPS
- Vulnerability analysis of CPS
Fog Computing and Edge Computing
- Applications of Fog/Edge computing
- Data centers and infrastructures for Fog/Edge computing
- Fog/Edge computing applications
- Fog/Edge storage
- Latency/locality-critical applications
- Legal issues in Fog/Edge clouds
- Middleware for Fog/Edge infrastructures
- Modelling Fog/Edge environments - e.g. using process networks, agent-based models, Peer-2-Peer systems, etc.
- Monitoring/metering of Fog/Edge infrastructures
- Performance monitoring and modelling
- Programming models and runtime systems for Fog/Edge Computing
- Scheduling for Fog/Edge infrastructures
- Security and privacy - including support for new cryptographic approaches
Internet of Everything (IoE)
- Analytics for IoE
- Architectures for IoE
- Energy harvesting for IoE
- Management of IoE
- Privacy of IoE
- Protocols for IoE
- Security of IoE
- Semantics for IoE
Standards for IoT Application Integration
- Building the adaptive digital factories of the future
- Cyber-physical systems in the IoT 4.0 vision
- Energy efficiency in IoT 4.0
- Fusion of IoT 4.0 and pervasive computing
- Fusion of IoT 4.0 and ubiquitous computing
- Integrations in IoT 4.0
- Inter-disciplinary approach to IoT 4.0
- Smart factories and smart applications
- Collaboration between Industry 4.0 and the World Wide Web
The New Business Models in Industry 4.0
- Connectivity - connect for new applications and capabilities
- New services and ecosystems - transformation
- Sensors and actuators - connecting what should be connected
- Systems and internal services - monitor and manage