Track 1 - Information Technology in Automation
Track Chairs |
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Alois ZoitlJohannes Kepler Universität Linz, AustriaWolfgang KastnerTechnische Universität Wien, Austria |
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Focus |
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The track is focused on the development, adoption and application of information technology (IT) for automation systems.
Topics under this track include (but not limited to) |
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- IT Modeling Techniques for Automation Systems
- Model Driven Development and Model Based Engineering in Automation and Mechatronic Systems
- Data Modeling along the Plant Life Cycle
- Domain Specific Modeling and Programming Languages
- Knowledge Based Systems, Ontologies and Semantic Web in the Engineering of Automation Systems
- IT System Architecture Techniques in Automation Systems
- Vertical Integration, Integration with MES and ERP Systems
- Information Technology/Operation Technology Convergence
- Industrial Internet of Things
- Energy Management in and by Automated Systems
- Engineering Methods for Distributed Automation Systems and Cyber Physical (Production) Systems
- Software Reuse, Software Product Lines and other Software Engineering Methods in Automation
- Dynamically Reconfigurable, Adaptive and Emergent Automation
- Software/Systems
- Security and Safety in Automation
- Case Studies and Application Reports on these Topics
Track 2 - Industrial Communication Technologies and Systems
Track Chairs |
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Svetlana GirsMälardalen University, SwedenFederico TramarinUniversity of Modena and Reggio Emilia, Italy |
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Focus |
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The track is focused on industrial communication technologies, including modeling, analysis, and synthesis of provably correct systems, as well as characterization of application requirements, implementations, performance evaluation, validation, and case studies.
Topics under this track include (but not limited to) |
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- Industrial networks
- IP-based and web-based industrial communications
- Integration and interoperability of automation networks
- Middleware for industrial communications and decentralized control
- Software-Defined Networks and cognitive radio networks
- Wireless instrumentation and wireless sensor networks
- Mesh, relay, and multi-hop industrial networks
- Wireless coexistence, spectrum-sharing and radio resource management in industrial environments
- Dependability, fault tolerance, and safety in industrial networks
- Information security in industrial communications
- Industrial Internet of Things (IIoT)
- Machine-to-machine (M2M) communications
- Communication technologies for Industry 4.0
- Remote configuration and network management
- Real-time communication and precise synchronization
- Event-driven and time-triggered communications
- Quality of Service (QoS) and performance indexes
- Time-Sensitive Networking
Track 3 - Real-Time (and Networked) Embedded Systems
Track Chairs |
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Mohammad AshjaeiMälardalen University, SwedenGaetano PattiUniversity of Catania, Italy |
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Focus |
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Industry is increasingly permeated with embedded systems involved in complex functionality, distributed intelligence and adaptive behavior. Some of these features are deployed locally exploiting new powerful computing architectures while other are offloaded to peripheric or remote computing centers through ubiquitous connectivity and global networks. This track focuses on the challenges that arise from designing these systems, particularly given real-time, power, reliability, available resources and other constraints.
Topics under this track include (but not limited to) |
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- Application and Platform models: Real-Time Computing; Real-Time and Embedded Operating Systems and Communications; Networked and Distributed Embedded Systems; Multi/Many Core Embedded Systems; Wireless Sensor (and Actuator) Networks; Cyber Physical Systems; Industrial Internet-of-Things; Integration with Cloud/Fog/Edge Computing; Time-sensitive networks
- Design, Analysis and Deployment methods: Design Tools, Flows and Methodologies; Hardware/Software Co-Design; Components, Platforms and Re-Use; Synthesis and Code-Generation; Formal Methods; Verification and Validation; Data Integration and Fusion; Quality of Service; Timing and Schedulability Analysis.
- Architectures and System-wide issues: Distributed and System-on-Chip Architectures; Reconfigurable Real-Time Systems; Context-Aware and Self-Organizing Systems; Mixed-Criticality Real-Time Systems; Reliable and Fault-Tolerant Real-Time Systems; Energy and Performance Optimization; Software-Defined Networks
Track 4 - Automated Manufacturing Systems
Track Chairs |
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Tobias KleinertRWTH Aachen University, GermanyMartin WollschlaegerTU Dresden, Germany |
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Focus |
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The track is focused on the use of techniques and technologies for modeling, analysis, intelligent control, and enterprise integration of automated manufacturing systems.
Topics under this track include (but not limited to) |
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- Automated Manufacturing Systems and Enterprise Integration
- Industry 4.0 Technologies and Applications
- Best practices for Digital Twin modeling
- Recent Developments in Standardization, Intelligent Cyber-Physical Production Systems
- Optimization and flexible Management
- Condition Monitoring and Predictive Maintenance
- Fault Diagnosis, State-Estimation, and Identification in Formal Models
- Networked Control of Manufacturing Systems
- Planning and Distributed Control of Industrial Systems
- Synthesis and Analysis Techniques
- Performance Evaluation and Reliability
- Formal Modeling and Analysis of Manufacturing Systems
- Formal Methods and Verification Tools
- Discrete and Continuous Industrial Automation Systems
- Scheduling, Resource Allocation and Optimization
- Discrete Event Systems in Manufacturing Systems
- Application of Service-Oriented Technologies
- Test Cases, Benchmarks and Tools
- Applications and Experiences in Practice
Track 5 - Industrial Control
Track Chairs |
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Marian BarbuDunarea de Jos University of Galati, RomaniaRamon VilanovaUniversitat Autònoma Barcelona, Spain |
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Complete Details |
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Focus |
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This track is focused on the critical issues in industrial control. Industrial control addresses the use of sensors, metrology, and algorithms to monitor equipment, processes, and products to provide actionable information for maintenance and control. The successful application of industrial control draws from the domain expertise of multiple disciplines that are typically responsible for delivering separate elements of the complete solution, such as IT/factory automation, process technology, control engineering, yield management, safety engineering, etc.
Topics under this track include (but not limited to) |
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- Process Monitoring and Control
- Equipment Monitoring and Control
- Supervisory Control
- Intelligent Control
- Process Modeling and Optimization
- Control Performance Assessment
- Industrial Internet of Things
- Industrial Control Applications
- Computer Implementation of Control Systems
- Safety Issues in Industrial Control
- Environmental Implications of Control Systems
- Fault-Tolerant Control Systems
- Event-Based Control Design
- Control of Processes with Delay
Track 6 - Computer Vision and Human-Machine Interaction in Industrial and Factory Automation
Track Chairs |
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Javier Silvestre-BlanesUniversitat Politècnica de València, SpainGiancarlo IannizzottoUniversità di Messina, Italy |
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Focus |
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The track focuses on cutting‐edge and current research in computer vision, object detection/recognition and human factors for Human-Machine Interaction in industrial applications
Topics under this track include (but not limited to) |
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- Computer vision systems
- Machine vision technology for flexible factory automation
- Image and video processing, analysis and interpretation
- Monitoring and surveillance
- Vision‐based human‐machine interaction
- Multimodal communication
- Human activity and behavior understanding
- Human‐machine interface design and evaluation
- Virtual, mixed, and augmented reality
- Mobile, wearable and ubiquitous computing
- System and user evaluation
- Information visualization
Track 7 - Intelligent Robots and Systems
Track Chairs |
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Raul SuarezUniversitat Politecnica de Catalunya, SpainAndrea BonciUniversità Politecnica delle Marche, Italy |
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Focus |
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The aim of the track is to gather researchers and practitioners to report on recent achievements and on requirements in the development of real-world intelligent robots and systems, including robot prototypes, robot programming, robotics and artificial intelligence applications, sensor data processing in robotics and intelligent embedded systems, as well as on benchmarking and usability studies.
Topics under this track include (but not limited to) |
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- Environment Description, Map Building and Localization, SLAM
- Navigation incl. Collision Avoidance and Path Planning
- Perception for Robotics
- Advanced Sensors and Vision Systems for Robotics
- Active SLAM
- Multi-Agent Systems and Distributed Robotic Architectures
- Cooperative and Collaborative Robotics
- Network Robotic
- Intelligent Robotic Assistant
- Intelligent Embedded Systems and Integrated Intelligence
- Cognitive Robotics
- Robot Learning and Deep Learning in Robotics
- Robot Programming and Control Architecture Design
- Arms and Mobile Manipulators
- Simulation and Models for Robotics
- Training and Education in Robotics
- Human-Robot Interaction
- Supervision, Planning and Failure Recovery
- Advanced Applications of Autonomous Robots
- Sustainable Robotics and Applications
Track 8 - Intelligent Sensors, Sensor Networks, and Information Processing
Track Chairs |
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Alessandro BiondiScuola Superiore Sant’Anna, ItalyFrank GolatowskiUniversity of Rostock, Germany |
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Focus |
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The track is focused on the use of smart sensor technologies and information processing for monitoring and analysis of industrial systems, factory automation systems, and related applications. The track is also focused on architectural principles, design techniques, and implementation models for networked embedded sensor systems along with methods for their evaluation and/or performance analysis. Experience reports and case studies making appropriate scientific and technical contributions in this area are also solicited.
Topics under this track include (but not limited to) |
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- Networked Sensing: Novel components, devices and architectures; Devices and protocols for the (Industrial) Internet of Things; Energy harvesting in sensor networks; Network and system architectures; Security analysis and protocols; Communication protocols for sensor networks deployed in industrial scenarios
- Information Processing: Sensor data processing, data mining; (Distributed) Signal processing and data analytics; Sensor network modeling, simulation, measurements, and analysis; Network health monitoring, QoS management and dependability; Sensor tasking and actuation, wireless control and automation systems, orchestration for the IoT-to-Edge-to-Cloud compute continuum
- Applications: Industrial sensor network applications, deployment and case studies; Smart systems for production, optimization and green energy; Home and building automation, smart factories, smart grid, healthcare, precision agriculture, smart cities
Track 9 - Complex Automation Systems and Systems Engineering
Track Chairs |
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Arndt LuederOtto von Guericke Universität Magdeburg, GermanyLuca FerrariniPolitecnico di Milano, Italy |
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Complete Details |
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Focus |
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The track is focused on the system level design of complex technical systems, such as industrial Cyber Physical Systems, towards attaining functional requirements, controlled behavior and predictable performance. It focusses on the multi-disciplinary and multi-model nature of the related engineering tasks.
Topics under this track include (but not limited to) |
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- Systems Engineering, Systems-of-Systems Engineering, Systems Architecture
- Model Driven Engineering
- Complex Automation Systems
- Structural and Dynamic Complexity
- Cyber-Physical Systems & Cyber Security
- Distributed Adaptive and Predictive Real Time Control Systems
- Cloud Manufacturing
- Edge/Fog Computing in Automation
- Humans in the Loop
- Modelling & Simulation – Digital Twin
- Large-Scale System Integration and Verification
- Decision-making for Complex Systems
- Scalability and Complexity Management
- Modularity, Composability and Complexity in Autonomous Systems
- Engineering Process Management
- Case Studies and application reports from factory and process automation, automotive applications, transportation systems, district and urban automation and systems, energy systems, eHealth automation systems
Track 10 - Artificial Intelligence for Cyber Physical Systems in Automation
Track Chairs |
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Daswin De SilvaLa Trobe University, AustraliaStamatis KarnouskosSAP, Germany |
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Complete Details |
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Focus |
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The track is focused on theoretical formulations, technical developments, practical applications, methods and case studies that leverage Artificial Intelligence, Data Analytics and Emerging Technologies for the automation and optimization of Cyber-Physical Systems in smart factory settings.
Topics under this track include (but not limited to) |
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- Distributed Architectures for Adaptive Systems
- Autonomous Cyber-Physical Systems
- Self-Adaption and Self-Organization for Smart Factories
- Smart Cities, Smart Buildings and Smart Energy
- Deep learning and Self-Optimizing Cyber-Physical Systems
- Grey-box machine learning
- Real-time implementation of AI in automation
- Knowledge representation and ontologies
- Automatic system configuration
- Unsupervised learning and latent representations
- Networked Adaptive Systems
- Intelligent Interfaces to Smart Distributed Systems, AI Powered
- Smart Interfaces
- Industrial Conversational Agents
- Machine Learning for Production
- Algorithms for Diagnosis and Repair
- Self-configuration and self-optimization
Track 11 - Vehicular Embedded Systems
Track Chairs |
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Saad MubeenMälardalen University, SwedenRamez DaoudSEAD Group, American University in Cairo, Egypt |
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Complete Details |
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Focus |
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The track targets the challenges related to modeling, development, timing analysis, reuse, certification, deployment and execution of embedded systems in contemporary vehicles, as well as in the next generation of automated and connected vehicles.
Topics under this track include (but not limited to) |
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- Model- and component-based development of vehicular embedded systems
- Models and languages for vehicle software development, e.g., EAST-ADL and AUTOSAR
- In-vehicle communication protocols, e.g., CAN, CAN/FD, Automotive Ethernet, TSN
- Advanced computing platforms for vehicular systems, e.g., multi-core
- Support for timing predictability in vehicular embedded systems
- Safety, security and certification (e.g., ISO 26262) aspects in vehicular embedded systems
- Performance assessment, fault-tolerance and reliability issues in vehicular embedded systems
- Autonomous vehicles, advanced driver assistance systems, V2X communications
- Blended wired and wireless predictable communication in vehicular embedded systems
- Tool support, benchmarking and industrial case studies for vehicular embedded systems