Track 1 - Information Technology in Automation

Track Chairs
Alois Zoitl, Johannes Kepler Universität Linz

Alois Zoitl

Johannes Kepler Universität Linz, Austria
Wolfgang Kastner, Technische Universität Wien

Wolfgang Kastner

Technische Universität Wien, Austria

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Focus

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)
  • 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
  • Digital Twins
  • 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
  • AI and ML in Automation
  • Security and Safety in Automation
  • Case Studies and Application Reports on these Topics

Track 2 - Industrial Communication Technologies and Systems

Track Chairs
Svetlana Girs, Mälardalen University

Svetlana Girs

Mälardalen University, Sweden
Federico Tramarin, University of Modena and Reggio Emilia

Federico Tramarin

University of Modena and Reggio Emilia, Italy

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Focus

The track is focused on industrial communication technologies, including modelling, 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)
  • 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
Mohammad Ashjaei, Mälardalen University

Mohammad Ashjaei

Mälardalen University, Sweden
Gaetano Patti, University of Catania

Gaetano Patti

University of Catania, Italy

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Focus

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)
  • 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; software development for embedded systems.
  • 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; network configurations; Reconfiguration and self-configuration

Track 4 - Automated Manufacturing Systems

Track Chairs
Michael Weyrich, University of Stuttgart

Michael Weyrich

University of Stuttgart, Germany
Ricardo J. Rodríguez, University of Zaragoza

Ricardo J. Rodríguez

University of Zaragoza, Spain

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Focus

The track is focused on the use of techniques and technologies for modelling, analysis, intelligent control, and enterprise integration of automated manufacturing systems.

Topics under this track include (but not limited to)
  • Industry 4.0 and 5.0 technologies and its applications to automated manufacturing
  • Optimization, flexible management and self-adaptive manufacturing
  • Performance evaluation and reliability of discrete and continuous industrial automation systems
  • Software-defined manufacturing systems and enterprise integration
  • Best practices for Digital Twin in automated manufacturing
  • Data spaces for track and trace of value chains in production
  • Intelligent Cyber-Physical Production Systems
  • Standardization of modelling, software and control in automated manufacturing
  • Condition monitoring, predictive maintenance, and fault diagnosis
  • IT for networked and distributed manufacturing systems
  • Design and application of IT architectures, e.g., service-oriented technologies
  • Synthesis, modelling and analysis of manufacturing systems
  • Test cases, benchmarks, methods and validation and verification tools
  • Methods and tools for safety and security in automated manufacturing
  • Scheduling, resource allocation and optimization
  • Discrete Event Systems in manufacturing
  • Special applications and experiences in industry

Track 5 - Industrial Control

Track Chairs
Takao Sato, Hyogo University

Takao Sato

Hyogo University, Japan
Antonio Visioli,, University of Brascia

Antonio Visioli,

University of Brascia, Italy

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Complete Details

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Focus

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)
  • 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
Javier Silvestre-Blanes, Universitat Politècnica de València

Javier Silvestre-Blanes

Universitat Politècnica de València, Spain
Giancarlo Iannizzotto, Università di Messina

Giancarlo Iannizzotto

Università di Messina, Italy

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Complete Details

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Focus

The track focuses on cutting‐edge and current research in computer vision, object detection/recognition, human activity recognition and human factors for Human‐Machine Interaction in industrial applications.

Topics under this track include (but not limited to)
  • 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
Eduardo Montijano, Universidad de Zaragoza

Eduardo Montijano

Universidad de Zaragoza, Spain
Andrea Bonci, Università Politecnica delle Marche

Andrea Bonci

Università Politecnica delle Marche, Italy

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Complete Details

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Focus

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)
  • Environment Description, Map Building and Localization, SLAM
  • Navigation, Collision Avoidance and Path Planning
  • Perception for Robotics
  • Advanced Sensors and Vision Systems for Robotics
  • Active Perception and Sensing
  • Multi-Agent Systems, Distributed and Decentralized Multi-Robot Architectures
  • Cooperative and Collaborative Robotics
  • Assistive Robotics
  • 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
  • Condition monitoring and diagnosis in Robotics
  • Autonomous Robots and Advanced Applications
  • Bio-inspired Robotic Systems
  • Sustainable Robotics and Applications

Track 8 - Intelligent Sensors, Sensor Networks, and Information Processing

Track Chairs
Alessandro Biondi, Scuola Superiore Sant’Anna

Alessandro Biondi

Scuola Superiore Sant’Anna, Italy
Frank Golatowski, University of Rostock

Frank Golatowski

University of Rostock, Germany

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Complete Details

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Focus

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)
  • 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
Arndt Lueder, Otto von Guericke Universität Magdeburg

Arndt Lueder

Otto von Guericke Universität Magdeburg, Germany
Luca Ferrarini, Politecnico di Milano

Luca Ferrarini

Politecnico di Milano, Italy

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Complete Details

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Focus

The track is focused on the system level design of complex technical systems, such as industrial Cyber Physical Systems, covering the complete system life cycle emphasizing the impact of all life cycle phases on control system design, implementation, and use. It focusses on the multi-disciplinary and multi-model nature of the related engineering tasks.

Topics under this track include (but not limited to)
  • Systems Engineering, Systems-of-Systems Engineering, Systems Architecture
  • Model Driven Engineering
  • Complex Automation Systems
  • Structural and Dynamic Complexity
  • Cyber-Physical Systems
  • Distributed Control Systems
  • Cloud and Edge/Fog Computing in Automation
  • Humans in the Loop
  • Humans in Engineering
  • Digital Twin, Digital Shadow, Asset Administration Shell
  • 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
Tullio Facchinetti, University of Pavia

Tullio Facchinetti

University of Pavia, Italy
Liviu Miclea, Technical university of Cluj-Napoca

Liviu Miclea

Technical university of Cluj-Napoca, Romania

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Complete Details

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Focus

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)
  • Distributed Architectures for Adaptive Systems
  • Autonomous Cyber-Physical Systems
  • Deep Learning and Self-Optimizing Cyber-Physical Systems
  • Real-time Implementation of AI in Automation
  • Knowledge Representation and Ontologies
  • Machine Learning for Production
  • Natural Language Processing Applications in Automation
  • Unsupervised Learning and Latent Representations
  • Grey-box Machine Learning
  • Networked Adaptive Systems
  • Algorithms for Diagnosis and Repair
  • Self-Configuration and Self-Optimization
  • Self-Adaption and Self-Organization for Smart Factories
  • Automatic System Configuration
  • Dependability of Cyber-Physical Systems
  • Intelligent Interfaces to Smart Distributed Systems
  • AI Powered Smart Interfaces
  • Industrial Conversational Agents
  • Smart Cities, Smart Buildings and Smart Energy Systems

Track 11 - Vehicular Embedded Systems

Track Chairs
Saad Mubeen, Mälardalen University

Saad Mubeen

Mälardalen University, Sweden
Ramez Daoud, SEAD Group, American University in Cairo

Ramez Daoud

SEAD Group, American University in Cairo, Egypt

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Complete Details

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Focus

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)
  • 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