Track 1 - Information Technology in Automation

Track chairs

Patrick Denzler

Patrick Denzler

Technische Universität Wien, Austria

Federico Tramarin

Federico Tramarin

University of Modena and Reggio Emilia, Italy

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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:

  • 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
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    Track 2 - Industrial Communication Technologies and Systems

    Track chairs

    Claudio Zunino

    Claudio Zunino

    CNR-IEIIT, Italy

    Lisa Maile

    Lisa Maile

    Technical University of Braunschweig, Germany

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    Focus

    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:

  • 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
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    Track 3 - Real-Time Systems and Applications

    Track chairs

    Gaetano Patti

    Gaetano Patti

    University of Catania, Italy

    Patrick Yomsi

    Patrick Yomsi

    CISTER, Portugal

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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:

  • 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
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    Track 4 - Automated Manufacturing Systems

    Track chairs

    Ricardo J. Rodríguez

    Ricardo J. Rodríguez

    University of Zaragoza, Spain

    Andrey Morozov

    Andrey Morozov

    University of Stuttgart, Germany

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    Focus

    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:

  • 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
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    Track 5 - Industrial Control

    Track chairs

    Takao Sato

    Takao Sato

    University of Hyogo, Japan

    Cristian Mahulea

    Cristian Mahulea

    University of Zaragoza, Spain

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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:

  • 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
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    Track 6 - Computer Vision and Human-Machine Interaction in Industrial and Factory Automation

    Track chairs

    Giancarlo Iannizzotto

    Giancarlo Iannizzotto

    Università di Messina, Italy

    Javier Silvestre-Blanes

    Javier Silvestre-Blanes

    Universitat Politècnica de València, Spain

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    Focus

    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:

  • 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
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    Track 7 - Intelligent Robots and Systems

    Track chairs

    Andry Pinto

    Andry Pinto

    Universidade do Porto, Portugal

    Antoni Grau

    Antoni Grau

    Universitat Politecnica de Catalunya, Spain

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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:

  • Environment Description, Map Building and Localization, SLAM
  • Navigation incl. Collision Avoidance and Path Planning
  • Perception Robotics
  • Robot Learning and Deep Learning
  • Advanced Sensors and Vision Systems for Robotics
  • Multi-Agent Systems, Cooperative and Collaborative Robotics
  • Network Robotics
  • Edge computing and Integrated Intelligence
  • Robot Programming and Control Architecture Design
  • Arms and Mobile Manipulators
  • Simulation for Robotics
  • Training and Education in Robotics
  • Human-Robot Interaction
  • Supervision, Planning and Failure Recovery
  • Advanced Applications of Autonomous Robots
  • Sustainable Robotics and Applications
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    Track 8 - Advanced Sensing Technologies in the Industrial Internet of Things Era

    Track chairs

    Inés Alvarez Vadillo

    Inés Alvarez Vadillo

    ABB Corporate Research, Sweden

    Tullio Facchinetti

    Tullio Facchinetti

    University of Pavia, Italy

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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:

  • 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
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    Track 9 - Complex Automation Systems and Systems Engineering

    Track chairs

    Arndt Lueder

    Arndt Lueder

    Universität Magdeburg, Germany

    Christian Neureiter

    Christian Neureiter

    FH Salzburg university, Austria

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    Focus

    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:

  • Systems Engineering, Systems-of-Systems Engineering & Cyber-Physical Production Systems (CPPS)
  • Life Cycle Perspective of CPPS and Model Driven Engineering
  • Engineering Process Management and Humans in Engineering
  • Managing Structural and Dynamic Complexity
  • Systems Architecture supporting complex automation system design including Humans in the Loop
  • Decision-making for Complex Systems
  • Cloud/Edge/Fog Computing in Automation
  • Enterprise Architecture Integration
  • Modelling & Simulation & Management – Digital Twins, Digital Shadows, Asset Administration Shells
  • Large-Scale System Integration, Verification and Validation (IVV)
  • Modularity, Composability and Complexity in Autonomous Systems
  • 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
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    Track 10 - Artificial Intelligence for Cyber Physical Systems in Automation

    Track chairs

    Lukasz Wisniewski

    Lukasz Wisniewski

    inIT/TH-OWL, Germany

    Stefano Scanzio

    Stefano Scanzio

    CNR-IEIIT, Italy

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    Focus

    The track is focused on theoretical formulations, technical developments, practical applications, methods and case studies that leverage Artificial Intelligence (AI), Machine Learning (ML), Data Analytics, AI/ML-based Technologies, and Emerging Technologies for the automation and optimization of Cyber-Physical Systems in smart factory settings.

    Topics under this track include:

  • Distributed Architectures for Adaptive Systems
  • Autonomous Cyber-Physical Systems
  • Self-Configuration, Self-Adaption and Self-Organization for Smart Factories
  • Smart Cities, Smart Buildings and Smart Energy enhanced by AI
  • Grey-box machine learning
  • Real-time implementation of AI in automation
  • Knowledge representation and ontologies
  • AI-based Approaches to Support Security in Cyber Physical Systems
  • Unsupervised learning and latent representations
  • Networked Adaptive Systems and AI-based Network Digital Twins
  • AI Powered Intelligent Interfaces to Smart Distributed Systems
  • Industrial Conversational Agents
  • Machine Learning and Deep Learning for Production
  • Algorithms for Predictive Maintenance, Diagnosis, and Repair
  • Explainable and Trustworthy AI in Industrial Cyber-Physical Systems
  • Natural Language Processing Applications in Automation
  • Dependability of Cyber-Physical Systems
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    Track 11 - Vehicular Embedded Systems

    Track chairs

    Saad Mubeen

    Saad Mubeen

    Mälardalen University, Sweden

    Haibo Zeng

    Haibo Zeng

    Virginia Tech, USA

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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:

  • 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
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