Track 1 - Information Technology in Automation

Track Chairs

Alois Zoitl, Johannes Kepler University

Alois Zoitl

Johannes Kepler University, Austria
Wolfgang Kastner, Technical University of Wien

Wolfgang Kastner

Technical University of Wien, Austria

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Focus

The track is focused on the development, adoption and application of Information Technology 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, IT/OT 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 Factory, Home and Building 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
Michele Luvisotto, Hitachi ABB Power Grids

Michele Luvisotto

Hitachi ABB Power Grids, Sweden

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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 (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

Ahlem Mifdaoui, ISAE Toulouse

Ahlem Mifdaoui

ISAE Toulouse, France
Mohammad Ashjaei, Mälardalen University

Mohammad Ashjaei

Mälardalen University, Sweden

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Complete Details

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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
  • 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

Michael Weyrich, University of Stuttgart

Michael Weyrich

University of Stuttgart, Germany
Martin Wollschlaeger, TU Dresden

Martin Wollschlaeger

TU Dresden, 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 (but not limited to)

  • 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

Antonio Visioli, University of Brescia

Antonio Visioli

University of Brescia, Italy
Ramon Vilanova, Universitat Autonoma Barcelona

Ramon Vilanova

Universitat Autonoma Barcelona, Spain

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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 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

Marina Indri, Politecnico di Torino

Marina Indri

Politecnico di Torino, Italy
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 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 Robotics
  • 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

Stefano Vitturi, National Research Council of Italy (CNR-IEIIT)

Stefano Vitturi

National Research Council of Italy (CNR-IEIIT), 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
  • 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

Track 9 - Complex Automation Systems and Systems Engineering

Track Chairs

Arndt Lueder, Otto-v.-Guericke Universität

Arndt Lueder

Otto-v.-Guericke Universität, 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 engineering systems, such as industrial Cyber Physical Systems, towards attaining functional requirements and predictable performance.

Topics under this track include (but not limited to)

  • Systems Engineering, Systems‐of‐Systems Engineering, Systems Architecture
  • 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
  • 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

Daswin De Silva, La Trobe University

Daswin De Silva

La Trobe University, Australia
Stamatis Karnouskos, SAP

Stamatis Karnouskos

SAP, Germany

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Complete Details

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Focus

The track is focused on methods, technologies and case studies which leverage on cyber‐physical systems to provide smart capabilities such as self‐ configuration, self‐optimization and self‐diagnosis.

Topics under this track include (but not limited to)

  • 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
  • Networked Adaptive Systems
  • Intelligent Interfaces to Smart Distributed Systems, AI Powered  Smart Interfaces
  • Machine Learning for Production
  • Algorithms for Diagnosis and Repair
  • Self‐configuration and self‐optimization

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