SS 01 - New technologies applied to industrial supervision systems and predictive maintenance

Special Session Organized by

Miguel Delgado Prieto, Technical University of Catalonia (UPC), Spain and Juan Jose Saucedo Dorantes, University of Queretaro, Mexico and Jorge Hernandez Ambato, Escuela Superior Politecnica de Chimborazo (ESPOCH), Ecuador

Download Call for Papers

Click here to download the session cfp.

Focus

The industrial maintenance represent one of the main players towards the next generation of factory automation under the Industry 4.0 framework. This special session is focused on the discussion of emerging technologies, such as artificial intelligence, data analytics, cognitive computing, computer vision, industrial internet of things and cyber-physical systems, among others, applied to industrial supervision and predictive maintenance challenges. Thus, the interests of this session are novel monitoring approaches resulting from the application of such new technologies to equipment, machinery and plants towards a sustainable, efficient and intelligent manufacturing sector.

Topics under this track include (but not limited to):

  • Condition monitoring and decision support systems
  • Processes modelling and operation optimization
  • Cyber-physical systems for industrial application supervision
  • Cognitive computing and computer vision for process monitoring
  • Novelty detection and incremental learning systems
  • Multi-fault diagnosis and data fusion strategies
  • Novel sensors and edge monitoring solutions

Complete Details

Click here for complete details.

SS 02 - Skill Based Systems Engineering (SEnSEI)

Special Session Organized by

Kathrin Evers, Festo, Germany and Roman Froschauer, Upper Austrian University of Applied Sciences, Austria and Aljosha Köcher, Helmut Schmidt University - Institute of Automation Technology, Germany and Kristof Meixner, Christian Doppler Laboratory SQI, Austria and Siwara Schmitt, Fraunhofer IESE, Germany and Michael Weser, KUKA, Germany

Download Call for Papers

Click here to download the session cfp.

Focus

The selection of proper automation components for a given task is a complex and time-consuming challenge. As customer requirements tend to change more and more frequently, it becomes necessary to pursue flexible and changeable automation approaches. Recent research has introduced approaches based on capabilities and skills using holistic data models (i.e. ontologies, DSLs, variability models …). While capabilities are seen as an abstract description of the (manufacturing) processes a system is able to perform, skills are often described as their executable counterparts (i.e. modelling an invocation interface such as OPC UA). In order to automatically find solutions for a customer requirement, required tasks as well as domain specific constraints have to be matched with capabilities provided by automation components. This can be achieved by various techniques such as AI planning or knowledge graph exploration and reasoning. Skill based process plans can then be orchestrated by combining the skills which are related to the capabilities found in the previous step. Finally, simulation and optimization of such process plans can be performed before executing them.

Topics under this track include (but not limited to):

  • Modeling of automation tasks and capabilities: Data Modeling, Modeling Languages, Knowledge Graphs, Rule Engines, Knowledge-based Systems
  • Finding possible components: Planning, Artificial intelligence, Capability-task-matching, Knowledge Graph Exploration
  • Skill based processes: Generation/Modeling, Orchestration, Execution, Optimization
  • Simulation of a proposed plan: Optimization, simulation techniques
  • Derivation of code: Automated code generation, model-based programming

Complete Details

Click here for complete details.

SS 03 - 5G as a part of Factories of the Future

Special Session Organized by

Mikael Gidlund, Mid Sweden University, Sweden and Jürgen Jasperneite, OWL University of Applied Sciences and Arts, Germany and Lukas Martenvormfelde, OWL University of Applied Sciences and Arts, Germany and Arne Neumann, OWL University of Applied Sciences and Arts, Germany and Sebastian Schriegel, Fraunhofer IOSB-INA, Germany and Lukasz Wisniewski, OWL University of Applied Sciences and Arts, Germany

Download Call for Papers

Click here to download the session cfp.

Focus

This special session is dedicated to bring together experts from various domains, such as IT, Telecommunication, and Automation, in order to elaborate on challenges in the area of industrial communication. Nowadays, several highly sophisticated technologies are implemented in factories realizing a high variety of industrial applications and achieving high performances in terms of cycle times and reliability. However, this performance is typically only feasible within strictly defined technologies or vendor specific communication domains, so that the interoperability becomes a big issue. 5G promises to open new possibilities, especially for flexible and converge networks that can dynamically adjust. Big challenges are also vendor-independent configuration and management and an efficient integration with the existing systems to fulfil requirement of industrial applications.

Topics under this track include (but not limited to):

  • 5G based case studies
  • Abstract modelling and mapping of application requirements and technology capabilities
  • Safety and Security with regard to 5G industrial network management systems
  • Future-proof, user-friendly, and dynamic network management concepts for the industrial networks
  • Innovative algorithms and concepts for control of 5G based industrial networks
  • Integration strategies with legacy communication systems
  • Time Sensitive Networking over 5G
  • 5G edge computing and its co-design with the data transport network
  • Concepts of future-proof architectures to support the upcoming 5G implementations

Complete Details

Click here for complete details.

SS 04 - Industrial Cybersecurity Methods and Technologies

Special Session Organized by

Paulo C. Bartolomeu, University of Aveiro, Portugal and Ricardo J. Rodríguez, University of Zaragoza, Spain and Stefano Marrone, University of Campania, Italy

Download Call for Papers

Click here to download the session cfp.

Focus

Industrial cybersecurity has emerged as a key topic of research in recent years due to the massive connectivity brought by the Internet of Things and the rise of cyber-attacks against industrial assets. While fostering contemporary use-cases and applications, the ubiquitous access to the Internet has also exposed legacy operational technologies to new and challenging security threats that need to be addressed. This Special Session focuses on novel security, safety, and privacy-enhancing technologies for existing and future industrial applications, aiming at bringing together researchers, practitioners, and experts from industry that conduct innovative cybersecurity work on related technical fields.

Topics under this track include (but not limited to):

  • Security, safety, or privacy-enhancing technologies in industrial systems
  • Modeling of cybersecurity threats
  • Applications of distributed ledger technologies/blockchains in Industry 4.0
  • Self-sovereign identity for M2M and decentralized device-to-device communication
  • Hardware advances for securing Industrial devices and networks
  • Quantitative evaluation and/or interconnections among non-functional aspects (e.g., reliability vs. safety, security vs. performance)
  • Run-time methods and technologies for Complex Event Detection systems
  • Software engineering methods and techniques for high dependable control systems
  • Case studies / lessons learned of security, safety, or privacy assessments of industrial systems

Complete Details

Click here for complete details.

SS 05 - Fog Computing and IoT

Special Session Organized by

Silviu Craciunas, TTTech, Austria and Xenofon Fafoutis, Technical University of Denmark, Denmark and Alessandro V. Papadopoulos, Mälardalen University, Sweden

Download Call for Papers

Click here to download the session cfp.

Focus

When Cyber-Physical Systems (CPS) become interconnected with each other and with the internet, they form the Internet of Things (IoT), forming “the infrastructure of the information society.” Fog Computing is a “system-level architecture that distributes resources and services of computing, storage, control and networking anywhere along the continuum from Cloud to Things” and is about to tremendously impact the IoT. The objective of this special session is to be a forum for presenting and discussing recent developments and trends in Fog/Edge Computing that represent challenges and opportunities for CPS and IoT researchers and practitioners.

Topics under this track include (but not limited to):

  • Fog Computing Architectures and Frameworks
  • Virtualization and Hypervisors for Fog Computing
  • Middleware for Fog Computing
  • Real-Time and Schedulability Aspects of Fog Computing
  • Formal Methods for Fog Computing Systems
  • Multi-tiered, Novel Resource Management Solutions Involving the Edge/Fog/Cloud
  • Data Centers and Infrastructures for Fog Computing
  • Programming Models and Runtime Systems for Fog Computing
  • Control-as-a-service and Virtualization of Control, Guaranteeing Quality-of-Control
  • Fog Computing Modeling, Analysis, and Performance Evaluation
  • Data Analytics and AI/ML at the Edge
  • Resource-Efficient On-Device Machine Learning
  • Use Cases for / and Applications of Fog Computing
  • Emerging Fog Communication Technologies and Protocols (IEEE Time-Sensitive Networking, 5G)
  • Industrial Wireless Communication Technologies (IEEE 802.15.4 TSCH, 6TiSCH)
  • Fog Computing Security, Data Privacy and Trust
  • Fog Computing Dependability and Safety

Complete Details

Click here for complete details.

SS 06 - Challenges of Machine Learning in Intelligent Technical Systems

Special Session Organized by

Diana Göhringer, Technische Universität Dresden, Germany and Christoph-Alexander Holst, inIT – Institute Industrial IT, Germany and Alexander Maier, Bielefeld University of Applied Sciences, Germany and Anton Pfeifer, inIT – Institute Industrial IT, Germany

Download Call for Papers

Click here to download the session cfp.

Focus

Machine Learning techniques have achieved outstanding performances in numerous computing problems. But the requirements of technical and industrial systems still pose considerable challenges for data-driven machine learning methods. Challenges originate from the imperfectness of data in technical systems resulting in uncertainties, imprecision, conflict, incompleteness, low quality, and sparsity. On the other hand, technical and industrial systems require learners and models which are able to run in real-time, on limited hardware, are interpretable, robust, highly accurate, adaptable, and secure. This special session aims at advancing and enhancing machine learning methods regarding these challenges and requirements. Applications range from, but are not limited to, predictive maintenance and analytics, quality management, product design, assistance systems, optimization, and computer vision.

Topics under this track include (but not limited to):

  • Explainable Machine Learning Models
  • Robust Machine Learning in Light of Uncertain and Error-prone Data
  • Adapting Models in Non-stationary Environments
  • Learning on Streaming Data
  • Machine Learning on Resource-limited Hardware
  • Predictive Maintenance and Remaining Useful Life
  • Information Fusion
  • Cognitive Computing
  • Reinforcement Learning in Industrial Environments

Complete Details

Click here for complete details.

SS 07 - AI and Machine Learning for Safety and Security in Society 5.0

Special Session Organized by

Muhammad Taimoor Khan, School of Computing and Mathematical Sciences, University of Greenwich, UK and Dimitrios Serpanos, Industrial Systems Institute Athena, ECE University of Patras, Greece and Howard Shrobe, MIT CSAIL, USA and Kunio Uchiyama, National Institute of Advanced Industrial Science and Technology (AIST), Japan

Download Call for Papers

Click here to download the session cfp.

Focus

Computing constitutes a fundamental component of the emerging Society 5.0, which combines cyber and physical spaces (i.e., processes) and requires control and monitoring techniques for its operation and management. In Society 5.0, people, things, and systems are connected in cyberspace and operate exploiting automated methods, including machine learning (ML) and artificial intelligence (AI). Such operation and management bring new value to industry and society in ways not previously possible. Typical cyber physical systems (CPS) are based on (I)IoT (Industrial - Internet of Things) and (I)CPS (Industrial - Cyber Physical Systems) and have applications in all critical infrastructure domains with strict real-time requirements, such as healthcare, electric grid, transportation, to name a few. Intentional or accidental errors/failures/attacks to these systems have highly severe consequences. Therefore, novel design methodologies are required to ensure that design of real-time cyber physical systems and applications in the emerging Society 5.0 are free of vulnerabilities, threats and attacks. Since the physical part of CPS involves several processes, typically, it is challenging to ensure that the design is free from all known vulnerabilities. It is necessary to develop run-time monitoring and analysis techniques that can help to detect run-time incidents by observing the processes and their data. Furthermore, adequate modelling of CPS physical processes and corresponding cyber and physical attacks is fundamental to systematically model, analyze and verify real-time security of CPS. Importantly, since AI and machine learning have demonstrated their success in many application areas including cyber security, this special session focuses on investigating AI, machine learning and formal methods-based techniques to develop safe and secure real-time cyber physical systems at all levels, from hardware components to applications.

Topics under this track include (but not limited to):

  • AI and Machine Learning based
  • Safety and security of cyber-physical systems (CPS)
  • Prevention, detection and mitigation techniques for real-time CPS (RT-CPS) applications against cyber and physical threats
  • Hardware design for safe and secure RT-CPS
  • Vulnerability analysis of RT-CPS applications
  • False data injection attacks in RT-CPS applications
  • Performance analysis of RT-CPS security
  • RT-ICS network and communication security
  • Formal methods-based safety and security of critical systems at design-time and run-time
  • Safety and security of citizens in Society 5.0 including pandemics and disasters
  • Impact of pandemic and natural disasters on safety and security of citizens
  • CAD tools for AI-based cyber-physical systems (CPS)
  • CAD tools for safe and secure RT-CPS
  • Benchmarks for security and safety of RT-CPS
  • Challenges in modelling, analysis, safety and security of RT-CPS

Complete Details

Click here for complete details.

SS 08 - Adaptive and Reconfigurable Cyber-Physical Systems

Special Session Organized by

Svetlana Girs, Mälardalen University, Västerås, Sweden and Mohammad Ashjaei, Mälardalen University, Västerås, Sweden

Download Call for Papers

Click here to download the session cfp.

Focus

Adaptive and reconfigurable systems can react to changes in environment, resources or applications by adjusting system parameters and structure. This allows coping with live system updates, dynamic application sets, dynamic requirements/load and variable resources. However, adaptivity and reconfigurability add new requirements and increase complexity. Therefore, all architectural levels must be carefully designed to ensure that overall system requirements are continuously fulfilled. This Special Session focuses on novel ideas and concepts to realize such adaptations and reconfigurations in Cyber Physical Systems (CPS), analyzing tradeoffs between benefits and costs, novel algorithms and experiences with simulation or practical case studies.

Topics under this track include (but not limited to):

  • Adaptive embedded and distributed embedded systems
  • Adaptability and reconfigurability with Software Defined Networking
  • Adaptability via virtualization in networks and computation
  • Reconfiguration in the context of Industrial IoT
  • Wired and wireless networks to support adaptability and reconfigurability
  • Resource allocation/adaptation in cloud and fog computing
  • Middleware for dynamic reconfiguration
  • Probabilistic approaches to reconfigurable systems
  • System architectures for adaptivity and reconfigurability
  • Reconfiguration and self-configuration in Time Sensitive Networks (TSN)
  • Adaptive control in (distributed) embedded systems

Complete Details

Click here for complete details.

SS 09 - Refurbishment and re-manufacturing of machinery in Cyber-Physical Production Systems

Special Session Organized by

Andrea Barni, SUPSI, and Gil Gonçalves, FEUP, and João Reis, FEUP,

Download Call for Papers

Click here to download the session cfp.

Focus

Competitive manufacturing companies continuously increase the effectiveness and efficiency of their production processes and equipment. Refurbishment and re-manufacturing are activities of the circular economy model with purpose to retain the value of products and materials, thus instrumental to extend the useful life of assets and reduce the wasteful use of resources. These two activities, along with health status monitoring, constitute key elements for the re-use and extension of the useful life of industrial equipment. The special session aims at discussing strategies to achieve this objective by focusing on the technological enablers supporting value retention throughout the industrial equipment lifecycle.

Topics under this track include (but not limited to):

  • Big data analytics, predictive analytics, and optimisation models using deep learning techniques, and digital twin models.
  • Models for informed decision about whether trefurbish, remanufacture, upgrade, or repair machinery that is towards its end-of-life.
  • Technologies and strategies tsupport a new paradigm for refurbishment and remanufacturing of industrial equipment in factories.
  • New concepts and strategies for repair and equipment upgrade and factory layouts’ redesign.
  • Optimal refurbishment and re-manufacturing of electromechanical machines and robotics systems.
  • IoT sensors, novel prediction, and process optimisation techniques toffer machine lifetime extension.
  • Innovative fog computing and augmented reality techniques combined with enhanced health monitoring and failure inspection and diagnosis.
  • Approaches for the servicing and upgrading of legacy equipment evaluation and demonstration of approaches in real industrial environments.

Complete Details

Click here for complete details.

SS 10 - People and processes in industrial automation

Special Session Organized by

Tomas Backström, Mälardalen University, Sweden and Lucia Crevani, Mälardalen University, Sweden and Chris Ivory, Anglia Ruskin University, United Kingdom and Inti Lammi, Mälardalen University / Anglia Ruskin University, Sweden / United Kingdom

Download Call for Papers

Click here to download the session cfp.

Focus

The automation systems of industry 4.0 are both entwined with organizational design and work practices while also being dependent on them for their own efficiency. As Brynjolfsson and Mcafee (2016) note, every dollar spent on ICTs requires another 9 dollars be spent on organizational change. Implied in this transformation are newly emerging communities of practice, new job designs, new roles, demands for new skills (social as well as technical) along with changes in the distribution of autonomy and decision making. This special sesion will trace the drivers and directionality of these changes by focusing on the relationship between people and machines.

Topics under this track include (but not limited to):

  • The implementation processes of new digital solutions in industry.
  • Institutionalization of digital work.
  • Consequences of digitization of the production system: implications for the future of work.
  • Leadership in a digital production system.
  • The changing nature of work in an era of digital automation
  • Division of labour between humans and machines
  • Workers future competences in an automated factory
  • Automation as an organizational change process
  • Ethical aspects of automating
  • The material and social dimension of automation and the use of new technologies

Complete Details

Click here for complete details.