22nd IEEE International Conference on
Emerging Technologies And Factory Automation
September 12-15, 2017, Limassol, Cyprus

Tracks / Topics

Topics within the scope of the conference include:

Track 1 - Information Technology in Automation

Track Co-Chairs:

Valeriy Vyatkin
Luleå University of Technology, Sweden & Aalto University, Finland
Alois Zoitl
fortiss GmbH, Munich, Germany

Focus: Track on Information Technology in Automation is focused on the development, adoption and application of information technology for automation systems.

Topics: IT Modeling Techniques (e.g., Object-Orientation, Components, Agents, Services) for Automation Systems. Model-driven Development and Model Based Engineering in Automation and Mechatronic Systems (e.g., UML, SysML). Data Modeling (e.g. CAEX, AutomationML, OPC UA, ISO 15926) along the Plant Life Cycle and according integration methods for engineering tools. Domain Specific Modeling and Programming Languages (e.g. IEC 61131, IEC 61499). Knowledge-Based Systems, Ontologies and Semantic Web in Automation Systems. IT Architecture techniques (e.g. Virtualization, Cloud computing, Big Data) in Automation Systems. Vertical Integration, integration with MES and ERP Systems (Databases, Semantic Web Services). Engineering Methods for Distributed Automation Systems, Industrial Internet of Things and Cyber-Physical Systems. Software Reuse, Software Product Lines, agile software development, and other Software Engineering Methods in Automation. Simulation-driven engineering, virtual commissioning, model-checking, runtime verification and other advanced testing methods for control software and/or automation systems. Dynamically Reconfigurable, Adaptive, and Emergent Automation Software/Systems. Security and Safety in Factory, Energy, Home and Building Automation. Interoperability solutions for Smart Manufacturing. Real-Time platforms for automation. Product Life-Cycle Management Systems. Case Studies and Application Reports especially from: (1) Digital Factory, Smart Manufacturing, Web-of-Things in the Factory Line; (2) Home and Building Automation (3) Renewable Energy Systems and Smart Grids (Production and Integration). Emerging topics in software and systems engineering in automation.

Track 2 - Industrial Communication Technologies and Systems

Track Co-Chairs:

Paulo Pedreiras
University of Aveiro, Portugal
Claudio Zunino

Focus: The focus of the Track on Industrial Communication Technologies and Systems is 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. Original contributions in these areas are solicited.

Topics: Industrial Ethernet networks. Industrial wireless networks. Fieldbus networks. Factory and process automation networks. Automotive, train, and avionic networks. Home and building automation networks. Power-system automation networks. Smart grids and power-line communications. IP- based and web-based industrial communications. Integration and interoperability of automation networks. Middleware for industrial communications and decentralized control. Software Defined Networks. Software-defined 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. Security and safety 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. Message schedulability analysis. Quality of Service (QoS) and performance indexes.

Track 3 - Real-Time and (Networked) Embedded Systems [RTNES]

Track Co-Chairs:

Moris Behnam
Mälardalen University, Sweden
Ahlem Mifdaoui
Université de Toulouse, France

Focus: Embedded systems are increasingly used to realize complex functionality, distributed intelligence and adaptive behavior. New functions can be deployed taking advantage of ubiquitous connectivity and networks. The design of these systems must cope with the need to manage functional complexity together with real-time, power and reliability constraints. This year a special attention will be given to papers that target RTNES issues for Industrial Internet of Things IIoT and cloud computing domains.

Topics: (1) Theory and technology in RTNES: Real-Time Computing, Operating Systems and Communications; Networked Embedded Systems technology; Parallel and Distributed Embedded Systems; Multi/Many-Core Embedded Systems; Timing and Schedulability Analysis; Wireless Sensor Networks; Cyber Physical Systems. (2) Design and Methods in RTNES: Design and Implementation; Design Methodologies and Tools; Components and Platforms; Models of Computation and Formal Methods; Hardware/Software Co- Design; Verification and Validation Methods. (3) Architectures in RTNES: Distributed and System-on-Chip Architectures including Communication and NoC Architecture Designs and Protocols; Static and Dynamic Reconfigurable RT Systems; Context-Aware Applications and Self-Adaptive Architectures. (4) Algorithms and Control in RTNES: Energy Management; Data Integration and Fusion; Communication Modes; Quality of Service Control; Compensation Mechanisms for Aging and Temperature; Fault-Tolerant Systems. (5) Case Studies in RTNES: Industrial Automation, Automotive, Avionics, Communications, e-Health and Building Automation Systems.

Track 4 - Automated Manufacturing Systems

Track Co-Chairs:

Carla Seatzu
University of Cagliari, Italy
Michael Weyrich
University of Stuttgart, Germany

Focus: This track focuses on the use of techniques and technologies for the modeling, analysis, intelligent control, and enterprise integration of automated manufacturing systems.

Topics: Synthesis and Analysis Techniques; Performance Evaluation and reliability; Scheduling, resource Allocation, Queueing Systems and Petri Nets in Manufacturing Systems; Formal Modeling and Analysis of Manufacturing Systems; Fault Diagnosis, State-Estimation, and Identification; Networked Control of Manufacturing Systems; Planning and Distributed Control of Mobile Robots; Formal Methods and Verification Tools; Security Analysis and Privacy Enforcement; Discrete and Continuous Industrial Automation Systems; Automated Manufacturing Systems and Enterprise Integration; Application of Service-Oriented Technologies; Test Cases, Benchmarks and Tools; Applications and Experiences in Practice; Recent Developments in Standardization.

Track 5 - Industrial Control

Track Co-Chairs:

Ramon Vilanova
Universitat Autònoma Barcelona, Spain
Antonio Visioli
Univ. of Brescia, Italy

Focus: This track focuses 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: Process Monitoring and Control; Equipment Monitoring and Control; Supervisory Control; Intelligent Control; Fault Detection and Management; Process Modeling and Optimization; Control Performance Assessment; Industrial Control Applications; Large-Scale Systems; Computer Implementation of Control Systems; Co-Design of Control, Computing and Communication; Co-Design of Diagnosis and Dependability; Safety Issues in Industrial Control; Environmental Implications of Control Systems.

Track 6 - Computer Vision, Computational Intelligence, and Modern Heuristics in Automation

Track Co-Chairs:

Javier Civera
University of Zaragoza, Spain
Bernard Grabot
National Engineering School of Tarbes, France

Focus of the Track: The Track on Computer Vision, Computational Intelligence, and Modern Heuristics in Automation aims at bringing together researchers interested in computer vision, object detection and recognition, intelligence computational techniques and modern meta-heuristics developed for automation and industrial applications, as well as to present current research results and to share their experience.

Topics: Computer vision systems in science, technology and industrial applications; Machine vision technology for flexible factory automation; Intelligent Systems and Control, Modern Heuristics, and Data Mining in Automation and Industrial Applications; Neural/Fuzzy/Evolutionary approaches in automation; Modern heuristics methods in factory automation based on predictive, adaptive control, recognition, navigation, motion control, competitive, self-organizing learning, and clustering; Computational intelligence in security, reliability, and fault-tolerance in automation; Ant colonies optimization and swarm intelligence in automation; Automotive intelligent systems; Expert systems in automation; Hardware optimization based on computational intelligence techniques; Expert systems for industrial applications.

Track 7 - Intelligent Robots & Systems

Track Co-Chairs:

Raul Suarez
Universitat Politècnica de Catalunya, Spain
Sebastian Zug
Otto-von-Guericke-Universität Magdeburg, Germany

Focus: The aim of the Track on “Intelligent Robots and Systems” is to gather researchers and practitioners to report on recent achievements and on requirements in the development of real-world robotic applications, robot prototypes, intelligent embedded systems, robot programming, applications of artificial intelligence, cognitive science and signal processing in robotics, as well as benchmarking and usability studies. Papers shall explicitly put their contribution into the context of technology readiness levels (definition of TRLs as in the H2020 work program). Authors need to explain which raise of a TRL their contribution enables.

Topics: Navigation, Control and Manipulation for Intelligent Robots and Systems; Cognitive Robotics; Cooperative and Collaborative Robotics; Perception, Environment Description and Map Building; Human-Robot Interaction; Integrated Intelligence; Intelligent Robot Assistants; Intelligent Embedded Systems; Multi-Agent Systems and Distributed Robotics Architectures; Path Planning and Collision Avoidance; Sustainable Robotics and Applications; Robot Programming; Mobile Manipulation; Network Robotics; Training and Education in Industrial Robotics; Advanced Sensors and Vision Systems in Robotics; Robot Learning; Simulation and Models for Robotics; Advanced Applications of Autonomous Robots; Supervision, Planning and Failure Recovery.

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

Track Co-Chairs:

Michael Short
Teesside University, UK
Weilian Su
Naval Postgraduate School, Monterey, CA, USA

Focus: This track focuses 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 focuses 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: Novel components, devices and architectures for networked sensing; Network and system architectures; Communication protocols for sensor networks; Network health monitoring, QoS management and dependability; Detection, classification, tracking, reasoning and decision making; Sensor data processing, data mining, informatics and machine learning; (distributed) Signal processing and data analytics; Energy harvesting in sensor networks; Sensor tasking and actuation, wireless control and automation systems; Sensor network applications, deployment experiences and case studies (home and building automation, smart factories, smart grid, healthcare); Sensor network modelling, simulation, measurements, and analysis; Security analysis and protocols.

Track 9 - Complex Engineering Systems and Systems Engineering

Track Co-Chairs:

Athanasios Kalogeras
Industrial Systems Institute, Research Center Athena, Greece
Luca Ferrarini
Politecnico di Milano, Italy

Focus: The focus of the Track on Complex Engineering Systems and Systems Engineering is on the system level design of complex engineering systems, such as industrial Cyber Physical Systems, towards attaining functional requirements and predictable performance.

Topics: Systems Engineering, Systems-of-Systems Engineering, Systems Architecture , Complex Systems, Structural and Dynamic Complexity, Cyber-Physical Systems, Cyber Security, Distributed Adaptive and Predictive Intelligent Real Time Feedback Systems, Cloud Computing & Manufacturing, Humans in the Loop, Modeling & Simulation, Model-Based Systems Engineering, Metamodeling, Model Driven Integration & Interoperability, Systems Integration & Verification, Decision-making for Complex Systems, Scalability and Complexity Management, Modularity and Composability, Autonomous Systems, Fault Diagnosis, Prediction and Tolerance, Large-Scale Systems Integration, Diverse industrial application areas: factory and process automation, automotive applications, avionics, robotics, transportation systems, urban automation and systems, energy systems, health systems, military logistic systems, etc.

Track 10 - Cyber-Physical Systems and Smart Networked Systems

Track Co-Chairs:

Frank Golatowski
University of Rostock, Germany
Oliver Niggemann
Institut für industrielle Informationstechnik,
Hochschule Ostwestfalen-Lippe, Germany

Focus: Focus of this track are 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: Distributed Architectures for Adaptive Systems; Autonomous Cyber-Physical Systems; Self-Adaption and Self-Organization for Smart Factories, Smart Cities, Smart Buildings and Smart Energy; Learning and Self-Optimizing Cyber-Physical Systems.