Tracks / Topics
Topics within the scope of the conference include:
Track 1 - Information Technology in Automation
Track Co-Chairs:Georg Frey, Saarland University, Germany - firstname.lastname@example.org
Alois Zoitl, fortiss GmbH, TUM, München, Germany - email@example.com
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. 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). Energy Management in and by Automated Systems. Engineering Methods for Distributed Automation Systems and Cyber-Physical Systems. Software Reuse, Software Product Lines, and other Software Engineering Methods in Automation. Agile software development in Automation. Dynamically Reconfigurable, Adaptive, and Emergent Automation Software/Systems. Security and Safety in Factory, Energy, Home and Building Automation. 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).
Track 2 - Industrial Communication Technologies and Systems
Track Co-Chairs:Gianluca Cena, CNR-IEIIT, Torino, Italy - firstname.lastname@example.org
Stig Petersen, SINTEF ICT, Trondheim, Norway - Stig.Petersen@sintef.no
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. Wireless instrumentation and wireless sensor networks. Mesh, relay, and multi-hop industrial networks. Software-defined and cognitive radio networks. Power-system automation networks. Integration of automation networks. Smart grids and power-line communications. IP-based and web-based industrial communications. Machine-to-machine (M2M) communications Event-driven and time-triggered communications. Security and safety in industrial communications. Dependability and fault tolerance in industrial communications. Middleware for industrial communications. Middleware for decentralized control. Industrial Internet of Things (IioT). Remote configuration and network management. Real-time communication and precise synchronization. Quality of Service (QoS) and performance indexes. Message schedulability analysis. Cyber-physical and networked control systems. Wireless coexistence and spectrum-sharing . Radio resource management in industrial environments. Internetworking and interoperability. Industrial communication case studies
Track 3 - Real-Time and (Networked) Embedded Systems [RTNES]
Track Co-Chairs:Marko Bertogna, University of Modena, Italy - email@example.com
Ahlem Mifdaoui, Univ. of Toulouse, France - firstname.lastname@example.org
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.
(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 Selt-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:Christoforos Hadjicostis, Univ. of Cyprus, Cyprus - email@example.com
Cristian Mahulea, Univ. of Zaragoza, Spain - firstname.lastname@example.org
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 in Healthcare Systems; 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, Univ. Autònoma de Barcelona, Spain - email@example.com
Antonio Visioli, Univ. of Brescia, Italy - firstname.lastname@example.org
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:Boguslaw Cyganek, AGH Univ. of Science & Tech., Krakow, Poland - email@example.com
David Naso, Univ. of Bari, Italy - firstname.lastname@example.org
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:Marina Indri, Politecnico di Torino, Italy - email@example.com
Christian Schlegel, Hochschule Ulm, Germany - firstname.lastname@example.org
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:Paul Havinga, Univ. of Twente, The Netherlands - email@example.com
Marek Miskowicz, AGH Univ. of Sc. & Tech., Krakow, Poland - firstname.lastname@example.org
Focus: This track specifically focuses on the use of smart sensor technologies and processing for monitoring and analysis of industrial automation and factory systems. The track focuses on the architecture, design, evaluation, implementation, and performance of networked embedded sensor systems.
Topics: Novel components, devices and architectures for networked sensing; Network and system architectures and protocols; Network health monitoring and management; Detection, classification, tracking, reasoning, and decision making; Sensor data processing, mining, and machine learning; (distributed) signal processing; Energy harvested systems; Sensor tasking, control, and actuation; Innovative applications and deployment experiences; System modeling, simulation, measurements, and analysis.
Track 9 - Information and Communication Technology in Energy Systems
Track Co-Chairs:Anna Magdalena Kosek, Technical University of Denmark, Denmark - email@example.com
Thomas Strasser, Austrian Institute of Technology, Austria - Thomas.Strasser@ait.ac.at
Focus: The power and energy domain is experiencing a major change in terms of operation and planning. The advancement into a Smart Grid produces new challenges. With the introduction of distributed generation (e.g. photovoltaic, wind) and controllable/flexible loads (e.g. electrical vehicles, storages) new advanced information and communication technology as well as automation and control methods are required in order to cope with these new challenges. This track is therefore focused on the development, adoption and application of information technology for energy and power systems (Smart Grids).
Topics: Intelligent automation and control architectures (e.g. Multi-Agent-Systems); Fault location/isolation/service restoration (e.g. self-healing system); Power system modeling and optimization; Advanced information and communication systems; Modeling and simulation of Smart Grid components and systems; Model/Software/Hardware-In-The-Loop experiments for smart grid applications; Operation and control of active distribution grids and dispersed generation with strong focus on scalability and replicability; ICT Interoperability and standardization-related topics for Smart Grids; Application of Smart Grid related standards (e.g., CIM, IEC 61850, OPC UA, IEC 61499) ; SCADA systems of operation of power distribution grids and micro grids; Recent developments in SCADA and distributed control technology; Security and privacy in Smart Grids; Home and Building Automation and Renewable Energy Systems; New roles, services and business models for distribution systems (incl. regulatory framework and interaction with transmission system operation)