Chaired by: Luis Ribeiro; Jinhua She; Marga Marcos Munos Munos; Shiyan Hu

• Industry 4.0 Technology and Solutions
• Industrial Digitalization and Networking.
• ICPS Architectures and Reference Models
• Industrial Data Transport Technologies and Data Model (MQTT, OPC-UA, TSN and OPC-UA, AutML, PackML, B2MML, OPC-UA ML)
• ICPS Engineering Life Cycle
• Multi-Agent Systems in Industry
• Industrial Internet of Things (IIoT), Industrial Internet of Services (IIoS), Service Oriented Architectures
• Connectivity and Interoperability in Edge-Cloud infrastructures
• Artificial Intelligence in ICPS Context
• Data Science and Big Data in ICPS Context
• Digitalization of Things, Methods and Tools, Digital Twins in ICPS context
• Cyber-Physical Production Systems and Physical Agents in Industry
• CPS Privacy, Fault Tolerance, and Security. Industrial Cyber-Security and Cyber-Safety for Industrial Cyber-Physical Systems
• CPS Synthesis and Verification
• Machine Learning in an ICPS context
• Human Factors in ICPS
• Performance Measures and Benchmarking for ICPS
• Educating and Learning ICPS in Industrial Informatics context.

Chaired by: Daswin Da Silva; Joern Ploennigs; Bin Zhang; Jiayi Zhang

• Machine Learning (ML)
• Automated Machine Learning (AutoML)
• Deep Learning in Industrial Applications
• Online learning from streaming data
• Unsupervised machine learning for industrial scenarios.
• Machine learning on Embedded Devices on the Edge
• Scalable machine learning
• Machine learning for multimodal information fusion
• Interoperability and traceable ML
• Text, image, audio, video and social media analysis in industrial applications
• Semantic Reasoning and Digital Twins
• Semantic Models for Industrial Applications
• Reasoning on IoT data
• Combined Reasoning and Machine Learning in Digital Twins
• Context and semantic learning for industrial domain expertise
• Digital Thread Models
• Human Machine Interaction
• Intelligent human behaviour monitoring in industrial scenarios
• Intelligent human machine interaction in industrial scenarios
• Intelligent techniques for active perception
• Intelligent user profiling and modelling for industrial applications
• Optimization and Control
• Reinforced learning in Control
• Model-Predictive Control
• Fuzzy-based control

Chaired by: Gerhard Hancke; Mario Sousa; Hao Wang; Kim Fung Tsang

• Model - based testing of Cyber - Physical Systems
• Security and Privacy for Internet of Things and Cyber - Physical Systems
• Security and Privacy for Industrial Internet
• Security protocols and efficient cryptographic implementation
• Secure device and key management
• Secure and timely processing and storage of industrial process data
• Case studies on security designs or cyberattacks
• Formalised threat models and attack scenarios
• Anomaly and intrusion detection for industrial systems
• Hardware and embedded device security
• Industrial communication / network security
• Standards for development of Safety related Industrial Software
• Human factors in safety applications
• Case studies of safety related software applications
• Evaluation and Estimation of software reliability and safety
• Use of formal methods in developing and evaluation of safety related applications
• Programming Languages for safety related applications
• Engineering Tools for development and evaluation of safety related applications
• Development Methodologies for safety related applications

Chaired by: Jiayi Zhang; David Hästbacka; Jose Barata; Wenbin(William) Dai

• Requirements engineering - elicitation, specification, analysis, management
• System architectures for industrial automation systems
• Software architectures for industrial automation systems
• Application - level or reference architectures for sub - domains like factory, building, packaging and production systems
• Design - level concerns and strategies for industrial automation systems
• Development of software including tools, patterns and processes
• Co - design and development of hardware - software aspects of industrial automation systems
• Context - aware industrial automation systems - design and development
• All aspects of developing intelligent industrial automation systems, including agent - oriented, machine learning / artificial intelligence approaches
• Testing of industrial automation systems - test - driven development, testing strategies, integration and system - level testing, early testing methods
• Deployment of industrial automation systems - DevOps, configuration management, product lines, dynamic reconfiguration, fault management, diagnostics
• Runtime monitoring and verification of industrial automation systems
• Multi - Agent Systems as applied to industrial automation systems
• Model driven engineering in intelligent automation systems
• Fog technologies in intelligent automation systems

Chaired by: Hiroaki Nishi; Yasutaka Fujimoto; Kanghyun Jo; Chengbin Ma

• Mechatronics
• Motion Control
• Model Predictive Control
• Trajectory Generation
• Path Planning
• Industrial Robots
• Mobile Platform
• Aerial Drone
• Collaborative robots
• Autonomous vehicles in industry

Chaired by: Andre Rocha; Omar Lopez Orozco; Mingxi Liu

• Model Driven Development and its application to automation systems (UML, SysML, ...)
• Domain Specific Modeling and Programming Languages (IEC 61131, IEC 61499, ...)
• IT Modeling Techniques(Object - Orientation, Components, Agents, Service Oriented Architectures,...) for Automation Systems
• Tool Chains, Platforms, and Frameworks for Software Design and Development
• Web - of - Things for monitoring and control
• Performance Analysis
• System Design and Architecture
• Self - Configurable and self - recovery Systems
• Application of Real - Time Ethernet Networks
• Cyber Physical Systems
• Application of Service - Oriented Architectures
• Distributed Architectures for Adaptive Systems
• Edge Computing Architectures for Automation Systems

Chaired by: Evgeny Yablochnikov; Seppo Sierla; Dietmar Bruckner; Stmatis Karnouskos

• Technologies and Standards for Digitalisation and Digital Twins
• Digital Twin Applications and Technologies
• Simulations and Digital Twins
• Verification and Testing with the help of Digital Twins
• Digital Twins in the context of Virtual and Augmented Reality
• Cloud / Edge Industrial Data Analytics
• IoT Infrastructures for Machine Learning and Data Science
• Migration of technologies and industry systems
• Digitalisation Tools and Technologies
• Empirical Use-Cases
• Challenges, visions and roadmaps for industrial digitalisation
• Digital Transformation Strategies, Change Management & Education

Chaired by: Milos Manic; Igor Doric; Bingo Ling

• Artificial Intelligence and Deep Learning
• Autonomous Cars and Vehicles
• Cyber Security in HSI
• Robots and HSI in Robotics
• Cyber Physical Systems
• Internet of Things and Smart Homes
• Health Care and Assistive Devices
• Wearable Devices, Networks and Systems
• Aging
• Ambient intelligence
• Human performance and modelling
• Human - system interaction
• Sensing and recognition
• User - centered design
• Human factors and human - in - the - loop
• Human - centered automation
• Adaptive interaction
• User profiling
• Technology acceptance

Chaired by: Minghua Xia, Zheng Liu;Farhad Shahnia; Jerker Delsing

• Innovations in real - time capable networks
• Real - Time Performance of Industrial IoT Technologies
• Software - defined networks(SDN) and Time - sensitive Networks(TSN)
• Deterministic IoT technologies
• Hard Real - Time SOA and RESTful industrial communication
• Schedulability analysis
• Calculating and estimating worst -case execution time and response time
• Real - time issues of distributed control in industrial cyber - physical systems
• Industrial IoT protocols (OPC UA, DDS, MQTT, AMQP, COAP, IEEE 11073 SDC…)
• Real - time performance of localisation systems and location - based systems
• Verification and validation of distributed embedded applications
• Real - time hypervisor
• Security verification of real - time(operating) systems and industrial automation systems
• Network and system security of industrial communication networks
• Distributed control via industrial communication networks
• Factors influencing latencies in emerging industrial communication networks
• Real - Time wireless mesh networks
• Combining legacy real - time networks (e . g . CAN) with emerging real - time IP - based networks (TSN, SDN)
• Block Chain and distributed ledger technologies in networked embedded systems and IoT applications
• Deep learning technologies for distributed real - time embedded systems

Chaired by: Martin Wollschlager; Mussawar Ahmad; Borja Ramis; Thomas Bangemann; Gaetano Patti

• Automated Manufacturing Systems
• Distributed Planning and Control of Industrial Systems
• Security Analysis and Privacy Enforcement in factory automation
• Agents vs . service oriented systems in factory automation
• Cloud computing for factory automation
• Big data and data mining in factory automation
• Industrial Ethernet networks
• Industrial wireless networks
• Fieldbus networks
• Industrial Internet of Things(IIoT)
• Industry 4.0 compliant communication systems
• Remote configuration and network management
• Critical and real time solutions for factory automation and communication systems
• Industrial Cybersecurity and Cybersafety for industrial communications and control

Chaired by: Pierluigi Siano; Andrea Benigni; Thomas Strasser; Federico Baronti; Kan Yu

• Interoperability of Energy Technology and Information Technology
• Demand response system / Power grid / Power markets / New energy services
• Smart city infrastructure / New smart city services
• Integration, control, and management of distributed energy resources
• Micro-Grids / Smart grids / Smart infrastructures
• Energy distribution and controlling system
• Wide area automation technology in smart city and smart grid
• Integration of smart city infrastructures
• Data interaction between smart city infrastructures
• Quality of services in smart city and smart grid
• Management and application of data captured by energy system
• Simulation, evaluation, and optimization of energy systems
• End -use applications and loads of energy
• Community data privacy and security
• Data science in Smart community and Smart grid
• Smart mobility (e.g . parking, car sharing, …)
• Smart buildings and how they interact with other parts of the city
• Interoperability between different systems and domains in the city
• Avoidance of vendor lock - in and cost of implementation and maintenance

Chaired by: Freeha Azmat; Andrea Matta; Joao Martins; Juho Mäkiö

• Educational Tools
• Continuous Learning
• Distance Learning
• Remote e - learning
• Internet applications
• Online courses
• Educational Materials and Methods
• Information and Communication Technologies in Laboratories
• Education and smart devices
• Sustainable development ICT aspects
• Education and social networks
• University - Industry Collaboration

Chaired by: Ricardo Peres; Andrei Lobov; Radmehr Monfared

• Tools to support specific methods proving that without given tool(s) an application of a given method will be difficult
• Tools to support vertical and/or horizontal integration of systems and/or enterprises
• Tools to support product and/or system lifecycle management
• Tools for complex cross - domain systems
• Tools for data / information exchange and integration
• Tools for data acquisition, processing, analysis and visualisation

Chaired by: Heping Pan; Jianwu Lin; George Yuan;Ahmet Goncu;Arthur Berd; Yimin Yang