TT 01 - Industrial cyber-physical systems and industrial agents

Complete Details

Click here for complete details of the track including the Track's Program committee members.

Focus

This track focuses on cutting edge technologies related to the industrial cyber-physical systems and industrial agents. Industrial cyber-physical systems and industrial agents are the key for enabling autonomous manufacturing in Industrial 4.0 and Industrial Internet. In this track, all industrial CPS and agents related researches will be covered from all perspectives of industrial applications including reference architectures, data models, multi-agent systems, industrial computing and edge computing and much more.

Topics under this track include (but not limited to)
  • Industry 4.0 Technology and Solutions
  • Industrial Digitalization and Networking
  • ICPS Architectures and Reference Models
  • Industrial Data Models ( 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 the ICPS Context
  • Digitalization of Things, Methods and Tools, Digital Twins in ICPS context
  • Cyber-Physical Production Systems and 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
  • Hybrid human-cyber intelligence technologies in smart industry
  • Performance Measures and Benchmarking for ICPS
  • Educating and Learning ICPS in Industrial Informatics context

TT 02 - Artificial intelligence in industrial applications

Complete Details

Click here for complete details of the track including the Track's Program committee members.

Focus

This technical track focuses on current and emerging topics of artificial intelligence that are relevant and important for industrial applications and industrial information technologies. It is aligned to the transformation of industrial informatics from model-based solutions to generative, data-driven solutions that address the challenges of dynamic and non-deterministic digital environments.

Topics under this track include (but not limited to)
  • Machine Learning
    • Deep Learning in industrial applications
    • Hyperdimensional computing for energy efficient machine learning on the Edge
    • Automated machine learning
    • Online learning from data stream
    • Unsupervised machine learning
    • Scalable machine learning
    • Machine learning for multimodal information fusion
    • Interpretability and traceable machine learning
    • Text, image, audio, video and social media analysis in industrial applications
  • Semantic Reasoning and Digital Twins
    • Semantic models for industrial applications
    • Probabilistic reasoning on IoT data
    • Combined reasoning and machine learning in digital twins
    • Context and semantic learning for industrial domain expertise
    • Digital thread models
  • AI methods for making Human-Machine Interaction Intelligent
    • Intelligent human behaviour monitoring in industrial scenarios
  • Optimization and Control
    • Reinforced learning in control
    • Fuzzy based control

TT 03 - Safety and security in industrial applications

Complete Details

Click here for complete details of the track including the Track's Program committee members.

Focus

Industrial processes are often considered critical and hazardous. Any fault and security breach could have serious implications. This track addresses how to ensure safety and integrate security services in industrial applications.

Topics under this track include (but not limited to)
  • Model - based testing of Cyber - Physical Systems
  • Security and Safety for Internet of Things and Cyber - Physical Systems
  • Security and Safety for Industrial Internet
  • Privacy in the (Industrial) Internet of Things and Cyber - Physical Systems
  • 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
  • Secure algorithms and protocols oriented on industrial applications

TT 04 - System and software engineering, runtime intelligence

Complete Details

Click here for complete details of the track including the Track's Program committee members.

Focus

Large and complex Industrial Automation systems have become increasingly dominated by software. We invite novel research in all phases of the system/software development lifecycle with an additional focus on runtime intelligence.

Topics under this track include (but not limited to)
  • 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 industrial 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 paradigms for developing intelligent industrial automation systems, including machine learning/artificial intelligence, and model-based approaches
  • Testing of industrial automation systems-test-driven development, testing strategies, integration and system-level testing, early testing methods
  • Model-checking and verification techniques for industrial automation systems
  • Deployment of industrial automation systems - DevOps, configuration management, dynamic reconfiguration, fault management, diagnostics
  • Hybrid clouds and cloud-edge flexibility in industrial automation systems
  • Fog technologies in intelligent automation systems
  • Runtime monitoring and verification of industrial automation systems
  • Model-driven engineering in intelligent automation systems
  • Product lines and feature-oriented development of industrial automation systems

TT 05 - Robotics and mechatronics in industrial applications

Complete Details

Click here for complete details of the track including the Track's Program committee members.

Focus

The aim of this Track is to gather researchers and practitioners to report on recent achievements and requirements in the development of Robotics and Mechatronics systems in the industrial context, comprising control, path planning, sensing, manipulation and mobile robotics issues.

Topics under this track include (but not limited to)
  • Mechatronics
  • Motion Control
  • Model Predictive Control
  • Path planning and trajectory generation
  • Industrial robots
  • Collaborative robots
  • Robot sensing
  • Intelligent navigation of mobile robots
  • Autonomous vehicles in the industry
  • Unmanned Aerial Vehicles
  • Cognitive Robotics and robot learning
  • Dexterous Robotic Manipulation

TT 06 - Distributed and networked control and automation systems

Complete Details

Click here for complete details of the track including the Track's Program committee members.

Focus

The track focuses on work related to distributed and networked control and automation systems. We encourage submissions from academia and industry related to the topics described below.

Topics under this track include (but not limited to)
  • 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
  • Toolchains, 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
  • Control over Real-Time Ethernet Networks
  • Distributed Architectures for Adaptive Systems
  • Edge/Cloud Computing Architectures for Automation Systems

TT 07 - Industrial digitalization, digital twins in industrial applications

Complete Details

Click here for complete details of the track including the Track's Program committee members.

Focus

The track will focus on research for novel solutions, methodologies, and technologies used in the digitilisation of company processes and workflows, as well as the introduction and use of digital twins in simulations, control, verification and testing. Reports on results and insights gained during the practical application and use of digital twins, as well as efforts to increase company digitilisation, are also welcome.

Topics under this track include (but not limited to)
  • 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
  • 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
  • IoT Infrastructures and technologies for Digital Twin applications
  • Use of Machine Learning in the context of Digital Twins and
  • Industrial Digitalisation
  • Big data in Industrial Digitalisation
  • Application and definition of ontologies for industrial digitalisation
  • Digital twins for brownfield plants and retrofits

TT 08 - Human, computer and machine interaction

Complete Details

Click here for complete details of the track including the Track's Program committee members.

Focus

The Track aims at bringing together researchers and scholars working on all aspects related to the interaction of Humans with Computers and Machines in industrial contexts to exchange and share their experiences and results. To enable the interaction between human, computers, and machines, this special track provides people a platform to discuss and explore frontier issues on topics including the follows.

Topics under this track include (but not limited to)
  • Adaptive interaction
  • Ambient intelligence
  • Autonomous Cars and Vehicles
  • Cyber Security in HSI
  • HSI in Robotics
  • Health Care, Wearable and Assistive Devices
  • Human-centered automation
  • Human factors and human-in-the-loop
  • Human performance and modelling
  • Human-system interaction
  • Sensing and recognition
  • User-centered design

TT 09 - Real-time and networked embedded computing, industrial IoT technologies and applications

Complete Details

Click here for complete details of the track including the Track's Program committee members.

Focus

Real-time systems bring significant challenges and opportunities in embedded computing techniques to speed up industrial and commercial services. The emergence of Internet-of-Things (IoT) – a smart high-level concept of progressing the world through connecting and integrating all things into a huge network - has also been improving the communication efficiency for these services. A networked embedded computing has thus gradually been drawing developers’ attention to be widely applied in abundant applications. This track focuses on models, techniques, methods, analysis and applications that are related to real-time and embedded computing and IoT based networking and technologies.

Topics under this track include (but not limited to)
  • Innovations in real-time capable networks
  • Software Defined Networks (SDN) and Time-Sensitive Networking (TSN)
  • Deterministic IoT technologies
  • Hard Real-time SOA and RESTful industrial communication
  • 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 analysis of location-based systems
  • Verification and validation of distributed embedded applications
  • Security verification of real-time (operating) systems and industrial automation systems
  • Factors influencing latencies in emerging industrial communication systems
  • Combining legacy real-time networks (e.g. CAN) with emerging real-time IP-based networks (TSN, SDN)
  • Blockchain and distributed ledger technologies in networked embedded systems and IoT applications
  • Deep learning technologies for distributed real-time embedded systems
  • Performance analysis (of distributed real-time systems)
  • Emerging real-time operating systems and real-time hypervisors
  • Hard real-time services in edge and cloud
  • Timing and resource analysis of (distributed) resource-constrained AI
  • 5G for industrial applications

TT 10 - Factory automation and communication systems

Complete Details

Click here for complete details of the track including the Track's Program committee members.

Focus

In response to current trends of the Industrial Internet of Things (IIoT), Track 10 covers various aspects of relevance for factory automation and communication systems. Besides topics related to industrial communication (safety and security) and innovative systems architectures bridging operational technology and information technology, specific focus of the track is put on suitable means of examining large and varied data sets originating from automated manufacturing systems as well as novel solutions leveraging the engineering of future automation systems.

Topics under this track include (but not limited to)
  • Automated manufacturing systems
  • Distributed planning and control of industrial systems
  • Security analysis and privacy enforcement in factory automation
  • Service-oriented architectures in factory automation
  • Edge, fog and cloud computing for factory automation
  • Big data and data mining in factory automation
  • Industrial communication systems (wired/wireless)
  • Industrial Internet of Things (IIoT) in Factory Automation
  • Communication in Industry 4.0
  • IT/OT convergence
  • Remote configuration and network management
  • Critical and real time solutions for factory automation and communication systems

TT 11 - Technologies, infrastructures and applications for smart grids, buildings, cities and smart cities

Complete Details

Click here for complete details of the track including the Track's Program committee members.

Focus

Smart Infrastructure is tremendously sophisticated, embracing all people and an enormous number of devices, networks, systems, and applications. The management of the smart infrastructures becomes challenging. In this track, the emerging cyber-physical infrastructure, next generation networks, cybersecurity, machine learning, etc., are interested. Researchers are invited to propose and share contributions in this discipline.

Topics under this track include (but not limited to)
  • City infrastructure, cyber-physical infrastructure
  • Next generation networks, satellite communication and 5G applications
  • Robotics, UAV and smart X applications
  • Edge computing, big Data, analytics, and green computing
  • Energy and buildings, advanced sustainable buildings
  • Smart harbors, smart environment, smart mobility
  • Smart health care, smart hospital, smart elderly
  • Cyber security, blockchain, smart contracts and data privacy
  • Machine learning, data mining and optimization in power and energy systems
  • Emerging technologies in smart energy systems, end-user systems
  • Microgrids, smart and sustainable grids, and virtual power plants
  • Grid resiliency, reliability, stability and protection
  • Interoperability of Energy Technology and Information Technology
  • Demand response system, flexibility, energy markets and New energy services
  • Integration, control, and management of distributed energy resources
  • Energy distribution and controlling system
  • Wide area automation technology in smart city and smart grid
  • Quality of services in smart city and smart grid
  • Simulation, evaluation, and optimization of energy systems

TT 12 - Education in engineering and industrial informatics

Complete Details

Click here for complete details of the track including the Track's Program committee members.

Focus

Over these recent years, the use of new methodologies, some of them relying on advanced ICTs, has proliferated in the educational area within different engineering fields. The aim of this special session is to attract papers describing new applications of ICTs to the teaching in the electrical & electronics area. The applications may affect theoretical lectures, laboratory sessions, student assessment or other aspects related to educational tasks in the referred area.

Topics under this track include (but not limited to)
  • Educational Tools
  • Continuous Learning
  • Distance Learning (E-learning)
  • Remote e-learning (remote laboratories)
  • Internet applications
  • Online courses
  • Educational Materials and Methods
  • Information and Communication Technologies in Laboratories
  • Education and smart devices
  • Education and social networks
  • University-Industry Collaboration
  • Educational mitigation solutions in global crisis scenario

TT 13 - Industrial informatics tools

Complete Details

Click here for complete details of the track including the Track's Program committee members.

Focus

In recent years, we have been witnessing rapid changes in the industrial environment driven by disruptive advances in informatics, artificial intelligence, automation and control technologies. These advances are creating the need and opportunity for innovative engineering tools and methods to better-support the realisation of smart industries. The timely, well-integrated handling and processing of information is the key to the realisation of smarter industrial environments. Achieving this requires powerful, user-friendly, tools that can manage complex and sometimes cross-domain industrial applications integrating multi-disciplinary knowledge. This Technical Track invites papers showing such developments, e.g., tools that can simplify engineering tasks, provide new insights into system modelling, improve the representation, processing, analysis or exchange of information at various lifecycle phases and operational levels in industrial systems. Submitted papers should clearly state, show and compare the benefits of the described tool (or tools) in comparison to the state of the art. A user-centric perspective should be adopted when describing tools, so that the role of and benefit to the user is clearly explained, e.g. detailing the application engineering approach and explaining how this aids the user and/or system productivity.

Topics under this track include (but not limited to)
  • 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 visualization

TT 14 - Intelligent finance

Complete Details

Click here for complete details of the track including the Track's Program committee members.

Focus

Global financial markets are becoming more and more intelligent and complex. Intelligent Finance is the ‘brain’ of FinTechs that has been transforming the Wall Street with computational intelligence models and tools with unprecedented surprises. This particular track on Intelligent Finance in IEEE INDIN’2021 provides an international forum for exchanging ideas and advances in intelligent finance and FinTechs for interdisciplinary financial scholars, researchers, engineers, practitioners and decision makers in financial industry.

Topics under this track include (but not limited to)
  • Overview on Frontiers of Intelligent Finance and FinTechs
  • Financial Market Predictive Analysis, Modeling and Monitoring
  • Global Macro-Economic Analysis, Modeling and Monitoring
  • Quantitative Investment and Intelligent Trading
  • Financial Business Intelligence and FinTechs
  • Financial Risk Modeling and Management
  • Leading-Edge Intelligent Finance Systems
  • Big Data in Finance and Business
  • Intelligent Accounting and Business
  • Real Estate Investment Trusts (REITs)
  • Remote Sensing Finance and Economics
  • Digital Economy
  • Intelligent Economy
  • Intelligent Society
  • Community of Shared Future for Mankind