T-ASE Editorial Board

Primary Areas: Autonomous Systems, Energy and Power, Discrete Event Systems, Industry 4.0, Modeling and Simulation, Logistics, Optimization, Manufacturing

Secondary Areas: Agents, Artificial Intelligence and Machine Learning, Control Theory, Digital Twins, Home and Building, Game theory, Scheduling and Planning, System Analysis and Design

Secondary: Human-Centered Automation, Mobility and Navigation, Process Control

Primary Areas: Machine learning, statistical models, health care

Secondary Areas: quality and reliability engineering; industrial statistics

 Primary Area: Manufacturing and healthcare system analysis, design, improvement and control.
Secondary Area: Planning and scheduling, supply chain management, energy system.

Primary areas: Industry 4.0, Manufacturing, Logistics, Semiconductor Manufacturing, Robotics

Secondary areas: Human-Centered Automation, Mobility and Navigation, Process Control

Prof. Birgit Vogel-Heuser is Chair Professor of Automation and Information Systems in Mechanical Engineering, Technical University of Munich. She received her Dipl. Ing. degree in electrical engineering in 1987 and her Dr.-Ing. degree in mechanical engineering in 1990 from the RWTH Aachen, Germany. She was involved in industrial automation with the machine and plant manufacturing industry for nearly ten years, including a position as technical director for the Siempelkamp Group. After various professorship positions in Hagen, Wuppertal, and Kassel, she was appointed to the Chair of Automation and Information Systems at TUM in 2009. Currently,   she is in the area of systems and software engineering as well as in the modeling of distributed and reliable embedded systems. Especially, her research foci are put on the challenges that result from the increasing demand to produce customer-specific products in the plant manufacturing domain. Engineering and education on the hybrid process and heterogeneous distributed and intelligent systems using a human-centered approach are also included in her research area. Prof.Vogel-Heuser has over 500 scientific publications and 72 book chapters and she is also an editor of the handbook Industrie 4.0. She is a Senior Member of the IEEE and a member of the National Academy of Science and Engineering (acatech). She serves as the editor of IEEE Transactions on Automation Science and Engineering (IEEE T-ASE) and IFAC Journal of Systems and Control. She was the Keynote speaker of the International Conference on Advanced Robotics and Intelligent Systems (ARIS 2020). She is also a member of various advisory boards, including the advisory board of the VDI/VDE-GMA and the board of trustees of the German Museum.

Talk # 1

Enabling and managing self-x manufacturing systems (for Industry 4.0)

As manufacturing systems need to be more flexible not only due to changed products but also due to crises and short-term changes in supply chains, a mechanism is required to enable this flexibility. Multi-agent systems will be introduced as a successful design paradigm to enable and manage self-x manufacturing systems. The talk will introduce the concept, industrial applications on the field level, and criteria for deciding where to run MAS.

Talk # 2

Forever young automated Production Systems - How can evolution of control software be managed and enable flexibility of automated production systems

To enable the flexibility of long-living automated Production Systems that are already in operation, changes to the control software are often the only feasible option. Consequently, it is necessary to manage variants and versions of control software in relation to its mechanical and electrical hardware and automation platforms of every machine or plant delivered for decades. To facilitate updates in the future, the legacy code should be refactored to achieve a higher degree of modularity and reuse. The talk will introduce the concepts of analyzing legacy code, measuring modularity and code quality, and the challenges of applying product line approaches to control software of automated Production Plants.

Primary Areas: Healthcare systems modelling, analysis and optimization, Healthcare data analytics, Stochastic dynamic programming

Secondary Areas: Discrete event dynamic systems, Simulation optimization, Manufacturing systems analysis and optimization, Production planning and scheduling

Primary Areas: Swarm; Automation at Micro-Nano Scales; Multi-Robot Systems; Micro/Nano Robots; Biologically-Inspired Robots; Biomimetics; Motion Control; Cellular and Modular Robots

Secondary Areas: Assembly; Biological Cell Manipulation; Flexible Robots; Medical Robots and Systems; Soft Robot Applications; Soft Robot Materials and Design; Soft Sensors and Actuators; Natural Machine Motion

Start Date- 1 July 2020

End Date- 30 June 2024

Primary Areas: Discrete Event Systems, Home and Building

Secondary Areas: Modeling and Simulation, Optimization, Energy and Power, Testing and Quality Control

Primary Areas: System Informatics, Statistical machine learning, Reliability, Data mining/analytics, Statistical analysis, Quality control, Diagnosis, and Prognosis

Secondary Areas: Manufacturing, Healthcare, Active learning, Adaptive sampling, Statistical process control

Primary Areas:motion control, motion planning, robotics, machine tool, smart manufacturing, iterative learning control, system identification

Secondary Areas: additive manufacturing, mechatronics, optimization

Primary Areas:supply chain management, service operations, simulation optimization

Secondary Areas:planning and scheduling, optimization heuristics

Primary Areas: Artificial Intelligence and Machine Learning (neural networks; iterative learning control, intelligent control, recurrent neural networks, classification, feature extraction), Control Theory (active disturbance rejection control, distributed control, model predictive control, sliding mode control, control engineering); Human-Centered Automation (assistive robotics, human-computer interaction, human-robot interaction, interaction control, collaborative robotics), Mechatronics (actuators and sensors, compliant actuation, force/tactile sensing, piezoelectric devices), Robotics (multi-robot systems, path planning, robotics tactile systems, telerobotics, wearable haptics).

Secondary Areas: Sensing and networks, manufacturing

Primary Areas: Agents, Digital Twins, Industry 4.0, Manufacturing, Mechatronics

Secondary Areas: Smart Agriculture

Primary Areas: Control Theory, Game theory, Heuristic methods, Modeling and Simulation, Numerical Methods, Optimization, Operations Research, Scheduling and Planning, System Identification and Diagnosis

Secondary Areas: Control Theory, Game theory, Heuristic methods, Modeling and Simulation, Numerical Methods, Optimization, Operations Research, Scheduling and Planning, System Identification and Diagnosis, Industry 4.0, Optimization, Production system modeling and control, Manufacturing systems analysis and optimization

Primary Areas: Artificial intelligence and Machine learning, control theory, game theory, heuristic methods, modeling and simulation, numerical methods, optimization, operations research, scheduling and planning, system identification and diagnosis

Secondary Areas: Autonomous Systems, Industry 4.0, Logistics, Networks, Process Control, Robotics, Safety and Cybersecurity

Primary Areas:System Informatics, Data Analytics, Quality control, Data fusion for System Monitoring, Diagnosis and Prognosis

Secondary Areas:Sensing and Analytics for Manufacturing and Service Applications

Primary Areas:Data Quality, Computation Services, Human-AI Collaboration

Secondary Areas: industrial Internet, Semiconductor Manufacturing, Aerospace Manufacturing, Additive Manufacturing

Primary Areas: Scheduling and Planning, Operations Research, Manufacturing, Semiconductor Manufacturing

Secondary Areas: Aritifical Intelligence and Machine Learning, Optimization, Heuristic Methods, Logistics

Primary Areas: Healthcare management, Healthcare data analytics, Stochastic modeling and optimization

Secondary Areas: Healthcare and Life Sciences

Primary Areas: Manufacturing systems, Scheduling, Algorithm design, Queueing, Optimization

Secondary Areas: Logistics, Smart city, Drone operations, Urban transportation

Primary Areas: Artificial Intelligence and Machine Learning, System Analysis and Design, Human-Centered Automation, Industry 4.0, Robotics

Secondary Areas: Data science, Logistics, Manufacturing

Primary Areas:Statistical learning, quality engineering, manufacturing

Secondary Areas:Healthcare, machine learning, biomedical engineering

Primary Areas:Robot Control, Computer Vision, SLAM, Mobility and Navigation, Deep Learning

Secondary Areas:Service Robot, Mobile Robot, Autonomous Intelligent Systems, Perception, Reinforcement Learning, Manipulator, Medical Imaging

Primary Areas: Optimization, Scheduling and Planning, Logistics, Heuristic Methods, Facility Layout, Bus Scheduling, Timetable Optimization, Production scheduling, Evolutionary Algorithm, Reinforcement Learning

Secondary Areas: Trustworthy Artificial Intelligence, Explainable Artificial Intelligence, Artificial Intelligence and Machine Learning

Primary Areas: Cloud and Fog Automation, Internet of Things (IoT)

Secondary Areas: Agents, Smart Connected Systems

Primary Areas: Optimization, Modeling and Simulation, Game Theory, Control Theory

Secondary Areas: Energy and Power, Home and Building, Industry 4.0, Logistics

Primary areas: Artificial Intelligence and Machine Learning, Computer Vision

Secondary areas: Autonomous Systems, Robotics

Primary Areas: Discrete Event Systems; Digital Twin; Hybrid systems, Machine learning; Industry 4.0; Safety and Cybersecurity; Healthcare; Home and Building; Manufacturing

Primary Areas: System Identification and Diagnosis, Numerical Methods, Artificial Intelligence and Machine Learning 

Secondary Areas: Mobility and Navigation, Networks (Data fusion, sensors fusion, Multisensor systems)

Primary Areas: Robotics; Autonomous Systems; Control Theory

Secondary Areas: System Analysis and Design; Optimization; Aerospace

Primary Areas: Simulation based optimization and control; Cyber Physical Systems

Primary areas: Multi-agent Systems, Model predictive control;  Autonomous vehicles; Networked control systems; Cyber-physical systems

Secondary areas: Fault-tolerant control;  Active disturbance rejection control; Prognostics and health management; Smart Grids

Primary Areas: Agents, Scheduling and Planning, Operations research, and Micro and Nanotechnology

Secondary Areas: Control Theory, Computer Vision, Robotics, Manufacturing, Autonomous Systems

Secondary Areas: Autonomous Systems, Networks, Process Control, Robotics, Testing and Quality Control