Anna Syberfeldt
Professor of Production Engineering
School of Engineering Science
Room PA220R
Anna Syberfeldt is a professor in production technology and leads the Virtual Production Development research group. Her research focuses on developing innovative solutions for industry through the use of AI, robotics, digital twins, simulation, optimization, and augmented/virtual/mixed reality technologies. She works closely with industry, particularly in the manufacturing sector, to improve production systems and increase automation. Anna leads a number of research projects and is also a research leader at the ASSAR Industrial Innovation Arena. She is an Associate Professor of Automation Engineering and holds her PhD in Computer Science from De Montfort University.
Research
Publications
Projects
2024
Procedia Computer Science
2024. Article.
https://doi.org/10.1016/j.procs.2024.01.104
Sustainable Production through Advanced Manufacturing, Intelligent Automation and Work Integrated Learning: Proceedings of the 11th Swedish Production Symposium (SPS2024)
2024. Conference paper.
https://doi.org/10.3233/ATDE240164
Sustainable Production through Advanced Manufacturing, Intelligent Automation and Work Integrated Learning: Proceedings of the 11th Swedish Production Symposium (SPS2024)
2024. Conference paper.
https://doi.org/10.3233/ATDE240171
Procedia Computer Science
2024. Article.
https://doi.org/10.1016/j.procs.2024.01.064
Sustainable Production through Advanced Manufacturing, Intelligent Automation and Work Integrated Learning: Proceedings of the 11th Swedish Production Symposium (SPS2024)
2024. Conference paper.
https://doi.org/10.3233/ATDE240173
International Journal of Human Factors and Ergonomics
2024. Article.
https://doi.org/10.1504/ijhfe.2024.143861
Advanced Engineering Informatics
2024. Article.
https://doi.org/10.1016/j.aei.2024.102726
IISE Transactions on Occupational Ergonomics and Human Factors
2024. Article.
https://doi.org/10.1080/24725838.2024.2362726
Integration and Evaluation of a Digital Support Function for Space Claims in Factory Layout Planning
Processes
2024. Article.
https://doi.org/10.3390/pr12112379
Production & Manufacturing Research
2024. Article.
https://doi.org/10.1080/21693277.2024.2323484
2023
2022
2021
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2005
Ongoing projects
Port Microgrid
By optimising microgrid design and sizing, it aims to improve efficiency, reduce emissions, and enhance the operational resilience of ports, offering a cost-effective, sustainable solution for cleaner energy systems in port environments.
November 2024 - November 2027 Virtual EngineeringVirtual Factories of the Future
Virtual factories with knowledge-driven optimization (VF-KDO) is an eight-year research profile that is being coordinated by the University of Skövde. Research within this profile aims to help strengthen the competitiveness of Swedish industry.
October 2018 - September 2026 Virtual EngineeringShiftLabs - Services for Digital Transformation
ShiftLabs supports small and medium-sized manufacturing companies in adopting new digital technologies. The initiative aims to strengthen Swedish manufacturing by pooling resources and expertise within regional technology centres to enhance and expand services for the manufacturing industry.
January 2023 - December 2025 Virtual EngineeringFinished projects
Digital Models to Develop the Energy Systems of the Future
To break the dependence on fossil fuels and reduce greenhouse gas emissions, society needs to transition to renewable electricity. For this transition to be feasible, existing energy systems must be developed. This is a complex task involving multiple stakeholders.
June 2022 - November 2024 Virtual EngineeringREWIND - for circularity and sustainable production
To remain competitive on the global market, industry is continuously improving economic, social and environmental performance. The REWIND project seeks to take advantage of current industrial trends in digitalisation and sustainability. Capitalising on the expertise of the academic and industrial partners, the consortium will make use of digital technologies, assessment methods, strategic planning tools and materials research to realise opportunities towards a circular economy.
March 2019 - February 2022 Virtual EngineeringMOSIM
Project vision is an open modular framework for efficient and interactive simulation and analysis of realistic human motions for professional applications. Within the European economy, digital modelling activities and the simulation of human motion in particular, have emerged during the last decades in various domains ranging from automotive and truck over healthcare, construction and pedestrian simulation to the gaming industry.
September 2018 - December 2021 Virtual EngineeringAutoinspect - automating the quality inspection of metal components
Since inspecting the quality of die-cast and hot-pressed metal components is mostly done manually, increased automation in this step would substantially increase the competitiveness of die-casting foundries and hot-pressed metal component manufacturers. The project therefore intends to develop, test, and evaluate vision systems for automating the quality inspection of die-cast and hot-pressed metal components.
November 2018 - November 2020 Virtual EngineeringVision system for automated quality inspection
Vision systems for quality inspections in production processes have existed for a long time, but are currently used only to a limited extent and then primarily within manual assembly lines. Within the VISION project, we aim to develop a low-cost, high-performing vision system for automated quality inspections in assembly lines based on cheap hardware and state-of-the-art machine learning algorithms for real-time image processing.
April 2018 - November 2020 Virtual EngineeringIntegrating a simulated twin
With Industry 4.0 comes a technological evolution towards cyber-physical systems and a paradigm shift from centralized to decentralized production. This paradigm shift will change production. Our goal within the TWIN project is to develop a holistic solution for integrating a simulated twin of an automation system that covers the system’s entire life cycle. Such a solution will help companies stay competitive in a global and rapidly changing market and meet the challenges accompanying the fourth industrial revolution, such as mass-customization and short product life cycles.
April 2017 - March 2020 Virtual EngineeringSIM2020 - Virtual Engineering
SIM2020 is a three-year projects aimed at building a demonstrator environment at the university. A demonstrator is a physical or virtual prototype that demonstrates the practical value of the research. The demonstrators are built for an industrial audience with the purpose to get more industrial companies interested in using the university's research. The project has a particular focus on small and medium-sized manufacturing companies.
January 2016 - December 2018 Virtual EngineeringYOU2
You2 is a three-year research project that focuses on the development of IT tools for future industrial operators. The central research questions of the project concern the collection of large amounts of data, intelligent processing of the data, automatic optimizations in real-time and user interface design for new technologies such as smart glasses. The work in the project is conducted in close collaboration with industrial partners and is characterized by prototype development aiming at the higher TRL levels.
April 2014 - September 2017 Virtual EngineeringSmart Optimization of Logistics
With today’s global and rapidly changing markets, companies face the challenge of constantly improving their logistics in order to stay competitive. The project Smart Optimization of Logistics (SOL) aims to support this activity by providing a way of performing smart optimizations resulting in reduced costs, improved effectiveness, and enhanced capabilities.
January 2011 - January 2014 Virtual Engineering