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      University of Skövde, link to startpage

      Amos Ng

      Professor of Automation Engineering
      School of Engineering Science
      Room PA210T

      Academic & Professional Qualifications

      • BEng, MPhil, PhD
      • Chartered Engineer (CEng), United Kingdom
      • Member of the Institution of Engineering and Technology (MIET), United Kingdom

      Research Interests

      Production simulation, multi-objective optimization of production systems, simulation-based optimization, simulation-based innovization.

      Education

      Course
      5 credits
      Post-graduate (3rd cycle)
      Course
      5 credits
      Post-graduate (3rd cycle)
      Course
      6 credits
      Master's (2nd cycle)
      Course
      6 credits
      Master's (2nd cycle)

      Research

      2025

      Siwei Fu, Amos H. C. Ng

      23rd International Industrial Simulation Conference, ISC 2025

      2025. Conference paper.

      Aitor Iriondo Pascual, Magnus Holm, Amos H. C. Ng, Filip Larsson, Jerry Olsson

      Human-Computer Interaction: Thematic Area, HCI 2025, Held as Part of the 27th HCI International Conference, HCII 2025, Gothenburg, Sweden, June 22–27, 2025, Proceedings, Part III

      2025. Conference paper. https://doi.org/10.1007/978-3-031-93845-0_25

      Ehsan Mahmoodi, Masood Fathi, Amos H. C. Ng, Amir Nourmohammadi

      Procedia Computer Science

      2025. Article. https://doi.org/10.1016/j.procs.2025.01.314 Open Access

      Ludwig Mittermeier, Amos H. C. Ng, Richard Senington, Tommy Fässberg, Daniel Johansson

      23rd International Industrial Simulation Conference, ISC 2025

      2025. Conference paper.

      Ludwig Mittermeier, Amos H. C. Ng, Richard Senington, Manfred A. Jeusfeld

      Simulation in Produktion und Logistik 2025

      2025. Conference paper. https://doi.org/10.25368/2025.276 Open Access

      Richard Senington, Amos H. C. Ng, Ludwig Mittermeier, Sunith Bandaru

      IEEE Access

      2025. Article, review. https://doi.org/10.1109/ACCESS.2025.3596632 Open Access

      Ongoing projects

      Future-Proof Factories: The SMART Way to Resilient Production

      How can factories keep running when energy prices rise, machines break down, or labour conditions change suddenly? The SMART project explores this question by redefining how manufacturing works in Sweden. Its focus is on creating systems that are not only stronger and more adaptable but also environmentally responsible and centred around people.

      December 2025 - November 2029 67951

      LITMUS: Enabling the Transition from Industry 4.0 to Industry 5.0

      In the LITMUS project, researchers are exploring how companies can transition from today’s Industry 4.0 to the new Industry 5.0 by smartly utilizing their existing technologies. The goal is to combine efficient production with improved economic, social, and environmental sustainability.

      September 2024 - August 2028 67951

      Virtual 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 67951

      Finished projects

      Industry 4.0 and Agile Manufacturing

      Manufacturing industries are constantly challenged by the market to improve product quality, increase production efficiency, ensure safety, and enhance sustainability. In this project, the team will be analyzing the interactions between digital systems and the physical world to see: Is it possible, with the target users’ satisfaction and safety in focus, to integrate optimization-enabled Digital Twins with Augmented Reality and other advanced sensing technologies to drive manufacturing companies toward a more agile configuration and operation in the industry 4.0 era?

      September 2021 - December 2025 67951

      KDDS

      The long-term vision of this research is to support knowledge-driven decision making in Swedish industry, which in turn can contribute to leverage their overall productivity and competitiveness.

      June 2020 - June 2022 67951

      Integrated platform for future manufacturing

      Future manufacturing will be characterized by the complementarity between humans and automation, especially regarding the production of highly customizable products.

      January 2017 - December 2020 67951

      Production of the next generation powertrains

      The goal of the project is to create the required conditions for continuous innovation and developments connected to electric powertrains and efficient value chains to facilitate the production of the new generation of electric powertrains to take place in Sweden, and not through, e.g., outsourcing. The project is up and running, and the steering committee meets once a month.

      May 2018 - August 2020 67951

      Efficient Equipment Engineering (E3)

      The project is within the area of Industry 4.0 closely related to the application and technical solutions proposed by Efficient Equipment Engineering E3.

      July 2016 - June 2018 67951

      Interactive Decision Support using Simulation-based Innovization

      Designing or improving a manufacturing system involves a series of complex decisions over time to satisfy the strategic objectives of the company. To select the optimal parameters of the system entities so as to achieve the desired overall performance of the system is a very complex task that has been proven to be difficult for a decision maker in the design/improvement process.

      April 2014 - March 2017 67951

      OPTIMisation using Intelligent Simulation Tools

      The overall aim of this proposed multi-discipline (industrial engineering and computer science) project is to leverage the effectiveness of the Swedish industrial and service sectors, by introducing the state-of-the-art simulation technology, namely simulation-based intelligent optimisation, to their system design and daily operations.

      April 2008 - March 2011 67951
      Published: 1/9/2020
      Edited: 1/9/2020
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