ET-DPM-MS

I’m interested in the design and implementation of intelligent automation systems in advanced manufacturing environments. My research focuses on how to support practical decision-making in automation design, especially under dynamic product requirements and increasing demands for flexibility and scalability.

This includes both the development of structured methodologies and the integration of emerging technologies such as digital twins, virtual simulation, and AI-driven decision support. The goal is to bridge the gap between conceptual automation planning and detailed system implementation—ensuring that automation strategies are robust, efficient, and adaptable.

Key topics include:

  • Intelligent automation system design (e.g. requirement analysis, equipment selection, assembly planning, gripper and fixture design)
  • Simulation-based engineering using digital twins (e.g. SolidWorks, Visual Components, Omniverse, Ansys)
  • Physical demonstrators for automation validation (e.g. lab-scale robotic assembly cells, part-handling hardware)
  • Flexible and adaptive manufacturing systems (e.g. reconfigurable automation strategies for varying product types)
  • Integration of virtualization and physicalization in automation workflows (e.g. simulation-guided hardware deployment, feedback loops for optimization)

By combining systematic engineering approaches with digital and physical validation, my work contributes to building more intelligent, scalable, and resilient manufacturing automation systems.

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University of Twente

Horst Complex (building no. 20), room T310
De Horst 2
7522 LW Enschede
Netherlands

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