Photo of Mehdi Tarkian

Mehdi Tarkian

Senior Associate Professor

My passion is Design Automation. This can be done with KBE, Machine Learning or Optimization. The method is not as important as the results, which in turn is not as important as the goal - to increase intuition and decrease repetitions for engineers.

Automate the Repetitive

Both my research and teaching is centered around Design Automation. I have worked in the field since 2007.

I have an industrial background since 2012 when I founded the spin off company XperDi based on research results at the division. Since 2017 I'm back full time at LiU.

At present, I participate in three research projects where my part in the project is as follows:

  • AutoPack - Machine learning implemented for CAD
  • ADAPT - Design automation for production preparation
  • DeProtion - Design Automation for the construction sector

Teaching

During my time at LiU, I have worked in all levels of the undergraduate education. My current courses as an examiner are:

  • TMKT79, Collaborative Multidisciplinary Design Optimization. The course has more than 60 participants and gained over 4.0 in course grades in 2017
  • TMKT57, Product Modeling. This Design Automation course has more than 140 participants and receives over 4.0 in course grades since 2008

Read blog with student results.

CV

Publications

2023

Sanjay Nambiar, Anton Wiberg, Mehdi Tarkian (2023) Automation of unstructured production environment by applying reinforcement learning Frontiers in Manufacturing Technology, Vol. 3 Continue to DOI
Javier Villena Toro, Anton Wiberg, Mehdi Tarkian (2023) Optical character recognition on engineering drawings to achieve automation in production quality control Frontiers in Manufacturing Technology, Vol. 3 Continue to DOI
Erik Nordvall, Anton Wiberg, Mehdi Tarkian (2023) Knowledge-based engineering and computer vision for configuration-based substation design FRONTIERS IN MECHANICAL ENGINEERING-SWITZERLAND, Vol. 9, Article 1154316 Continue to DOI
Javier Villena Toro, Anton Wiberg, Mehdi Tarkian (2023) Application of optimized convolutional neural network to fixture layout in automotive parts The International Journal of Advanced Manufacturing Technology Continue to DOI

2022

Javier Villena Toro, Mehdi Tarkian (2022) Automated and Customized CAD Drawings by Utilizing Machine Learning Algorithms: A Case Study ASME 2022 International Design Engineering Technical Conferences and Computers and Information in Engineering ConferenceAugust 14–17, 2022St. Louis, Missouri, USA: Volume 3B: 48th Design Automation Conference (DAC) Continue to DOI

Research

Organisation