Meng Yuan

Meng Yuan

Researcher in control area

About Me

I am a Researcher at the Automatic Control research group, Division of Systems and Control, Department of Electrical Engineering, Chalmers University of Technology, Gothenburg, Sweden.

Previously, I was a Research Fellow at the Rehabilitation Research Institute of Singapore, Nanyang Technological University, Singapore. I obtained my Ph.D. degree in the Department of Electrical and Electronic Engineering from University of Melbourne in 2020, advised by Prof Chris Manzie, Prof Iman Shames, Prof Iven Mareels (IEEE Fellow, IFAC Fellow) and Prof Malcolm Good. Before that, I completed my Master’s degree in Control Theory and Control Engineering from the State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University in 2015, supervised by Prof Tianyou Chai (IEEE Life Fellow, IFAC Fellow), Prof Hong Wang (IEEE Fellow) and Prof Ping Zhou.

I am a recipient of the EU Marie Skłodowska-Curie Action Postdoctoral Fellowship (MSCA-PF) in 2023, hosted by A/Prof Changfu Zou at Chalmers.

News and Updates

  • 2024.10 Our paper “Occluded Meter Reading with Pointer Mask Generation Based on Generative Adversarial Network” has been accepted by IEEE Transactions on Instrumentation & Measurement. It will be available online soon.

  • 2024.09 Conference paper by Master’s student Junwei Xie, “Short-term Load Forecasting for Buildings Based on a Dynamic Weighted edRVFL Model” has been accepted for the China Automation Congress (CAC 2025). It will be presented as a poster in November 2025 in Qingdao, China.

  • 2024.07 Our paper “Pointer generation and main scale detection for occluded meter reading based on generative adversarial network” has been accepted to Measurement.

  • 2024.05 Our paper “Wood Broken Defect Detection with Laser Profilometer Based on Bi-lstm Network” has been accepted to Expert Systems with Applications.

  • 2024.01 Our paper “Joint Optimization of Steel Plate Shuffling and Truck Loading Sequencing Based on Deep Reinforcement Learning” has been accepted to Advanced Engineering Informatics.