dr. H. Chen (Hao)

Assistant Professor

About Me

I work as an assistant professor in AI and sustainable industries. My current research interest is how to innovatively develop and deploy emerging AI technologies for the unique physical principles and economic mechanisms of sustainable industries, especially for future energy and environment systems, to combat climate change.

I am also passionate about popularizing emerging science and how to advance engineering education. I am proud of my classical Oriental cultural background. I am easygoing and like parties, outdoor activities, playing tennis, classical music, painting, and calligraphy.

Welcome to all PhD, MSc and undergraduate students looking for supervision and collaboration.


Data-driven study of techno-economic in new industries and optimisation of engineering processes.


Chen, H., Birkelund, Y., & Zhang, Q. (2023). Data science in wind energy: A case study for Norwegian offshore wind. Journal of physics: Conference series, 2638(1), Article 012013. https://doi.org/10.1088/1742-6596/2638/1/012013
Chen, H., & Zhang, Q. (2023). A Control Strategy for Electromagnetic Transient in Renewable Energy Systems Based on Virtual Synchronous Generation. In 2023 3rd International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME) IEEE. https://doi.org/10.1109/ICECCME57830.2023.10252542
Chen, H., Birkelund, Y., Batalden, B. M., & Barabadi, A. (2022). Noise-intensification data augmented machine learning for day-ahead wind power forecast. Energy Reports, 8(Suppl. 10), 916-922. https://doi.org/10.1016/j.egyr.2022.05.265

UT Research Information System


  1. Industrial Engineering Management (IEM) and Busniess Information System (BIS) for undergraduate and masters theses.
  2. Sustainable Supply Chains with D.M. YAZAN.
  3. Applications of Artificial Intelligence in Business with DR. M.R. MACHADO.

Affiliated Study Programmes


Courses Academic Year  2023/2024

Courses in the current academic year are added at the moment they are finalised in the Osiris system. Therefore it is possible that the list is not yet complete for the whole academic year.

Contact Details

Visiting Address

University of Twente
Faculty of Behavioural, Management and Social Sciences
Ravelijn (building no. 10), room 4402
Hallenweg 17
7522NH  Enschede
The Netherlands

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Mailing Address

University of Twente
Faculty of Behavioural, Management and Social Sciences
Ravelijn  4402
P.O. Box 217
7500 AE Enschede
The Netherlands