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.

Expertise

  • Computer Science

    • Models
    • Machine Learning
  • Earth and Planetary Sciences

    • Model
    • Prediction
    • Wind
    • Wind Velocity
    • Wind Power
    • Weather Condition

Organisations

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

Publications

2024

Quantum Computing for Complex Energy Systems: A Review (2024)In 2024 6th International Conference on Data-Driven Optimization of Complex Systems, DOCS 2024 (pp. 572-577). IEEE. Heinen, X. & Chen, H.https://doi.org/10.1109/DOCS63458.2024.10704424Status Quo, Advances and Futures of Machine Learning in Fault Detection and Diagnosis for Energy: A Review (2024)In Proceedings of The 6th International Conference on Clean Energy and Electrical Systems - Proceedings of CEES 2024 (pp. 170-183) (Lecture Notes in Electrical Engineering; Vol. 1222 LNEE). Springer. Chen, H., Feng, J., Jin, A. & Li, B.https://doi.org/10.1007/978-981-97-5775-6_12Cost-Efficient Vehicular Edge Computing Deployment for Mobile Air Pollution Monitoring (2024)In 2024 IEEE Wireless Communications and Networking Conference, WCNC 2024 - Proceedings (IEEE Wireless Communications and Networking Conference, WCNC). IEEE. Zhang, Q., Chen, H. & Ha, P. H.https://doi.org/10.1109/WCNC57260.2024.10570558A novel wind model downscaling with statistical regression and forecast for the cleaner energy (2024)Journal of cleaner production, 434. Article 140217. Chen, H.https://doi.org/10.1016/j.jclepro.2023.140217Scenario Generation by Physical Model-Free Approaches for Multiple Renewables (2024)Journal of physics: Conference series, 2754(1). Article 012003. Chen, H., Jin, A., Zhao, W., Yi, H. & Zhang, Q.https://doi.org/10.1088/1742-6596/2754/1/012003

Research profiles

Address

University of Twente

Ravelijn (building no. 10), room 4402
Hallenweg 17
7522 NH Enschede
Netherlands

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Organisations

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