Ravelijn

dr. H. Chen (Hao)

Universitair docent
BMS-HBE-IEMS
Ravelijn 4402
h.chen-3@utwente.nl
+31534897784
Visitekaartje

Ik werk als assistent-professor op het gebied van AI en duurzame industrieën. Mijn huidige onderzoeksinteresse is hoe op innovatieve wijze opkomende AI-technologieën kunnen worden ontwikkeld en ingezet voor de unieke fysische principes en economische mechanismen van duurzame industrieën, met name voor toekomstige energie- en milieusystemen om klimaatverandering tegen te gaan.

Ik ben ook gepassioneerd over het populariseren van opkomende wetenschap en het bevorderen van onderwijs in engineering. Ik ben trots op mijn klassieke Oosterse culturele achtergrond. Ik ben makkelijk in de omgang en hou van feestjes, buitenactiviteiten, tennissen, klassieke muziek, schilderen en kalligrafie.


Expertises

  • Computer Science

    • Models
    • Machine Learning

  • Earth and Planetary Sciences

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

Organisaties

Publicaties

2025

How are Industry 4.0 technologies transforming a sustainable society across industries? (2025)Digital Transformation and Society, 4(3), 363-380. Zhao, W., Chen, H. & Bulis, A.https://doi.org/10.1108/DTS-11-2024-0225Few-shot learning and deep predictive models for cost optimization and carbon emission reduction in energy-water management (2025)Journal of environmental management, 389. Article 126077. Zhao, W., Chen, H., Yazan, D. M., Taghavifar, H., Lyu, Y. & Bulis, A.https://doi.org/10.1016/j.jenvman.2025.126077Decoding the Symmetry of Influence: A Machine Learning Study of Reading Exposure and Social Attitudes Across Social Groups (2025)Symmetry, 17(6). Article 900. Wang, Y., Chen, H., Zhao, W. & Zhang, Q.https://doi.org/10.3390/sym17060900Advanced analytics to improve energy efficiency of steel industry - A systematic review on ladle logistics (2025)Cleaner Engineering and Technology, 25. Article 100907. Keshetti, A. R., Ruela, V. S. P., Chen, H. & Machado, M. R.https://doi.org/10.1016/j.clet.2025.100907Semisupervised Breast MRI Density Segmentation Integrating Fine and Rough Annotations (2025)IEEE Transactions on Artificial Intelligence, 6(3), 690-699. Xie, T., Sun, Y., Yang, H., Li, S., Song, J., Yang, Q., Chen, H., Wu, M. & Tan, T.https://doi.org/10.1109/TAI.2024.3491693Reducing managerial uncertainty through digital financial inclusion evidence from China (2025)Social Sciences and Humanities Open, 11. Article 101509. Jin, T., Zhao, W., Chen, H. & Wu, Y.https://doi.org/10.1016/j.ssaho.2025.101509

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.2023.140217

Onderzoeksprofielen

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