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

  • Engineering

    • Wind Power
    • Learning System

  • Social Sciences

    • China

  • Computer Science

    • Artificial Intelligence
    • Energy Generation
    • Experimental Result
    • Neural Network
    • Predictive Model

Organisaties

Publicaties

2026

Learning frequency-aware graph fraud detection (2026)Neural networks, 198. Article 108600. Zhao, W. & Chen, H.https://doi.org/10.1016/j.neunet.2026.108600How can the integration of AI large language models and knowledge graph enhance fault diagnosis?: A systematic literature review (2026)Applied Soft Computing, 194. Article 114908. Razaq, W. B. M., Chen, H., Machado, M. R. & Rebelo Moreira, J. L.https://doi.org/10.1016/j.asoc.2026.114908Improved VMD with hybrid grey wolf optimization for bearing signal fault analysis (2026)Measurement, 264. Article 120312. Mo, Y., Lyu, Y., Wang, H., Zhao, W. & Chen, H.https://doi.org/10.1016/j.measurement.2026.120312A comprehensive framework for data challenges and intelligent resource optimization for offshore wind energy (2026)Sustainable Energy Technologies and Assessments, 87. Article 104888. Lyu, Y., Chen, H. & Yazan, D. M.https://doi.org/10.1016/j.seta.2026.104888Global value chains and carbon intensity across economic phases (2026)Cleaner Logistics and Supply Chain, 18. Article 100294. Zhao, W., Chen, H., Zhang, J. K. & Bulis, A.https://doi.org/10.1016/j.clscn.2025.100294Off-grid shore-to-ship power system optimization with a hydrogen-in-loop buffering scheme driven by hydrokinetic wave-wind energy (2026)Renewable energy, 256(Part H). Article 124609. Taghavifar, H., Bordin, C., Chen, H. & Roskilly, A. P.https://doi.org/10.1016/j.renene.2025.124609

2025

Optimizing Energy Consumption through Energy Management Systems for Manufacturing Facility (2025)In International Conference on Electrical, Computer, Communications and Mechatronics Engineering, ICECCME 2025 (International Conference on Electrical, Computer, Communications and Mechatronics Engineering, ICECCME 2025). IEEE. Chen, H., Zhao, W. & Alaoui, M. E.https://doi.org/10.1109/ICECCME64568.2025.11277906How 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/sym17060900

Onderzoeksprofielen

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