Ravelijn

dr. H. Chen (Hao)

Assistant Professor
BMS-HBE-IEMS
Ravelijn 4402
h.chen-3@utwente.nl
+31534897784
Business card

I am 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

  • Engineering

    • Wind Power
    • Learning System

  • Social Sciences

    • China

  • Computer Science

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

Organisations

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

Publications

2026

Data Envelopment Analysis of sustainable development performance with enterprise structure and data governance in Europe (2026)Sustainable Futures, 12. Article 101963 (E-pub ahead of print/First online). de Lange, W., Rogetzer, P. B., Ugulino, W. C., Chen, H. & Machado, M. R.https://doi.org/10.1016/j.sftr.2026.101963Learning 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.2025.126077

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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