🎓 Dr. Xiaohan Chen陈霄汉
Postdoctoral Research Fellow 
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👨🎓 Academic Profile
Dr. Xiaohan Chen is a Postdoctoral Research Fellow at the KIOS Research and Innovation Center of Excellence, University of Cyprus, working on the European Research Council Water Futures project under the supervision of Prof. Marios Polycarpou. He earned his Ph.D. in Electrical Engineering and Electronics from the University of Liverpool in 2024, supervised by Prof. Rui Yang and Prof. Roberto Ferrero. Dr. Chen's current research focuses on Graph Neural Networks and Explainable AI for fault isolation in drinking water distribution systems. He has published over 20 high-impact journal and conference papers, one of which has been recognized as an ESI hot paper (top 0.1%) and two as ESI highly cited papers (top 1%). He actively serves as a reviewer for leading international journals, including IEEE TNNLS, IEEE TII, Engineering Applications of Artificial Intelligence, and Expert Systems with Applications.
Interpretable machine learning for safety-critical applications
Cross-domain knowledge transfer and few-shot learning
Graph-based modeling for complex system analysis
Smart monitoring and fault isolation in water networks
Industrial machinery and critical infrastructure monitoring
Time-series analysis for predictive maintenance
* indicates corresponding author • For a complete list, see my Google Scholar profile
📑 Journal Papers
CoWS: Self-Supervised Representation Pre-Training for Cross-Machine Fault Diagnosis
Xiaohan Chen, Rui Yang, Yihao Xue, Zidong Wang
IEEE Transactions on Emerging Topics in Computational Intelligence, 2026 [Code]
Dual Attention-Guided Ensemble Framework for High-Speed Train Fault Diagnosis: Optimizing Multiscale Features From Multiple Sensors
Yihao Xue, Rui Yang, Xiaohan Chen, Yifan Zhan, Baoye Song, Zidong Wang
IEEE Transactions on Intelligent Transportation Systems, 2025
Joint Attention-Guided Multitask Feature Sharing Network for High-Speed Train Fault Diagnosis
Yihao Xue, Rui Yang, Xiaohan Chen, Baoye Song, Zidong Wang
IEEE Transactions on Instrumentation and Measurement, 2025
Separable Convolutional Network-Based Fault Diagnosis for High-Speed Train: A Gossip Strategy-Based Optimization Approach
Yihao Xue, Rui Yang, Xiaohan Chen, Baoye Song, Zidong Wang
IEEE Transactions on Industrial Informatics, 2024
A Review on Transferability Estimation in Deep Transfer Learning
Yihao Xue, Rui Yang, Xiaohan Chen, Weibo Liu, Zidong Wang, Xiaohui Liu
IEEE Transactions on Artificial Intelligence, 2024
TFPred: Learning Discriminative Representations from Unlabeled Data for Few-Label Rotating Machinery Fault Diagnosis
Xiaohan Chen, Rui Yang, Yihao Xue, Baoye Song, Zidong Wang
Control Engineering Practice, 2024 [Code]
A Novel Momentum Prototypical Neural Network to Cross-Domain Fault Diagnosis for Rotating Machinery Subject to Cold-Start
Xiaohan Chen, Rui Yang, Yihao Xue, Chao Yang, Baoye Song, Maiying Zhong.
Neurocomputing, 2023
A Novel Local Binary Temporal Convolutional Neural Network for Bearing Fault Diagnosis
Yihao Xue, Rui Yang, Xiaohan Chen, Zhongbei Tian, Zidong Wang.
IEEE Transactions on Instrumentation and Measurement, 2023
Deep Transfer Learning for Bearing Fault Diagnosis: A Systematic Review Since 2016
Xiaohan Chen, Rui Yang, Yihao Xue, Mengjie Huang, Roberto Ferrero, Zidong Wang
IEEE Transactions on Instrumentation and Measurement, 2023 [Code] 🏆 ESI Highly Cited 🔥 ESI Hot Paper
Bearing Fault Diagnosis Base on Multi-scale CNN and LSTM Model
Xiaohan Chen, Beike Zhang, Dong Gao
Journal of Intelligent Manufacturing, 2021 [Code] 🏆 ESI Highly Cited
🎤 Conference Papers
Contamination Source Isolation in Water Distribution Networks via Sensor-Only Contrastive Graph Learning
Xiaohan Chen, Stelios Vrachimis, Marios M. Polycarpou
The 35th International Conference on Artificial Neural Networks (ICANN 2026), Padova, Italy [Code]
A Ranked Contamination Diagnosis Method for Water Distribution Systems Using Spatio-Temporal Graph Neural Networks
Xiaohan Chen, Marios M. Polycarpou
2025 6th International Conference on Control and Fault-Tolerant Systems (SysTol), Ayia Napa, Cyprus [Code]
Multi-Modal Self-Supervised Learning for Cross-Domain One-Shot Bearing Fault Diagnosis
Xiaohan Chen, Yihao Xue, Mengjie Huang, Rui Yang
2024 12th IFAC Symposium on Fault Detection, Supervision, and Safety for Technical Processes (SAFEPROCESS), Ferrara, Italy
Transfer Learning with Unsupervised Domain Adaptation Method for Bearing Fault Diagnosis
Xiaohan Chen, Rui Yang, Huiqing Wen, Steven Guan
2021 12th CAA Symposium on Fault Detection, Supervision, and Safety for Technical Processes (SAFEPROCESS), Chengdu, China
🎓 Academic Fellowships
Ph.D. Scholarship (Full funding), University of Liverpool (2021-2024)
🏅 Academic Recognition
Outstanding Student, Baidu Deep Learning Engineer Training Camp (2020)
National Graduate Scholarship, China (2017-2019, 3 consecutive years)
🌟 Community Service
Outstanding Volunteer, University of Miskolc Confucius Institute Summer Camp (2019)
📝 Journal Reviewer
• Advanced Engineering Informatics
• Annual Reviews in Control
• Applied Soft Computing
• Control Engineering Practice
• Computers in Industry
• Engineering Applications of Artificial Intelligence
• Electric Power Systems Research
• Expert Systems With Applications
• Information Fusion
• IEEE/CAA Journal of Automatica Sinica
• IEEE Transactions on Cybernetics
• IEEE Transactions on Instrumentation and Measurement
• IEEE Transactions on Industrial Informatics
• IEEE Transactions on Intelligent Transportation Systems
• IEEE Transactions on Neural Networks and Learning Systems
• IEEE Transactions on Systems, Man and Cybernetics: Systems
• ISA Transactions
• International Journal of Computer Applications in Technology
• International Journal of Electrical Power and Energy Systems
• Knowledge-Based Systems
• Machine Learning with Applications
• Measurement
• Mechanical Systems and Signal Processing
• Neurocomputing
• Neural Networks
• Ocean Engineering
• Pattern Recognition
• Process Safety and Environmental Protection
• Reliability Engineering & System Safety
• Results in Engineering
🎤 Conference Activities
Conference Reviewer:
• ICANN (2026)
• IEEE ITSC (2026)
• IEEE WCCI (2026)
• IEEE SmartGridComm (2025)
• ICECET (2024/2025)
• IEEE FAST (2023)
• CAA SAFEPROCESS (2021)
Presentations:
• 2026 ICANN, Padova, Italy
• 2026 WDSA/CCWI, Paphos, Cyprus
• 2025 SysTol, Ayia Napa, Cyprus
• 2024 IFAC SAFEPROCESS, Ferrara, Italy
• 2021 CAA SAFEPROCESS, Online
• 2019 IEEE ICMA, Tianjin, China
Professional Memberships
• Member, European Neural Network Society (ENNS)
ERC Synergy Grant - Water Futures (Grant agreement No. 951424)
Funding Agency: European Research Council
Total Amount: €9.9M (Project total)
Role: Postdoctoral Research Fellow
PI: Prof. Marios Polycarpou
Focus: Explainable AI for water distribution system monitoring and fault diagnosis
🏢 Office Address
KIOS Research and Innovation Center of Excellence
University of Cyprus
1 Panepistimiou Avenue
2109 Aglantzia, Nicosia, Cyprus
🌐 Digital Presence
© 2025 Dr. Xiaohan Chen | Last updated: May 2026
🌟 Designing intelligent systems for a sustainable future