Dr. Jiehan Zhou
Professor | PhD Supervisor | Team Leader
H-index: 25, Citations: ~3300, Papers: 170+
+8615711207317 jiehan.zhou@sdust.edu.cn Google Scholar
中文介绍
Current Work
  1. Professor, Department: Internet of Things Engineering, Shandong University of Science and Technology
  2. Journal Editorships: GEs for IEEE IoT Journal, IEEE Transaction on Industrial Informatics
Research Interests

Intelligence Equipment Operation & Maintenance, Industrial Digital Twins, Auto Mobile Robots, Intelligence Transportation, Visual Intelligence, Industrial Large Models

Biography

Dr Jiehan Zhou is a Professor and Director of Global Engagement Office at the School of Computer Science at Shandong University of Science and Technology and a Docent in the Department of Electronics and Information Engineering at the University of Oulu, Finland. He has a rich academic background and professional experience, having obtained a Ph.D. in Mechanical Automation from Huazhong University of Science and Technology in 2000 and a Ph.D. in Computer Engineering from the University of Oulu, Finland in 2011. He has worked at renowned research institutes and universities such as Tsinghua University, VTT Technical Research Centre of Finland, INRIA in France, Luxembourg Institute of Science and Technology (LIST), University of Oulu, and University of Toronto, Canada with over 20 years of international research experience across three continents. He has held positions such as Senior Scientist, Team Leader, Laboratory Director, General Manager of an Industrial Internet company in Germany, and Principal Engineer at a Research Institute on Cloud Computing in Canada. He also serves as a visiting professor at several Chinese universities, including Huazhong University of Science and Technology. Professor Jiehan Zhou has conducted extensive research in intelligent manufacturing, system modeling and simulation, industrial internet, and industrial big data analysis, achieving remarkable accomplishments in both academic and industrial fields. He has undertaken and participated in numerous Chinese, Canadian, European Union projects, including the ERCIM Fellowship Programme, the EU FP6 Amigo Project, and the EU ITEA4-CAM4Home Project.

Education
  1. Doctor of Technology, Network Information Systems, University of Oulu, Finland, 12.2011
  2. Doctor of Philosophy, Manufacturing and Automation, Huazhong University of Science and Technology, Wuhan, China, 01.2001
  3. Master of Science, Mechanical and Electrical Engineering, Lanzhou Jiaotong University, China, 07.1995
  4. Bachelor of Science, Mechanical and Electrical Engineering, Lanzhou Jiaotong University, Lanzhou, China, 07.1992
Work Experiences
04/2024-Current
Professor and Director of Global Engagement Office at the School of Computer Science at Shandong University of Science and Technology, Qingdao, China.
06/2020-03/2024
Principal Engineer, Huawei Canada Technologies Co. Ltd., Toronto, Canada.
02/2019-05/2020
General Manager of CASICloud (Germany) Co., Ltd., Frankfurt, Germany.
10/2015-12/2018
Docent Prof., Faculty of Information Technology and Electronical Engineering, University of Oulu.
09/2013-09/2015
Professor and Project Principal Investigator, Information and Communications Technology, Algonquin College.
Director of MiTC Lab (Media, Internet of Things and Cloud Computing).
07/2012-12/2012
Visiting researcher, Department of Computer and System Engineering at Carleton University, Ottawa, Canada
11/2010-05/2011
Visiting researcher, Department of Electronical and Computer Engineering at University of Toronto, Toronto, Canada.
04/2013-06/2013
Visiting research, School of Computer Science and Technology, Huazhong University of Science and Technology, China.
09/2007-08/2013
Research Scientist, Faculty of Information Technology and Electronical Engineering, University of Oulu.
07/2004-08/2007
Research Scientist, VTT (Technical Research Center of Finland), Oulu, Finland.
01/2003-06/2004
Research Scientist, European Research Consortium of Informatics and Mathematics (ERCIM).
Research Scientist, INRIA (French National Institute for Research in Computer Science and Control), Sophia-Antipolis, France (10/2003-06/2004).
Research Scientist, VTT (Technical Research Center of Finland), Oulu, Finland (01/2003-09/2003).
01/2001-12/2002
Post-doctoral Fellow, Department of Automation, Tsinghua University, Beijing, China.
09/1995-09/2000
PhD Candidate, School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, China.
Recent Research Fundings (Since 2018)
  1. Tropical Biomass-Derived High-Density Fuel Oil and Biochar Through Flash Pyrolysis, NSFC Intergovernmental Cooperation (China-Sri Lanka), 2025.1-2028.12
  2. An Intelligent Platform for Cognitive Digital Twins Modeling, Shandong Provincial Key Projects, 2025.1-2027.12
  3. The Soft-Hardware Collaborative Design for Industrial Large Models, Enterprise Commissioned Project, 2024.8-2025.7
  4. Cloud Manufacturing Resource/Capability Access Based on Edge Computing. Ministry of Science and Technology (MOST), 2019.3 - 2022.2
  5. Analysis, Prediction, and Optimization of Internet Factory Operation Conditions. MOST Intergovernmental Cooperation (China-Finland), 2019.11 - 2021.10
  6. Smart Cloud Manufacturing Factories and Services. MOST Intergovernmental Cooperation (China-Germany), 2018.1 - 2020.12
Selected Publications
  1. Z. Zhang, T. Xu, J. Zhou, Y. Chen, Y. Han, and K. Deng, “An improved hybrid model for vehicle trajectory prediction considering spatiotemporal interactions,” Transportmetrica B: Transport Dynamics, vol. 13, no. 1, pp. 2440589, 2025.
  2. L. Fan, B. Chen, X. Zeng, J. Zhou, and X. Zhang, “Knowledge-enhanced meta-transfer learning for few-shot ECG signal classification,” Expert Systems with Applications, vol. 263, pp. 125764, 2025.
  3. X. He, X. Li, G. Yang, S. Chang, and J. Zhou, “A network connectivity-aware reinforcement learning method for task exploration and allocation,” IEEE Transactions on Network and Service Management, 2024.
  4. B. Chen, K. Wang, D. Xu, J. Xia, L. Fan, and J. Zhou, “Global-local attention network and value-informed federated strategy for predicting power battery state of health,” Energy, pp. 134088, 2024.
  5. S. Zhang, J. Zhou, X. Ma, S. Pirttikangas, and C. Yang, “TSViT: A time series vision transformer for fault diagnosis of rotating machinery,” Applied Sciences, vol. 14, no. 23, pp. 10781, 2024.
  6. M. Yuan, H. Wu, Z. Shen, Y. Han, J. Zhou, Z. Yue, and G. Xiong, “Design and implementation of a web-based collaborative manufacturing system based on knowledge graph,” in Proc. IEEE 4th Int. Conf. Digital Twins Parallel Syst., 2024.
  7. M. Gu, F. Gao, L. Lin, C. Su, Z. Han, H. Zhang, Y. Li, Q. Lu, and J. Zhou, “IR4AAS: An identification resolution-enhanced AAS for digital twins modeling,” in Proc. Asia Simulation Conf., pp. 313–322, 2024.
  8. J. Zhou, Y. Zhao, J. Liu, P. Dong, X. Luo, H. Tao, S. Chang, and H. Luo, “LLM4RL: Enhancing reinforcement learning with large language models,” in Proc. IEEE Can. Conf. Electr. Comput. Eng. (CCECE), 2024.
  9. J. Zhou, Y. Cao, Q. Lu, W. Zhang, X. Liu, and W. Ni, “Industrial large model: Toward a generative AI for industry,” in Proc. IEEE Can. Conf. Electr. Comput. Eng. (CCECE), 2024.
  10. J. Zhou, K. Shao, C. Yu, Y. Hao, L. Hu, M. Chen, and H. Zhu, “MDEA: Modeling depressive emotions aligned with knowledge graphs and large language models,” in Proc. IEEE Can. Conf. Electr. Comput. Eng. (CCECE), 2024.
  11. L. Jing, J. Zhou, and Z. Zhang, “Wearable sensing devices and technology,” Electronics, vol. 13, no. 15, 2024.
  12. Q. Lu, X. Shen, J. Zhou, and M. Li, “MBD-enhanced asset administration shell for generic production line design,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2024.
  13. X. Liu, M. Pang, Q. Li, J. Zhou, H. Wang, and D. Yang, “MVACLNet: A multimodal virtual augmentation contrastive learning network for rumor detection,” Algorithms, vol. 17, no. 5, pp. 199, 2024.
  14. L. Wu, J. Qu, S. Li, C. Zhang, J. Du, X. Sun, and J. Zhou, “Attention-augmented MADDPG in NOMA-based vehicular mobile edge computational offloading,” IEEE Internet of Things Journal, 2024.
  15. H. Luo, S. Ma, H. Tao, R. Ruby, J. Zhou, and K. Wu, “DRL-optimized optical communication for a reliable UAV-based maritime data transmission,” IEEE Internet of Things Journal, 2024.
  16. T. L. Jianbin Xiong and J. Zhou, “Bearing fault diagnosis using multi-channel broad learning system based on positive-negative weighted voting mechanism,” IEEE Transactions on Instrumentation & Measurement, vol. 73, 2024.
  17. J. Zhou, Y. Cao, Q. Lu, Y. Zhang, C. Liu, S. Zhang, and J. Qu, “Industrial large model: A survey,” MATEC Web of Conferences, vol. 401, pp. 10009, 2024.
  18. W. Li, J. Ou, J. Ren, P. Huang, H. Fang, L. Han, and J. Zhou, “DSIL4IMR: A dual step-based initial localization method for industrial mobile robot,” MATEC Web of Conferences, vol. 401, pp. 12003, 2024.
  19. Quanbo Lu; Xinqi Shen; Jiehan Zhou; Mei Li ; MBD-Enhanced Asset Administration Shell for Generic Production Line Design, IEEE Transactions on Systems, Man and Cybernetics: Systems, 2024, 54(9): 5593-5605
  20. Tiantian Lu; Jianbin Xiong; Jiehan Zhou; Qi Wang; jian Cen; Minghui Liu; Qinghua Zhang; Qingyun Dai; Tong Zhang; Juntao Zhang ; Bearing Fault Diagnosis Using Multi-Channel Broad Learning System Based on Positive-Negative Weighted Voting Mechanism, IEEE Transactions on Instrumentation & Measurement, 2024, 73
  21. Jiehan Zhou; Shouhua Zhang; Mu Gu ; Revisiting Digital Twins: Origins, Fundamentals, and Practices, Frontiers of Engineering Management, 2022, 9(4): 668-676
  22. Jianli Zhao; Xijiao Geng; Jiehan Zhou; Qiuxia Sun; Yu Xiao; Zeli Zhang; Zhengbin Fu ; Attribute Mapping and Autoencoder Neural Network Based Matrix Factorization Initialization for Recommendation Systems, Knowledge-Based Systems, 2019, 166(166): 132-139
  23. Jiehan Zhou; Qinghua Lu; Wenbin Dai; Ray Y. Zhong ; Guest Editorial: Special Section on Artificial Intelligence and Big Data Analytics for Cloud Manufacturing, IEEE Transactions on Industrial Informatics, 2022, 2022: 1-3