Norwegian version
Jianhua Zhang

Jianhua Zhang


Jianhua Zhang has been Professor in Computer Science at Oslo Metropolitan University (OsloMet), Norway since 2018. Before joining OsloMet, he spent a stint working at a French IT company, Vekia (Lille, France) as Scientific Director. He was Professor at East China University of Science and Technology (Shanghai, China) between 2007 and 2017. He received PhD from Ruhr University Bochum, Germany and did postdoc. at The University of Sheffield, UK. He was Guest Scientist at Dresden University of Technology, Germany from 2002 to 2003 and Visiting Professor at Technical University of Berlin, Germany during 2008-2015. His research interests include computational intelligence, machine learning and pattern recognition, data modeling and analytics, intelligent systems and control, modeling and control of complex systems, biomedical signal processing and data analysis, and neurocomputing (in particular, neuroergonomics and affective computing). He serves as Chair of IFAC (International Federation of Automatic Control) Technical Committee on Human-Machine Systems for two consecutive terms (2017-2023), Vice Chair of IEEE Norway Section, and Vice Chair of IEEE CIS Norway Chapter. He is on editorial board of 4 international scientific journals, including Frontiers in Neuroscience, Cognitive Neurodynamics, and Cognition, Technology and Work. He was chair or keynote speaker for a number of international scientific conferences.

Fields of study

Academic disciplines

Computer technology   Technical cybernetics

Subject areas

Artificial intelligence   Machine learning   Pattern Recognition   Control technology   Datamining   Neuroinformatics   Intelligent systems   Human-machine system   Computational intelligence   Non Stationary signal analysis



Scientific publications

Flammini, Francesco; Xiong, Ning; Zhang, Jianhua ; Neri, Filippo (2024). ACM Proceedings of 9th International Conference on Machine Learning Technologies (ICMLT 2024). ISBN: 979-8-4007-1637-9. 350 p. Association for Computing Machinery (ACM).

Tang, Jiehao; Ma, Zhuang; Gan, Kaiyu; Zhang, Jianhua ; Yin, Zhong (2024). Hierarchical multimodal-fusion of physiological signals for emotion recognition with scenario adaption and contrastive alignment. Information Fusion. Vol. 103.

Gan, Kaiyu; Li, Ruiding; Zhang, Jianhua ; Sun, Zhanquan; Yin, Zhong (2024). Instantaneous estimation of momentary affective responses using neurophysiological signals and a spatiotemporal emotional intensity regression network. Neural Networks. Vol. 172.

Yin, Zhong; Yang, J.; Zhang, J.; Wang, Z.; Zhang, Jianhua ; Wang, Y.; Zhang, B. (2024). Generic Mental Workload Measurement Using a Shared Spatial Map Network With Different EEG Channel Layouts. 12 p. IEEE Transactions on Instrumentation and Measurement. Vol. 73.

Mozaffari, Leila; Zhang, Jianhua (2024). Predictive Modeling of Stock Prices Using Transformer Model (paper ID: LT641). Flammini, Francesco; Xiong, Ning; Zhang, Jianhua; Neri, Filippo (Ed.). ACM Proceedings of 9th International Conference on Machine Learning Technologies (ICMLT 2024). Association for Computing Machinery (ACM).

Mozaffari, Leila; Brekke, Marte Marie; Gajaruban, B.; Purba, D.; Zhang, Jianhua (2023). Facial Expression Recognition Using Deep Neural Network. Nichele, Stefano (Ed.). IEEE Conference Proceedings: 2023 3rd International Conference on Applied Artificial Intelligence (ICAPAI). IEEE conference proceedings.

Zheng, Zhanpeng; Yin, Zhong; Wang, Yongxiong; Zhang, Jianhua (2023). Inter-subject cognitive workload estimation based on a cascade ensemble of multilayer autoencoders. 19 p. Expert Systems With Applications. Vol. 211.

Zhang, Jianhua ; Yin, Zhong; Chen, Peng (2023). EEG-based affect classification with machine learning algorithms. Ishi, Hideaki (Ed.). 22nd IFAC World Congress. Elsevier.

Soudaei, Alexander; Zhang, Jianhua ; Elmi, Mohamed Ahmed; Tsechoev, Mikael; Khan, Zishan; Osman, Ahmed Abbas (2023). Household Energy Consumption Prediction: A Deep Neuroevolution Approach. Nallanathan, Arumugam (Ed.). AI2A '23: Proceedings of the 2023 3rd International Conference on Artificial Intelligence, Automation and Algorithms. p. 164-168. Association for Computing Machinery (ACM).

Kim, Moon Keun ; Cremers, Bart; Liu, Jiying; Zhang, Jianhua ; Wang, Junqi (2022). Prediction and correlation analysis of ventilation performance in a residential building using artificial neural network models based on data-driven analysis. 13 p. Sustainable Cities and Society (SCS). Vol. 83.

These publications are obtained from Cristin. The list may be incomplete