English version
Jianhua Zhang

Jianhua Zhang

Kort om

Jianhua Zhang har vært professor i informatikk ved OsloMet - Storbyuniversitetet, Oslo, Norge siden 2018. Før han ble med i OsloMet, jobbet han i et fransk IT-selskap, Vekia (Lille, Frankrike) som vitenskapelig direktør. Han var professor ved East China University of Science and Technology (Shanghai, Kina) mellom 2007 og 2017. Han tok doktorgrad fra Ruhr University Bochum, Tyskland og gjorde postdoc forskning ved The University of Sheffield, Storbritannia. Han var gjesteforsker ved TU Dresden, Tyskland fra 2002 til 2003 og gjesteprofessor ved TU Berlin, Tyskland mellom 2008 og 2015. Hans forskningsinteresser inkluderer beregningsintelligens, maskinlæring, intelligent kontroll, biomedisinsk signalbehandling, nevroergonomi, og affektiv databehandling. Han fungerer som styreleder for IFAC (International Federation of Automatic Control) Technical Committee on Human-Machine Systems (2017-2023), nestleder for IEEE Norge-seksjonen og nestleder for IEEE CIS Norway Chapter. Han sitter i redaksjonen for 4 internasjonale vitenskapelige tidsskrifter, inkludert Frontiers in Neuroscience, Cognitive Neurodynamics, og Cognition, Technology and Work. Han var styreleder eller hovedtaler for en rekke internasjonale vitenskapelige konferanser.

Fagområder

Vitenskapsdisipliner

Datateknologi   Teknisk kybernetikk

Emner

Kunstig intelligens   Maskinlæring   Mønstergjenkjenning   Reguleringsteknikk   Datagruvedrift   Nevroinformatikk   Intelligente systemer   Mann maskin stystem   Beregnende intelligens   Non Stationary signal analysis

Land

Norge

Vitenskapelige publikasjoner

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.
https://doi.org/10.1016/j.neunet.2023.12.034

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.
https://doi.org/10.1016/j.inffus.2023.102129

Mozaffari, Leila; Brekke, Marte Marie; Gajaruban, B.; Purba, D.; Zhang, Jianhua (2023). Facial Expression Recognition Using Deep Neural Network. Nichele, Stefano (Red.). IEEE Conference Proceedings: 2023 3rd International Conference on Applied Artificial Intelligence (ICAPAI). IEEE conference proceedings.
https://doi.org/10.1109/ICAPAI58366.2023.10193866

Zheng, Zhanpeng; Yin, Zhong; Wang, Yongxiong; Zhang, Jianhua (2023). Inter-subject cognitive workload estimation based on a cascade ensemble of multilayer autoencoders. 19 s. Expert Systems With Applications. Vol. 211.
https://doi.org/10.1016/j.eswa.2022.118694

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 (Red.). AI2A '23: Proceedings of the 2023 3rd International Conference on Artificial Intelligence, Automation and Algorithms. s. 164-168. Association for Computing Machinery (ACM).
https://doi.org/10.1145/3611450.3611474

Zhang, Jianhua ; Yin, Zhong; Chen, Peng (2023). EEG-based affect classification with machine learning algorithms. Ishi, Hideaki (Red.). 22nd IFAC World Congress. Elsevier.
https://doi.org/10.1016/j.ifacol.2023.10.486

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 s. Sustainable Cities and Society (SCS). Vol. 83.
https://doi.org/10.1016/j.scs.2022.103981

Hua, Yue; Zhong, Xiaolong; Zhang, Bingxue; Yin, Zhong; Zhang, Jianhua (2021). Manifold feature fusion with dynamical feature selection for cross-subject emotion recognition. 24 s. Brain Sciences. Vol. 11.
https://doi.org/10.3390/brainsci11111392

Zhang, Jianhua ; Liu, Xiuling (2020). Automatic Analysis of Large-scale Nanopore Data Using Hidden Markov Models. IFAC-PapersOnLine. Vol. 53.

Zhang, Jianhua ; Chen, Peng (2020). Selection of Optimal EEG Electrodes for Human Emotion Recognition. IFAC-PapersOnLine. Vol. 53.





Publikasjonslisten er hentet ut av Cristin. Listen kan være ufullstendig