English version
Jianhua Zhang

Jianhua Zhang

Kort om

Jianhua Zhang is a full Professor at OsloMet AI Lab, Dept. of Computer Science, Oslo Metropolitan University, Norway. Dr Zhang received PhD from Ruhr University Bochum, Germany and did postdoc. at the University of Sheffield, UK. He was a Guest Scientist at Dresden University of Technology from 2002 to 2003 and Visiting Professor at the Technical University of Berlin during 2008-2015. His research interests include computational intelligence, machine learning, intelligent systems and control, human-machine systems, brain signal processing, and brain-machine interaction. He has published 4 books, 11 book chapters, and over 150 technical papers. He serves as Chair of IFAC TC on Human-Machine Systems, Vice Chair of IEEE Norway Section, and Vice Chair of IEEE CIS Norway Chapter. He is on editorial board of 4 international journals, including Frontiers in Neuroscience, Cognitive Neurodynamics, and Cognition, Technology & Work. He was chair or keynote speaker for a number of international conferences.

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

Publikasjoner og forskningsresultater

Vitenskapelige publikasjoner

Zhang, Jianhua; Li, Jianrong; Nichele, Stefano (2020). Instantaneous Mental Workload Recognition Using Wavelet-Packet Decomposition and Semi-Supervised Learning. Huang, Tingwen (Red.). Proceedings of IEEE Symposium Series on Computational Intelligence (SSCI2019). KAPITTEL. s. 409-415.

Zhang, Jianhua; Chen, Peng; Nichele, Stefano; Yazidi, Anis (2020). Emotion Recognition Using Time-frequency Analysis of EEG Signals and Machine Learning. Huang, Tingwen (Red.). Proceedings of IEEE Symposium Series on Computational Intelligence (SSCI2019). KAPITTEL. s. 403-408.

Zhang, Jianhua; Ling, Chen; Li, Sunan (2019). EMG Signals based Human Action Recognition via Deep Belief Networks. IFAC-PapersOnLine . Vol. 52.

Cao, Z.; Yin, Zhong; Zhang, Jianhua (2019). Classification of mental workload levels using EEG and hybrid model of stacked denoising autoencoder. Proceedings of the 9th Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics. KAPITTEL. IEEE.
http://www.nichele.eu/ICDL-EPIROB_NSM/5-Cao.pdf

Pontes-Filho, Sidney; Yazidi, Anis; Zhang, Jianhua; Hammer, Hugo Lewi; Mello, Gustavo; Sandvig, Ioanna; Nichele, Stefano; Tufte, Gunnar (2019). A general representation of dynamical systems for reservoir computing. Proceedings of the 9th Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics. paper No. 8. IEEE.
https://arxiv.org/pdf/1907.01856.pdf

Li, J.; Zhang, Jianhua; Xia, J.; Chen, P. (2019). Mental workload classification based on semi-supervised extreme learning machine. Journal of East China University of Science and Technology (Natural Science Edition). Vol. 45.

Wen, Z.; Zhang, Jianhua; Pan, X. (2019). Quantitative Analysis of Functional Connectivity Between Prefrontal Cortex and Striatum. Journal of East China University of Science and Technology (Natural Science Edition). Vol. 45.

Tao, J.; Yin, Z.; Liu, L.; Tian, Y.; Sun, Z.; Zhang, Jianhua (2019). Individual-Specific Classification of Mental Workload Levels Via an Ensemble Heterogeneous Extreme Learning Machine for EEG Modeling. Symmetry . Vol. 11.

Yin, Zhong; Zhao, Mengyuan; Zhang, Wei; Wang, Yongxiong; Wang, Yagang; Zhang, Jianhua (2019). Physiological-signal-based mental workload estimation via transfer dynamical autoencoders in a deep learning framework. Neurocomputing . Vol. 347.

Yang, Shuo; Yin, Zhong; Wang, Yagang; Zhang, Wei; Wang, Yongxiong; Zhang, Jianhua (2019). Assessing cognitive mental workload via EEG signals and an ensemble deep learning classifier based on denoising autoencoders. Computers in Biology and Medicine . Vol. 109.





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