About
Jianhua Zhang has been Professor in AI 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 in intelligent systems at East China U. of Science and Technology (Shanghai, China) between 2007 and 2017. He received PhD from Ruhr University Bochum, Germany and did postdoc. at University of Sheffield, UK. He was Guest Scientist at Dresden University of Technology from 2002 to 2003 and Visiting Professor at Technical University of Berlin during 2008-2015. His research interests include computational intelligence, machine learning, intelligent control, biomedical signal processing, neuroergonomics, and affective computing. He has published 4 books, 11 book chapters, and over 200 technical papers (including over 80 journal 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 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
Countries
Research groups
Publications and research
Scientific publications
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.
Hua, Yue; Zhong, Xiaolong; Zhang, Bingxue; Yin, Zhong; Zhang, Jianhua (2021). Manifold feature fusion with dynamical feature selection for cross-subject emotion recognition. 24 p. Brain Sciences . Vol. 11.
Zhang, Jianhua; Li, Jianrong (2020). Classifying Mental Workload Levels Using Semi-Supervised Learning Technique. IFAC-PapersOnLine . Vol. 53.
Zhang, Jianhua; Yin, Zhong (2020). Operator Performance Prediction based on Fuzzy Modeling Approach. IFAC-PapersOnLine . Vol. 53.
Zhang, Jianhua; Liu, Xiuling (2020). Automatic Analysis of Large-scale Nanopore Data Using Hidden Markov Models. IFAC-PapersOnLine . Vol. 53.
Zhang, Jianhua; Xia, Jiajun (2020). Hierarchical MPC of Hybrid Power Systems based on Fuzzy Discrete Abstraction. IFAC-PapersOnLine . Vol. 53.
Zhang, Jianhua; Chen, Peng (2020). Selection of Optimal EEG Electrodes for Human Emotion Recognition. IFAC-PapersOnLine . Vol. 53.
Cao, Zixuan; Yin, Zhong; Zhang, Jianhua (2020). The Mental Workload Rating Method Based on Stacking Model Fusion Strategy. Software Guide. Vol. 19.
Zhang, Jianhua; Li, Jianrong; Wang, Rubin (2020). Instantaneous mental workload assessment using time–frequency analysis and semi-supervised learning. Cognitive Neurodynamics . Vol. 14.
Zheng, Zhanpeng; Yin, Zhong; Zhang, Jianhua
(2020).
An ELM-based Deep SDAE Ensemble for Inter-Subject Cognitive Workload Estimation with Physiological Signals.
Chinese Control Conference (CCC)
.
https://ieeexplore.ieee.org/document/9188806
