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
Artificial intelligence Machine learning Pattern Recognition Control technology Datamining Neuroinformatics Intelligent systems Human-machine system Computational intelligence Non Stationary signal analysis
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.
Cao, Zixuan; Yin, Zhong; Zhang, Jianhua (2020). The Mental Workload Rating Method Based on Stacking Model Fusion Strategy. Software Guide. Vol. 19.
Zheng, Zhanpeng; Yin, Zhong; Zhang, Jianhua
An ELM-based Deep SDAE Ensemble for Inter-Subject Cognitive Workload Estimation with Physiological Signals.
Chinese Control Conference (CCC)
Zhang, Jianhua (2022). Emotion Recognition Using EEG Signals and Machine Learning (Keynote lecture). 2022 Intl. Conf. on Machine Learning and Knowledge Engineering (MLKE2022).
Zhang, Jianhua (2021). Undervisnings film om kyberteknologi for NDLA (As an expert interviewed in the program for a general introduction to cyborg technology).
Zhang, Jianhua; Chen, Peng; Wang, Rubin (2021). EEG-Based Emotion Classification Using Entropy Features and Machine Learning Techniques. Villa, Alessandro E. P.; Lintas, Alessandra (Ed.). Advances in Cognitive Neurodynamics (VII). Chapter 2. p. 15-26. Springer Nature.
Zhang, Jianhua (2020). EEG-based Human Emotion Recognition Using Machine Learning. 3rd Intl. Conf. on Big Data and Artificial Intelligence (BDAI2020).
Pontes-Filho, Sidney; Lind, Pedro; Yazidi, Anis; Zhang, Jianhua; Hammer, Hugo Lewi; Mello, Gustavo; Sandvig, Ioanna; Tufte, Gunnar; Nichele, Stefano (2020). EvoDynamic: A Framework for the Evolution of Generally Represented Dynamical Systems and Its Application to Criticality. 23rd European Conference on the Applications of Evolutionary and bio-inspired Computation. Pedro Castillo.
Zhang, Jianhua (2019). Recent Advances in AI Research at OsloMet. Seminar at IBM Norway.
Zhang, Jianhua (2019). Recent Advances in Applied Machine Learning (Popular science AI presentation at OsloMet AI Lab opening ceremony, April 26, 2019, OsloMet). OsloMet AI Lab opening ceremony.
Zhang, Jianhua (2019). Recent Advances in AI and ML at OsloMet AI Lab (Invited Keynote Talk at NORA Kick-Off Meeting, April 1, 2019, UiO). NORA Kick-Off Meeting. NORA.
Pontes-Filho, Sidney; Yazidi, Anis; Zhang, Jianhua; Hammer, Hugo Lewi; Mello, Gustavo; Sandvig, I.; Tufte, Gunnar; Nichele, Stefano (2019). A general representation of dynamical systems for reservoir computing. Workshop on Novel Substrates and Models for the Emergence of Developmental, Learning and Cognitive Capabilities, 9th Joint IEEE Int Conf. on Development and Learning and on Epigenetic Robotics (IEEE ICDL-EPIROB 2019). UiO.
Cao, Z.; Yin, Zhong; Zhang, Jianhua (2019). Classification of mental workload levels using EEG and hybrid model of stacked denoising autoencoder. Workshop on Novel Substrates and Models for the Emergence of Developmental, Learning and Cognitive Capabilities, 9th Joint IEEE Int Conf. on Development and Learning and on Epigenetic Robotics (IEEE ICDL-EPIROB 2019). UiO.