About
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.
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
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
Cao, Zixuan; Yin, Zhong; Zhang, Jianhua (2020). Recognition of cognitive load with a stacking network ensemble of denoising autoencoders and abstracted neurophysiological features. Cognitive Neurodynamics .
Zhang, Jianhua; Yin, Zhong; Chen, Peng; Nichele, Stefano (2020). Emotion recognition using multi-modal data and machine learning techniques: A tutorial and review. Information Fusion . Vol. 59.
Zhong, Xiaolong; Yin, Zhong; Zhang, Jianhua (2020). Cross-Subject emotion recognition from EEG using Convolutional Neural Networks. Chinese Control Conference (CCC) . Vol. 2020-.
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.
Castillo, Pedro A.; Laredo, Juan Luis Jiménez; de Vega, Francisco Fernández (Ed.).
Applications of Evolutionary Computation. Mangler. p. 133-148.
Springer.
https://hdl.handle.net/11250/2724664
Pontes-Filho, Sidney; Lind, Pedro; Yazidi, Anis; Zhang, Jianhua; Hammer, Hugo Lewi; Mello, Gustavo; Sandvig, Ioanna; Tufte, Gunnar; Nichele, Stefano
(2020).
A neuro-inspired general framework for the evolution of stochastic dynamical systems: Cellular automata, random Boolean networks and echo state networks towards criticality.
Cognitive Neurodynamics
.
https://hdl.handle.net/11250/2657791
Zhang, Jianhua; Li, Jianrong; Nichele, Stefano (2020). Instantaneous Mental Workload Recognition Using Wavelet-Packet Decomposition and Semi-Supervised Learning. Huang, Tingwen (Ed.). Proceedings of IEEE Symposium Series on Computational Intelligence (SSCI2019). KAPITTEL. p. 410-416. IEEE. 10.1109/SSCI44817.2019.9002997
Zhang, Jianhua; Chen, Peng; Nichele, Stefano; Yazidi, Anis (2020). Emotion Recognition Using Time-frequency Analysis of EEG Signals and Machine Learning. Huang, Tingwen (Ed.). Proceedings of IEEE Symposium Series on Computational Intelligence (SSCI2019). KAPITTEL. p. 403-408. IEEE. 10.1109/SSCI44817.2019.9003057
Zhang, Jianhua; Ling, Chen; Li, Sunan (2019). EMG Signals based Human Action Recognition via Deep Belief Networks. IFAC-PapersOnLine . Vol. 52.
