Jianhua Zhang has been Professor in Computer Science 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 at East China University of Science and Technology (Shanghai, China) between 2007 and 2017. He received PhD from Ruhr University Bochum, Germany and did postdoc. at The University of Sheffield, UK. He was Guest Scientist at Dresden University of Technology, Germany from 2002 to 2003 and Visiting Professor at Technical University of Berlin, Germany during 2008-2015. His research interests include computational intelligence, machine learning and pattern recognition, data modeling and analytics, intelligent systems and control, modeling and control of complex systems, biomedical signal processing and data analysis, and neurocomputing (in particular, neuroergonomics and affective computing). He serves as Chair of IFAC (International Federation of Automatic Control) Technical Committee on Human-Machine Systems for two consecutive terms (2017-2023), 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
; Yin, Zhong; Chen, Peng
EEG-based affect classification with machine learning algorithms.
Ishi, Hideaki (Ed.).
22nd IFAC World Congress.
Zheng, Zhanpeng; Yin, Zhong; Wang, Yongxiong;
Inter-subject cognitive workload estimation based on a cascade ensemble of multilayer autoencoders.
Expert Systems With Applications.
Mozaffari, Leila; Brekke, M.M.; Gajaruban, B.; Purba, D.;
Facial Expression Recognition Using Deep Neural Network.
Nichele, Stefano (Ed.).
IEEE Conference Proceedings: 2023 3rd International Conference on Applied Artificial Intelligence (ICAPAI).
IEEE conference proceedings.
; Elmi, M.; Tsechoev, M.; Khan, Z.; Osman, A.
Household Energy Consumption Prediction: A Deep Neuroevolution Approach.
Nallanathan, Arumugam (Ed.).
AI2A '23: Proceedings of the 2023 3rd International Conference on Artificial Intelligence, Automation and Algorithms. p. 164-168.
Association for Computing Machinery (ACM).
Kim, Moon Keun
; Cremers, Bart; Liu, Jiying;
; Wang, Junqi
Prediction and correlation analysis of ventilation performance in a residential building using artificial neural network models based on data-driven analysis.
Sustainable Cities and Society (SCS).
Hua, Yue; Zhong, Xiaolong; Zhang, Bingxue; Yin, Zhong;
Manifold feature fusion with dynamical feature selection for cross-subject emotion recognition.
Zhang, Jianhua ; Chen, Peng (2020). Selection of Optimal EEG Electrodes for Human Emotion Recognition. IFAC-PapersOnLine. Vol. 53.
Zhang, Jianhua ; Liu, Xiuling (2020). Automatic Analysis of Large-scale Nanopore Data Using Hidden Markov Models. IFAC-PapersOnLine. Vol. 53.
; Li, Jianrong;
Instantaneous Mental Workload Recognition Using Wavelet-Packet Decomposition and Semi-Supervised Learning.
Huang, Tingwen (Ed.).
Proceedings of IEEE Symposium Series on Computational Intelligence (SSCI2019). p. 410-416.
IEEE (Institute of Electrical and Electronics Engineers).
Zhong, Xiaolong; Yin, Zhong;
Cross-Subject emotion recognition from EEG using Convolutional Neural Networks.
Chinese Control Conference (CCC).
Pontes Filho, Sidney; Nichele, Stefano ; Yazidi, Anis ; Zhang, Jianhua ; Hammer, Hugo Lewi ; Sandvig, Ioanna; Tufte, Gunnar (2023). Optimization of dynamical systems towards criticality and intelligent behavior. ISBN: 978-82-326-6953-0. 179 p. Norges teknisk-naturvitenskapelige universitet.
Zhang, Jianhua (2023). Household Energy Consumption Prediction: A Deep Neuroevolution Approach. 3rd Int. Conf. on Artificial Intelligence, Automation and Algorithms (AI2A’23).
Zhang, Jianhua (2023). EEG-based affect classification with machine learning algorithms (Associate Editor for HMS field, session co-chair). 22nd IFAC World Congress.
Zhang, Jianhua (2023). Opening address and moderator/chair for keynote session (as the Program Chair of the conference). 2023 8th Int. Conf. on Machine Learning Technologies (ICMLT 2023).
Mozaffari, Leila; Zhang, Jianhua (2023). Facial Expression Recognition Using Deep Neural Network. 3rd Int. Conf. On Applied Artificial Intelligence (ICAPAI’23).
Zhang, Jianhua (2022). Emotion Recognition Using EEG Signals and Machine Learning (Keynote lecture). 2022 Intl. Conf. on Machine Learning and Knowledge Engineering (MLKE2022).
Soudaei, A.; Zhang, Jianhua (2022). Energy Consumption Prediction by Use of Deep Neuroevolution Strategy. Int. Conf. on Cognitive Neurodynamics (ICCN2021).
Zhang, Jianhua (2022). Keynote Talk: Emotion Recognition Using EEG Signals and Machine Learning. 2022 Int. Conf. on Machine Learning and Knowledge Engineering (MLKE2022).
Zhang, Jianhua (2022). Keynote talk: Energy Consumption Forecasting based on Deep Neuroevolution Model. 6th Int. Conf. on Advances in Artificial Intelligence (ICAAI2022).
Zhang, Jianhua (2022). Opening Address (as the main organizer and meeting moderator). Annual Meeting of IEEE Norway Section, 2022.
Zhang, Jianhua (2022). EEG-based Prediction of Operator Functional State Using Evolutionary Fuzzy Models. Big Brain 2022. Fudan University.