Jianhua Zhang is Professor at Applied AI Group, Department of Computer Science, OsloMet. He received his PhD in electrical engineering and information sciences from Ruhr University Bochum, Germany, and did postdoc. as Research Associate at Intelligent Systems Research Lab, The University of Sheffield, UK. He has published four books, ten invited book chapters, and over 130 referred journal and conference papers. He serves as Chair of IFAC (International Federation of Automatic Control) Technical Committee on Human Machine Systems and is on the Editorial Board of four international journals: Frontiers in Neuroscience; Cognitive Neurodynamics (Springer); Cognition, Technology & Work (Springer); and Heliyon (Elsevier).
- Computational Intelligence
- Machine Learning and Pattern Recognition
- Intelligent Systems and Control
- Intelligent Data Modeling and Analysis
- Human-Machine Systems
- Brain-Machine Interaction
- Neurocomputing and Physiological Computing
Datateknologi, Teknisk kybernetikk
Kunstig intelligens, Maskinlæring, Mønstergjenkjenning, Reguleringsteknikk, Datagruvedrift, Nevroinformatikk, Intelligente systemer, Mann maskin stystem, Beregnende intelligens, Non Stationary signal analysis
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.
Wen, Zaizhi; Zhang, Jianhua; Pan, Xiaochuan; Wang, Rubin (2018). Quantitative Analysis of Functional Connectivity Between Prefrontal Cortex and Striatum in Monkey. Delgado-García, J.M.; Zhang, Jianhua (Red.). Advances in Cognitive Neurodynamics (VI). Chapter 44. s. 351-358. Springer Nature.
Wen, Zaizhi; Zhang, Jianhua; Pan, Xiaochuan (2018). A Comparison of Reward Values Encoding Function Between the Prefrontal Cortex and Striatum in Monkey. Delgado-García, J.M.; Zhang, Jianhua (Red.). Advances in Cognitive Neurodynamics (VI). Chapter 4. s. 27-34. Springer Nature.
Delgado-García, J.M.; Zhang, Jianhua (2018). Advances in Cognitive Neurodynamics (VI). ISBN: 978-981-10-8854-4. 407 s. Springer Nature.
Zhang, Jianhua; Sahu, Rabin (2018). Multi-objective optimization of retail promotional ordering with probabilistic forecast. Proceedings of the 7th International Conference on Information Systems, Logistics and Supply Chain (ILS Conference 2018). Chapter 6. s. 63-72.
Zhang, Jianhua (2018). Proceedings of the 7th International Conference on Information Systems, Logistics and Supply Chain (ILS Conference 2018). ISBN: 978-3-319-73757-7. 724 s.
Chen, Peng; Zhang, Jianhua (2018). EEG-based emotion recognition through kernel spectral regression and random forest approaches. Journal of East China University of Science and Technology (Natural Science Edition). Vol. 44.
Zhang, Jianhua; Xia, Jiajun; Wang, Rubin (2018). Modeling and Supervisory Control of Hybrid Dynamical Systems via Fuzzy l-complete Approximation Approach. Nonlinear Analysis. Hybrid Systems. . Vol. 27.
Yin, Zhong; Zhang, Jianhua (2018). Task-generic mental fatigue recognition based on neurophysiological signals and dynamical deep extreme learning machine. Neurocomputing . Vol. 283.
Zhang, Jianhua (2019). Recent Applied Research Projects in AI and Machine Learning: An Overview. CS Department Community Building Lunch.
Schou, Ingrid; Zhang, Jianhua (2018). Scientific comments on a research paper by Stanford group on an electronic skin and its potential in intelligent robotics.
Zhang, Jianhua (2018). EEG-based Emotion Recognition Using Machine Learning Algorithms. OsloMet Faculty TKD day.
Zhang, Jianhua (2018). Encoding and Prediction of Reward Values in Monkey Prefrontal Cortex and Striatum. OsloMet Applied AI Group Seminar series.
Zhang, Jianhua (2018). EEG-based Emotion Recognition Using Machine Learning Algorithms. Tale’s conference on AI – AIM2 North Symposium.