Prof. Dr. Yoichi Hayashi has been appointed Section Editor-in-Chief of ‘Artificial Intelligence’ in Electronics, effective June 2019. The Artificial Intelligence section mainly covers topics of interest within hardware-based deep learning AI and algorithmic deep learning AI using machine learning. The purpose of this section is to bring together researchers and engineers, from both academia and industry, to present novel ideas and solid research on the hardware and algorithmic aspects of the industrial applications of deep learning-based AI.
Yoichi Hayashi joined the Computer Science Department of Ibaraki University, Japan, as an Assistant Professor in 1986. Since 1996, he has been a Full Professor at the Computer Science Department, Meiji University, Tokyo. He has also been a Visiting Professor at the University of Alabama in Birmingham, USA, and the University of Canterbury in New Zealand and has authored over 230 published computer science papers.
Professor Hayashi's research interests include deep learning (DBN, CNN), especially the black box nature of deep neural networks and shallow neural networks, transparency, interpretability and explainability of deep neural networks, rule extraction, high-performance classifiers, advanced data mining, big data analytics, and medical informatics. He has been the Action Editor of Neural Networks and the Associate Editor of IEEE Trans. Fuzzy Systems and Artificial Intelligence in Medicine. Overall, he has served as an associate editor, guest editor, or reviewer for 50 academic journals. He has been a senior member of the IEEE since 2000.
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