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－　　－22Yuto OMAEAssistant Professor, Department of Industrial Engineering and ManagementYuto Omae has been an assistant professor at the Department of Industrial Engineering and Management, College of Industrial Technology, Nihon University, Japan since April 2019. He received his doctoral degree in Engineering from the Department of Information Science and Control Engineering, Nagaoka University of Technology, Japan in 2016. His research interests include artificial intelligence, machine learning, mathematical models, signal processing, and infectious disease simulation. He has received the “IEEE Young Researcher Award (Computational Intelligence),” the “JACIII Young Researcher Award (Journal of Advanced Computational Intelligence and Intelligent Informatics),” the “Best Paper Award for ICICIC2018 (Deep Learning),” and others. He is a member of the Institute of Electrical and Electronics Engineers (IEEE), the Institute of Electronics, Information and Communication Engineers (IEICE), the Japanese Society for Articial Intelligence (JSAI), and the Japan Society for Fuzzy Theory and Intelligent Informatics (J-SOFT).Research Achievements1)SIR model-based verification of effect of COVID-19 Contact-Confirming Application (COCOA) on reducing infectors in Japan, Mathematical Biosciences and Engineering, vol.18, issue 5, pp.6506-6526, 2021. doi: 10.3934/mbe.20213232)A Novel Deep Learning Optimization Algorithm for Human Motions Anomaly Detection, International Journal of Innovative Computing, Information and Control, vol.15, no.1, pp.199-208, 2019. doi: 10.24507/ijicic.15.01.1993)Impact of removal strategies of stay-at-home orders on the number of COVID-19 infectors and people leaving their homes, International Journal of Innovative Computing, Information and Control, vol.17, no.3, pp.1055-1065, 2021. doi: 10.24507/ijicic.17.03.10554)Algorithm for Detection of Effective Study Logs Based on Time-Driven Hypothesis Test and Implementing It in a CSCL System, IEICE Transactions on Information and Systems, Vol. J103–D, No. 12, pp.906–918, 2020. doi:10.14923/transinfj.2020JDP70125)A Development of a Data Mining System for Mutual Viewing-based Learning, IEICE Transactions on Information and Systems, Vol.J102–D No.4, pp. 257–266, 2019. doi: 10.14923/transinfj.2018DEP0002