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THE 12TH VIETNAM - JAPAN SCIENTIFIC EXCHANGE MEETING

--Connect the Present, Shaping the Future--

2022 SEPTEMBER 17TH, ONLINE

PROGRAM

SESSION 1

Information Science and Control Engineering

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Assoc. Prof. Akiko Manada

Department of Electrical Engineering, Nagaoka University of Technology

Key words: Constrained Coding, Graph Theory, Shannon Cover, Data Storage Media

Introduction on Constrained Coding for DNA Storage

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Akiko Manada received the M.S. degree from Tsuda College, Tokyo, Japan, in 2004, and the Ph.D. degree in Mathematics from Queen’s University, Kingston, Canada, in 2009. She then worked at Claude Shannon Institute at University College Dublin, Ireland, as a postdoctoral fellow from 2009 through 2011. She was an assistant professor at the University of Electro-Communications, Tokyo, Japan from 2012 to 2018, and a lecturer at Shonan Institute of Technology, Kanagawa, Japan from 2018 to 2021. Since April 2021, she has been an associate professor at Department of Electrical, Electronics and Information Engineering, Nagaoka University of Technology, Niigata.

 

Her research interests are discrete mathematics (especially in graph theory) and its applications towards coding theory. In particular, she has been working on theoretical research on constrained coding for data storage media.

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Assoc. Prof. Nambu Isao

Department of Electrical Engineering, Nagaoka University of Technology

Keywords: BCI, EEG, Machine Learning

Development of Brain-Computer Interfaces towards Assisting of Human Actions

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Isao Nambu received his doctoral degree in engineering from the Nara Institute of Science and Technology in 2010. From 2012 to 2017, he was an assistant professor at the Nagaoka University of Technology. Since 2017, he is an associate professor at the Nagaoka University of Technology. His research interests include neuroimaging, brain-computer interfaces, and human auditory processing.

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Assoc. Prof. Hoang Van Dung

Faculty of Information Technology, Ho Chi Minh City University of Technology and Education, Vietnam

Keywords: Deep Learning, Image Processing, Multiple Classification, Semantic Segmentation

Shallow and Deep Learning Approaches for Disease Diagnosis using Skin Images

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VAN-DUNG HOANG received the Ph.D. degree from the University of Ulsan, South Korea, in 2014. He was associated  and joined as a visitting researcher with the Intelligence Systems Laboratory, University of Ulsan , 2015. He joined the  Robotics Laboratory on Artificial Intelligence, Telecom SudParis as a postdoctoral fellow, 2016.  He has been serving as an associate professor in computer science with AI Laboratory, Faculty of Information Technology, Ho Chi Minh City University of Technology and Education, Vietnam. He has published numerous research articles in ISI, Scopus indexed, and high-impact factor journals. He has been actively participating as a member of the societies as IEEE, IEEE RAS, ICROS. His research interests include a wide area, which focuses on pattern recognition, machine learning, medical image processing, computer vision application, visionbased robotics and ambient intelligence.

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