Time: 17:00 – 18:30 (JST), Aug 17, 2023.

Location: R205, Education & Research Building No. 8, Muroran Institute of Technology, 27-1 Mizumoto-cho, Muroran, Hokkaido, 0508585 Japan.

CO-ORGANIZED BY:

IEEE Muroran Institute of Technology Student Branch

IEEE Sapporo Section Young Professionals (YP)

Emerging Networks and Systems Laboratory (ENeS), Muroran Institute of Technology

Topic: 超広帯域無線方式を用いた通信とセンシング技術

Speaker: Kohei Ohno, Associate Professor, Meiji University, Japan

Abstract:

In recent years, Ultra Wideband (UWB) wireless technology has gained attention from academia and industry. This technology spreads the bandwidth, enabling communication and distance measurement simultaneously. Therefore, it can be utilized in advanced transportation systems and a Body Area Network. Recently, it has been incorporated into Apple’s smartphone iPhone, increasing its visibility. In this presentation, the fundamentals and applications of UWB technology are introduced, focusing on the following research achievements. Furthermore, International activities representing an IEEE volunteer and a visiting researcher at Eindhoven University of Technology are introduced.

Interference mitigation and avoidance techniques between UWB and other wireless systems
Human detection technology considering disaster scenarios
Transmission path prediction technology using machine learning
Biography:

Kohei Ohno received the B.E. M.E. and Dr. E. degrees in electrical engineering from Meiji University, Japan, in 2002, 2004, and 2008, respectively. From 2008 to 2013, he was an assistant professor at Tokyo University of Science. In 2013, he joined the School of Interdisciplinary Mathematical Sciences at Meiji University, and he has been an associate professor since 2017. From 2019 to 2020, he was a visiting researcher at Eindhoven University of Technology, the Netherlands. His major areas of interest include wireless communication, modulation, ultra-wideband radio systems, and intelligent transport systems.

Contact:

Emerging Networks and Systems Laboratory (ENeS)