Researcher Database

（Last updated : 2025-11-10 15:50:43）　

MASUGI Masao

Department / Course College of Science and Engineering Department of Electronic and Computer Engineering

Title / Position Professor

Other Affiliations
1.	College of Science and Engineering Department of Electrical and Electronic Engineering
2.	Graduate School of Science and Engineering

Academic background
1.	1994/03 Degree Acquisition	│ Keio University Dr. of Engineering
2.	～1987/03	Electrical Engineering │ Faculty of Science and Engineering │ Keio University │ Graduated
3.	～1989/03	Master Course │ Electrical Engineering Major │ Graduate School, Division of Science and Engineering │ Keio University │ Completed

Subject of research
1.	Environmental information Measurement
2.	Bio-Engineering

Research summary
Environment information measurement and biomechanics ○Environment information measurement. In recent years, global warming is drawing attention as a serious social issue. For this phenomenon, thunder activities and rainfall are effective observation indexes in addition to changes in atmospheric temperature. This study aims at establishing a signal measurement processing technology for quantifying global environmental changes based on electromagnetic field measurement processing accompanying thunder activities and by also incorporating meteorological data. In themes related to disaster prevention, studies will also be made for geo-electromagnetism phenomena measurement processing methods observed prior to the occurrence of a large-scale earthquake and signal measurement processing studies such as body detection and identification using radar technology. ○Biomechanics This study deals with bio-electromagnetic engineering field which focuses on effects of electromagnetic fields on living systems, and with bio-signal processing research. The former will conduct research in the assessment of effects of transitional field variance to the living systems (theme in pulse power issue domain) and further onto influence analysis on living systems using neural models, aimed at establishing quantification of the effects of electromagnetic field on to living systems. The latter aims at elucidation of human autonomic nerve and recognition functions through the measurement processing of living signals such as EEG and blood flow.

Present specialized field
Measurement Engineering, Signal processing, Others (Keyword：Electromagnetic wave, Thunder, Earthquake, Signal measurement, Signal prosessing, Pulse power)

Books
1.	2023/08	Introduction to Communication Network Engineering
2.	2019/08	Basis and Application of Pulsed Power │ ,pp.224-228
3.	2019/04	Electromagnetic interference to electronic equipment and communication by transient magnetic fields │ ,pp.26-28
4.	2015/12	Electromagnetic noise properties EMC problems by transient magnetic fields │ ,pp.17-19
5.	2013/04	Signal Analisys │ ,pp.1-162
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Papers
1.	2025/11/05	A Recurrent Neural Network Approach to Predicting Large Earthquakes │ PhotonIcs & Electromagnetics Research Symposium 2025 │ (ID:250529093943)
2.	2025/11/05	Bioluminescent Response in Plant Leaves Generated by Magnetic Fields of Multiple Frequencies │ PhotonIcs & Electromagnetics Research Symposium 2025 │ (ID:250529035018)
3.	2025/11/05	Doppler Radar-based Detection of Bicycle Wobbling While Using Smartphones │ PhotonIcs & Electromagnetics Research Symposium 2025 │ (ID:250528090321)
4.	2025/04	Remote estimation of pedestrian's height using micro-Doppler radar │ IEEJ Trans. on Electronics Information and Systems │ 145 (4),pp.512-513
5.	2024/12	Abnormal Movement Detection when Walking on Stairs using Doppler Radar │ IEEJ Trans. on Electronics Information and Systems │ 144 (12),pp.1247-1248
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Academic conference presentation
1.	2025/09/03	Prediction of Lightning Discharge using Multi-Layer Neural Network
2.	2025/09/03	Recurrent Neural Networks-Based Prediction of Large Earthquakes
3.	2025/08/28	Doppler Radar-based Detection of Bicycle Wobbling While using Smartphones
4.	2025/08/27	Classification and Prediction of Cycling Behaviors Using Doppler and FMCW Radars
5.	2024/03/11	Doppler radar-based recognition of bicycle motions
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Works
1.	2023/01/12	Introduction to lightning science