hajime igarashi

hajime igarashi

Hokkaido University

H-index: 30

Asia-Japan

About hajime igarashi

hajime igarashi, With an exceptional h-index of 30 and a recent h-index of 23 (since 2020), a distinguished researcher at Hokkaido University, specializes in the field of Engineering Optimal design Computational electromagnetics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Multi-objective optimization and uncertainty quantification for inductors based on neural network

Parameter-topology hybrid optimization of electric motor with multiple permanent magnets

Topology-Parameter Hybrid Optimization of Skewed Permanent Magnet Motor

Topology Optimization of Microstrip Lines with Experimental Validation

Reducing unwanted emissions of a wireless power transfer coil by using a parasitic loop element

Loss Evaluation of Magnetic Devices using Cauer Equivalent Circuit Identified from Input Impedance

Equivalent circuit of high frequency inductor to consider eddy currents and resonance

Design of thin dielectric lens for millimeter-wave antenna using high dielectric constant materials

hajime igarashi Information

University

Position

___

Citations(all)

3857

Citations(since 2020)

1967

Cited By

2486

hIndex(all)

30

hIndex(since 2020)

23

i10Index(all)

103

i10Index(since 2020)

54

Email

University Profile Page

Hokkaido University

Google Scholar

View Google Scholar Profile

hajime igarashi Skills & Research Interests

Engineering Optimal design Computational electromagnetics

Top articles of hajime igarashi

Title

Journal

Author(s)

Publication Date

Multi-objective optimization and uncertainty quantification for inductors based on neural network

COMPEL-The international journal for computation and mathematics in electrical and electronic engineering

Xiaohan Kong

Shuli Yin

Yunyi Gong

Hajime Igarashi

2024/4/30

Parameter-topology hybrid optimization of electric motor with multiple permanent magnets

International journal of applied electromagnetics and mechanics

Shogo Hayashi

Hajime Igarashi

2023/1/1

Topology-Parameter Hybrid Optimization of Skewed Permanent Magnet Motor

IEEE transactions on magnetics

Shogo Hayashi

Yoshihisa Kubota

Shingo Soma

Satoyoshi Oya

Hajime Igarashi

2023/1/25

Topology Optimization of Microstrip Lines with Experimental Validation

IEEE Transactions on Magnetics

Takuto Jibiki

Takeshi Kawasaki

Masahiro Tanomura

Hajime Igarashi

2023/9/7

Reducing unwanted emissions of a wireless power transfer coil by using a parasitic loop element

IEICE Communications Express

Hidetoshi Makimura

Hiroaki Sakamoto

Kengo Nishimoto

Yoshio Inasawa

Hajime Igarashi

2023/6/1

Loss Evaluation of Magnetic Devices using Cauer Equivalent Circuit Identified from Input Impedance

IEEE Transactions on Magnetics

Qiao Liu

Y Uehara

N Terauchi

N Sato

Y Matsuda

...

2023/8/10

Equivalent circuit of high frequency inductor to consider eddy currents and resonance

International Journal of Applied Electromagnetics and Mechanics

Qiao Liu

Yoshitsugu Otomo

Yunyi Gong

Hajime Igarashi

2023/1/1

Design of thin dielectric lens for millimeter-wave antenna using high dielectric constant materials

IEICE Technical Report; IEICE Tech. Rep.

Keiichi Itoh

Junya Satoh

Shun Togase

Masaki Tanaka

Hajime Igarashi

2023/1/19

Extended Cauer Equivalent Circuit Model of Inductors: Representing Multi-resonant Characteristics Due to Parasitic Capacitance

Yuki Sato

Kenji Kawano

Hajime Igarashi

Hirokazu Matsumoto

2023/3/19

Generalization Performance in Predicting Torque Characteristics Using Convolutional Neural Network and Stator Magnetic Flux

IEEE Transactions on Magnetics

Kazuhisa Iwata

Hidenori Sasaki

Hajime Igarashi

Daisuke Nakagawa

Tomoya Ueda

2023/8/9

Homogenized Finite Element Analysis for Multi-Turn Coils Considering Parasitic Capacitances

IEEE Transactions on Magnetics

Yuki Sato

Daisuke Ishii

Hirokazu Matsumoto

Hajime Igarashi

2023/9/5

A study on the High-Speed Inverse Analysis Method of Electrical Device Structures Using Deep Learning and Topology Optimization

電気学会研究会資料 (Web)

KAZUHISA IWATA

HIDENORI SASAKI

HAJIME IGARASHI

DAISUKE NAKAGAWA

TOMOYA UEDA

2023

Multi-Objective Automatic Design of Permanent Magnet Motor Using Monte Carlo Tree Search

IEEE transactions on magnetics

Hayaho Sato

Hajime Igarashi

2023/3/8

Parameter and Topology Optimizations for Wireless Power Transfer Device Considering Magnetic and Circuit Properties

IEEE Transactions on Magnetics

Yoshitsugu Otomo

Kazuki Sato

Ken Onozaka

Hajime Igarashi

2023/8/4

Topology Optimization of a Surface Permanent Magnet Motor with High Torque Density

IEEE Transactions on Magnetics

Shogo Hayashi

Manabu Yatsurugi

Yoshihisa Kubota

Shingo Soma

Hajime Igarashi

2023/9/4

Multi-objective optimization of permanent magnet motors using deep learning and CMA-ES

International journal of applied electromagnetics and mechanics

Ryosuke Mikami

Hayaho Sato

Shogo Hayashi

Hajime Igarashi

2023/1/1

Time-Domain Homogenized Finite Eddy Current Analysis Using Recursive Convolution Method

IEEE Transactions on Magnetics

Yuki Sato

Shingo Hiruma

Hajime Igarashi

Hirokazu Matsumoto

2023/2/14

Visual Interpretation of Topology Optimization Results Based on Deep Learning

IEEE Transactions on Magnetics

Hayaho Sato

Hajime Igarashi

2023/8/4

Z-Gradient Coil Design with Improved Anti-eddy Performance for MRI System with Opposed Permanent Magnets

Applied Magnetic Resonance

Xiaohan Kong

Zheng Xu

Sheng Shen

Jiamin Wu

Yucheng He

...

2023/9

Multi-objective topology design optimization combined with robust optimization

Journal of Advanced Mechanical Design, Systems, and Manufacturing

Akito MARUO

Norihiko ITANI

Ayano HASOME

Takashi YAMAZAKI

Hajime IGARASHI

2023

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