Academic Staff and Fellows

Kengo Sugahara: Associate Professor Ph.D. in Engineering; Department/Electrical, Electronic and Communication Engineering　 Graduate school/Electronic Engineering

Computer Aided Engineering (CAE), a simulation-based design technology, has seen rapid adoption in electrical equipment design in recent years. By integrating CAE with Artificial Intelligence (AI), we aim to realize the fully automated design of electrical devices.

3-layer improvised absorbing boundary condition

Research Area	Artificial intelligence Electromagnetic analysis Accelerator physics
Teaching (Undergraduate Course)	Electromagnetics, Electric machine
Teaching (Graduate Course)	Numerical Electromagnetic analysis
Research Interests	Leveraging the synergy between AI and electromagnetic analysis to realize autonomous design optimization for electrical equipment and accelerator components.
Selected Publications	A. Kameari, H. Ebrahimi, K. Sugahara, Y. Shindo and T. Matsuo, "Cauer Ladder Network Representation of Eddy-Current Fields for Model Order Reduction Using Finite-Element Method," in IEEE Transactions on Magnetics, vol. 54, no. 3, pp. 1-4, March 2018, Art no. 7201804, doi: 10.1109/TMAG.2017.2743224. K. Sugahara, "Electromagnetic Analysis of Eddy Current Testing With Kelvin Transformation," in IEEE Transactions on Magnetics, vol. 58, no. 9, pp. 1-6, Sept. 2022, Art no. 6201806, doi: 10.1109/TMAG.2022.3194371. K. Sugahara, "Perturbation approach for open boundary problems based on the equivalence theorem," 2016 Progress in Electromagnetic Research Symposium (PIERS), Shanghai, 2016, pp. 2478-2483, doi: 10.1109/PIERS.2016.7735020.
Research and Achievements	07_sugahara_kengo.pdf
Affiliated Academic Societies	Institute of Electrical and Electronics Engineers，The Institute of Electrical Engineers of Japan，The Institute of Electronics, Information and Communication Engineers
External Activity	Board Member, International Compumag Society
Education (Undergraduate Course)	BE form Keio University
Education (Master's/Doctral Course)	ME form Kyoto University DE form Hosei University
Title of Thesis, Institute, Date	Research on LF Near-Field Magnetic Analysis and Its Applications Using the Modified Inductance Matrix Method, Hosei University, September 2007
Biography	Mitsubishi Electric Corp., Advanced Technology R&D Center (2001–2010) Mitsubishi Electric Corp., Kobe Works (2010–2014)
Awards	EST Best Paper Presentation Award, 2015 The 66th Electrical Engineering Merit Award, 2019 IAS TSC First Prize, 2020 MSJ Distinguished Paper Award, 2021 Power Academy Exploratory Research Excellence Award, 2025
Message to Students	I encourage you to embrace challenges rather than seeking shortcuts. The success you earn through hard work will be an invaluable asset for the rest of your life. Think of research as mountain climbing. Once you conquer a peak, the vista from the summit is incomparable. I look forward to seeing you strive for even greater heights in your future careers.
Interests and Others	Ice hockey

CAE-AI Laboratory

Office Location	Building 31, 2nd Floor
E-mail	ksugahar（at）kindai.ac.jp Note that this e-mail address has replaced the "@" with "(at)" to prevent spam. When e-mailing, replace the "(at)" with "@".