Yusuke Sakamoto

- Email:
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Position:
Research / Technical Staff
Visiting Research Scientist -
Education:
M.S., University of Tokyo, 2011 -
Research Areas:
Yusuke's Quick Links
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Biography
Yusuke joined Mitsubishi Electric Corporation in 2011 and is currently engaged in research and development of electric machines. His special fields of interest include electric machines, computational electromagnetism, design optimization, and model-based design. He is also a Ph.D. candidate in Mechanical Engineering at Kyoto University, Japan.
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Recent News & Events
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NEWS MERL researchers presented four papers and organized a special session at The 14th IEEE International Electric Machines and Drives Conference Date: May 15, 2023 - May 18, 2023
Where: San Francisco, CA
MERL Contacts: Dehong Liu; Yusuke Sakamoto; Anantaram Varatharajan; Bingnan Wang
Research Areas: Applied Physics, Control, Electric Systems, Machine Learning, Optimization, Signal ProcessingBrief- MERL researchers Yusuke Sakamoto, Anantaram Varatharajan, and
Bingnan Wang presented four papers at IEMDC 2023 held May 15-18 in San Francisco, CA. The topics of the four oral presentations range from electric machine design optimization, to fault detection and sensorless control. Bingnan Wang organized a special session at the conference entitled: Learning-based Electric Machine Design and Optimization. Bingnan Wang and Yusuke Sakamoto together chaired the special session, as well as a session on: Condition Monitoring, Fault Diagnosis and Prognosis.
The 14th IEEE International Electric Machines and Drives Conference: IEMDC 2023, is one of the major conferences in the area of electric machines and drives. The conference was established in 1997 and has taken place every two years thereafter.
- MERL researchers Yusuke Sakamoto, Anantaram Varatharajan, and
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NEWS Bingnan Wang gave seminar talk at WEMPEC in University of Wisconsin-Madison Date: October 28, 2022
MERL Contacts: Dehong Liu; Yusuke Sakamoto; Bingnan Wang; Jinyun Zhang
Research Areas: Applied Physics, Data Analytics, Multi-Physical ModelingBrief- MERL researcher Bingnan Wang gave seminar talk at Wisconsin Electric Machines and Power Electronics Consortium (WEMPEC), which is recognized globally for its sustained contributions to electric machines and power electronics technology. He gave an overview of MERL research, especially on electric machines, and introduced our recent work on quantitative eccentricity fault diagnosis technologies for electric motors, including physical-model approach using improved winding function theory, and data-driven approach using topological data analysis to effectively differentiate signals from different fault conditions.
The seminar was given on Teams. MERL researchers Jin Zhang, Dehong Liu, Yusuke Sakamoto and Bingnan Wang held meetings with WEMPEC faculty members before the seminar to discuss various research topics, and met virtually with students after the talk.
- MERL researcher Bingnan Wang gave seminar talk at Wisconsin Electric Machines and Power Electronics Consortium (WEMPEC), which is recognized globally for its sustained contributions to electric machines and power electronics technology. He gave an overview of MERL research, especially on electric machines, and introduced our recent work on quantitative eccentricity fault diagnosis technologies for electric motors, including physical-model approach using improved winding function theory, and data-driven approach using topological data analysis to effectively differentiate signals from different fault conditions.
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MERL Publications
- "Comparison of Learning-based Surrogate Models for Electric Motors", Conference on the Computation of Electromagnetic Fields (COMPUMAG), May 2023.BibTeX TR2023-042 PDF
- @inproceedings{Xu2023may,
- author = {Xu, Yihao and Wang, Bingnan and Sakamoto, Yusuke and Yamamoto, Tatsuya and Nishimura, Yuki},
- title = {Comparison of Learning-based Surrogate Models for Electric Motors},
- booktitle = {Conference on the Computation of Electromagnetic Fields (COMPUMAG)},
- year = 2023,
- month = may,
- url = {https://www.merl.com/publications/TR2023-042}
- }
, - "Electric Motor Surrogate Model Combining Subdomain Method and Neural Network", Conference on the Computation of Electromagnetic Fields (COMPUMAG), May 2023.BibTeX TR2023-041 PDF
- @inproceedings{Sakamoto2023may2,
- author = {Sakamoto, Yusuke and Xu, Yihao and Wang, Bingnan and Yamamoto, Tatsuya and Nishimura, Yuki},
- title = {Electric Motor Surrogate Model Combining Subdomain Method and Neural Network},
- booktitle = {Conference on the Computation of Electromagnetic Fields (COMPUMAG)},
- year = 2023,
- month = may,
- url = {https://www.merl.com/publications/TR2023-041}
- }
, - "Tandem Neural Networks for Electric Machine Inverse Design", IEEE International Electric Machines and Drives Conference (IEMDC), May 2023.BibTeX TR2023-040 PDF
- @inproceedings{Xu2023may2,
- author = {Xu, Yihao and Wang, Bingnan and Sakamoto, Yusuke and Yamamoto, Tatsuya and Nishimura, Yuki and Koike-Akino, Toshiaki and Wang, Ye},
- title = {Tandem Neural Networks for Electric Machine Inverse Design},
- booktitle = {IEEE International Electric Machines and Drives Conference (IEMDC)},
- year = 2023,
- month = may,
- url = {https://www.merl.com/publications/TR2023-040}
- }
, - "Multi-Objective Motor Design Optimization with Physics-Assisted Neural Network Model", IEEE International Electric Machines and Drives Conference (IEMDC), May 2023.BibTeX TR2023-038 PDF
- @inproceedings{Sakamoto2023may,
- author = {Sakamoto, Yusuke and Xu, Yihao and Wang, Bingnan and Yamamoto, Tatsuya and Nishimura, Yuki},
- title = {Multi-Objective Motor Design Optimization with Physics-Assisted Neural Network Model},
- booktitle = {IEEE International Electric Machines and Drives Conference (IEMDC)},
- year = 2023,
- month = may,
- url = {https://www.merl.com/publications/TR2023-038}
- }
, - "Electric Machine Two-dimensional Flux Map Prediction with Ensemble Learning", International Conference on Electrical Machines and Systems (ICEMS), DOI: 10.1109/ICEMS56177.2022.9982881, December 2022, pp. 1-4.BibTeX TR2022-152 PDF
- @inproceedings{Talukder2022dec,
- author = {Talukder, Khaled and Wang, Bingnan and Sakamoto, Yusuke},
- title = {Electric Machine Two-dimensional Flux Map Prediction with Ensemble Learning},
- booktitle = {International Conference on Electrical Machines and Systems (ICEMS)},
- year = 2022,
- pages = {1--4},
- month = dec,
- doi = {10.1109/ICEMS56177.2022.9982881},
- url = {https://www.merl.com/publications/TR2022-152}
- }
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- "Comparison of Learning-based Surrogate Models for Electric Motors", Conference on the Computation of Electromagnetic Fields (COMPUMAG), May 2023.
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Other Publications
- "Layout optimization of the beam spot locations scanned by electromagnets in particle beam therapy", Mechanical Engineering Journal, Vol. 9, No. 5, pp. 22-00140-22-00140, 2022.BibTeX
- @Article{Sakamoto2022sep,
- author = {SAKAMOTO, Yusuke and NAGASHIMA, Takayuki and SATO, Yuki and IZUI, Kazuhiro and NISHIWAKI, Shinji},
- title = {Layout optimization of the beam spot locations scanned by electromagnets in particle beam therapy},
- journal = {Mechanical Engineering Journal},
- year = 2022,
- volume = 9,
- number = 5,
- pages = {22--00140--22--00140}
- }
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- "Layout optimization of the beam spot locations scanned by electromagnets in particle beam therapy", Mechanical Engineering Journal, Vol. 9, No. 5, pp. 22-00140-22-00140, 2022.