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J-GLOBAL ID：202001021213471817   Update date: Feb. 15, 2024

Kusumoto Toshiyuki

クスモト トシユキ | Kusumoto Toshiyuki
Affiliation and department：
Graduate School for the Creation of New Photonics Industries

About Graduate School for the Creation of New Photonics Industries


Other affiliations (1)：
Research field  (4)： Manufacturing and production engineering ,  Semiconductors, optical and atomic physics ,  Mathematical informatics ,  Statistical science
Research keywords  (4)： Laser processing ,  Spectroscopy ,  Artificial intelligence ,  Machine learning
Research theme for competitive and other funds  (1)：
  • 2019 - 2022 Study about the fabrication method dependences to the tool lifetimes of a Polycrystalline diamond (PCD) tool
Papers (19)：
  • Toshiyuki KUSUMOTO, Koichi SARUTA, Takashi NAOE, Makoto TESHIGAWARA, Masatoshi FUTAKAWA, Kazuo HASEGAWA, Akihiko TSUBOI. Application of Machine Learning to Spattering Phenomena in Laser Cutting. 2023. 23. 4. 310-315
  • D. Kosumi, T. Kusumoto, H. Hashimoto. Unique ultrafast excited states dynamics of artificial short-polyene carotenoid analog 2-(all-trans-β-ionylideneetinylidene)-indan-1,3-dione. Journal of Photochemistry and Photobiology A: Chemistry. 2021. 418
  • Toshiyuki Kusumoto, Kiyokazu Mori. Prediction of ultrashort pulse laser ablation processing using machine learning. Laser Applications in Microelectronic and Optoelectronic Manufacturing (LAMOM) XXVI. 2021
  • 安田忠史, 安田忠史, 安田忠史, 北川義大, 道家照幸, 楠本利行, 沖原伸一朗, 長谷川和男, 坪井昭彦. Laser Cladding Method by High Power Blue Laser Irradiation to Cemented Carbide-Base Material. レーザ加工学会誌. 2021. 28. 3
  • Shintaro Yagi, Nobuyuki Katayama, Hiroaki Hasegawa, Hiroshi Matsushita, Shin Ichiro Okihara, Toshiyuki Kusumoto, Akihiko Tsuboi. Effects of microscale texture on the tribological behavior of paper-based friction materials for a wet clutch. Tribology Online. 2015. 10. 5. 390-396
ｍore...
MISC (22)：
  • 内山稜太, 内山稜太, 内山文宏, 長谷川和男, 楠本利行. Tool Forming and Applications Using Ultrashort Pulsed Laser Microprocessing. 電気学会研究会資料(Web). 2023. 2023. 7-13. 5-8
  • 楠本利行. Advancement of Femtosecond Laser Processing by Applying Machine Learning Techniques. レーザー研究. 2022. 50. 3. 142-148
  • 楠本利行. レーザー加工における最先端技術動向 1)機械学習を応用したフェムト秒レーザーアブレーション加工量の予測. 光アライアンス. 2021. 32. 3
  • 楠本利行, 森清和. Prediction of Femtosecond Pulse Laser Ablation Processing with Machine Learning. レーザ加工学会講演論文集(Web). 2019. 92nd
  • Acknowledgement of Laser Industry Award 2018 : The Implementation of Laser Processing Course for Industrial Companies. 2018. 46. 7. 395-397
ｍore...
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