Rchr
J-GLOBAL ID:201801019332178084
Update date: Feb. 01, 2024 Akifumi Nishida
ニシダ アキフミ | Akifumi Nishida
Affiliation and department: Research field (2):
Biological, health, and medical informatics
, Applied microbiology
Research theme for competitive and other funds (6): - 2023 - 2027 Water quality monitoring of permafrost regions on the Mongolian Plateau and the paleoenvironmental reconstructions using the lacustrine sediment cores
- 2022 - 2025 Microbial genome resource mining of Japanese agricultural soil
- 2021 - 2024 Cell-free protein snthesis system of non-model bacteria developed by transfer learning
- 2018 - 2019 Mathematical modeling of microbiome ecosystems for elucidating environmental issues
- 2017 - 2019 多摩川の微生物生態系モデル構築による下水処理水の影響や季節変動の解析
- 2016 - 2017 Elucidation of microbial interspecies and intraspecific interactions during micobial mat formation
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Papers (8): -
Alexis Gilbert, Mayuko Nakagawa, Koudai Taguchi, Naizhong Zhang, Akifumi Nishida, Naohiro Yoshida. Hydrocarbon Cycling in the Tokamachi Mud Volcano (Japan): Insights from Isotopologue and Metataxonomic Analyses. Microorganisms. 2022. 10. 7. 1417-1417
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Shuuki Takizawa, Akifumi Nishida, Masayuki Yamamura. Alternative state transition control by regulating the spatial arrangement of organisms using a lattice model. Ecosphere. 2022. 13. 3
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Akifumi Nishida, Mayuko Nakagawa, Masayuki Yamamura. Determinism of microbial community assembly by drastic environmental change. PLOS ONE. 2021. 16. 12. e0260591-e0260591
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Satoshi WATANABE, Shoichiro KAMEOKA, Natsuko O. SHINOZAKI, Ryuichi KUBO, Akifumi NISHIDA, Minoru KURIYAMA, Aya K. TAKEDA. A cross-sectional analysis from the Mykinso Cohort Study: establishing reference ranges for Japanese gut microbial indices. Bioscience of Microbiota, Food and Health. 2021. 40. 2. 123-134
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Hirokazu Fukui†, Akifumi Nishida†, Satoshi Matsuda, Fumitaka Kira, Satoshi Watanabe, Minoru Kuriyama, Kazuhiko Kawakami, Yoshiko Aikawa, Noritaka Oda, Kenichiro Arai, et al. Usefulness of Machine Learning-Based Gut Microbiome Analysis for Identifying Patients with Irritable Bowels Syndrome. Journal of Clinical Medicine. 2020. 9(8). 2403
more... Lectures and oral presentations (1): -
DNA を解析して環境中の微生物を調べよう
(CBI2022年大会市民講座「分子ロボットと循環農工業-持続可能な未来を目指して」 2022)
Education (4): - 2013 - 2018 Tokyo Institute of Technology Interdisciplinary Graduate School of Science and Engineering Department of Computational Intelligence and Systems Science
- 2010 - 2012 Tokyo Institute of Technology Interdisciplinary Graduate School of Science and Engineering Department of Computational Intelligence and Systems Science
- 2008 - 2010 Tokyo Institute of Technology School of Engineering Dept. of Control and Systems Engineering
- 2003 - 2008 Kitakyushu National College of Technology Dept. of Control and Information Systems Engineering
Work history (5): - 2022/04 - 現在 東京農業大学 分子微生物学科 助教
- 2019/09 - 2022/03 Waseda University Faculty of Science and Engineering Assistant Professor
- 2019/04 - 2019/08 Waseda University Faculty of Science and Engineering Assistant Professor
- 2018/04 - 2019/03 Tokyo Institute of Technology School of Computing postdoctral researcher
- 2012/04 - 2013/03 Shimadzu Corp. Analytical & Measuring Instruments Division
Awards (3): - 2015/03 - poster award Attenuating high-frequency noise of a two-component system responding to short-pulse input
- 2013/10 - poster award Dynamical control of protein concentration using synthetic two-component system
- 2008/03 - 日本機械学会 畠山賞
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