研究者
J-GLOBAL ID:201901000617994556   更新日: 2023年12月12日

チツベロ ミカイル

チツベロ ミカイル | Tsitsvero Mikhail
所属機関・部署:
研究分野 (5件): 応用数学、統計数学 ,  数学基礎 ,  数理情報学 ,  数理物理、物性基礎 ,  生物物理、化学物理、ソフトマターの物理
研究キーワード (9件): machine learning for chemical physics ,  machine learning ,  harmonic analysis ,  spectral theory of simplicial complexes ,  graph signal processing ,  mathematical signal processing ,  physics of chemical reactions ,  spectral graph theory ,  graph theory
競争的資金等の研究課題 (1件):
  • 2017 - 2019 MiLyon/LabEx Postdoctoral Fellowship
論文 (10件):
  • Mingoo Jin, Ryunosuke Kitsu, Natsumi Hammyo, Ayana Sato-Tomita, Motohiro Mizuno, Alexander S. Mikherdov, Mikhail Tsitsvero, Andrey Lyalin, Tetsuya Taketsugu, Hajime Ito. A Steric-Repulsion-Driven Clutch Stack of Triaryltriazines: Correlated Molecular Rotations and a Thermoresponsive Gearshift in the Crystalline Solid. Journal of the American Chemical Society. 2023
  • Mikhail Tsitsvero, Jenny Pirillo, Yuh Hijikata, Tamiki Komatsuzaki. NMR spectrum prediction for dynamic molecules by machine learning: A case study of trefoil knot molecule. The Journal of Chemical Physics. 2023. 158. 19
  • チツベロ ミカイル. Learning inducing points and uncertainty on molecular data. 2022
  • チツベロ ミカイル. Multidimensional analytic signal with application on graphs. 2018 IEEE Statistical Signal Processing Workshop (SSP). 2018. 493-497
  • チツベロ ミカイル. Analytic signal in many dimensions. arXiv. 2018
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書籍 (1件):
  • Eigenfunctions of underspread linear communication systems
    Elsevier 2015
講演・口頭発表等 (9件):
  • Thermodynamics of molecular gears in solid state by machine learning
    (The 6th ICReDD International Symposium 2023)
  • Prediction of NMR spectrum for dynamic molecules by machine learning: a case study of trefoil knot molecule
    (5th conference of Theory and Applications of Computational Chemistry (TACC) 2023)
  • Laplacian operators over simplicial complexes and localization properties of their spectra
    (ÉNS de Lyon, CRAL 2019)
  • Analytic signal and filtering in several dimensions (with potential applications to study the CMB data on a sphere)
    (ÉNS de Lyon, CRAL 2019)
  • Analytic signal in many dimensions
    (Université de Grenoble Alpes, GIPSA-Lab 2018)
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学歴 (2件):
  • 2013 - 2016 Sapienza University of Rome DIET PhD
  • 2005 - 2011 Omsk State University Physics Dept. MSc
学位 (1件):
  • Doctorate (Sapienza University of Rome, Italy)
経歴 (2件):
  • 2017/05 - 2019/07 École Normale Supérieure de Lyon LIP, LabEx Postdoctoral fellow
  • 2013/01 - 2016/12 Sapienza University of Rome DIET Doctorate candidate, Research assistant
委員歴 (2件):
  • 2018 - 現在 AMS Reviewer for AMS
  • 2015/01 - 現在 IEEE Reviewer for IEEE
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