Basic Information

Email Address

• Email Address

  rouetleduc.bertrand.5skyoto-u.ac.jp

Academic Degree

• 12 Jul. 2013

  master's degree(Sorbonne University)
• 27 Jan. 2018

  Ph.D(University of Cambridge)

Academic Resume (Graduate Schools)

• University of Cambridge (UK), Department of Materials Science, Major in Materials Science, Doctoral program, 修了
• Ecole Normale Superieure (France), Department of Chemistry, Major in Chemistry, ENS diploma (transferred in second year), 修了
• Sorbonne University, Paris VI (France), Department of Physics, Major in Physics, Master's program in Physics, 修了

Academic Resume (Undergraduate School/Majors)

• Paris-Saclay University, Paris XI (France), Faculty of Science, Department of Chemistry, Major in Chemistry, Bachelor's degree in Chemistry and Materials Science (transferred in third year), 卒業
• PSL University, Paris IX (France), Department of Mathematics and Computer Science, Major in Mathematics, Associate's degree in Mathematics and Computer Science, 卒業
• Lycee Jean-Baptise Say, Paris (France), 卒業

ID,URL

• J-Global ID

  202201011486742375

researchmap URL

• https://researchmap.jp/bertrandrl

Research

Research Interests

• Machine learning
• Geophysics
• Remote sensing

Research Areas

• Natural sciences, Solid earth science, Machine learning; Geophysics; Remote sensing

Papers

• A multi-disciplinary view on earthquake science

  Sebastian Mueller; Marie Violay; Annemarie Baltay; Bertrand Rouet-Leduc; David Kammer

  NATURE COMMUNICATIONS, Dec. 2022

  
• Instantaneous tracking of earthquake growth with elastogravity signals

  Andrea Licciardi; Quentin Bletery; Bertrand Rouet-Leduc; Jean-Paul Ampuero; Kevin Juhel

  NATURE, Jun. 2022

  
• Tremor Waveform Extraction and Automatic Location With Neural Network Interpretation

  Claudia Hulbert; Romain Jolivet; Blandine Gardonio; Paul A. Johnson; Christopher X. Ren; Bertrand Rouet-Leduc

  IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022

  
• Autonomous extraction of millimeter-scale deformation in InSAR time series using deep learning

  Bertrand Rouet-Leduc; Romain Jolivet; Manon Dalaison; Paul A. Johnson; Claudia Hulbert

  NATURE COMMUNICATIONS, Nov. 2021

  
• Laboratory earthquake forecasting: A machine learning competition

  Paul A. Johnson; Bertrand Rouet-Leduc; Laura J. Pyrak-Nolte; Gregory C. Beroza; Chris J. Marone; Claudia Hulbert; Addison Howard; Philipp Singer; Dmitry Gordeev; Dimosthenis Karaflos; Corey J. Levinson; Pascal Pfeiffer; Kin Ming Puk; Walter Reade

  PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, Feb. 2021

  
• An exponential build-up in seismic energy suggests a months-long nucleation of slow slip in Cascadia

  Claudia Hulbert; Bertrand Rouet-Leduc; Romain Jolivet; Paul A. Johnson

  NATURE COMMUNICATIONS, Aug. 2020

  
• Probing Slow Earthquakes With Deep Learning

  Bertrand Rouet-Leduc; Claudia Hulbert; Ian M. McBrearty; Paul A. Johnson

  GEOPHYSICAL RESEARCH LETTERS, Feb. 2020

  
• Machine learning and fault rupture: A review

  Christopher X. Ren; Claudia Hulbert; Paul A. Johnson; Bertrand Rouet-Leduc

  MACHINE LEARNING IN GEOSCIENCES, 2020

  
• Characterizing Acoustic Signals and Searching for Precursors during the Laboratory Seismic Cycle Using Unsupervised Machine Learning

  David C. Bolton; Parisa Shokouhi; Bertrand Rouet-Leduc; Claudia Hulbert; Jacques Riviere; Chris Marone; Paul A. Johnson

  SEISMOLOGICAL RESEARCH LETTERS, May 2019

  
• Similarity of fast and slow earthquakes illuminated by machine learning

  Claudia Hulbert; Bertrand Rouet-Leduc; Paul A. Johnson; Christopher X. Ren; Jacques Riviere; David C. Bolton; Chris Marone

  NATURE GEOSCIENCE, Jan. 2019

  
• Continuous chatter of the Cascadia subduction zone revealed by machine learning

  Bertrand Rouet-Leduc; Claudia Hulbert; Paul A. Johnson

  NATURE GEOSCIENCE, Jan. 2019

  
• Estimating Fault Friction From Seismic Signals in the Laboratory

  Bertrand Rouet-Leduc; Claudia Hulbert; David C. Bolton; Christopher X. Ren; Jacques Riviere; Chris Marone; Robert A. Guyer; Paul A. Johnson

  GEOPHYSICAL RESEARCH LETTERS, Feb. 2018

  
• Machine Learning Predicts Laboratory Earthquakes

  Bertrand Rouet-Leduc; Claudia Hulbert; Nicholas Lubbers; Kipton Barros; Colin J. Humphreys; Paul A. Johnson

  GEOPHYSICAL RESEARCH LETTERS, Sep. 2017

  
• Automatized convergence of optoelectronic simulations using active machine learning

  Bertrand Rouet-Leduc; Claudia Hulbert; Kipton Barros; Turab Lookman; Colin J. Humphreys

  APPLIED PHYSICS LETTERS, Jul. 2017

  
• Optimisation of GaN LEDs and the reduction of efficiency droop using active machine learning

  Bertrand Rouet-Leduc; Kipton Barros; Turab Lookman; Colin J. Humphreys

  SCIENTIFIC REPORTS, Apr. 2016

  
• Nanocathodoluminescence Reveals Mitigation of the Stark Shift in InGaN Quantum Wells by Si Doping

  James T. Griffiths; Siyuan Zhang; Bertrand Rouet-Leduc; Wai Yuen Fu; An Bao; Dandan Zhu; David J. Wallis; Ashley Howkins; Ian Boyd; David Stowe; Menno J. Kappers; Colin J. Humphreys; Rachel A. Oliver

  NANO LETTERS, Nov. 2015

  
• Distributed Database Kriging for Adaptive Sampling (D(2)KAS)

  Dominic Roehm; Robert S. Pavel; Kipton Barros; Bertrand Rouet-Leduc; Allen L. McPherson; Timothy C. Germann; Christoph Junghans

  COMPUTER PHYSICS COMMUNICATIONS, Jul. 2015

  
• Spatial adaptive sampling in multiscale simulation

  Bertrand Rouet-Leduc; Kipton Barros; Emmanuel Cieren; Venmugil Elango; Christoph Junghans; Turab Lookman; Jamaludin Mohd-Yusof; Robert S. Pavel; Axel Y. Rivera; Dominic Roehm; Allen L. McPherson; Timothy C. Germann

  COMPUTER PHYSICS COMMUNICATIONS, Jul. 2014

  

Academic, Social Contribution

Academic Contribution

• Editor for Geophysical Journal International

  session chair, etc.

  From Dec. 2021, To Present