Damien Querlioz
Scholar

Damien Querlioz

Google Scholar ID: 2-EKdW4AAAAJ
Research Scientist, CNRS, Université Paris-Saclay
Bioinspired Nanoelectronics
Citations & Impact
All-time
Citations
10,409
 
H-index
47
 
i10-index
106
 
Publications
20
 
Co-authors
190
list available
Resume (English only)
Academic Achievements
  • Published key works in Nature Communications, Nature Electronics, and Nature Reviews Physics, including self-powered memristor neural networks, Bayesian arrhythmia detection, Neural ODE modeling of spintronics, and brain-inspired solutions to catastrophic forgetting.
  • Collaborated with Julie Grollier and Yoshua Bengio on Scaling Equilibrium Propagation to deep networks.
  • Demonstrated MCMC-based learning on a 16,384-memristor array with LETI, leveraging device variability.
  • Co-authored the book 'The Wigner Monte-Carlo Method for Nanoelectronic Devices' (2010, ISTE/Wiley).
  • Authored over 150 journal/conference papers, 9 book chapters, and delivered 100+ invited talks.
  • Awarded the CNRS Bronze Medal in 2017.
  • Co-recipient of the 2017 IEEE Guillemin-Cauer Best Paper Award.
  • Co-recipient of the 2018 IEEE Biomedical Circuits and Systems Best Paper Award.