SLEIGHT's research projects

The Manutech-SLEIGHT Graduate School cultivates a fertile ground for researchers who wish to undertake ambitious, transdisciplinary research projects whose objectives respond to major societal issues of the 21th century.
Each project is selected by the Graduate School trough Calls for projects or thesis certification, and in line with at least one of the 3 scientific axes of Manutech-SLEIGHT.

The funded projects are at the interaction between:

• Physics – Biology
• Optics - Materials
• Biology – Artificial Intelligence
• Surface Engineering - Artificial Intelligence

Axis 1

• DENSIFY

  
  

  Dense structures on the nanoscale

• MORPHOSURF

  
  

  Surface Morphology at the nanometric scale by temporal and polarization control of ultrashort laser pulses.

• SMOB

  
  

  In situ radioscopy of the melt pool morphology for selective beam melting

• FLAME

  
  

  Femto-second Laser irradiation of Metals

• SAFE

  
  

  Study of the biological behaviour of PVD thin film metallic glasses: effect of an ultrashort laser treatment

• HyTex

  
  

  Influence of ultrafast laser texturing on hydogen uptake and diffusion in metallic materials

• QuickSilica

  
  

  Ultrafast electron-molecular dynamics coupling in photoexcited silica glass

• ULTRACHEM

  
  

  Ultrafast laser interaction for chemical and topological functionalization of surfaces

• RENATA

  
  

  Radiation Effects on New Architectures of opTical Amplifiers

• NANOVEC

  
  

  3D nanostructuring of optical materials using automated vector laser beams

• PHOTOM

  
  

  Photonics-guided machine learning

Axis 2

• DIONISOS

  
  

  Diffusion Of Nanoparticles On Surfaces

• QUANTRI

  
  

  Quantitative identification of physical characteristics of solid interfaces correlated with the tribological properties

• DENT'IN

  
  

  Predicting the Reflectance and Transmittance of Translucent Dental Resins

• MALBOT

  
  

  MAchine Learning for high definition BOne digital Twin

• MANOUS

  
  

  Intravascular manometry by vector Doppler ultrasound

• PGML

  
  

  Physics-Guided Machine Learning

• BioSpec

  
  

  Quantitative analysis of biomarkers by spectrometry

• XDeepCell

  
  

  Explainable deep models in cell imaging: application to the analysis of structural changes in human cells for diagnostic purposes

• PIMALEA

  
  

  Physics-Informed MAchine LEArning: From Extraction to Transfer of Knowledge in Surface Engineering

• LUMAUS

  
  

  Light and mixed reality for visual assistance for the elderly

• QUMIN

  
  

  Quantitative in situ imaging and machine learning of cell/matrix mechanical interactions for cell biology

• RMLDM

  
  

  Representation and Machine Learning with Missing Data

Axis 3

• COUPLES

  
  

  Thin passive films characterization by surface plasmon resonance

• EAGLE

  
  

  Eye Anterior segment Laser Engineering

• FAST-MED

  
  

  Additive manufacturing by stereolithography of tough ceramics for medical application

• LASIMP

  
  

  Femtoseconde LASer for dental IMPlants multifonctionnal texturing

• MONBONE

  
  

  SPR-based sensors for monitoring in vitro bone models

• ORNALAS

  
  

  Periodic Van Der Waals Origamis by Ultrafast Laser Nanotexturing

• EMIL

  
  

• MOTOM

  
  

  Magnetic field steering Of the Thermo-chromic behavior Of Micro-structured surfaces

• NANOTRAP

  
  

  TRAPping of extracellular vesicle by femtosecond laser-generated NANOstructures: a new approach to surface biofunctionalization

• MonBone-2

  
  

  SPR-based biosensors for in vitro bone models

• VEZPA

  
  

  VErsatile ZnO-based Plasmonics semiconducting substrates for biomedical Applications

• PreCoPlad

  
  

  Prediction of laser-printed multidimensional colours on plasmonic metamaterials using deep learning and adaptative strategies