AlexandreAlahi

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Research fields

Computer Vision
Signal Processing
Machine learning
Robotics
Computational Neuroscience


Research Interests

Sparse approximation
Compressed-sensing
Inverse problems
Real-time vision
Bio-inspired vision
Large-scale vision
Big Visual data

 

Courses Taught

I taught half of the course "Multidimensional Signal Processing" (master-level) and fully the Ph-D level course titled "Advanced Digital Image Processing and Analysis"

The content was:

  • Representation of M-D Signals and Systems
  • Sampling
  • Quantization
  • M-D Fourier Transform
  • Design of FIR Filters
  • Design of IIR Filters
  • Human Visual System
  • Color Vision
  • Contrast Sensitivity
  • Filter Banks (taught by Prof. Pierre Vandergheynst )
  • Scale Space Theory (taught by Prof. Pierre Vandergheynst )
  • Partial Differential Equations in Image Processing (taught by Prof. Pierre Vandergheynst )

Courses TAed

I also was the teacher assistant for the following courses:

Students Supervised

Master Thesis:

  • Raphael Ortiz
  • Michael Bolay
  • Damien Matti
  • Daniel Domingues
  • Romain Jandard

Master Project:

  • Hadrien Mottaz
  • William Guicquero
  • Parmeet Bhatia
  • Onur Gultekin
  • Hind Hannouch
  • Hamed Izadi

Bachelor Project:

  • Johan Paratte
  • Thomas Frendo
  • Samuel Zare
  • Mohamad Hammoud
  • Karim Mardambey
  • Samuel Egli

 

 

 
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© alahi {at} stanford.edu
updated: January 2015

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Schools Studied


Stanford


Ecole Polytechnique Fédérale de Lausanne


Labs Worked

Vision lab at Stanford

LTS2

Transpor


Companies Worked

VisioSafe