Main Services

Consulting

Health :

Medical Imaging systems,

Computed Tomography,

Molecular Imaging,

Big Data, IoT, Data IA
Energy :

Artificial Intelligence for Big Data,

Industrial Non Destructive Testing,

Eddy current, Ultrasound, Gamma rays, Electromagnetic Imaging,

Electric network modeling

R & D Project Realization

Big Data:
Analyzing, Processing, Mining, Knowledge extraction, Value adding
Information Technology:
Exploring, Predicting, Quantifying uncertailties, Knowledge and value adding
Signal and Image processing:
Super resolution, Unmixing, RGB Color, Multi and Hyper Spectral Image processing
Medical imaging:
X rays, MRI, PET, SPECT, Echography,
Digital and Electronic Microscopy,
Electromagnetic, Optical diffusion
Industrial Non Destructive Testing:
Eddy currect, Ultrasound, Gamma rays, Electromagnetics
Mass spectrometry:
Molecular imaging
Mineralogy: XRF, SWIR, Raman

Training

Proposed Training Workshops

• Large Scale Machine Learning
  Handling Missing Data
  Large Scale Computed Tomography
  Bayesian methods for Large Scale Inverse Problems
  Inverse problems: from deterministic to probabilistic methods
  Computed Tomography: from Analytical to Algebraic and Probabilistic methods
  Inverse scattering and diffraction imaging
  Non Destructive Testing (NDT) for industrial applications
  PCA, ICA and beyound for Big Data
  Cocktail party and Blind Sources Separation
  Sparsity enforcing methods and applications
  Approximate Bayesian Computation
  Variational Bayesian Approximation methods for inverse problems
  Dynamical systems governing equations discoveries
  Signal processing applications via inverse problems methods
  Medical imaging: from basics to state of art methods
  Biological Data, Signal and Image processing
  Detection of outliers in Large scale data
  Array of sensors and sources localization
  Data fusion: Multiple time series change detection
  Super Resolution
  Periodic components detection and Estimation
  Mixture models for classification

Human Resource

Needing for replacing a R & D manager ?