Image Processing, Computer Vision, Pattern Recognition, Data Visualization, Machine Learning & Deep learning
Institut für Pervasive Computing,
Johannes Kepler Universität
Linz, Austria.
CCG - Centro de Computação Gráfica,
Guimares, Portugal.
Telecom ParisTech,
Paris, France.
LIED,Université Paris Diderot,
Paris, France.
University Paris-Est Créteil (UPEC)
Creteil, France.
University of Sussex,
Brighton, United Kingdom.
Annamalai University,
Chidambaram, India.
Computer vision tasks include methods for acquiring, processing, analyzing and understanding digital images, and extraction of high-dimensional data from the real world in order to produce numerical or symbolic information.
Machine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed.
Process of evaluating data using analytical and logical reasoning to decrypt the hidden patterns and for finding the right features to feed in a prediction or classification model.
Deep learning is a class of methods and techniques that employ artificial neural networks with multiple layers of increasingly richer functionality.
I enjoy programming. I transitioned from embedded systems to signal processing, machine learning field from my second master degree. From then, I have been learning to be better at few of these languages by work experience and using the online courses from CourseEra, Udemy and Udacity
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