Kamel Madi, Ph.D Email & Phone Number

I received my PhD in Computer Science, entitled "Inexact graph matching: Application to 2D and 3D Pattern Recognition", in December 2016, at LIRIS laboratory and Claude Bernard Lyon 1 University (France). I received a Master’s degree in Computer Science, specialty: Engineering of Artificial Intelligence at Montpellier 2 University (France). During my PhD, I was a visiting researcher for six-month at Ottawa University and the National Research Council Canada (Ottawa, Canada). From September 2016 to August 2018, I was a Temporary Teacher and Researcher in Computer Science (ATER) at Jean Moulin Lyon 3 University (iaeLyon) and still a member of the team Graphs algOrithms and AppLications (GOAL) in the LIRIS laboratory. My area of expertise is about graph-based approaches combined with machine leaning and deep learning techniques for 2D and 3D Pattern Recognition. My research focuses on : - Graph-based approaches : graph matching, graph edit distance, graph embedding, graph kernel, graph decomposition, graph based modeling, graph theory. - Vision : 2D & 3D Pattern Recognition, 3D deformable object recognition and Pattern Recognition in satellite images. - Machine learning and deep learning : metric learning, Classification, Regression, Clustering, CNN, RNN, ...

Listed skills include Pattern Recognition, Graph Matching, Graph Theory, 3D Object Recognition, and 34 others.