Kamel Madi, PhD

RESEARCH SCIENTIST, Computer Vision and Machine Learning (kamel.madi@liris.cnrs.fr)
Umanis - R&D
LIRIS lab - GOAL team
English / Français

About me

Kamel Madi received his Ph.D in Computer Science, in December 2016, form University of Claude Bernard Lyon 1 (France) and LIRIS laboratory (France), under the supervision of Prof. Hamamache Kheddouci and Dr. Hamida Seba. He received a Master’s degree in Computer Science, specialty: Engineering of Artificial Intelligence at University of Montpellier II (France). During his PhD, he was a visiting researcher for six-months at University of Ottawa (Canada) and the National Research Council Canada CNRC (Ottawa), hosted by Prof. Dr. Eric Paquet. Currently, since September 2016, Kamel Madi is Temporary Teacher and Researcher in Computer Science at University of Jean Moulin Lyon 3 - iaeLyon (France) and LIRIS laboratory in the research group Graphs, AlgOrithms and AppLications (GOAL). His research interests lie in graph based approaches for 2D and 3D Pattern Recognition. His main research specialty is about 2D and 3D Pattern Recognition, object recognition and deformable object recognition; based on graph techniques: graph matching, graph edit distance, graph decomposition and graph based modeling. He is the author of publications in international journals and conferences. He also developed several tools using different languages (Java, C/C++, Matlab, etc.) ensuring a complete process for 2D and 3D Pattern Recognition (extraction, representation and classification).


Research Interests

Graph based approaches for 2D and 3D Pattern Recognition:
My research interests lie in graph based approaches for 2D and 3D Pattern Recognition. My main research specialty is about 2D and 3D Pattern Recognition, object recognition and deformable object recognition, based on graph techniques: graph matching, graph edit distance, graph decomposition and graph based modeling.
Graph based approaches for 2D Pattern Recognition
Concerning the 2D Pattern Recognition, I worked on the recognition in satellite images using graph approaches. During my Ph.D, Kite (archaeological structures) recognition in satellite images was one of the applications considered.
Graph based approaches for 3D Object Recognition
Concerning the 3D object Recognition, I worked on the recognition of three-dimensional shapes, more precisely on the recognition of 3D non-rigid objects using graph-based approaches.

Highlights
Since September 2016 - Temporary Teacher and Researcher in Computer Science at University of Jean Moulin Lyon 3 - iaeLyon (France) and LIRIS laboratory in the (GOAL) team.
December 13 th, 2016 - PhD from the University of Claude Bernard Lyon 1 (France), under the supervision of Prof. Hamamache Kheddouci and Dr. Hamida Seba. Thesis: Inexact graph matching: Application to 2D and 3D Pattern Recognition.
September 2014- February 2015 (6 months) - visiting researcher for six-months at University of Ottawa (Canada) and the National Research Council Canada CNRC Ottawa.
2011 - 2012 - Master’s in Computer Science, specialty: Engineering of Artificial Intelligence at University of Montpellier II (France).