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Denis HAMAD

Professeur, Equipe Imap

Adresse électronique : denis.hamad [at] univ-littoral.fr
Téléphone : +33 (0)3 21 46 56 60
Fax : +33 (0)3 21 46 55 75
Adresse : 50 rue F. Buisson, BP 719, 62228 Calais Cedex

http://www-lisic.univ-littoral.fr/spip.php?article50&membre=25

Denis Hamad is professor at the University of Littoral Côte d’Opale since 2002. He obtained a HDR (Habilitation à Diriger la Recherche) degree in neural networks for unsupervised pattern classification and a Ph.D. degree in detection and validation of measurements in complex systems from the University of Lille 1 Sciences and Technologies-France in 1997 resp. in 1986.
Between 1998 and 2002, he was Professor at University of Picardie Jules Vernes, Amiens-France and Head of the CREA Laboratory. His main research interests are in: Machines learning, unsupervised classification, image and signal segmentation.
Since 1993, he has been involved in many industrial projects related to machine learning systems: Glass bottles inspection, wind turbine supervision, robot control, fault detection and diagnosis systems, transport security and more recently monitoring of marine environment ecosystem.
Actually, his research is in the area of signal processing and machine learning for "environment, coastal environment, and sustainable development”. He is involved in the Interreg 2 Seas DYMAPHY Project “Development of a DYnamic observation system for the assessment of MArine water quality, based on PHYtoplankton analysis”. He managed the PhytoClas project which has been selected as innovative project and supported by the university ULCO. PhytoClas has the objective of characterization and classification of phytoplankton by Cytometry signal analysis and image processing. He managed the CLASPEC project “Spectral Clustering for Color Image Segmentation and Audio Signals”. CLASPEC has been supported by “Graisyhm research federation”. He managing the REPAR project “Représentation Parcimonieuse et Apprentissage Dynamique pour le signal et l'image”. REPAR 2014-2017, is supported by AIRR Regional found.


Publications


2018


Unsupervised Local Binary Pattern Histogram Selection Scores for Color Texture Classification

M. KALAKECH, A. POREBSKI, N. VANDENBROUCKE, D. HAMAD
Journal of Imaging, volume 4, issue 10, 2018.
Télécharger le PDF   Voir le lien   

Top Development Indicators For Middle Eastern Countries

S. Hijazi, R. Fawaz, M. Kalakech, A. Kalakech, D. Hamad
Int. Conf. on Digital Information, Networking, and Wireless Communications (DINWC2018), Lebanese University, Campus of Hadath, Beirut, Lebanon, April 25-27, 2018.
Voir le lien   

Financial Sustainable Development Indicators A Comparative study between Lebanon and Middle East countries: Where Lebanon stands?

S. Al Katat, A. Kalakech, M. Kalakech, D. Hamad
24th Int. Scientific Conference, “Sciences, Social Equity and Sustainable Development”, University of Balamand, Balamand Al Kurah, 25-26 April, 2018.
Voir le lien   

Feature Selection Approach based on Hypothesis-Margin and Pairwise Constraints

S. Hijazi, M. Kalakech, D. Hamad, A. Kalakech
IEEE Middle East & North Africa COMMunications Conference MENACOMM'2018, Holy Spirit University of Kaslik (USEK), Jounieh - Lebanon, April 18-20, 2018.
Voir le lien   

Constrained Weighted Feature Selection

S. Hijazi, M. Kalakech, A. Kalakech, D. Hamad
Numerical Analysis and Scientific Computation with Applications NASCA, Kalamata from July 2nd - 6th 2018.
Voir le lien   

Multi-color space local binary pattern-based feature selection for texture classification

A. POREBSKI, V. TRUONG HOANG, N. VANDENBROUCKE, D. HAMAD
Journal of Electronic Imaging, volume 27, issue 1, 011010, 2018.
Voir le lien   


2017


Apprentissage par graphes et applications

Denis Hamad
23rd International Scientific Conference LAAS: Research and Science in the Service of Humanity. April 06-07, 2017. Lebanese University, Congress Palace - Rafic Hariri Campus – Hadath.

LBP histogram selection based on sparse representation for color texture classification

V. TRUONG HOANG, A. POREBSKI, N. VANDENBROUCKE, D. HAMAD
International Conference on Computer Vision Theory and Applications (VISAPP'17), 27 February - 1 March, 2017, Porto, Portugal


2016


Automatic clustering for of MRI images, application on perfusion MRI of brain.

P. Chuzel, A. Mansour, J. Ognard, J. Gentric, D. Hamad, N. Betrouni, and L. Bressollette
In the 2nd International Conference on Frontiers of Signal Processing (ICFSP 2016), Warsaw, Poland, October 15-17, 2016.

LBP parameter tuning for texture analysis of lace images

V. TRUONG HOANG, A. POREBSKI, N. VANDENBROUCKE, D. HAMAD
Second International Conference on Image Processing and Applications (IEEE-IPAS'16), November 5-7, 2016, Hammamet, Tunisia