t_mdakak

دكتور.
مصطفى دقاق
t_mdakak@svuonline.org

المؤهلات العلمية: 

PhD in Computer Science – Specialty: Geographical Information System – Université Paris-Est Créteil (UPEC), Paris – France. Ecole doctorale: mathématiques et STIC (MSTIC). Subject: static and dynamic location of mobile terminals in indoor environments.
Master in Computer Science – Specialty: Imagerie, Vision, et Robotique (IVR) – ENSIMAG – École Nationale Supérieure d'Informatique et de Mathématiques Appliquées – INPG: Institut National Polytechnique de Grenoble, France. Master project: simulation distribuée des scènes interactives
diploma in higher studies in Computer Science – HIAST (Higher Institute of Applied Sciences and Technology) – Damascus – Syria. Diploma project: three dimensional scenes, animation and treatment.
engineering diploma in Computer Science – Specialty: graphical simulation and modeling – major of promotion – HIAST – Damascus – Syria. Graduation project: image processing, parallelism of skeleton extraction algorithm.

البرامج الأكاديمية: 

MWT
ITE
ISE
MWS

المقررات العلمية: 

MWT.WIM - تعدد الوسائط والانترنت
ITE.BDA501 - بنى المعطيات والخوارزميات (1)
ISE.CG - البيانيات
ISE.PPR - المعالجة التفرعية
ISE.IMP - معالجة صورة
MWS.ATH - الرسالة

الخبرات الأكاديمية: 

Time Series and Forecasting: courses and seminars (master/HIAST) (5 semesters).
Big Data Visualization: courses and seminars (master/HIAST) (4 semesters)
Human Computer Interaction courses and seminars (master/DU) (4 semesters)
Computer Graphics: SVU, courses (4th year) (3 semesters)
Web Applications Development Basics: courses and exercises (4th year) (4 semesters).
Programming Languages: courses and exercises (5th year/HIAST) (6 semesters).
Modeling Methodology and Tools: courses and exercises. (4th year Mecatronics/HIAST).
Image Processing: SVU, (7 semesters).
Parallel Programming: SVU, (3 semesters).
Mathematics: exercises (1st year/HIAST) (6 semesters).
Database (1) Database (2)

المنشورات العلمية: 

Mustapha Dakkak, “Static and dynamic location of mobile terminals in indoor environments,” PhD thesis, UPEC university, Paris, France, 2012.
Mustapha Dakkak, “Simulation distribuée de scènes interactives,” Master thesis, ENSIMAG: École Nationale Supérieure d'Informatique et de Mathématiques Appliquées – INPG: Institut National Polytechnique de Grenoble, France, 2001.
Mustapha Dakkak, Boubaker Daachi, Amir Nakib, Patrick Siarry: Multi-Layer Perceptron Neural Network and nearest neighbor approaches for indoor localization. SMC 2014: 1366-1373
Amir Nakib, Boubaker Daachi, Mustapha Dakkak, Patrick Siarry: Mobile Tracking Based on Fractional Integration. IEEE Trans. Mob. Comput. 13(10): 2306-2319 (2014).
Mustapha Dakkak, Amir Nakib, Boubaker Daachi, Patrick Siarry, Jacques Lemoine: Indoor localization method based on RTT and AOA using coordinates clustering. Computer Networks 55(8): 1794-1803 (2011)
M. Dakkak, A. Nakib, B. Daachi & P. Siarry, “Classification optimale pour la localisation en environnement fermé:techniques des réseaux de neurones et des plus proches voisins,” Congrès de la Société Française de Recherche Opérationnelle et d’Aide à la Décision (ROADEF 2013), Troyes, France, 2013, accepted.
M. Dakkak, A. Nakib, B. Daachi, P. Siarry & J. Lemoine, “Mobile indoor location based on fractional differentiation,” in Proc. Wireless Communications and Networking Conference (WCNC), 2012 IEEE, Paris, France, 2012, pp. 2003–2008.
M. Dakkak, A. Nakib, B. Daachi & P. Siarry, “ Localisation de capteurs sans fil. Parallélisation sur GPGPU,” Congrès de la Société Française de Recherche Opérationnelle et d’Aide à la Décision (ROADEF 2012), Angers, France, 2012, pp. 160-161.
M. Dakkak, A. Nakib, B. Daachi, P. Siarry & J. Lemoine, “ Méthode hybride de localisation à l'Intérieur d'un bâtiment via la classification de coordonnées,” Congrès de la Société Française de Recherche Opérationnelle et d’Aide à la Décision (ROADEF 2011), Saint-Etienne, France, 2011, pp. I-411.