Ndeye Fatou NGOM

A partir de > 2014- (Ecole Polytechnique de Thies)

• Traitement d’images et vision par ordinateur
• Théorie et traitement du signal
• Apprentissage Automatique (Machine Learning)
• Apprentissage Profond (Deep Learning)
• Analyse et exploration de données
• Modélisation mathématique et numérique
• Introduction aux Systèmes complexes et systèmes intelligents.

2011- 2013

• Géométrie algorithmique, Master2 géométrie différentielle, Université Cheikh Anta Diop de Dakar (UCAD).
• Probabilité et statistique, Master 1 Algebre, Cryptographie, Géométrie and Applications, Département mathématiques et informatiques,  FST, UCAD.
• Traitement d’images :
  • Master 2 Systèmes complexes, Département mathématiques et informatiques, FST, UCAD ;
  • Master 2 Réseaux, Ecole Supérieure Multinationale des Télécommunications de Dakar (ESMT) ;
  • Master 2, Algebre,  Cryptographie, Géométrie and Applications, Département mathématiques et informatiques,  FST, UCAD.
• Théorie et traitement du signal (applications avec Matlab) :
  • Master 1 Réseaux, Ecole Supérieure Multinationale des Télécommunications de Dakar  (ESMT) ;
  • Master 1 transmission de données et sécurité de l’information (TDSI), Département mathématiques et informatiques, FST, UCAD.
  •  

Publications récentes

[1] Shape Descriptor for porous media analysis using computed tomography images, N.F. Ngom,  C.H.T. Ndiaye, O. Niang, ,S. Sidibé, International Journal of Images and Graphics (IJIG),Vol 18, N2 1850011, pp. 1-28, April 2018,DOI: 10.1142/S0219467818500110, ISSN (print): 0219-4678 | ISSN (online): 1793-6756

[2] Neural Networks for biomedical signals classification based on empirical mode decomposition and principal component analysis, A.D. Abdou, N.F. Ngom, S. Sidibé, O. Niang, A. Thioune, C.H.T.C Ndiaye, In: M. F. Kebe C., Gueye A., Ndiaye A. (eds) Innovation and Interdisciplinary Solutions for Underserved Areas. CNRIA 2017, InterSol 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST) volume 204, Eds. Springer Cham International Publishing, 2018, vol. 204, pp. 267–278. Print ISBN 978-3-319-72964-0,

https://link.springer.com/chapter/10.1007/978-3-319-72965-7_25

[3] The 2D Spectral Intrinsic decomposition method applied to image analysis. Sidibe, O. Niang, A. Thioune, A.-D. Abdou, and N. F. Ngom, Journal of electrical and computer engineering, volume 11, pp. 7948571:1-7948571:6, Hindawi, Doi: 10.1155/2017/7948571], ISSN: 2090-0147 (Print), ISSN: 2090-0155

[4] Web based GIS for multicriteria vulnerability classification and prediction in urban area: the case of Yeumbeul (Dakar), H. C. Ndiaye, N. F. Ngom, O. Niang, and A. Fall, In 2018 1st International Conference on Smart Cities and Communities (SCCIC). Ouagadougou, 24-26 July. IEEE Jul. 2018. pp. 1-10, Electronic ISBN: 978-1-5386-6208-3, DOI: 10.1109/SCCIC.2018.8584554, 

https://ieeexplore.ieee.org/document/8584554

[5]Porous media modeling from tubular shapes and computed tomography images, N.F. Ngom, C. H. Ndiaye, O. Niang, and S. Sidibe, In 2017 International Conference on Computing Networking and Informatics (ICCNI), Lagos-Nigeria, 29-31 Octobre 2017. IEEE Oct. 2017. pp. 1–5,  ISBN: 978-1-5090-4643-0, DOI: 10.1109/ICCNI.2017.8123778, 

[6] Analysis of Noise Perturbation on Neural Network Based ECG Classification, A.-D. Abdou, N. F. Ngom, O. Niang, and M. C. O. Guera, In: Misra et al. (eds) Computational Science and its applications- ICCSA 2019. Saint Petersburg. Lecture Notes in Computer Science book series (LNCS, volume 11623) Springer International Publishing Print ISBN 978-3-030-24307-4, http://link.springer.com/10.1007/978-3-030-24308-1_29

[7] Auto-adaptive Signal Segmentation Using Spectral Intrinsic Decomposition. Sidibe, O. Niang, and N. F. Ngom, In: Yang XS, Sheratt S., Dey N., Joshi A. (eds) Third International Congress on Informatic and Communication Technology (London). Advances in Intelligent Systems and Computing book series (AISC-volume 797) .  Springer Singapore, 2019, vol. 797, pp. 553–561.DOI https://doi.org/10.1007/978-981-13-1165-9_51 

[8] Classification and Prediction of Arrhythmias from Electrocardiograms Patterns Based on Empirical Mode Decomposition and Neural Network. A.-D. Abdou, N. F. Ngom, and O. Niang, In Internationale Conference on e-infrastructure an e-services for developing countries (AFRICOMM 2018)- , G. Mendy, S. Ouya, I. Dioum, and O. Thiaré. Lecture Notes of the Institute for computer Sciences, Social Informatics and Telecommunications Engineering book series LNICST-Volume 275 ,Eds.  Springer Switzerland, 2019, vol. 275, pp. 174–184, Print ISBN 978-3-030-16041-8, 

[9] Edge detection using spectral intrinsic decomposition. Sidibe, O. Niang, and N. F. Ngom, In books International conference on Computational Science and Computational Intelligence. CSCI 2017, Las Vegas-NV-USA .IEEE, Dec. 2017, pp.505-509, IEEE ISBN : 978-1-5386-2653-5, DOI: 10.1109/CSCI.2017.85

https://ieeexplore.ieee.org/document/8560842

 [10]Electrocardiograms patterns analysis using Artificial Neural Network and non-linear regression. A.D.Abdou,N.F.Ngom,andO.Niang. In: African Conference on Research in Computer Science and Applied Mathematics, E. Badouel, N. Gmati, and B. Watson,   Oct 2018, Stellenbosch, South Africa. 2018, pp. 25-32., Eds. Stellenbosch, South Africa: Stellenbosch University. 

https://www.cari-info.org/Actes-2018/p25-32.pdf

Co-encadrement de thèses de doctorat

• A
• B
• C

UCAD: Université Cheikh Anta Diop de Dakar

Université de Thies

Encadrement ou co-encadrement de projets de fin d’études

• EPT : Ecole Polytechnique de THIES
• UCAD : Université Cheikh Anta Diop de Dakar
•