Lahcen Moumoun

Pr. Lahcen MOUMOUN

Professor in the Computer Science Department

National School of Applied Sciences – Berrechid

University Hassan First – Settat, Morocco

Short biography

Moumoun Lahcen is a professor at Hassan 1st University in Settat (Morocco). He holds a degree from the “École Normale Supérieure d'Enseignement Technique in Mohammedia” (Morocco), a Diploma of Advanced Studies from the “École Nationale Supérieure d'Électricité et de Mécanique” in Casablanca (Morocco), a PhD in computer science, and a Habilitation to Supervise Research (HDR) from Hassan 1st University in Settat (Morocco). His research within the 'Mathematics, Computer Science, and Engineering Sciences (MISI)' laboratory at the Faculty of Sciences and Techniques in Settat focuses on 3D data analysis, visual semantics, and artificial intelligence, particularly in machine learning, self-supervised learning, and federated learning.

Education
  • HDR in Soft Computing, 2018.

    FST-Settat, UH1

  • PhD in Computer Science, 2012

    FST-Settat, UH1

  • Diploma of Advanced higher Studies, 2001.

    ENSAM-Casablanca, UH2

  • Higher Normal School Diploma, 1995.

    ENSET-Mohammédia, UH2

  • BAC Technical Bac. 1991.

    Mohammed VI High school-Marrakech.

Experience
  • Professor

    ENSA – Berrechid, UH1-Settat. Since 2014

  • Professor CRMEF

    Settat. 1997-2014

  • Professor ENSET

    Mohammed. 1995-1997

Profile in indexing databases

ORCID - Google Scholar - Scopus


Scientific responsibilities

Search structure
  • Responsible of the research team

    « Imagerie et Modélisation 3D » du laboratoire « Informatique, Imagerie et Modélisation des Systèmes complexes », FST, Université Hassan 1ier – Settat. 2014–2019

  • Member of the research team

    « Informatique, Imagerie et Modélisation des Systèmes complexes » du Laboratoire « Mathématiques, Informatique et Sciences de l'Ingénieur(MISI) » , FST, Université Hassan 1ier – Settat. 2019–2024

Scientific committee
  • Publicity Chair at I2ST 2023

  • Special Session Chair and Track Chairs at I3SC’23

  • Technical Program Chair at IFC 2022

  • Organizing Committee Membre : ICI2C’21, COSAI’21, IFC 2022, I2ST 2023

  • Scientific committee member : AI2SD'2020, 5th IEEE CIST , 6th IEEE CIST, AI2SD'2022, ICCWCS 2022, I2ST 2023

Teaching

Research Interests

• Signal, Image and Video Processing

• 3D Computer Graphics

• 3D Image Processing

• Pattern Recognition

• Machine Learning, Deep Learning and self-supervised learning

• Artificial Intelligence in FinTech

• Multimedia data analysis

• IoT and Human activity recognition

Publications - Articles de journal

F. Oubelkas, A. Jamali, and L. Moumoun. An Efficient Approach Based on Attention ConvMixer Model for Lung Segmentation. SN computer science (Spring Nature, Indexes Scopus, DBLP Computer Science Bibliography, ACM Digital Library. ISSN: 2662-995X, SJR:0.72, IF: 4.34), Vol. 5, Iss. 5, 2024. DOI: 10.1007/s42979-024-02995-y

H. Alla, L. Moumoun and Y. Balouki. Towards Flight Delays Reduction: The Effect of Aircraft Type and Part of Day on Arrival Delays Prediction. Journal of Advances in Information Technology (Indexed Scopus, ISSN: 1798-2340, SJR:0.32), Vol. 14, No. 5, 2023. DOI: 10.12720/jait.14.5.980-990

A. Oualid, A. Hansali and L. Moumoun. Credit Risk Management: A Comparative Study of ML Techniques Applied to Credit Scoring. International Journal of Management Practice (Indexed Scopus, ISSN: 1741-8143, SJR:0.22), Vol. 17, Iss: 5, 2024. DOI : 10.1504/IJMP.2024.140863

I. Bouzgarne, M. Youssfi, O. Bouattane, L. El Madani, A. Oualid and L. Moumoun. Hybrid Machine Learning for Stock Price Prediction in the Moroccan Banking Sector. International Journal of Electrical & Computer Engineering (Indexed Scopus, ISSN: 1936-1009, SJR:0.2), Vol. 14, No. 3, 2024. DOI : 10.11591/ijece.v14i3.pp3197-3207

A. Oualid, Y. Maleh and L. Moumoun. Federated Learning Techniques Applied to Credit Risk Management: A Systematic Literature Review. EDPACS (Indexed Scopus, ISSN: 1936-1009, SJR:0.2), Vol. 68, Iss. 1, 2023. DOI: 10.1080/07366981.2023.2241647

Z. Benhaili, Y. Abouqora, Y. Balouki and L. Moumoun. Basic Activity Recognition from Wearable Sensors Using a Lightweight Deep Neural Network. Journal of ICT Standardization( Indexed Scopus, DBLP, ISSN: 2246-0853, SJR:0.37), Vol. 10, Iss. 2, 2022. DOI: 10.13052/jicts2245-800X.1028

Z. Benhaili, Y. Balouki and L. Moumoun. A Hybrid Deep Neural Network for Human Activity Recognition based on IoT Sensors. International Journal of Advanced Computer Science and Applications (Indexed Scopus, DBLP ; ISSN: 2156-5570, SJR: 0.28). Vol. 12, Iss. 11, 2021. DOI: 10.14569/IJACSA.2021.0121129

H. Alla, L. Moumoun and Y. Balouki. A Multilayer Perceptron Neural Network with Selective-Data Training for Flight Arrival Delay Prediction. Scientific Programming(Indexed Scopus, DBLP ; ISSN: 1058-9244, SJR: 0.27), Vol. 2021. DOI: 10.1155/2021/5558918

Y. Abouqora, O. Herouane, L. Moumoun and T. Gadi. New Interest Points Detector for 3D Objects Recognition. International Journal of Intelligent Engineering and Systems (Indexed Scopus ; ISSN: 2185-3118, SJR: 0.31), Vol. 12, Iss. 4, 2019. DOI: 10.22266/ijies2019.0831.16

O. Herouane, M. Chahhou, L. Moumoun and T. Gadi. A Hybrid Boosted-SVM Classifier for Recognizing Parts of 3D Objects. International Journal of Intelligent Engineering and Systems (Indexed Scopus ; ISSN: 2185-3118, SJR: 0.31) , Vol. 11, Iss. 2, 2018. DOI: 10.22266/ijies2018.0430.12

O. Herouane, M. Chahhou, L. Moumoun and T. Gadi. Labeling and evaluation of 3D objects segmentation using multiclass boosting algorithm. International Journal of Computational Vision and Robotics (Indexed Scopus et DBLP Computer Science Bibliography, ACM Digital Library; ISSN: 1752-914X , SJR: 0.21), Vol. 8, No. 5, 2018. DOI: 10.1504/IJCVR.2018.095003

E. Rajaallah, O. Herouane, L. Moumoun and T. Gadi. 3D Segmentation by Spectral Clustering Using Shape Index. Journal of Computer Science and Information Technology, Vol. 2, No. 3 & 4, 2014. DOI: 10.15640/jcsit.v2n3-4a2

E. Rajaallah, M. Chahhou, L. Moumoun and T. Gadi. 3D Normalization Based on the Barycentric Coordinates, JOURNAL OF EMERGING TECHNOLOGIES IN WEB INTELLIGENCE, VOL. 6, 2014. DOI: 10.4304/jetwi.6.1.75-79

M. Chahhou , L. Moumoun, M. El far and T. Gadi. Segmentation of regular meshes using optimal Normalized Cheeger Cuts. IEEE Transactions on Pattern Analysis and Machine Intelligence(Indexed Scopus). Vol. 36, No. 8, 2018. DOI: 10.1109/TPAMI.2013.2297314

L. Moumoun, M. Chahhou, M. El Far, T. Gadi et R. Benslimane. Extraction des objets 3D basée sur une analogie partielle des segments. Dans la Revue Méditerranéenne des Télécommunications (RMT), vol. 2, pp. 93-98, Juillet 2011

L. Moumoun, M. El Far, T. Gadi et R. Benslimane. Segmentation des objets 3D par ligne de partage des eaux sans biais. Dans la Revue Méditerranéenne des Télécommunications (RMT), vol. 1, pp. 36-41, Janvier 2011

M. El far, L. Moumoun, T. Gadi, R. Benslimane. The efficiency of algorithms Data Mining "Close + and Extraction of association rules" for indexation 2D/3D and Selection of characteristic views. In International Journal on Computer Science and Engineering (IJCSE), vol. 2(4), pp. 1327-1331, July 2010

M. El far, L. Moumoun, T. Gadi, R. Benslimane. A New technique for the extraction of characteristic views for 2D/3D indexation. In International Journal of Engineering Science and Technology(IJEST), vol. 2(7), pp. 3144-3150, July 2010

L. Moumoun, M. Chahhou, T. Gadi and R. Benslimane. 3D Hierarchical segmentation using the markers for the whatershed transformation. In International Journal of Engineering Science and Technology (IJEST), vol. 2(7), pp. 3165-3171, July 2010

Publications - Chapitres de livre et articles de conférences internationales

F. Oubelkas, A. Jamali, and L. Moumoun. An Efficient Approach Based on Attention ConvMixer Model for Lung Segmentation. SN computer science (Spring Nature, Indexes Scopus, DBLP Computer Science Bibliography, ACM Digital Library. ISSN: 2662-995X, SJR:0.72, IF: 4.34), Vol. 5, Iss. 5, 2024. DOI: 10.1007/s42979-024-02995-y

H. Alla, L. Moumoun and Y. Balouki. Towards Flight Delays Reduction: The Effect of Aircraft Type and Part of Day on Arrival Delays Prediction. Journal of Advances in Information Technology (Indexed Scopus, ISSN: 1798-2340, SJR:0.32), Vol. 14, No. 5, 2023. DOI: 10.12720/jait.14.5.980-990

A. Oualid, A. Hansali and L. Moumoun. Credit Risk Management: A Comparative Study of ML Techniques Applied to Credit Scoring. International Journal of Management Practice (Indexed Scopus, ISSN: 1741-8143, SJR:0.22), Vol. 17, Iss: 5, 2024. DOI : 10.1504/IJMP.2024.140863

I. Bouzgarne, M. Youssfi, O. Bouattane, L. El Madani, A. Oualid and L. Moumoun. Hybrid Machine Learning for Stock Price Prediction in the Moroccan Banking Sector. International Journal of Electrical & Computer Engineering (Indexed Scopus, ISSN: 1936-1009, SJR:0.2), Vol. 14, No. 3, 2024. DOI : 10.11591/ijece.v14i3.pp3197-3207

A. Oualid, Y. Maleh and L. Moumoun. Federated Learning Techniques Applied to Credit Risk Management: A Systematic Literature Review. EDPACS (Indexed Scopus, ISSN: 1936-1009, SJR:0.2), Vol. 68, Iss. 1, 2023. DOI: 10.1080/07366981.2023.2241647

Z. Benhaili, Y. Abouqora, Y. Balouki and L. Moumoun. Basic Activity Recognition from Wearable Sensors Using a Lightweight Deep Neural Network. Journal of ICT Standardization( Indexed Scopus, DBLP, ISSN: 2246-0853, SJR:0.37), Vol. 10, Iss. 2, 2022. DOI: 10.13052/jicts2245-800X.1028

Z. Benhaili, Y. Balouki and L. Moumoun. A Hybrid Deep Neural Network for Human Activity Recognition based on IoT Sensors. International Journal of Advanced Computer Science and Applications (Indexed Scopus, DBLP ; ISSN: 2156-5570, SJR: 0.28). Vol. 12, Iss. 11, 2021. DOI: 10.14569/IJACSA.2021.0121129

H. Alla, L. Moumoun and Y. Balouki. A Multilayer Perceptron Neural Network with Selective-Data Training for Flight Arrival Delay Prediction. Scientific Programming(Indexed Scopus, DBLP ; ISSN: 1058-9244, SJR: 0.27), Vol. 2021. DOI: 10.1155/2021/5558918

Y. Abouqora, O. Herouane, L. Moumoun and T. Gadi. New Interest Points Detector for 3D Objects Recognition. International Journal of Intelligent Engineering and Systems (Indexed Scopus ; ISSN: 2185-3118, SJR: 0.31), Vol. 12, Iss. 4, 2019. DOI: 10.22266/ijies2019.0831.16

O. Herouane, M. Chahhou, L. Moumoun and T. Gadi. A Hybrid Boosted-SVM Classifier for Recognizing Parts of 3D Objects. International Journal of Intelligent Engineering and Systems (Indexed Scopus ; ISSN: 2185-3118, SJR: 0.31) , Vol. 11, Iss. 2, 2018. DOI: 10.22266/ijies2018.0430.12

O. Herouane, M. Chahhou, L. Moumoun and T. Gadi. Labeling and evaluation of 3D objects segmentation using multiclass boosting algorithm. International Journal of Computational Vision and Robotics (Indexed Scopus et DBLP Computer Science Bibliography, ACM Digital Library; ISSN: 1752-914X , SJR: 0.21), Vol. 8, No. 5, 2018. DOI: 10.1504/IJCVR.2018.095003

E. Rajaallah, O. Herouane, L. Moumoun and T. Gadi. 3D Segmentation by Spectral Clustering Using Shape Index. Journal of Computer Science and Information Technology, Vol. 2, No. 3 & 4, 2014. DOI: 10.15640/jcsit.v2n3-4a2

E. Rajaallah, M. Chahhou, L. Moumoun and T. Gadi. 3D Normalization Based on the Barycentric Coordinates, JOURNAL OF EMERGING TECHNOLOGIES IN WEB INTELLIGENCE, VOL. 6, 2014. DOI: 10.4304/jetwi.6.1.75-79

M. Chahhou , L. Moumoun, M. El far and T. Gadi. Segmentation of regular meshes using optimal Normalized Cheeger Cuts. IEEE Transactions on Pattern Analysis and Machine Intelligence(Indexed Scopus). Vol. 36, No. 8, 2018. DOI: 10.1109/TPAMI.2013.2297314

L. Moumoun, M. Chahhou, M. El Far, T. Gadi et R. Benslimane. Extraction des objets 3D basée sur une analogie partielle des segments. Dans la Revue Méditerranéenne des Télécommunications (RMT), vol. 2, pp. 93-98, Juillet 2011

L. Moumoun, M. El Far, T. Gadi et R. Benslimane. Segmentation des objets 3D par ligne de partage des eaux sans biais. Dans la Revue Méditerranéenne des Télécommunications (RMT), vol. 1, pp. 36-41, Janvier 2011

M. El far, L. Moumoun, T. Gadi, R. Benslimane. The efficiency of algorithms Data Mining "Close + and Extraction of association rules" for indexation 2D/3D and Selection of characteristic views. In International Journal on Computer Science and Engineering (IJCSE), vol. 2(4), pp. 1327-1331, July 2010

M. El far, L. Moumoun, T. Gadi, R. Benslimane. A New technique for the extraction of characteristic views for 2D/3D indexation. In International Journal of Engineering Science and Technology(IJEST), vol. 2(7), pp. 3144-3150, July 2010

L. Moumoun, M. Chahhou, T. Gadi and R. Benslimane. 3D Hierarchical segmentation using the markers for the whatershed transformation. In International Journal of Engineering Science and Technology (IJEST), vol. 2(7), pp. 3165-3171, July 2010

Contact

He can be contacted at email: [email protected]