CV

Curriculum Vitae

Surname:                                                               El Yacoubi

First name:                                            Mounîm A. (Abdenaim)

Institution             :                                               Institut Polytechnique de Paris / Institut Mines-Telecom / Telecom SudParis

CNRS Lab:                                                              SAMOVAR, UMR 5157

Phone:                                                   (+33) 1 75 31 44 53                                (+33) 6 83 70 12 89

Address:                                         19 place Marguerite Perey                   91120 Palaiseau, France

Emails:                                                   mounim.el_yacoubi@telecom-sudparis.eu                   mounim.elyacoubi@gmail.com

Webpage:                                              http://elyacoubi.wp.mines-telecom.fr/

Scholar Google

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Professional Experience

  1. 2008-Present: Institut Mines-Telecom, France

Affiliation: Telecom SudParis, Institut Mines Telecom and Institut Polytechnique de Paris.

Professor

Teaching: Artificial Intelligence,  Data Science, Machine Learning & Deep Learning

Research: Human Machine Interaction, e-health, Biometrics, Video surveillance, Robotics, Smart Cities, Smart Agriculture, Speech, Handwriting, Gesture and Activity Recognition, etc.

  • 2001-2008: Parascript, LLC        Boulder, Colorado, USA        www.parascript.com

Senior Scientist, R&D Staff

Parascript is a world leader in Automatic Document Processing. I have developed there machine learning software allowing to recognize mail addresses, bank check legal amounts, and forms used in e.g.  hospitals or commercial facilities, for several countries worldwide.

  • 1998-2001: Catholic Pontifical University of Paraná (PUCPR), Curitiba, Brazil           www.pucpr.br

Associate Professor

Visiting Scientist (18 months) at the research center, Centre for Pattern Recognition and Machine Intelligence (CENPARMI), directed by Ching Y. Suen.

  • 1992-1996: Service de Recherche Technique de La Poste (SRTP), Nantes, France

I have been a research engineer at the SRTP, then directed by Michel Gilloux, where I have developed the first handwritten street name recognizer for France and significantly improved the handwritten city name recognizer. Still running in current French mail sorting machines.

Education

2014       HDR : Habilitation à diriger la recherche (Habilitation to direct research).

Title : Machine Learning For Visual Sequence Recognition

1996       PhD thesis, Université de Rennes 1, France.

Speciality : Signal Processing and Telecommunications

Title : Markov modeling of handwriting: Application to postal address recognition

1992       DEA, Université de Rennes 1, France

Speciality : “Signal, Telecommunications, Image, Radar” (STIR)

DEA thesis : Global Recognition of Cursive Postal Codes by Hidden-Sostal Markov Models

1991       Maitrise EEA “Electronique, Electrotechnique, Automatique” Univ. d’Orléans, France

1990       Maitrise Physique, Université Hassan II, Casablanca, Morocco

Speciality: Electronics

Languages

English (fluent), French (fluent), Arabic (fluent), Portuguese (Good level), Spanish (average)

Invited Conferences in International and National Conferences

  • Scientific Day Paris-Saclay, “La santé de demain”, 8 decembre 2017, Systematic Paris Region
    • Mounîm A. El Yacoubi, Telelcom SudParis, « Representation learning for the detection of handwriting disorders on tablets linked to Alzheimer’s disease »
  • Journée « Open Source et sécurité pour l’Internet des Objets », 11/05/2017, organised by Systematic and CNRS
    •  Traitements de données pour l’IoT, Mounîm El Yacoubi, Telecom Sud-Paris
  • 3rd Global Summit and Expo on Multimedia & Artificial Intelligence, Lisbon, Juillet 2017.
  • ICFHR 2008 Panel Discussion, “Handwriting recognition research: Twenty years of achievement… and beyond,” 11th International Conference on Frontiers in Handwriting Recognition (ICFHR’08), Montreal, Canada, August 2008. Panelists—M. El Yacoubi, H. Fujisawa, D. Lopresti, and G. Lorette— spoke about the achievements of more than 20 years of handwriting recognition and its future.
  • Séminaires à l’Instituto Federal do Espírito Santo – IFES, Vitoria, ES, Brésil, 27-28 February, 2013
  • JS/TSAT’2012, Conférence Invitée, M. A. El-Yacoubi: « Modélisation statistique et Classification du mouvement humain à partir des séquences vidéo, » Journée Scientifique sur le Traitement du Signal Appliqué aux Télécommunications, JS/TSAT’2012, INTTIC-LARATIC, Oran, Algérie, Nov. 2012.
  • Journée_SFO_ 2009, M.A. El Yacoubi, « Reconnaissance par la démarche », une journée d’étude sur le theme ‘’Concepts Avances De Reseaux De Cameras Optroniques Pour La Surveillance Automatisee’’, Organisée par Le club commun SFO & SEE, SOOS (Systèmes Optroniques pour l’Observation et la Surveillance SOOS), l’Institut d’Optique, Palaiseau, 15 Oct. 2009.
  • Seminaire “Biometrics and Gait Recognition”, université de Concordia, Montréal, Canada, 22/12/2008
  • BSDIA 1997, Invited Talk, Mounim A. El-Yacoubi, “Objective Evaluation of the Discriminant Power of Features in an HMM-based Word Recognition System,” Nabeel A. Murshed, Flávio Bortolozzi (Eds.): First Brazilian Symposium on Advances in Document Image Analysis,, BSDIA’97, Curitiba, Brazil, November 2-5, 1997, Proceedings. Springer 1997 Lecture Notes in Computer Science ISBN 3-540-63791-5.

Other Research Activities

  • General Chair
    • 16th International Conference on Human System Interaction (HSI), Paris, France, 2024
  • Program Chair
    • International Conference on Pattern Recognition and Artificial Intelligence (ICPRAI, Paris, France, 2022)
    •  IEEE Smart World Congress (SWC, Portsmouth, UK, 2023)
    • International Conference on Cyber-physical Social Intelligence (ICCSI, Xi’an, China, 2023)
  • Associate Editor of Journals
    • IEEE Access
    • International Journal of Network Dynamics and Intelligence (IJNDI).
    • Journal of Cyber-Physical-Social Intelligence.
  • Guest Editor of the upcoming volume entitled “AI & Machine Learning in healthcare” of the World Scientific Book Series: Series on Language Processing, Pattern Recognition, and Intelligent Systems, co-edited by Prof. Ching Y Suen (Concordia University, Canada) and Prof. Lu Qin (Hong Kong Polytechnic University).
  • Reviewer of ANR (agence nationale de la recherche Française)
  • Reviewer of NSERC – Natural Sciences and Engineering Research Council (Canada)
  • Reviewer for several to machine learning and pattern recognition journals, etc.
    • IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Neural Networks, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Multimedia, IEEE Transactions on Information Forensics and Security, IEEE Journal of Selected Topics in Signal Processing, IEEE Transactions on Biometrics, Behavior, and Identity Science, IEEE Transactions on Medical Imaging, IEEE Transactions on Industrial Informatics, IEEE Transactions on Biomedical Engineering, International Journal of Document Analysis and Recognition, Pattern Recognition, Pattern Recognition Letters, Journal on Multimodal User Interfaces, Journal of Ambient Intelligence and Humanized Computing, IET Computer Vision, Expert Systems With Applications, International Journal of Computer Vision, etc.
  • Technical Program Committee,
    • ICDAR, ICPR, ICB, IROS, ISCC, ICFHR, IWFHR, ISCC, etc.

Patents

  • Zephir Arnold, Bachir Danya, Vincent Gauthier, Yacoubi Mounim El, Khodabandelou Ghazaleh. Method of Learning of Estimation Coefficients of the Population and Method of Learning of Estimation of the Population. France, Patent n° : EP3471449. 2020.
  • Zephir Arnold, Bachir Danya, Vincent Gauthier, Yacoubi Mounim El, Khodabandelou Ghazaleh. Procédé d’apprentissage de coefficients d’estimation de la population, et procédé d’estimation de la population. France, Patent n° : FR3072536. 2019.
  • Vincent Gauthier, Fereshteh Asgari, Mounim El Yacoubi, Alexis Sultan. Procédé d’estimation de trajectoires utilisant des données mobiles. France, N° de brevet: FR3046006. 16609. 2017, pp.34.

Publications

Some Publications in Journal Papers in the last 5 years (2018-2023).

  • Li, Y., Liu, L., Deng, S., Qin, H., El-Yacoubi, M. A., & Zhou, G. (2023). Memory-Augmented Autoencoder based Continuous Authentication on Smartphones with Conditional Transformer GANs. IEEE Transactions on Mobile Computing (pp. 1–16).
  • Yantao Li, Song Ruan, Huafeng Qin, Shaojiang Deng, Mounim A. El-Yacoubi: Transformer Based Defense GAN Against Palm-Vein Adversarial Attacks. IEEE Transactions on Information Forensics and Security 18: 1509-1523 (2023)
  • Quang Dao, Mounîm A. El-Yacoubi, Anne-Sophie Rigaud: Detection of Alzheimer Disease on Online Handwriting Using 1D Convolutional Neural Network. IEEE Access 11: 2148-2155 (2023)
  •  Omar El Mellouki, Mohamed Ibn Khedher, Mounim A. El-Yacoubi: Abstract Layer for LeakyReLU for Neural Network Verification Based on Abstract Interpretation. IEEE Access 11: 33401-33413 (2023)
  • Huafeng Qin, Rongshan Hu, Mounim A. El-Yacoubi, Yantao Li, Xinbo Gao: Local Attention Transformer-Based Full-View Finger-Vein Identification. IEEE Transactions on Circuits and Systems for Video Technology 33(6): 2767-2782 (2023)
  • Huafeng Qin, Changqing Gong, Yantao Li, Xinbo Gao, Mounim A. El-Yacoubi: Label Enhancement-Based Multiscale Transformer for Palm-Vein Recognition. IEEE Transactions on Instrumentation and Measurement 72: 1-17 (2023)
  • Serena Zanelli, Mounim A. El-Yacoubi, Magid Hallab, Mehdi Ammi: Type 2 Diabetes Detection With Light CNN From Single Raw PPG Wave. IEEE Access 11: 57652-57665 (2023)
  • Yantao Li, Li Liu, Huafeng Qin, Shaojiang Deng, Mounim A. El-Yacoubi, Gang Zhou: Adaptive Deep Feature Fusion for Continuous Authentication With Data Augmentation. IEEE Transactions on Mobile Computing 22(10): 5690-5705 (2023)
  • Nickson Mwamsojo, Frédéric Lehmann, Mounim A. El-Yacoubi, Kamel Merghem, Yann Frignac, Badr-Eddine Benkelfat, Anne-Sophie Rigaud: Reservoir Computing for Early Stage Alzheimer’s Disease Detection. IEEE Access 10: 59821-59831 (2022)
  • Maxime De Bois, Mounîm A. El-Yacoubi, Mehdi Ammi: GLYFE: review and benchmark of personalized glucose predictive models in type 1 diabetes. Medical & Biological Engineering & Computing 60(1): 1-17 (2022)
  • Serena Zanelli, Mehdi Ammi, Magid Hallab, Mounim A. El-Yacoubi: Diabetes Detection and Management through Photoplethysmographic and Electrocardiographic Signals Analysis: A Systematic Review. Sensors 22(13): 4890 (2022)
  • Maxime De Bois, Mounîm A. El-Yacoubi, Mehdi Ammi: Enhancing the Interpretability of Deep Models in Healthcare Through Attention: Application to Glucose Forecasting for Diabetic People. International Journal of Interactive Multimedia and Artificial Intelligence 35(12): 2160006:1-2160006:25 (2021)
  • Huafeng Qin, Mounim A. El-Yacoubi, Yantao Li, Chong-Wen Liu: Multi-Scale and Multi-Direction GAN for CNN-Based Single Palm-Vein Identification. IEEE Transactions on Information Forensics and Security 16: 2652-2666 (2021)
  • M. De Bois, MA.. El-Yacoubi, M. Ammi, “Integration of clinical criteria into the training of deep models: Application to glucose prediction for diabetic people,” Smart Health, 2021.
  • Maxime De Bois, Mounim. A. El-Yacoubi, Mehdi Ammi, “GLYFE: Review and Benchmark of Personalized Glucose Predictive Models in Type-1 Diabetes”, Medical & Biological Engineering & Computing, 2021.
  • H. Qin, M.A. El-Yacoubi, Y. Li, C. Liu, « Multi-scale and Multi-direction GAN for CNN-based Single Palm-vein Identification, » IEEE Transactions on Information Forensics and Security, 2021.
  • M. De Bois, M.A. El Yacoubi, M Ammi, “Adversarial multi-source transfer learning in healthcare: Application to glucose prediction for diabetic people,” Computer Methods and Programs in Biomedicine, 2021.
  • M. Ibn Khedher, H. Jmila, M.A. El-Yacoubi, “Automatic processing of Historical Arabic Documents: A comprehensive Survey”, Pattern Recognition 100, 107144, 2020.
  • Sanaa Chafik, Mounim A El Yacoubi, Imane Daoudi, Hamid El Ouardi, “Unsupervised deep neuron-per-neuron hashing,” Applied Intelligence, pp. 1-15, 2019.
  • Huafeng Qin, Mounim El Yacoubi, “Finger-vein quality assessment based on deep features from grayscale and binary images,” International Journal of Pattern Recognition and Artificial Intelligence, 2019.
  • Huafeng Qin, Mounim A El Yacoubi, Jihai Lin, Bo Liu, “An iterative deep neural network for hand-vein verification,” IEEE Access, 2019.
  • Danya Bachir, Ghazaleh Khodabandelou, Vincent Gauthier, Mounim El Yacoubi, Jakob Puchinger, “Inferring dynamic origin-destination flows by transport mode using mobile phone data,” Transportation Research Part C: Emerging Technologies, Vol. 101, pp. 254-275, 2019.
  • Mounîm A El-Yacoubi, Sonia Garcia-Salicetti, Christian Kahindo, Anne-Sophie Rigaud, and Victoria Cristancho-Lacroix, “From aging to early-stage Alzheimer’s: Uncovering handwriting multimodal behaviors by semi-supervised learning and sequential representation learning,” Pattern Recognition, Vol. 86, pp. 112-133, 2/2019.
  • Christian Kahindo Senge Muvingi, Mounim El Yacoubi, Sonia Garcia-Salicetti, Victoria Cristancho-Lacroix, Hélčne Kerhervé, Anne-Sophie Rigaud Monnet, “Semi-global parametization of online handwriting features for characterizing early-stage alzheimer and mild cognitive impairment,” IRBM, Vol. 39, No. 6, pp. 421-429, 2018.
  • Saeideh Mirzaei, Mounim El Yacoubi, Sonia Garcia-Salicetti, Jerome Boudy, C Kahindo, V Cristancho-Lacroix, Hélène Kerhervé, A-S Rigaud, “Two-stage feature selection of voice parameters for early Alzheimer’s disease prediction,” IRBM, Vol. 39, No. 6, pp. 430-435, 2018.
  • G Khodabandelou, V Gauthier, M Fiore, MA El Yacoubi, “Estimation of Static and Dynamic Urban Populations with Mobile Network Metadata,” IEEE Transactions on Mobile Computing, 2018.
  • C. Kahindo, M.A. El-Yacoubi, S. Garcia-Salicetti, V. Cristancho-Lacroix, A.S. Rigaud, “Characterizing Early Stage Alzheimer through Spatiotemporal Dynamics of Handwriting,” IEEE Signal Processing Letters, 2018.
  • H. Qin and M. A. El Yacoubi, “Deep Representation for Finger-vein Image Quality Assessment,” IEEE Transactions on Circuits and Systems for Video Technology, TCSVT, 2018.