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Abdelhak Mahmoudi

Abdelhak Mahmoudi

Data Scientist

Machine Learning
Deep Learning
Big Data
Cloud Computing
Computer Vision
43 years old
Morocco
Employed Available
Assistant Professor of Computer Science at École Normale Supérieure (ENS) of Mohammed V University (Rabat, Morocco), Researcher in Computer Science at IMIARF Laboratory, Big Data and Cloud Applications Developer from IBM Skills Academy and Deep Learning Specialist from deeplearning.ai. My main research involves Machine Learning applied to Big Data problems. I was involved in the Neuromed project under the 7th Framework at Institut de Neurosciences de la Timone (INT) (Marseille, France) and joined, as a Postdoc Researcher, a Partnerships for Enhanced Engagement in Research (PEER) project administered by the U.S. National Academy of Sciences (NAS).
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  • FS-Rabat, Master degree, Machine Learning
  • ENSIAS, Master degree, Machine Learning
  • FMD-Rabat, Master degree, Python
  • ENS-Rabat, Bachelor degree, Java, Databases Modeling
  • Professor of Data Journalism for Masters students: Master Spécialisé en Production des Contenus Audiovisuels et Numériques (ProCAN)
  • Data Journalism workflow: Search, Clean, Extract, Analyse, Visualize
  • Meeting the educational needs of the deaf.
  • Development of a sign recognition system using Kinect sensor
  • Development of a translation System from sing to Arabic language.
  • PEER Project funded by U.S. National Academy of Sciences (NAS)
  • Machine learning to Decode functional Magnetic Resonance Imaging (fMRI) data for neuroscience applications, classify weld flaws in radiographic images for non destructive testing (NDT) applications and classify mammogram circumscribed masses for medical diagnosis applications.
  • The researches involved different issues mainly high-dimensionality, feature selection, data-set unbalance and generalization performance problems.
  • Worked on projects involving computational neuroscience and robotics with international Labs (INT, INS, LAAS, IBISC).
  • Developed machine learning algorithms mainly supervised learning for Brain Computer Interface (BCI) tasks, Deep Learning for patter recognition tasks and Reinforcement Learning in robotics.
  • Faculty of Sciences of Rabat (FSR): OOP Java, C/C++, Unix Administration
  • Ecole National de l'Industrie Minérale (ENIM): OOP Java, C/C++
  • Institut Nationale des Statistiques et d’Economie Appliquée (INSEA): Computer Science