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).
Assistant Professor
Mohammed V University
Since May 2015
- FS-Rabat, Master degree, Machine Learning
- ENSIAS, Master degree, Machine Learning
- FMD-Rabat, Master degree, Python
- ENS-Rabat, Bachelor degree, Java, Databases Modeling
Associate Professor
Institut Supérieur de l'Information et de la communication
January 2017
to January 2018
- 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
Postdoctoral Researcher
ENSM-Rabat
January 2014
to January 2015
- 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)
Postdoctoral Researcher
LIMIARF
January 2013
to January 2014
- 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.
Lecturer of Computer Science
Mohammed V University
January 2010
to January 2015
- 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
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Machine learning
Expert
-
Deep Learning
Expert
-
Reinforcement Learning
Advanced
-
NLP
Advanced
-
Big Data and Cloud
Expert
-
Internet Of Things
Advanced
-
Data Journalism
Expert
-
Python, R, Dart
Expert
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Java, C/C++
Expert
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Image and Signal Processing
Expert
-
Robotics
Expert
Big Data Specialist and Cloud Applications Developer
IBM Skills Academy
November 2016
to January 2017
Big Data Specialist with IBM BigInsights V2.1 and IBM Cloud Applications Developer
Improving Hyper-parameter tuning, Regularization and Optimization in Convolutional Neural Networks and Sequence models.
Machine learning using support vector machines: Application to human brain decoding and weld flaw classification.
Computer Science, Telecommunication and Multimedias
