Abdessamad Chanaa

Avenue Ibn Sina B.P 765, Agdal-Rabat, Morocco.
abdessamad.chanaa@gmail.com

I'm a Data scientist specialised in recommender systems at Mohammadia school of engineers (EMI) of Mohammed V University (UM5) of Rabat, Morocco. I am also a Computer Science Engineer from the High School of Applied Science of Marrakesh. My interests lie in the fields of Deep Learning, Machine Learning, Natural Language Processing (NLP) and Educational Engineering.

Experiences

Research Engineer

Laboratory of Modeling, Analysis and Intelligent Systems (MASI)

  • Creation of learning objects research engine (Content-based recommender system)
  • Creation of UGPFM recommendation system framwork. It is based on Convolutional Neural Network (CNN) and Factorization Machines (FMs) [link to the project]

September 2018 - Present

Temporary professor

National Institute of Statistics and Applied Economics (INSEA)

  • Linked Open Data (LOD).
  • Semantic Web.

October 2020 - February 2021

Data scientist

AIOX LABS

Sentimental analysis of clients' feedbacks in the banking sector using NLP Darija (Moroccan dialect).

Mars 2020 - April 2020

Temporary professor

Mohammadia School of Engineers (EMI)

  • Initialization to the data analysis in Python.
  • Algorithmic and Programming in C language.
  • Object-oriented programming in Java.
  • Data structures.
  • PL\SQL Programming.

September 2018 - February 2020

Back-end developper Intern

TamTam International

Newsletter management for the Belgian Institute of Accountants and Tax Consultants (IEC) using PHP7 and Symfony

February 2017 - August 2017

Education

Mohammaed V University of Rabat, Mohammadia school of engineers (EMI)

PhD in Data science
Data science - Recommender Systems - Machine learning - Deep Learning - Natural Language Processing (NLP)
January 2018 - October 2021

Cadi Ayyad University of Marrakech, National School of Applied Sciences (ENSA)

Computer science engineer
Python - Java - Web development - Database Management System (DBMS) - Bash - Unified Modeling Language (UML)
September 2012 - August 2017

Skills

Programming Languages & Tools
Expertise
  • Recommender systems expert.
  • Machine learning engineer.
  • Natural Language Processing (NLP) specialist.
  • Back-end Developper.
  • Computer science confirmed Professor.
  • Experienced researcher.
  • Journal reviewer.

Papers

Sentiment Analysis on Massive Open Online Courses (MOOCs): Multi-Factor Analysis, and Machine Learning Approach

Abdessamad Chanaa, Nour-eddine El Faddouli
IJICTE 2022
[Paper]

An Analysis of learners’ affective and cognitive traits in Context-Aware Recommender Systems (CARS) using feature interactions and Factorization Machines (FMs)

Abdessamad Chanaa, Nour-eddine El Faddouli
JKSUCIS 2021
[Paper] [Code & Data]

E-learning Text Sentiment Classification Using Hierarchical Attention Network (HAN)

Abdessamad Chanaa, Nour-eddine El Faddouli
IJET 2021
[Paper]

Latent Graph Predictor Factorization Machine (LGPFM) for modeling feature interactions weight

Abdessamad Chanaa, Nour-eddine El Faddouli
SITA 2020
[Paper]

BERT and Prerequisite Based Ontology for Predicting Learner’s Confusion in MOOCs Discussion Forums

Abdessamad Chanaa, Nour-eddine El Faddouli
AIED 2020
[Paper]

Predicting Learners Need for Recommendation Using Dynamic Graph-Based Knowledge Tracing

Abdessamad Chanaa, Nour-eddine El Faddouli
AIED 2020
[Paper] [Code & Data]

Doc2Vec &Naïve Bayes: Learners’ Cognitive Presence Assessment through Asynchronous Online Discussion TQ Transcripts

Hind Hayati, Abdessamad Chanaa, Mohammed Khalidi Idrissi, Samir Bennani
IJET 2019
[Paper]

Context-aware factorization machine for recommendation in Massive Open Online Courses(MOOCs)

Abdessamad Chanaa, Nour-eddine El Faddouli
WITS 2019
[Paper]

Deep learning for a smart e-Iearning system

Abdessamad Chanaa, Nour-eddine El Faddouli
ICSDE 2018
[Paper]

Certifications

  • Certified Publons Academy Peer Reviewer
  • Certified Elsevier Researcher Academy Peer Reviewer