Waleed Jmoona


Waleed Jmoona is a Machine Learning Engineer Intern at the Product Realisation Division. He obtained his PhD in Computer Science from Universiti Teknologi Malaysia (UTM) in June 2017. He received a certificate of excellence (Grade A) for his PhD thesis titled "Enhancing Recommender Systems Based on Probabilistic Matrix Factorization through Mining of Social Networks".

Waleed’s research focuses on:

  • Artificial Intelligence (AI)
  • Recommender Systems
  • Natural Language Processing (NLP)
  • Social Network Analysis 
  • Machine Learning

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Latest publications:

Two-sided regularization model based on probabilistic matrix factorization and quantum similarity for recommender systems (Jun 2020)
Waleed Jmoona, Marwa Alhazmi , Naomie Salim
International Journal of Modeling, Simulation, and Scientific Computing (ijmssc)