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
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)