Mohamed Hamza Ibrahim

About

Dr. Mohamed Hamza Ibrahim is an Adjunct Professor at Université du Québec en Outaouais, Canada. His research areas encompass concept mining, deep learning applications in health informatics, and network analysis, as demonstrated in recent articles such as "Interesting Concept Mining With Concept Lattice Convolutional Networks" and "Identifying Potential Lyme Disease Cases Using Self-Reported Worldwide Tweets." He also focuses on statistical relational models and clustering techniques, contributing to advancements in formal concept analysis and actionable data mining.