Rabih Assaf is an assistant professor of Applied Mathematics in the Department of Mathematics at the Faculty of Arts and Sciences (FAS). Having joined USEK in 2018 as a part-time instructor, he transitioned to an assistant professor in 2022. Prior to his current role, he served as a lecturer at various Lebanese and French universities from 2016 to 2022.

His research primarily revolves around topological data analysis, with a focus on its application in processing biomedical images for anomaly detection. Recently, he has been integrating topological data analysis with machine learning methods to classify biomedical images. Additionally, he contributes to social behavior studies through statistical analysis at the FAS’s Center of Statistics.

Rabih is the author of "Machine Learning Techniques on Homological Persistence Features for Prostate Cancer Diagnosis" (BMC Bioinformatics, Springer Nature 2022) and three other papers in Q1 or Q2 journals. Between 2021 and 2023, he actively participated as an advisor and reviewer for numerous master theses at USEK. He is a member of the Applied Algebraic Topology Research Network and collaborates in research with scholars from Lebanese, French, Singaporean and Turkish universities.

EDUCATION

• PhD in Applied Mathematics, University of Reims Champagne-Ardenne – France
• MA/MS in Mathematics, Holy Spirit University of Kaslik (USEK) – Lebanon
• BA/BS in Mathematics, Lebanese University – Lebanon