Masood
Razan Masood has been a researcher in the Information Engineering department at the University of Duisburg-Essen since 2018. She holds a Master's degree in Computer Engineering from the University of Duisburg-Essen and a Bachelor's degree in Informatics Engineering from Tishreen University. Her research focuses on classifying social media users through multiple machine-learning techniques that integrate textual content, behavioral patterns, and network connections while incorporating temporal modeling.
Short CV
Razan Masood has been a researcher in the Information Engineering department at the University of Duisburg-Essen since 2018. She holds a Master's degree in Computer Engineering from the University of Duisburg-Essen and a Bachelor's degree in Informatics Engineering from Tishreen University. Her research focuses on classifying social media users through multiple machine-learning techniques that integrate textual content, behavioral patterns, and network connections while incorporating temporal modeling.
Research Interests
- Machine Learning for Social Media Analysis
- Natural Language Processing
- Information Retrieval
- Data Mining
- AI-driven Risk Prediction
Courses Assisted
- Databases
- Information Retrieval
- Data Mining
- Internet Search Engines
- Information Engineering
- Basics of AI
Master’s Theses Supervision
- Anorexia Risk Detection on the Internet
- Risk Prediction of Mental Health for Social Media Network Users Using Large Language Models
Publications
- Masood, R. "Adapting models for the case of early risk prediction on the internet." Advances in Information Retrieval, ECIR 2019.
- Masood, R., et al. "Anorexia Topical Trends in Self-declared Reddit Users." CIRCLE 2020.
- Masood, R., Ramiandrisoa, F., & Aker, A. "UDE at Erisk 2019: Early Risk Prediction on the Internet." CLEF 2019.
- Masood, R. "The Fake News Challenge: Stance Detection using Traditional Machine Learning Approaches." In Proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering, and Knowledge Management.