Abdulaziz Alhamadani is a Ph.D. student in the Department of Computer Science. His advisor is Chang-Tien Lu.
Alhamadani’s research interests mainly focus on developing efficient and applicable methods of training machine learning models for real-world applications such as pandemic prediction and drug overdose crises. His additional research areas include natural language processing, such as text classification and building large corpora for low-resource languages, machine learning ethics, and event detection.
- Natural Language Processing