Abdulaziz Alhamadani

Abdulaziz Alhamadani was a Ph.D. student in the Department of Computer Science.  His advisor was 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, drug overdose crises, and crisis management in various industries. 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.