Abdulaziz Alhamadani
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.

Publications
Jianfeng He, Syuan-Ying Wu, Abdulaziz Alhamadani, Chih-Fang Chen
In Proceedings of the ACM SIGIR conference on Research and Development in Information Retrieval, (pp 3130-3134), 07/2023
Citatations: BibTeX
Jianfeng He, Xuchao Zhang, Shuo Lei, Abdulaziz Alhamadani, Fanglan Chen
In Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, (pp 698-710), 08/2023
Citatations: BibTeX
Abdulaziz Alhamadani, Xuchao Zhang, Jianfeng He
In Cornell University, : , 10/2022
Citatations: BibTeX