Improving humanitarian needs assessments through natural language processing. - Tino Kreutzer; Patrick Vinck; Phuong N. Pham; Aijun An; Lora Appel; Eric DeLuca; Grace Tang; Muath Alzghool; Kusum Hachhethu; Bobi Morris; Sandie L. Walton-Ellery; John Crowley; et al. (IBM J. Res. Dev., 2020)

Can Post-vaccination Sentiment Affect the Acceptance of Booster Jab? - Blessing Ogbuokiri; Ali Ahmadi; Bruce Mellado; Jianhong Wu; James Orbinski; Ali Asgary; Jude Dzevela Kong (ISDA (3), 2022)

Twitter-Based Gender Recognition Using Transformers. - Zahra Movahedi Nia; Ali Ahmadi; Bruce Mellado; Jianhong Wu; James Orbinski; Ali Asgary; Jude Dzevela Kong (CoRR, 2022)

Big data- and artificial intelligence-based hot-spot analysis of COVID-19: Gauteng, South Africa, as a case study. - Benjamin Lieberman; Jude Dzevela Kong; Roy Gusinow; Ali Asgary; Nicola Luigi Bragazzi; Joshua Choma; Salah-Eddine Dahbi; Kentaro Hayashi; Deepak Kar; Mary Kawonga; Mduduzi Mbada; Kgomotso Monnakgotla; et al. (BMC Medical Informatics Decis. Mak., 2023)

Vaccine Hesitancy Hotspots in Africa: An Insight From Geotagged Twitter Posts. - Blessing Ogbuokiri; Ali Ahmadi; Zahra Movahedi Nia; Bruce Mellado; Jiahong Wu; James Orbinski; Ali Asgary; Jude Dzevela Kong (IEEE Trans. Comput. Soc. Syst., 2024)

Leveraging deep-learning and unconventional data for real-time surveillance, forecasting, and early warning of respiratory pathogens outbreak. - Zahra Movahedi Nia; Laleh Seyyed-Kalantari; M. Goitom; Bruce Mellado; Ali Ahmadi; Ali Asgary; James Orbinski; Jianhong Wu; Jude Dzevela Kong (Artif. Intell. Medicine, 2025)