PhD Seminar Announcement of Bonaventure Chidube Molokwu:"A Transfer-Learning Approach toward COVID-19 Monitoring and Prediction of PPE Consumption "

Tuesday, July 13, 2021 - 13:00 to 14:00


The School of Computer Science at the University of Windsor is pleased to present … 

PhD. Seminar by: Bonaventure Chidube Molokwu 

Date: Tuesday July 13, 2021 
Time: 1.00pm – 2:00pm 
Passcode: If interested in attending this event, contact the graduate secretary at


Epidemiology has become the center of attention in light of the COVID-19 pandemic. As the world yearns for more effective and efficient mitigation strategies to control as well as prevent the spread of the new SARS-CoV-2. Our work herein presents a unique Transfer Learning framework that simultaneously monitors the effect of SARS-CoV-2 and predicts PPE demand in Community Health Centres within a given populace. On one hand, monitoring the effect of SARS-CoV-2 via studies, analyses, and predictions enable us to understand the nature of SARS-CoV-2 in relation to factors that promote its growth and spread. Hence, these foster widespread awareness; and the populace can become more proactive and cautious in a bid to mitigate the spread of SARS-CoV-2 infections. On the other hand, understanding and forecasting the demand for PPE aids in protecting our healthcare workers whom come in contact with positive COVID-19 and hospitalized cases. The results from our experiments indicate that government actions and human factors are the most significant determinants that influence the spread of SARS-CoV-2. 
Keywords: COVID-19, Personal Protective Equipment, Transfer Learning, Multitask Optimization 

PhD Dissertation Committee:  

Internal Reader: Dr. Saeed Samet 
Internal Reader: Dr. Jianguo Lu 
External Reader: Dr. Dragana Martinovic 
Advisor (s): Dr. Ziad Kobti

PhD Seminar Announcement   Vector Institute in artificial intelligence, artificial intelligence approved topic logo


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