Dr. Hanreceived her PhD in Applied Mathematics from Purdue University (West Lafayette, USA) in 2018 under the supervision of Prof. Zhilan Feng. She is now an IDRC-sponsored postdoctoral fellow working on COVID-19 transmission modeling in Africa.
Mathematical epidemiology, Dynamical systems
Dr. Zahra Movahedi Nia is a postdoc at York University. Her research interests include data modeling, system identification, data mining, machine learning, and deep learning. She is currently working on modeling and identifying factors of economic damage caused by COVID-19 pandemic using machine learning and data analyzing techniques.
Dr. Xu holds a Ph.D. in Mining Engineering from the University of British Columbia, complemented by a cross-disciplinary background in Machine Learning, Minerals Processing, and Mechanical Engineering. He has seven years of research experience in ore sorting integrated with Machine Learning and Data Analysis.
Artificial Intelligence (AI) in Environmental Applications; Methane Emissions Detection and Quantification
Dr. Ayana is a Biomedical Engineer and lecturer at Jimma University, Institute of Technology, School of Biomedical Engineering, and Ph.D. fellow of the National Institute for International Education Development of the government of South Korea at Kumoh National Institute of Technology. He will be designing and deploying AI methodologies and technologies to mitigate fugitive unburned methane; improved accuracy of detection, quantification, and localization of methane emissions in the oil and gas sector for effective design of mitigation solutions; reduce uncertainties in methane emissions measurement and quantification; improved approaches for timely reporting of emissions data to track the performance of producers’ emission reduction initiatives and provide actionable information to stakeholders.