Mai Elshehaly is a lecturer in computer science at the University of Bradford, UK. She received her MSc and PhD in computer science at Virginia Tech, USA. She spent one year as a postdoctoral research associate at the University of Maryland, Baltimore County, and more recently was a research fellow at the University of Leeds. Elshehaly’s research focuses on how information visualisation contributes to constructing cognitive models that facilitate decision-making. During her postdoctoral years, she worked on medium to large scale visualisation projects funded by the National Science Foundation (NSF) and the National Institute for Health Research (NIHR). In her current research, which is funded jointly by the University of Bradford and the Bradford Institute for Health Research, she is exploring the interplay between machine learning models and interactive visualisation techniques to inform public health decision making in the post-COVID-19 era. Mai has published research in and acts as a reviewer for top tier visualisation journals such as the Computer Graphics Forum and IEEE Transactions on Visualization and Computer Graphics.
Human-Computer Interaction (HCI), Artificial Neural Networks, Scientific Data Visualisation, Parallel and Concurrent Programming.