Dr. Mohamed S. Hefny is an interdisciplinary
scientist, engineer, and academic. He received a Doctor of Philosophy degree from Queen's
University in 2014. His research spans the spectrum from mathematical
theories, through computer technologies, to clinical applications.
Dr. Hefny is interested in using data science and knowledge
engineering to better understand disease occurrence and progression for
prevention, early diagnosis, and effective treatment. He is currently
focused on using differential-geometry and statistical-analysis to study
biomedical data. He developed a novel topological data analysis
framework for analyzing anatomical structures with immediate
knowledge-to-action clinical applications.
Dr. Hefny has a
successful publication record in top-tier peer-reviewed journals and
conferences. He earned several prestigious, international and national,
awards and scholarships. He also has 10 years of industrial experience
including hands-on development and management. In addition, he is a
community volunteer and active reviewer.