Seminars & Events

Tuesday, April 01, 2025, 15:00-16:00
The Health AI and Data Science (HAD) Program presents
Differential Geometry Meets Medicine: Shaping the Future of Computational Healthcare
Speaker: Mohamed Hefny
Dr. Mohamed Hefny is a distinguished computer scientist and engineer with over 25 years of experience in data science and artificial intelligence, spanning both academia and industry. He is passionate about leveraging technology to solve real-world challenges, particularly in healthcare and biomedical research.

Dr. Hefny holds a BSc and MSc in Computer Science, specializing in artificial intelligence, from the American University in Cairo (AUC). He earned his PhD in Computer Science from Queen''s University, where he focused on high-dimensional data science and its applications in medicine. His academic excellence has been recognized through more than 20 prestigious scholarships and fellowships, and he has contributed extensively to the field through peer-reviewed journal articles and conference presentations.

Currently, Dr. Hefny serves as a Senior Clinical Research Associate at the Ottawa Hospital Research Institute, where he applies advanced computational techniques to medical research. He is also a licensed Professional Engineer (P.Eng.) in Ontario, Canada, and a Project Management Professional (PMP) certified by the Project Management Institute (PMI). His expertise in leading innovative research and development projects underscores his commitment to advancing data-driven solutions in healthcare.
Location: Virtual via MS Teams. Meeting ID: 230 269 610 75 | Passcode: nM7fs2au

Please contact Emma Brown at emmabrown1@ohri.ca if you would like the meeting link.

NOTE: If you would like to be added to the HAD - Health AI and Data Science team on MS Teams (including the HAD JC seminar mailing list), please join the team using code: owfh55e. If you are external to TOH/OHRI and would like to be added, please email Emma Brown at emmabrown1@ohri.ca.

Abstract

Differential geometry is a mathematical framework that uses algebra and calculus to study geometric structures. It provided the foundation for Einstein&rsquos general theory of relativity and has since influenced many areas of mathematical physics, from particle theory to cosmology. More recently, differential geometry has gained traction in computer science, particularly in computer graphics and computer vision.

In the past decade, its applications have expanded into computational medicine, where mathematical models help analyze large-scale biomedical data and quantify disease-related anatomical changes. By modeling healthy anatomical structures and measuring deviations from them, differential geometry aids in diagnosis, disease progression analysis, and computer-assisted surgical planning.

This talk will explore the role of differential geometry in computational medicine, highlighting its impact on statistical shape analysis and medical imaging. It will conclude with insights into the future of AI-driven healthcare and its potential to transform diagnostics and treatment planning.

Learning Objectives

By the end of this talk, participants will be able to:

1. Understand how mathematical concepts from differential geometry are used to study shapes and structures in medicine.

2. Recognize the role of computational techniques in analyzing medical images and anatomical changes.

3. Identify real-world applications of differential geometry in diagnosing diseases and planning surgeries.

4. Appreciate how technology and mathematics come together to improve healthcare outcomes.

5. Discuss the future potential of advanced computing and artificial intelligence in medical research and treatment.

Please note that OHRI seminars are open to all members of OHRI and partner institutions. Members of the general public are asked to contact the communications office (jganton@ohri.ca) for more information about the research presented at OHRI seminars.