Mohamed (Moe) Elgendi is an Assistant Professor at Khalifa University with extensive experience in Biomedical Engineering, focusing on AI-driven innovations for health. His expertise spans wearable technologies, contact and non-contact biomedical sensing, textiles, machine learning, algorithm development, data analysis, health data visualization, and knowledge translation. He has also received specialized training in data analytics from MIT.
Previously, Dr. Elgendi served as the Deputy Director of the Biomedical and Mobile Health Technology Lab at ETH Zurich, where he played a key role in establishing the lab, mentoring students, and developing course materials. He has also held positions at Nanyang Technological University, the University of Alberta, and the University of British Columbia.
Dr. Elgendi was ranked among the top 2% of scientists worldwide by Stanford University in 2021, 2022, and 2023. He serves on the editorial boards of several journals and has published over 170 scientific works. He has secured numerous competitive grants and contributed to global health initiatives. In addition to his research, Dr. Elgendi has supervised over 40 MSc and BSc thesis students, many of whom have gone on to secure PhD scholarships at prestigious institutions such as MIT and Harvard.
I am currently seeking motivated and passionate PhD students and Master's thesis students to join my research team. Our work focuses on cutting-edge developments in AI-driven health innovations, wearable technology, biomedical sensing, and health data analytics. This is an excellent opportunity for students interested in advancing their knowledge and contributing to impactful research in the fields of health monitoring, machine learning, and smart textiles.
If you are interested in pursuing a PhD or Master's thesis under my supervision, please feel free to reach out with your CV and a brief statement of your research interests, here is my email: mohamed.elgendi@ku.ac.ae
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