About Mohamed Abdelwaheb Bahloul Mohamed Abdelwaheb Bahloul Ph.D., Electrical and Computer Engineering Signal processing Estimation fractional-order derivative biomedical applications cardiovascular My name is Mohamed Abdelwaheb Bahloul, native from Sfax, Tunisia. I am a Ph.D. candidate in the Computer, Electrical, and Mathematical Sciences and Engineering Division at King Abdullah University of Science and Technology (KAUST). I first came to KAUST, in 2015, as an intern within the Visiting Student Research Program. Impressed with the University, its facilities, and the KAUST lifestyle, I then applied to KAUST as a master's degree student and was accepted to the electrical engineering program, electro-physics track. After graduating with my M.S. in 2017, I began my Ph.D. studies at KAUST Events Presented Events Apr 24 - Apr 30, 2022 Contributions to Data-driven and Fractional-order Model-based Approaches for Arterial Haemodynamics Characterization and Aortic Stiffness Estimation Mohamed Abdelwaheb Bahloul, Ph.D., Electrical and Computer Engineering Apr 26, 14:00 - 16:00 B1 L4 R4318 Arterial Haemodynamics Characterization Aortic Stiffness Estimation Cardiovascular diseases (CVDs) remain the leading cause of death worldwide. Patients at risk of evolving CVDs are assessed by evaluating a risk factor-based score that incorporates different bio-markers ranging from age and sex to arterial stiffness (AS).
Contributions to Data-driven and Fractional-order Model-based Approaches for Arterial Haemodynamics Characterization and Aortic Stiffness Estimation Mohamed Abdelwaheb Bahloul, Ph.D., Electrical and Computer Engineering Apr 26, 14:00 - 16:00 B1 L4 R4318 Arterial Haemodynamics Characterization Aortic Stiffness Estimation Cardiovascular diseases (CVDs) remain the leading cause of death worldwide. Patients at risk of evolving CVDs are assessed by evaluating a risk factor-based score that incorporates different bio-markers ranging from age and sex to arterial stiffness (AS).
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