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Ervin Sejdić

PhD


Description

From his earliest research, he has been eager to contribute to the advancement of scientific knowledge through carefully executed experiments and ground-breaking published work. For his strong contributions, Sejdić was named the editor-in-chief of Biomedical Engineering Online; an area editor of the IEEE Signal Processing Magazine, the highest rated journal in the field of signal processing; and an associate editor of Digital Signal Processing and IEEE Transactions on Biomedical Engineering. Sejdić’s research interests include biomedical signal processing, gait analysis, swallowing difficulties, advanced information systems in medicine, rehabilitation engineering, assistive technologies and anticipatory medical devices. Sejdić is committed to excellence in education and strives to guide and motivate students to fully understand the fundamental principles of applied sciences and pays considerable attention to providing students with a learning environment that stimulates collaborative discussions. From his earliest research, he has been eager to contribute to the advancement of scientific knowledge through carefully executed experiments and ground-breaking published work. For his strong contributions, Sejdić was named the editor-in-chief of Biomedical Engineering Online; an area editor of the IEEE Signal Processing Magazine, the highest rated journal in the field of signal processing; and an associate editor of Digital Signal Processing and IEEE Transactions on Biomedical Engineering. Sejdić’s research interests include biomedical signal processing, gait analysis, swallowing difficulties, advanced information systems in medicine, rehabilitation engineering, assistive technologies and anticipatory medical devices. Sejdić is committed to excellence in education and strives to guide and motivate students to fully understand the fundamental principles of applied sciences, and pays considerable attention to providing students with a learning environment that stimulates collaborative discussions.

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Associated Programs

Digital Health

Using health data to better understand those living with diabetes and transform diabetes self-management.