Personal information
Biography
Elbetel Taye is a dedicated researcher and former lecturer who has made significant contributions to the fields of biomedical engineering, medical imaging, and artificial intelligence. With a passion for advancing healthcare technologies and improving medical practices, Elbetel has consistently demonstrated her commitment to innovation and excellence.
Since November 2022, Elbetel has been a valued member of the Computer Vision Division at the Ethiopian Artificial Intelligence Institute in Addis Ababa, Ethiopia. She is working in computer vision to develop cutting-edge solutions for various healthcare applications. Prior to her current role, Elbetel served as a Lecturer at the School of Biomedical Engineering at Jimma University from February 2020 to November 2022. During her time at the university, she not only excelled in teaching a range of courses, including medical physics, signal processing, and advanced radiotherapy but also undertook impactful research in medical imaging. Her master's thesis, titled "Automatic Diagnosis of Breast Cancer from Histopathological Data," showcased her ability to provide innovative solutions in the health sector, highlighting her dedication to improving cancer diagnosis and treatment.
Elbetel's educational background is marked by excellence. She earned a Master of Science in Biomedical Engineering, specializing in Medical Imaging, from Jimma University in 2020. Her thesis work demonstrated her prowess in developing automated diagnostic tools for breast cancer detection. She also holds a Bachelor of Science degree in Biomedical Engineering, awarded in 2017, during which she designed an innovative "De-Malaria" device aimed at malaria prevention and detection.
Recognized for her contributions, Elbetel Taye has received numerous awards and grants, reflecting her dedication to impactful research and innovation. Notably, she was honored with the 20th Tore Godal Award for her exceptional research efforts. Her initiatives, such as the "Automatic Breast and Cervical Cancer Diagnosis System" and the "Child Hand Washing Device" demonstrate her commitment to addressing critical healthcare challenges through technology. Working towards this end, she has also been engaged as a project manager in establishing an incubation center at Jimma University with a grant received from the Research and Innovation System for Africa (RISA fund).
Elbetel's journey has been marked by achievements, contributions, and an unwavering commitment to improving healthcare and technology integration.
Education:
- B.Sc.: (Biomedical Engineering), Jimma University, Ethiopia, 2017
- B.A.: (Business Administration and Management), Jimma University, Ethiopia, 2019
- M.Sc.: (Biomedical Imaging), Jimma University, Ethiopia, 2020
Her Research Interest areas include:
- Medical Image/Signal Processing
- Machine Learning and Computer Vision with Applications in Medical Imaging
- Biomedical Optics
- Low-cost biomedical device design and development