Personal information

Ethiopia

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

Activities

Employment (2)

Ethiopian Artificial Intelligence Institute: Addis Ababa, Addis Ababa, ET

2022-11-29 to present | Researcher (Computer vision)
Employment
Source: Self-asserted source
Elbetel Taye Zewde

Jimma University Institute of Technology: Jimma, Oromia, ET

2017-08-10 to 2022-12-01 | Lecturer (Biomedical Engineering )
Employment
Source: Self-asserted source
Elbetel Taye Zewde

Education and qualifications (1)

Jimma University Institute of Technology: Jimma, Oromia, ET

2017-10-01 to 2020-02-20 | Masters (Biomedical Engineering )
Education
Source: Self-asserted source
Elbetel Taye Zewde

Professional activities (2)

Ethiopian biomedical engineers and technologists socity: Addis Ababa , ET

2017-01-01 to present
Membership
Source: Self-asserted source
Elbetel Taye Zewde

Ahri: Addis Ababa, Addis Ababa, ET

2022-06-09 | 20th Tore Godal award
Distinction
Source: Self-asserted source
Elbetel Taye Zewde

Works (7)

Deep Learning for Improved Community-based Acute Flaccid Paralysis Surveillance in Ethiopia

SSRN Electronic Journal
2024 | Journal article
Part of ISSN: 1556-5068
Contributors: Gelan Ayana; Kokeb Dese; Hundessa Daba; Efrem Wakjira; Gashaw Demlew; Dessalew Yohannes; Ketema Lemma; Hamdia Murad; Elbetel Taye Zewde; Bontu Habtamu et al.
Source: Self-asserted source
Elbetel Taye Zewde

Machine Learning Based Stroke Segmentation and Classification from CT-Scan: A Survey

Pan-African Conference on Artificial Intelligence
2024 | Book chapter | Author
Part of ISBN: 9783031576232
Part of ISBN: 9783031576249
Part of ISSN: 1865-0929
Part of ISSN: 1865-0937
Contributors: Elbetel Taye Zewde; Mersibon Melese; Yehualashet Megersa Ayano; Taye Girma Debelee; Degaga Wolde
Source: Self-asserted source
Elbetel Taye Zewde

Artificial Intelligence-Based Breast and Cervical Cancer Diagnosis and Management System

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
2023 | Book chapter | Author
Part of ISBN: 9783031287244
Part of ISBN: 9783031287251
Part of ISSN: 1867-8211
Part of ISSN: 1867-822X
Contributors: Elbetel Taye Zewde; Mizanu Zelalem Degu; Gizeaddis Simegn
Source: Self-asserted source
Elbetel Taye Zewde

A novel wearable device for automated real-time detection of epileptic seizures

BMC Biomedical Engineering
2023-07-17 | Journal article
Part of ISSN: 2524-4426
Contributors: Mikael Habtamu; Keneni Tolosa; Kidus Abera; Lamesgin Demissie; Samrawit Samuel; Yeabsera Temesgen; Elbetel Taye Zewde; Ahmed Ali Dawud
Source: Self-asserted source
Elbetel Taye Zewde

Cervix Type and Cervical Cancer Classification System Using Deep Learning Techniques

Medical Devices: Evidence and Research
2022-06-16 | Journal article
Part of ISSN: 1179-1470
Source: Self-asserted source
Elbetel Taye Zewde

Automatic Diagnosis of Breast Cancer from Histopathological Images Using Deep Learning Technique

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
2022-01-01 | Book chapter
Part of ISBN: 9783030937089
Part of ISBN: 9783030937096
Part of ISSN: 1867-8211
Part of ISSN: 1867-822X
Source: Self-asserted source
Elbetel Taye Zewde

Classification of breast cancer types, sub-types and grade from histopathological images using deep learning technique

Health and Technology
2021-11 | Journal article
Part of ISSN: 2190-7188
Part of ISSN: 2190-7196
Source: Self-asserted source
Elbetel Taye Zewde