Boujelb Zaynab is a Moroccan biomedical engineer and researcher specializing in medical imaging, hospital equipment management, and artificial intelligence applications in healthcare. With a strong academic background in biomedical engineering, radiology, physics, and artificial intelligence, she has developed expertise in medical instrumentation, radioprotection, and healthcare technology management. She is actively involved in teaching, research, and professional engagements in both public and private institutions. Her work spans hospital infrastructure, quality control, and advanced imaging techniques. She has contributed to various academic projects, including the development of AI-based detection systems and healthcare management applications. Fluent in Arabic, French, and English, she collaborates on research and academic initiatives, making significant contributions to the biomedical field.
Professional Profile
Education
Boujelb Zaynab is currently pursuing a Ph.D. in Biomedical Engineering, Physics, and Artificial Intelligence at Ibn Tofail University, Kenitra (2021-2025). She holds an Engineering degree in Biomedical Engineering with a specialization in Hospital Instrumentation from ENSAM, Rabat (2017-2020). She also earned a Bachelor’s degree in Radiology from the Higher Institute of Nursing and Health Techniques, Rabat (2014-2017), and another Bachelor’s degree in Physics and Computer Science from the Faculty of Sciences, Rabat (2010-2014). Her multidisciplinary educational background has enabled her to develop a deep understanding of biomedical sciences, imaging techniques, and healthcare technology, equipping her with the skills necessary for academic research and professional practice.
Professional Experience
Boujelb Zaynab has extensive professional experience in academia, research, and biomedical engineering. She is currently a faculty member at the Higher Institute of Nursing and Health Techniques in Rabat, responsible for diploma equivalence evaluations, international cooperation, and teaching courses in quality management and medical maintenance. She also serves as a biomedical engineer at the Directorate of Equipment and Maintenance, where she is involved in hospital equipment acquisition, project management, and quality control. Additionally, she has worked at Mohammed VI University of Health Sciences as a lecturer in advanced medical imaging techniques. Her experience includes supervising student research projects, overseeing hospital equipment installations, and participating in public health initiatives. She has also contributed to healthcare policy discussions and procurement processes, enhancing hospital infrastructure.
Research Interests
Boujelb Zaynab’s research interests lie at the intersection of biomedical engineering, artificial intelligence, and medical imaging. She focuses on developing AI-based detection systems for radiology and imaging applications, enhancing hospital equipment management through automation, and improving radioprotection techniques. Her academic projects have included real-time motion detection in radiology, AI-assisted tumor measurement, fall detection systems for elderly care, and healthcare management applications. She is particularly interested in the integration of machine learning with imaging modalities such as MRI and CT scans to improve diagnostic accuracy and patient safety. Additionally, she explores quality control measures in healthcare infrastructure and the optimization of biomedical equipment to enhance hospital efficiency.
Research Skills
Boujelb Zaynab possesses strong technical and analytical skills in biomedical engineering and healthcare technology. She is proficient in medical imaging techniques, radioprotection, signal processing, and automated biomedical systems. Her expertise includes electronic circuit design, machine learning for medical diagnostics, and computerized maintenance management systems (CMMS). She is skilled in programming languages such as MATLAB, LabVIEW, and Java, which she applies in medical data analysis and AI-based healthcare solutions. Additionally, she has experience in project management, feasibility studies, and quality control of hospital equipment. Her ability to integrate theoretical knowledge with practical applications allows her to conduct impactful research and implement innovative healthcare solutions.
Awards and Honors
Although specific awards and honors are not mentioned in her profile, Boujelb Zaynab has demonstrated academic excellence through her contributions to biomedical research and engineering. She has actively participated in national conferences and collaborated on innovative healthcare projects. Her role in supervising student research and developing hospital equipment management solutions highlights her contributions to the field. She has also played a key role in institutional and governmental healthcare initiatives, which reflect her expertise and commitment to advancing biomedical science and technology. Recognition in academic circles and her involvement in significant projects suggest that she has the potential to achieve further accolades in the future.
Conclusion
Boujelb Zaynab is a dedicated biomedical engineer and researcher with expertise in medical imaging, hospital equipment management, and artificial intelligence applications in healthcare. Her multidisciplinary background, research contributions, and teaching experience make her a valuable asset to the field. While she has demonstrated significant professional and academic achievements, further publications in high-impact journals, international collaborations, and research funding would strengthen her profile. Her strong technical skills, research acumen, and commitment to innovation position her as a promising researcher in biomedical engineering. With continued advancements in her research and increased recognition through publications and patents, she has the potential to make lasting contributions to the field of healthcare technology.
Publication Top Notes
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“Motion Detection for Patient Safety in CT Scanner”
- Authors: Zaynab Boujelb, Ahmed Idrissi, Achraf Benba, El Mahjoub Chakir
- Year: 2025
- Source: Results in Engineering
- DOI: 10.1016/j.rineng.2025.103938
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“Detecting Hemorrhagic Stroke from Computed Tomographic Scans Using Machine Learning Models Comparison”
- Authors: Zaynab Boujelb, Ahmed Idrissi, Achraf Benba, El Mahjoub Chakir
- Year: 2024
- Source: Data and Metadata
- DOI: 10.56294/dm2024.548