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I recently completed my Master of Science in the School of Computing at Queen’s University, Canada, with a perfect GPA of 4.3/4.3. My main focus areas include Biomedical Signal Processing, Artificial Intelligence, Statistical and Data Analysis. I have a strong academic background with a bachelor's degree in Biomedical Engineering, where I graduated top of my class and specialized in areas like Bioinformatics, Biosensors, and Medical Imaging. Alongside my studies, I have hands-on experience working as a Teaching Assistant and also undertook an internship at Siemens Healthineers focusing on diagnostic imaging and lab systems. I have led and contributed to several technical projects such as computer vision-based safety helmet detection, combinatorial optimization for vehicular networks, and development of a Parkinson’s vibration monitoring glove. I have good command of multiple programming languages and technical skills spanning machine learning, deep learning, AI explainability, and biomedical applications. I also actively contribute to the community via volunteering and have earned recognition in competitive settings including IEEE and ACPC contests.…I recently completed my Master of Science in the School of Computing at Queen’s University, Canada, with a perfect GPA of 4.3/4.3. My main focus areas include Biomedical Signal Processing, Artificial Intelligence, Statistical and Data Analysis. I have a strong academic background with a bachelor's degree in Biomedical Engineering, where I graduated top of my class and specialized in areas like Bioinformatics, Biosensors, and Medical Imaging. Alongside my studies, I have hands-on experience working as a Teaching Assistant and also undertook an internship at Siemens Healthineers focusing on diagnostic imaging and lab systems. I have led and contributed to several technical projects such as computer vision-based safety helmet detection, combinatorial optimization for vehicular networks, and development of a Parkinson’s vibration monitoring glove. I have good command of multiple programming languages and technical skills spanning machine learning, deep learning, AI explainability, and biomedical applications. I also actively contribute to the community via volunteering and have earned recognition in competitive settings including IEEE and ACPC contests.

Israa Moustafa

AI Engineer, Data Scientist, Developer, +2

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I recently completed my Master of Science in the School of Computing at Queen’s University, Canada, with a perfect GPA of 4.3/4.3. My main focus areas include Biomedical Signal Processing, Artificial Intelligence, Statistical and Data Analysis. I have a strong academic background with a bachelor's degree in Biomedical Engineering, where I graduated top of my class and specialized in areas like Bioinformatics, Biosensors, and Medical Imaging. Alongside my studies, I have hands-on experience working as a Teaching Assistant and also undertook an internship at Siemens Healthineers focusing on diagnostic imaging and lab systems. I have led and contributed to several technical projects such as computer vision-based safety helmet detection, combinatorial optimization for vehicular networks, and development of a Parkinson’s vibration monitoring glove. I have good command of multiple programming languages and technical skills spanning machine learning, deep learning, AI explainability, and biomedical applications. I also actively contribute to the community via volunteering and have earned recognition in competitive settings including IEEE and ACPC contests.…I recently completed my Master of Science in the School of Computing at Queen’s University, Canada, with a perfect GPA of 4.3/4.3. My main focus areas include Biomedical Signal Processing, Artificial Intelligence, Statistical and Data Analysis. I have a strong academic background with a bachelor's degree in Biomedical Engineering, where I graduated top of my class and specialized in areas like Bioinformatics, Biosensors, and Medical Imaging. Alongside my studies, I have hands-on experience working as a Teaching Assistant and also undertook an internship at Siemens Healthineers focusing on diagnostic imaging and lab systems. I have led and contributed to several technical projects such as computer vision-based safety helmet detection, combinatorial optimization for vehicular networks, and development of a Parkinson’s vibration monitoring glove. I have good command of multiple programming languages and technical skills spanning machine learning, deep learning, AI explainability, and biomedical applications. I also actively contribute to the community via volunteering and have earned recognition in competitive settings including IEEE and ACPC contests.

Available to hire

I recently completed my Master of Science in the School of Computing at Queen’s University, Canada, with a perfect GPA of 4.3/4.3. My main focus areas include Biomedical Signal Processing, Artificial Intelligence, Statistical and Data Analysis. I have a strong academic background with a bachelor’s degree in Biomedical Engineering, where I graduated top of my class and specialized in areas like Bioinformatics, Biosensors, and Medical Imaging. Alongside my studies, I have hands-on experience working as a Teaching Assistant and also undertook an internship at Siemens Healthineers focusing on diagnostic imaging and lab systems.

I have led and contributed to several technical projects such as computer vision-based safety helmet detection, combinatorial optimization for vehicular networks, and development of a Parkinson’s vibration monitoring glove. I have good command of multiple programming languages and technical skills spanning machine learning, deep learning, AI explainability, and biomedical applications. I also actively contribute to the community via volunteering and have earned recognition in competitive settings including IEEE and ACPC contests.

Skills

Experience Level

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Beginner

Language

English

Fluent

Arabic

Fluent

German

Beginner

Work Experience

Teaching Assistant at Queen’s University

December 31, 2024 - August 21, 2025

Evaluated coursework and guided students on deep learning topics such as data analysis, neural networks, and model optimization. Assisted in designing and evaluating user interfaces focusing on usability, accessibility, and user experience principles.

Intern at Siemens Healthineers

September 30, 2022 - August 21, 2025

Completed training on Diagnostic Imaging and Laboratory Systems, including system operation and component analysis. Gained hands-on experience in maintenance, troubleshooting, and operation of CT and MRI scanners.