Wael Brahim

PhD, MASc, BScAssistant Professor, Master of Arts in Digital Media and Global Communications

Wael Brahim is an accomplished academic and researcher specializing in computer vision, artificial Intelligence, and 2D/3D image processing. With a PhD in Computer Science from the University of Tunis El Manar, Dr. Brahim has made significant contributions to the fields of medical imaging and healthcare technologies. His doctoral research focused on segmenting malignant pleural mesothelioma from CT scans to enhance photodynamic therapy planning, showcasing his expertise in advanced image processing algorithms.

Before embarking on his PhD, Wael honed his technical and creative skills through numerous freelance projects, designing and implementing advertising games for the marketing field. This experience gave him a strong foundation in blending technology with creativity to deliver innovative solutions.

In 2018, Wael was awarded the prestigious MIRA Post-Doctoral Fellowship for his groundbreaking work on remote breathing monitoring systems, aimed at improving the quality of life for elderly and at-risk patients. This project exemplifies his commitment to developing technologies that bridge the gap between clinical diagnostics and preventative healthcare.

Wael’s academic journey includes teaching and research roles at McMaster University, where he delivered specialized courses such as SEP791: Virtual Reality, Augmented Reality, and Mixed Reality, SEP742: Visual Perception for Autonomous Vehicles, 6VE3: Visual Effects, and 6CG4: Computer Graphics. His dynamic teaching style and deep technical expertise have inspired many students to excel in cutting-edge technologies.

As an assistant professor at the University of Niagara Falls Canada, Wael continues to inspire the next generation of technologists through his dynamic teaching and research initiatives. He has published extensively in peer-reviewed journals, contributing to advancements in medical imaging and segmentation technologies. His work reflects a deep passion for leveraging technology to solve real-world problems, particularly in healthcare.

Wael's diverse academic and professional experiences have equipped him with a unique perspective, combining technical expertise with a focus on practical applications. He is a strong advocate for interdisciplinary collaboration and innovation, driving progress in both academia and industry.

Courses taught

Foundations of Digital Media, Intercultural Communication, Design Thinking and Digital Media, Interactive Communication, Design and Tools for Digital Media, The Present of Digital Communication: Metaverse, Virtual Reality, Augmented Reality, and Neuromarketing

Areas of academic interest

Digital communication, virtual reality, augmented reality, neuromarketing, game development, computer vision, artificial intelligence

Areas of specialization

Medical simulation, 2D/3D image processing, intelligent systems, game development

Awards

Awarded the prestigious MIRA Post-Doctoral Fellowship for groundbreaking work on remote breathing monitoring systems aimed at improving the quality of life for elderly and at-risk patients

Publications

Journal papers

Brahim, W., Mestiri, M., Betrouni, N., & Hamrouni, K. (2018). Malignant pleural mesothelioma segmentation for photodynamic therapy planning. Computerized Medical Imaging and Graphics, 65, 79–92. https://doi.org/10.1016/j.compmedimag.2017.05.006
Brahim, W., Betrouni, N., Mestiri, M., & Hamrouni, K. (2018). The pleural thickening approximation from thoracic CT scans. Multimedia Tools and Applications, 78, 13033–13046. https://doi.org/10.1007/s11042-018-6882-y

Conference papers

Brahim, W., Mestiri, M., Betrouni, N., & Hamrouni, K. (2017). Malignant pleural mesothelioma segmentation from thoracic CT scans. 2017 International Conference on Advanced Technologies for Signal and Image Processing (ATSIP), Fez, Morocco, 1–5. https://doi.org/10.1109/ATSIP.2017.8075605
Brahim, W., Mestiri, M., Betrouni, N., & Hamrouni, K. (2016). Semi-automated rib cage segmentation in CT images for mesothelioma detection. 2016 International Image Processing, Applications and Systems (IPAS), Hammamet, Tunisia, 1–6. https://doi.org/10.1109/IPAS.2016.7880133
Brahim, W., Mestiri, M., Betrouni, N., & Hamrouni, K. (2014, December 19). Segmentation automatique de la cavité thoracique pour la planification dosimétrique de la thérapie photodynamique. Workshop AMINA 2014: Applications Médicales de l’informatique: Nouvelles Approches, November 13–15, 2014, Monastir, Tunisia.

Land acknowledgement

University of Niagara Falls Canada acknowledges that the land we gather on is located on the traditional territory of the Haudenosaunee, Hatiwendaronk and Anishinaabe peoples. We also acknowledge the many other First Nations, Métis, and Inuit peoples who call this region home.

We commit to building relationships based on respect, reciprocity, and reconciliation as we work, learn, and gather on this land. Furthermore, we acknowledge that the Niagara region is situated on treaty land, and we stand with all Indigenous peoples, past and present, in promoting the wise stewardship of the lands on which we live.

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