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Currently, Almeida teaches oral radiology to DDS and DH students and advanced imaging to graduate students the clinical programs. She serves as the discipline lead of oral and maxillofacial radiology and the director of the UG Research Initiative Program. Her research interests include advanced imaging modalities (ultrasound, MRI and CBCT) applied to diagnosis in dentistry, particularly, TMJ and artificial intelligence applied to imaging.

Since beginning of her doctoral program in 2021, Ameli has published seven peer-reviewed papers specifically in the fields of machine learning and AI in dentistry and am involved in more than seven AI-related projects. Her research bridges both text and image data analysis to advance diagnostic and clinical decision-making in oral health care. Ameli currently serves as an academic teaching staff member at the ÌìÃÀ´«Ã½, where she contributes to both clinical education and research.

In addition, she has served for two consecutive years as the president of the Artificial Intelligence in Medicine Student Society (AIMSS), leading initiatives to integrate cutting-edge technologies into healthcare and enhance patient outcomes.

She particularly investigates psychosocial, behavioral, community, and societal influences on oral health and dental care access among disadvantaged populations. Her research program also leverages electronic health data and artificial intelligence to identify risk factors leading to adverse oral health outcomes and inequalities, while developing innovative strategies for public health promotion and oral disease prevention.

With over 50 research grants, Amin has produced more than 100 peer-reviewed papers and has supervised 32 graduate students (12 PhD, 20 MSc), 56 undergraduate summer research students, and 8 visiting scholars, presenting her work at various local, national, and international meetings.

Firoozi completed her PhD in the measurement, evaluation, and data science (MEDS) program at the ÌìÃÀ´«Ã½. She also holds a doctoral degree in applied linguistics. Firoozi’s research combines her knowledge in natural language processing (NLP) and applied linguistics with advanced data science methods to solve practical problems in health sciences and education. Currently, she is focusing on leveraging a medical knowledge graph into LLMs for diagnosis prediction.

His research interest is in analytics and psychometrics. His team has developed many learning solutions used throughout the Faculty of Medicine and Dentistry. He co-developed the method for automatic time generation that is now being used by testing agencies around the world.

After this, he moved to Edmonton to pursue a PhD in orthodontic which was completed in July 2009 in the ÌìÃÀ´«Ã½. Since then, Lagravère has moved in the faculty ranks being promoted to tenured-professor in orthodontics since July 2023 where he is involved in teaching orthodontics to undergraduates and postgraduates students.

During his time in teaching and doing research, Lagravère has won several awards and has published over 160 papers in important scientific journals. In July 2025, he will become the director of the orthodontic graduate program at the ÌìÃÀ´«Ã½.

Presently, he runs several clinical trials involving orthodontic treatments and its impact on airway, skeletal, and dental changes. In several of these trials, he works jointly with universities from the US, Italy, Spain, Germany, and Mexico. His research mainly focuses on the areas of maxillary expansion, bone-anchored mechanics, and three-dimensional analysis. He is also the Director of the Applied Oral Health Research Unit.

With over 90 peer-reviewed publications, her research focuses on 2D and 3D imaging applications, knowledge translation in dental imaging, and metrics related to patient satisfaction with oral health care. Embracing innovation and collaboration, she explores the use of cone beam computed tomography (CBCT) and alternative imaging tools to advance digital dentistry. Pacheco-Pereira is committed to integrating augmented intelligence into dental imaging, promoting knowledge translation in oral radiology, and advancing education by emphasizing imaging justification and the appropriate use of imaging modalities in dentistry.

From 2008 to 2012, he worked as an imaging research scientist at GE Healthcare, Canada. He is currently an associate professor in the Department of Radiology and Diagnostic Imaging at the ÌìÃÀ´«Ã½ and holds the Alberta Health Services chair in diagnostic imaging. He also serves as the operational and computational director at the Servier Virtual Cardiac Centre, Mazankowski Alberta Heart Institute.

Over the years, Punithakumar has had the opportunity to mentor more than 80 trainees, including postdoctoral fellows and PhD, MSc, medical, and undergraduate students, primarily in the areas of medical image computing and visualization. His work has resulted in over 70 peer-reviewed journal articles, a similar number of conference proceedings, and several patents. He has been recognized with the Industrial Research and Development Fellowship from NSERC in 2008, the IEEE Access Outstanding Associate Editor Award in 2018, and each year from 2020 to 2024.