Teaching
Training the next generation of clinician-scientists through courses, workshops, and graduate student supervision.
Course Direction
2-hour annual course on resuscitation for anesthesiology residents.
Clinical rotation in POCUS for anesthesiology residents, including hands-on training and certification preparation.
Complete redesign of the point-of-care ultrasound curriculum for the anesthesiology residency program.
Workshops & Training Programs
Graduate Student Co-Supervision
All supervision completed as co-supervisor while completing MSc in AI.
Completed Students (6 MSc/PhD)
Maryam Valipour
PhDCoronary perfusion pressure estimation during cardiac arrest by PPG waveform analysis
Co-supervised with: Jamal Bentahar
Completed 2024
ThesisKimia Nematikalkani
MScNew generation of high fidelity cardiopulmonary resuscitation manikin
Co-supervised with: Lyes Kadem
Completed 2024
Zoé Lord
MScCardiovascular Resuscitation Identification Simulator in Space (CRISiS)
Co-supervised with: Lyes Kadem
Completed 2024
François LaBerge
MScBlood pressure estimation by photoplethysmography waveform analysis
Co-supervised with: Jamal Bentahar
Completed 2023
ThesisAndrea El-Khoury
MScEvaluation of CPR Performance: An in vitro study on a novel experimental setup
Co-supervised with: Lyes Kadem
Completed 2023
ThesisArijit Mandal
MSc3-D Printing of Piezoelectric Sensors for Continuous Blood Pressure Monitoring
Co-supervised with: Sampada Bodkhe
Completed 2023
ThesisJoin the Research Team
Looking for motivated graduate students interested in AI/ML for resuscitation, signal processing, clinical research, or medical device development.
Express Interest