About

Mohammad Mahdi Kazemi

Robotics and Control Laboratory
2332 Main Mall, Vancouver, BC, Canada
Email: Click to reveal email

Ph.D Electrical and Computer Engineering, University of British Columbia (2021-Present), GPA: A+
M.A.Sc Electrical and Computer Engineering, University of British Columbia (2018-2021), GPA: A+
- Thesis: Towards a robust estimation of ejection fraction : a deep uncertainty aware approach.
B.S Mathematics, Isfahan University of Technology (2013-2018), GPA: 19.18/20 (Double Major)
- Thesis: A combinatorial approach to one-bit compressive radar sensing
B.S Electrical Engineering-Communications, Isfahan University of Technology (2013-2018), GPA: 18.41/20
- Thesis: A combinatorial approach to one-bit compressive radar sensing
High School, Ejehi High School (2009-2013), 19.5/20
- National Organization for Development of Exceptional Talents

NSERC Postgraduate Scholarship (PGSD), 2023-2026
Four Year Doctoral Fellowship (4YF), UBC, 2023-2027
Faculty of Applied Science Graduate Award (GSI), UBC, 2021-2024
President’s Academic Excellence Initiative PhD Award, UBC, 2021-2025
MICCAI 2020 travel award, 2020
MICCAI Young Scientist Award (shortlisted), 2020
Ranked 2nd among all 115 Electrical Engineering undergraduates, Isfahan University of Technology, 2018
Ranked 1st among all 30 Mathematics undergraduates, Isfahan University of Technology, 2018
Honorable mention, International Mathematics Competition, Bulgaria, 2017
Accepted for double major program (Electrical Engineering and Mathematics), Isfahan University of Technology, 2014

Kazemi Esfeh, M.M., et al. “DEUE: Delta Ensemble Uncertainty Estimation for a More Robust Estimation of Ejection Fraction” MICCAI 2022. Link
Kazemi Esfeh, M.M., et al. “A Transformer-based video analysis framework for Estimating Ejection Fraction from Echocardiograms”, 2022. (PrePrint)
Javadi, G., et al. “Towards Targeted Ultrasound-guided Prostate Biopsy by Incorporating Model and Label Uncertainty in Cancer Detection” IJCA Radiology and Surgery, 2022. Link
Kang, X., Kazemi Esfeh, M.M., et al. “A light-weight deep video network: towards robust assessment of ejection fraction on mobile devices” SPIE, 2022. Link
Kazemi Esfeh, M.M., et al. “A Deep Bayesian Video Analysis Framework: Towards a More Robust Estimation of Ejection Fraction.” MICCAI 2020. Link
Kazemi Esfeh, M.M., et al. “A Combinatorial Approach to One-Bit Compressive Radar Sensing.” Asilomar Conference, IEEE, 2018. Link