Anas El Fathi, PhD
560 Ray C Hunt Dr
Dr. Anas El Fathi holds a master’s degree in electrical engineering from Polytechnique Montréal, and a master’s degree in aerospace engineering from ISAE, Toulouse, France. Between 2013 and 2016, he worked in the aerospace industry, where he designed simulation software for flight simulators. In 2020, he received his Ph.D. degree in Electrical and Computer Engineering at McGill University under the supervision of Dr. Benoit Boulet and Dr. Ahmad Haider. His research interest lies in applying engineering concepts, including control theory, system identification, Bayesian estimation, and machine learning, to solve clinical and biomedical problems. In 2020, he started a postdoctoral position at the Center for Diabetes Technology (CDT). Currently, his work focuses on developing algorithms for optimizing insulin dosing strategies to improve glucose regulation in type 1 diabetes, with a particular focus on people using insulin pens.
Ph.D. in Electrical and Computer Engineering, McGill University, Montréal, Canada (2020).
MA.Sc. in Electrical Engineering, Polytechnique Montréal, Montréal, Canada (2012).
Engineer’s Degree in Aerospace Engineering, ISAE-SUPAERO, Toulouse, France (2012).
- El Fathi, A., Kearney, R., Palisaitis, E., Boulet, B. and Haidar, A. “A Model-Based Insulin Dose Optimization Algorithm for People with Type 1 Diabetes on Multiple Daily Injections Therapy” IEEE Transaction on Biomedical Engineering. , vol. 68, no. 4, pp. 1208-1219, (2021).
- Palisaitis E., El Fathi, A., Von Oettingen, J.E. Legault, L. and Haidar, A. “A Meal Detection Algorithm for the Artificial Pancreas: A Randomized Controlled Clinical Trial in Adolescents with Type 1 Diabetes.” Diabetes Care. (2021); 44(2):604-6.
- El Fathi, A., Palisaitis E., Von Oettingen, J.E., Krishnamoorthy, P., Kearney, Legault, L. and Haidar, A. “A Pilot Non-Inferiority Randomized Controlled Trial to Assess Automatic Adjustments of Insulin Doses for Adolescents with Type 1 Diabetes on Multiple Daily Injections Therapy.” Pediatric Diabetes. (2020); 21(6):950-9.
- Palisaitis, E., El Fathi, A., Von Oettingen, J.E., Krishnamoorthy, P., Kearney, R., Jacobs, P., Rutkowski, J., Legault, L. and Haidar, A. “The Efficacy of Basal Rate and Carbohydrate Ratio Learning Algorithm for Closed-Loop Insulin Delivery (Artificial Pancreas) in Youth with Type 1 Diabetes in a Diabetes Camp.” Diabetes Technology & Therapeutics. (2020); 22(3):185-94.
- El Fathi, A., Palisaitis, E., Boulet, B., Legault, L. and Haidar, A. et al. “An Unannounced Meal Detection Module for Artificial Pancreas Control Systems.” 2019 American Control Conference (ACC). (2019) (pp. 4130-4135). IEEE.
- El Fathi, A., Smaoui, M.R., Gingras, V., Boulet, B. and Haidar, A. “The artificial pancreas and meal control: an overview of postprandial glucose regulation in type 1 diabetes.” IEEE Control Systems Magazine. (2018); 38(1):67-85.
Other publications can be found here.
- Fonds de Recherche Nature et Technologies (FRQNT) Doctoral Scholarship (2017 – 2019).
- Campus France merit scholarship for studies at ISAE-SUPAERO (2008 – 2011).
- McGill Excellence Doctoral Award (MEDA) (2016 – 2018).