Dr. Ahmed Elwali joined Marian University in July 2023, assuming the role of a tenure-track assistant professor within Biomedical Engineering. Prior to joining Marian University, Dr. Elwali held positions as a postdoctoral fellow at distinguished institutions, including the Institute of Biomedical Engineering at The University of Toronto, the SleepdB lab at The University Health Network's Kite research institute, and the University of Manitoba. With a BSc in Electrical Communication and Electronics and a Ph.D. in Biomedical Engineering, he possesses expertise spanning signal processing, artificial intelligence (machine learning), wearable devices, smart textiles, and statistical data analysis. His proficiencies extend further into human-centered design, biomedical instrumentation, electronic circuitry, and embedded systems. Dr. Elwali fortified his academic foundation by completing a certificate in Higher Education Teaching from the University of Manitoba. He has ventured into entrepreneurship, co-founding tech-related startups that have honed his industry acumen
Dr. Elwali has prepared and delivered several lectures, labs, workshops, and tutorials on topics related to cardio-respiratory technologies, signal processing, data sciences, machine learning, electronics, biomedical instrumentation, programming language, and robotics. He has also mentored several school, undergraduate, and graduate students. Elwali has been leading several associations and has received the emerging leader award. He is also a recipient of several other awards, such as the Transform HF Post-Doc Trainee Award, the Top Post-Doctoral Student Sleep Research Award, and the Most Promising Bioscience Student of 2021. Elwali has written several successful grant proposals and has received more than $325,000 in grants and funding support.
- Ph.D. in Biomedical Engineering, Manitoba University.
- BSc in Electrical Communication and Electronics (Major: Electrical Engineering), Ain Shams University.
Interests and Expertise
- Developing equitable and inclusive technologies in the fields of digital health, medicine, and wellness.
- Signal processing
- Artificial intelligence (machine learning)
- Wearable devices
- Smart textiles
- Statistical data analysis.
- Human-centered design
- Biomedical instrumentation
- Electronic circuitry
- Embedded systems
- Sleep disorders, hand collateral circulation, pressure ulcers, respiratory problems, heart problems, and others.
- Elwali and Z. Moussavi. (2021). "A feature reduction and selection algorithm for improved obstructive sleep apnea classification process," Medical and Biological Engineering and Computing (IF of 3.52). https://doi.org/10.1007/s11517-021-02421-y
- A. Elwali and Z. Moussavi. (2021). "Predicting Polysomnography Parameters from Anthropometric Features and Breathing Sounds Recorded during Wakefulness," Diagnostics (IF of 4.13), 11, 905.
- A. Elwali and Z. Moussavi. (2020). "The Modified Allen Test and a Novel Objective Screening Algorithm for Hand Collateral Circulation using Differential Photoplethysmography for Preoperative Assessment: a Pilot Study," Journal of Medical Engineering and Technology (IF of 2.08), 1-12.
- A. Elwali and Z. Moussavi. (2019). " A Novel Decision Making Procedure during Wakefulness for Screening Obstructive Sleep Apnea using Anthropometric Information and Tracheal Breathing Sounds," Scientific Reports (IF of 4.38), Nature, 93.1.
- A. Elwali and Z. Moussavi. (2016). "Obstructive Sleep Apnea Screening and Airway Structure Characterization During Wakefulness Using Tracheal Breathing Sounds," Annals of Biomedical Engineering (IF of 4.16), pp. 1-12.
- Transformation Heart Failure Initiative, Canada.
- Professional Engineers Geoscientists Manitoba Association (EIT)
- Canadian Sleep Society (CSS) (Member)
- Toastmaster International (Member)
- Canadian Medical and Biological Engineering Society (CMBES) (Member)
- American Thoracic Society (ATS) (Member)
- Biomedical engineering graduate student association, U of M (President)
- University of Manitoba Graduate Student Association (UMGSA) (Member)
- Institute of Electrical and Electronics Engineering (IEEE) (Member)