Faculty profile

Zahra Moussavi

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ProfessorDepartment of Electrical and Computer EngineeringUniversity of Manitoba

Zahra Moussavi

Professor

Department of Electrical and Computer Engineering

Price Faculty of Engineering

University of Manitoba

Winnipeg, Manitoba, Canada

Supervision signals

Professors usually supervise graduate students in their department's programs.
70 publications in the last five years, latest in 2026.
Senior (last) author on 56 recent papers, a sign of leading a research group.

These signals come from public records, including federal and provincial funding decisions. Ask the professor or the graduate program whether they are taking new students.

Academic metrics

308

Publications

4,117

Citations

Collaborators

Publications by year

Counts cover the publications linked to this profile. Citations and the h-index appear when the source records them.

Roles and appointments

Canada Research Chair (Tier 1)

Profiles and links

University Profile Google Scholar

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Signals and details

Research

Read how they describe their research on their University of Manitoba profile.

Biomedical Engineering biological signal processing cognitive science

Latest papers

CUES: A Multiplicative Composite Metric for Evaluating Clinical Prediction Models Theory, Inference, and Properties
Mathematics · 2026 · senior author
Predicting 1-Year Mortality in Patients with Non-ST Elevation Myocardial Infarction (NSTEMI) Using Survival Models and Aortic Pressure Signals Recorded During Cardiac Catheterization
Signals · 2026 · senior author
Awake Insights for Obstructive Sleep Apnea: Severity Detection Using Tracheal Breathing Sounds and Meta-Model Analysis
Diagnostics · 2026 · senior author

All 308 publications

From the 150 most recent of 308 publications.

CUES: A Multiplicative Composite Metric for Evaluating Clinical Prediction Models Theory, Inference, and Properties

Ali Mohammad Alqudah, Zahra Moussavi

Mathematics202615 citationsSenior authorOpen Access

DOI: 10.3390/math14030398

Predicting 1-Year Mortality in Patients with Non-ST Elevation Myocardial Infarction (NSTEMI) Using Survival Models and Aortic Pressure Signals Recorded During Cardiac Catheterization

Seyed Reza Razavi, Ashish H. Shah, Zahra Moussavi

Signals20261 citationsSenior authorOpen Access

DOI: 10.3390/signals7010015

Awake Insights for Obstructive Sleep Apnea: Severity Detection Using Tracheal Breathing Sounds and Meta-Model Analysis

Ali Mohammad Alqudah, Zahra Moussavi

Diagnostics2026Senior authorOpen Access

DOI: 10.3390/diagnostics16030448 PMID: 41681767

Interpretable Acoustic Features from Wakefulness Tracheal Breathing for OSA Severity Assessment

Ali Mohammad Alqudah, Walid Ashraf, Brian Lithgow, Zahra Moussavi

Journal of Clinical Medicine2026Senior authorOpen Access

DOI: 10.3390/jcm15031081 PMID: 41682762

A Two-Level Ensemble Machine Learning Framework for OSA Classification Whilst Awake from Noisy Tracheal Breathing Sounds

Vahid Bastani Najafabadi, Walid Ashraf, Ahmed Elwali, Zahra Moussavi

Sensors2026Senior authorOpen Access

DOI: 10.3390/s26041349 PMID: 41755288

Artificial Intelligence in Extended Reality and Digital Rehabilitation Technologies for Fall Prevention in Older Adults: A Rapid Review of the Evidence.

Haris M, Martins BA, Cai B, Dueck B, Elliott B, Gibbons J, Park M, Lê ML, Peng K, Moussavi Z, Pangandaman H, Veras M

NeuroRehabilitation2026Open Access

DOI: 10.1177/10538135261488430 PMID: 42754841

Exploratory Study of the Neurophysiological Monitoring of the Efficacy of Transcranial Alternating Current Stimulation as a Treatment for Alzheimer’s Disease

Brian Lithgow, Zahra Moussavi

Advances in Geriatric Medicine and Research2026Senior authorOpen Access

DOI: 10.20900/agmr20260024

Survival prediction modeling for 1-year mortality in patients with ST elevation myocardial infarction (STEMI) undergoing primary percutaneous coronary intervention (PPCI).

Razavi SR, Shah AH, Moussavi Z

Heart & lung : the journal of critical care2026Senior author

DOI: 10.1016/j.hrtlng.2026.102851 PMID: 42190311

A Review of Deep Learning for Biomedical Signals: Current Applications, Advancements, Future Prospects, Interpretation, and Challenges

Ali Mohammad Alqudah, Zahra Moussavi

Computers, materials & continua/Computers, materials & continua (Print)202547 citationsSenior authorOpen Access

DOI: 10.32604/cmc.2025.063643

Bridging Signal Intelligence and Clinical Insight: A Comprehensive Review of Feature Engineering, Model Interpretability, and Machine Learning in Biomedical Signal Analysis

Ali Mohammad Alqudah, Zahra Moussavi

Applied Sciences202516 citationsSenior authorOpen Access

DOI: 10.3390/app152212036

Profile data last refreshed on September 29, 2026 from the university directory, publication records and public research funding records.

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Zahra Moussavi

Research

Latest papers

CUES: A Multiplicative Composite Metric for Evaluating Clinical Prediction Models Theory, Inference, and Properties

Predicting 1-Year Mortality in Patients with Non-ST Elevation Myocardial Infarction (NSTEMI) Using Survival Models and Aortic Pressure Signals Recorded During Cardiac Catheterization

Awake Insights for Obstructive Sleep Apnea: Severity Detection Using Tracheal Breathing Sounds and Meta-Model Analysis

Interpretable Acoustic Features from Wakefulness Tracheal Breathing for OSA Severity Assessment

A Two-Level Ensemble Machine Learning Framework for OSA Classification Whilst Awake from Noisy Tracheal Breathing Sounds

Artificial Intelligence in Extended Reality and Digital Rehabilitation Technologies for Fall Prevention in Older Adults: A Rapid Review of the Evidence.

Exploratory Study of the Neurophysiological Monitoring of the Efficacy of Transcranial Alternating Current Stimulation as a Treatment for Alzheimer’s Disease

Survival prediction modeling for 1-year mortality in patients with ST elevation myocardial infarction (STEMI) undergoing primary percutaneous coronary intervention (PPCI).

A Review of Deep Learning for Biomedical Signals: Current Applications, Advancements, Future Prospects, Interpretation, and Challenges

Bridging Signal Intelligence and Clinical Insight: A Comprehensive Review of Feature Engineering, Model Interpretability, and Machine Learning in Biomedical Signal Analysis

Frequent collaborators

Zahra Kazem Moussavi

Azadeh Yadollahi

Tony Szturm

Xikui Wang

Debbie Kelly

Colleen Millikin

Mohammad Jafari Jozani

Lesley Fellows

Chathura Kumaragamage

Chase Figley

Ke Peng

María Uehara

Cheryl Glazebrook

Katinka Stecina

Frédéric Lesage

Marc Roig

Jed Meltzer

Marcus Ng

Mirella Veras

François Tremblay

Rabab Ward