Faculty profile
Behrouz Far
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Research
Latest papers
Centralized pooling and federated learning for Canadian patient-level data sharing in multicenter medical AI: A scoping review.
Artificial intelligence in medicine · 2026
Analyzing clinical variables indicative of uveal melanoma to determine how they affect decisions made by an artificial intelligence classifier.
Canadian journal of ophthalmology. Journal canadien d'ophtalmologie · 2025
AI-CMCA: a deep learning-based segmentation framework for capillary microfluidic chip analysis.
Scientific reports · 2025
Latest funding
- $46,000
Enhancing pedestrian accessibility and safety using intelligent indoor and outdoor mapping system
NSERC · 2024 · Principal investigator
- $608,175
RACE Concussion Study: Rapid, accurate cost-effective assessment of fluid biomarkers using a hand-held biosensor in patients with concussion
CIHR · 2021 · Co-investigator
- $500,000
REMOTE Study: Longitudinal Monitoring of the Incidence of SARS-CoV-2 Infection and Immunity Levels in Long-term Care Facilities
CIHR · 2021 · Co-investigator
4 publications.
Centralized pooling and federated learning for Canadian patient-level data sharing in multicenter medical AI: A scoping review.
Jafarinezhad O, Zhang Q, Rezai R, Noaeen M, Shachak A, Far B, Shakeri Z
Analyzing clinical variables indicative of uveal melanoma to determine how they affect decisions made by an artificial intelligence classifier.
Laycock E, Weis E, Sylvestre-Bouchard A, Curtis R, Shakeri E, Mohammed E, Far B, Crump T
AI-CMCA: a deep learning-based segmentation framework for capillary microfluidic chip analysis.
Khalghollah M, Zare A, Shakeri E, Far B, Sanati-Nezhad A
Bi-ECDAQ: An electrochemical dual-immuno-biosensor accompanied by a customized bi-potentiostat for clinical detection of SARS-CoV-2 Nucleocapsid proteins.
Salahandish R, Haghayegh F, Ayala-Charca G, Hyun JE, Khalghollah M, Zare A, Far B, Berenger BM, Niu YD, Ghafar-Zadeh E, Sanati-Nezhad A
Enhancing pedestrian accessibility and safety using intelligent indoor and outdoor mapping system
Principal investigators: Far, Behrouz
Keywords: outdoor mapping system; indoor mapping system; navigation algorithm; real-time location systems (rtls); robust machine learning; ultra-wide band (uwb); machine learning; accessibility; safety; sidewalk system
RACE Concussion Study: Rapid, accurate cost-effective assessment of fluid biomarkers using a hand-held biosensor in patients with concussion
Principal investigators: Sanati Nezhad, Amir; Debert, Chantel T
Keywords: Biosensors; Clinical Evaluation; Concussion; Digital Health Monitoring; In-Home Monitoring; Machine Learning; Microfluidics; Mild Traumatic Brain Injury; Protein Markers
REMOTE Study: Longitudinal Monitoring of the Incidence of SARS-CoV-2 Infection and Immunity Levels in Long-term Care Facilities
Principal investigators: Sanati Nezhad, Amir; Duffett-Leger, Linda A; Ferber, Reed
Keywords: Biosensors; Digital Health; Immunity Level; Improved Care; Infectious Monitoring; Long-Term Care Facilities; Machine Learning Models; Point-Of-Care; Vaccination
A platform for high accuracy real-time tracking of dynamic multi-objects using auto-positioning and artificial intelligence to increase safety in construction sites
Principal investigators: Sadeghpour, Farnaz F
Using Novel Deep Functional Learning to Detect and Develop Personalized Risk Scores for Uveal Melanoma
Principal investigators: Crump, Robert
Keywords: Eye disease Uveal neoplasms Deep learning Neural networks Graph neural networks Risk scores Patient-specific modeling Decision support techniques Patient-centered care
COVID-19 Variant Supplement - Rapid, Ultrasensitive Clinical Detection of 2019 Novel Coronavirus (nCOVID-19) by Novel Microfluidic Electrochemical Nano-Biosensors
Principal investigators: Sanati Nezhad, Amir; Niu, Dongyan
Keywords: 2019-Ncov; Coronavirus; Diagnostic Kit; Electrochemical Sensing; Immunoassay; Lab On Chip; Rapid Diagnosis; Surveillance
Rapid, Ultrasensitive Clinical Detection of 2019 Novel Coronavirus (nCOVID-19) by Novel Microfluidic Electrochemical Nano-Biosensors
Principal investigators: Sanati Nezhad, Amir; Niu, Dongyan
Keywords: 2019-Ncov; Coronavirus; Diagnostic Kit; Electrochemical Sensing; Immunoassay; Lab On Chip; Rapid Diagnosis; Surveillance
Data analytics approach to design verification of distributed systems and sensor networks
Principal investigators: Far, Behrouz
Verification of distributed and multi-agent systems using data analytics and message contents independence approach
Principal investigators: Far, Behrouz
Fusion of simulated and real traffic data for smart spatiotemporal applications
Principal investigators: Far, Behrouz
From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.
Frequent collaborators
- Amir Sanati Nezhad and Ebrahim Ghafar-Zadeh: 3 shared papers
- Amir Sanati Nezhad and Behrouz Far: 2 shared papers
- Trafford Crump and Behrouz Far: 1 shared paper
- Zahra Shakeri and Behrouz Far: 1 shared paper
- Behrouz Far and Ebrahim Ghafar-Zadeh: 1 shared paper
- Electrical & Software Engineering
- Biomedical Engineering
- Computer Science and Engineering
- Medicine
- Institute of Health Policy, Management, and Evaluation
Co-authors at University of Calgary, colored by department. Thicker lines mean more shared papers; select anyone to open their profile and their own map.
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