Faculty profile

Raza Abidi

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ProfessorComputerscienceDalhousie University

Raza Abidi

Professor

Computerscience

Dalhousie University

Halifax, Nova Scotia, Canada

Supervision signals

Professors usually supervise graduate students in their department's programs.
54 publications in the last five years, latest in 2026.
Senior (last) author on 33 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

265

Publications

2,666

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

Director of Health Informatics

Profiles and links

University Profile

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iDORCID OpenAlex

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Signals and details

Research

Read how they describe their research on their Dalhousie University profile.

Latest papers

Machine learning for frailty assessment and outcome prediction in cardiovascular disease: A scoping review.
Ageing research reviews · 2026
Culturally and linguistically adapted digital diabetes health applications improve self-management and clinical outcomes in racialized immigrants: a systematic scoping review.
International journal of medical informatics · 2026
A Counterfactual Analysis Framework based on Uncertainty Guided Contrastive Learning for Donor-Recipient Matching in Organ Transplantation
SSRN Electronic Journal · 2026 · senior author

All 265 publications

From the 150 most recent of 265 publications.

Machine learning for frailty assessment and outcome prediction in cardiovascular disease: A scoping review.

Quach J, Theou O, Maxwell S, Abidi SSR, Song X, Rockwood K, Kehler DS

Ageing research reviews20264 citationsOpen Access

DOI: 10.1016/j.arr.2026.103122 PMID: 41941969

Culturally and linguistically adapted digital diabetes health applications improve self-management and clinical outcomes in racialized immigrants: a systematic scoping review.

Budzi D, Karavetian M, Saad A, Zafar Z, Ali A, Raza Abidi SS, Pottie K

International journal of medical informatics20261 citationsOpen Access

DOI: 10.1016/j.ijmedinf.2026.106640 PMID: 42561768

A Counterfactual Analysis Framework based on Uncertainty Guided Contrastive Learning for Donor-Recipient Matching in Organ Transplantation

Syed Asil Ali Naqvi, Karthik Tennankore, Syed Sibte Raza Abidi

SSRN Electronic Journal20261 citationsSenior authorOpen Access

DOI: 10.2139/ssrn.6250498

A Knowledge Graph to Represent and Predict Cancer Mechanistic Associations.

Calagari M, Abidi S, Abidi SSR

Studies in health technology and informatics2026Senior authorOpen Access

DOI: 10.3233/shti260169 PMID: 42174845

Finding Associative and Causal Effects of Temporal Changes in Health Features for Prevalent and Incident Cancer in Males: A Machine Learning Approach.

Choubineh A, Abidi SSR, Sweeney E, Abidi S

Studies in health technology and informatics2026Open Access

DOI: 10.3233/shti260111 PMID: 42174788

From XAI-Driven Decision Paths to Processes: Mining and Clustering Decision Paths for Interpretable Kidney Transplant Prediction

Ehsan Baratnezhad, William Van Woensel, Jaber Rad, Syed Sibte Raza Abidi

Communications in computer and information science2026Senior author

DOI: 10.1007/978-3-032-21514-7_14

Longitudinal Trends of Depression in Traumatic Brain Injury: The Role of Individual Heterogeneity in Clinical Prediction

Nelofar Kureshi, David B. Clarke, Abraham Nunes, Cindy Xin Feng, Syed Sibte Raza Abidi

International Journal of Mental Health and Addiction2026Senior authorOpen Access

DOI: 10.1007/s11469-026-01668-6

Within-Phenotype Socioeconomic Disparities in Cancer Detection: A Topological Data Analysis of a Population-Based Cohort

Nelofar Kureshi, Samina Abidi, Ellen Sweeney, Syed Sibte Raza Abidi

Lecture notes in computer science2026Senior author

DOI: 10.1007/978-3-032-30813-9_8

Gradient-Based Counterfactual Optimization for Kidney Transplant Allocation Using Gumbel-Softmax Relaxation

Syed Asil Ali Naqvi, Karthik Tennankore, Amanda Vinson, George Worthen, Syed Sibte Raza Abidi

Lecture notes in computer science2026Senior author

DOI: 10.1007/978-3-032-30710-1_41

Graph Attention Networks for Donor-Recipient Matching in Kidney Transplantation

Sheida Majouni, Karthik Tennankore, Samina Abidi, Amanda Vinson, Syed Sibte Raza Abidi

Lecture notes in computer science2026Senior author

DOI: 10.1007/978-3-032-30813-9_53

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

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Raza Abidi

Research

Latest papers

Machine learning for frailty assessment and outcome prediction in cardiovascular disease: A scoping review.

Culturally and linguistically adapted digital diabetes health applications improve self-management and clinical outcomes in racialized immigrants: a systematic scoping review.

A Counterfactual Analysis Framework based on Uncertainty Guided Contrastive Learning for Donor-Recipient Matching in Organ Transplantation

A Knowledge Graph to Represent and Predict Cancer Mechanistic Associations.

Finding Associative and Causal Effects of Temporal Changes in Health Features for Prevalent and Incident Cancer in Males: A Machine Learning Approach.

From XAI-Driven Decision Paths to Processes: Mining and Clustering Decision Paths for Interpretable Kidney Transplant Prediction

Longitudinal Trends of Depression in Traumatic Brain Injury: The Role of Individual Heterogeneity in Clinical Prediction

Within-Phenotype Socioeconomic Disparities in Cancer Detection: A Topological Data Analysis of a Population-Based Cohort

Gradient-Based Counterfactual Optimization for Kidney Transplant Allocation Using Gumbel-Softmax Relaxation

Graph Attention Networks for Donor-Recipient Matching in Kidney Transplantation

Frequent collaborators

Syed Abidi

Karthik Tennankore

Samina Abidi

Patrice Roy

Samuel Stewart

Amanda Vinson

Janet Curran

Cindy Feng

Abraham Nunes

Malcolm Heywood

Marc Carrier

Wojtek Michalowski

Ellen Sweeney

Rita Orji

Helena Piccinini-Vallis

Ejemai Eboreime

Micheal Vallis

Evangelos Milios

Pantelis Andreou

Janie Astephen Wilson

Vincent Agyapong

Bhanu Prasad