Faculty profile
Shahryar Rahnamayan
Back to facultyThis profile is built from public research funding records (CIHR, NSERC and SSHRC) and PubMed. We have not imported them from a Ontario Tech University directory, so their courses and email address may be missing. Find their university profile.
Research
Latest papers
Biased data, biased AI: deep networks predict the acquisition site of TCGA images
Diagnostic Pathology · 2023 · senior author
Bias reduction in representation of histopathology images using deep feature selection
Scientific Reports · 2022
Selection, Visualization, and Interpretation of Deep Features in Lung Adenocarcinoma and Squamous Cell Carcinoma
American Journal Of Pathology · 2021
Latest funding
- $150,000
Development platform for acoustoelectric impedance tomography in internal radiation therapy
NSERC · 2020 · Co-investigator
- $25,000
Snoring Event Detection Using Machine Learning Techniques
NSERC · 2018 · Principal investigator
- $280,000
Efficient Evolutionary Algorithms for Many-objective Optimization
NSERC · 2015 · Principal investigator
7 publications.
Biased data, biased AI: deep networks predict the acquisition site of TCGA images
Dehkharghanian T, Bidgoli AA, Riasatian A, Mazaheri P, Campbell CJV, Pantanowitz L, Tizhoosh HR, Rahnamayan S
Bias reduction in representation of histopathology images using deep feature selection
Selection, Visualization, and Interpretation of Deep Features in Lung Adenocarcinoma and Squamous Cell Carcinoma
An evolutionary decomposition-based multi-objective feature selection for multi-label classification.
Asilian Bidgoli A, Ebrahimpour-Komleh H, Rahnamayan S
Sequential Registration-Based Segmentation of the Prostate Gland in MR Image Volumes.
Khalvati F, Salmanpour A, Rahnamayan S, Haider MA, Tizhoosh HR
Color separation in forensic image processing using interactive differential evolution.
Mushtaq H, Rahnamayan S, Siddiqi A
Heterogeneous differential evolution for numerical optimization.
Wang H, Wang W, Cui Z, Sun H, Rahnamayan S
Development platform for acoustoelectric impedance tomography in internal radiation therapy
Principal investigators: Rossa, Carlos
Snoring Event Detection Using Machine Learning Techniques
Principal investigators: Rahnamayan, Shahryar
Efficient Evolutionary Algorithms for Many-objective Optimization
Principal investigators: Rahnamayan, Shahryar
Keywords: evolutionary computation; metaheuristics; computational intelligence algorithms; multi-objective optimization; many-objective optimization; population-based algorithms; nature inspired problem solving; machine learning; visualization
Oppostition-based evolutionary algorithms: toward solving high-dimensional optimization problems efficiently
Principal investigators: Rahnamayan, Shahryar
Advancement of sensor array processing and MIMO signal processing for non-destructive testing
Principal investigators: Shahbazpanahi, Shahram
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
- Clinton Campbell and Phedias Diamandis: 3 shared papers
- Clinton Campbell and Shahryar Rahnamayan: 1 shared paper
- Phedias Diamandis and Shahryar Rahnamayan: 1 shared paper
- Farzad Khalvati and Shahryar Rahnamayan: 1 shared paper
- Ali Grami and Shahryar Rahnamayan: 1 shared paper
- Electrical, Computer and Software Engineering
- Pathology & Molecular Medicine
- Department of Medical Imaging
- Laboratory Medicine and Pathology
Co-authors at Ontario Tech University, colored by department. Thicker lines mean more shared papers; select anyone to open their profile and their own map.
Clinton Campbell
Pathology & Molecular Medicine
1 shared papers, latest 2023
Phedias Diamandis
Laboratory Medicine and Pathology
1 shared papers, latest 2021
Farzad Khalvati
Department of Medical Imaging
1 shared papers, latest 2016
Ali Grami
Electrical, Computer and Software Engineering
1 shared papers, latest 2022
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