Faculty profile
Witold Pedrycz
Back to facultyThis profile is built from public research funding records (CIHR, NSERC and SSHRC) and PubMed. We have not imported them from a University of Alberta directory, so their courses may be missing. Find their university profile.
Latest papers
Intrinsic logit-based debiasing for class-imbalanced semi-supervised learning.
Neural networks : the official journal of the International Neural Network Society · 2026 · senior author
GECL: Fine-grained granular envelope contrastive learning for unsupervised domain adaptation.
Neural networks : the official journal of the International Neural Network Society · 2026 · senior author
A complex-valued widening spiking neural network.
Neural networks : the official journal of the International Neural Network Society · 2026
Latest funding
- $138,000
Interpretable and explainable rule-based modeling: analysis, design, and evaluation in the framework of Granular Computing and federated learning
NSERC · 2022 · Principal investigator
- $250,000
Computational Intelligence
NSERC · 2014 · Principal investigator
- $200,000
Computational Intelligence
NSERC · 2014 · Principal investigator
41 publications.
Intrinsic logit-based debiasing for class-imbalanced semi-supervised learning.
Tang Q, Cheng Y, Guo X, Wei X, Zhang S, Pedrycz W
GECL: Fine-grained granular envelope contrastive learning for unsupervised domain adaptation.
Li P, Wang P, Li Y, Shen Y, Pedrycz W
A complex-valued widening spiking neural network.
Liu F, Pedrycz W, Xu Q, Liu L, Xu J, Yang J, Wu W
Data-Driven Cation Engineering Guides Electrolyte Design for Sustainable Aqueous Zinc Battery Chemistries.
Xie X, Lyu Y, Ren H, Pedrycz W, Li Y, Yang Y, Tan X, Xie M, Guan Y, Xue Y, Chen N, Li Z
PBP_ICBA: a prediction of bacterial promoters in specific organisms using an improved convolutional block attention module.
Wang X, Liu C, Pedrycz W, Shang W
DILC-ESAE: Data-Info envelope stacked autoencoder on correlation among samples rather than themselves.
Ma J, Zhou C, Fan Z, Li Y, Shen Y, Pedrycz W, Wang P
Interpretable epidemic state estimation via rule based modeling.
Pisaneschi G, Salzo FP, Serio P, Pedrycz W
Interpretable inverse iteration mean shift networks for clustering tasks.
Zhang B, Yu Z, Wang J, Żelaszczyk M, Zhang Y, Mańdziuk J, Zhang C, Pedrycz W
Biomimetic model for computing missing data imputation and inconsistency reduction in pairwise comparisons matrices.
Koczkodaj WW, Pedrycz W, Pigazzini A, Pigazzini LP
H∞ controller design for Nabla discrete fractional-order systems.
Zhang JX, Lv Y, Zhang X, Pedrycz W
Interpretable and explainable rule-based modeling: analysis, design, and evaluation in the framework of Granular Computing and federated learning
Principal investigators: Pedrycz, Witold
Keywords: granular computing; fuzzy rule-based models; quality of information granules; interpretability; federated learning; clustering; principle of justifiable granularity; granular modeling
Computational Intelligence
Principal investigators: Pedrycz, Witold
Computational Intelligence
Principal investigators: Pedrycz, Witold
Computational Intelligence
Principal investigators: Pedrycz, Witold
Computational Intelligence
Principal investigators: Pedrycz, Witold
Keywords: CRC
A Granular Computing Methodology to Improve Record Quality for Master Data Management
Principal investigators: Pedrycz, Witold
Granular fuzzy models as a new paradigm of system modeling
Principal investigators: Pedrycz, Witold
Optimized design verification methodology of variation-tolerant Nanoscale systems
Principal investigators: Han, Jie
Unified decision-support surveillance and risk assessment architecture for livestock production systems, public and animal health and rural communities
Principal investigators: Pedrycz, Witold
Architectures of hybrid face recognition for systems of national safety
Principal investigators: Pedrycz, Witold
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
- Marek Reformat and Edmond Lou: 8 shared papers
- Marek Reformat and Witold Pedrycz: 1 shared paper
- Witold Pedrycz and Edmond Lou: 1 shared paper
- Witold Pedrycz and Zhi Li: 1 shared paper
- Witold Pedrycz and Jamal Bentahar: 1 shared paper
- Electrical and Computer Engineering
- Concordia Institute for Information Systems Engineering (CIISE)
- chemical and materials engineering
Co-authors at University of Alberta, colored by department. Thicker lines mean more shared papers; select anyone to open their profile and their own map.
Jamal Bentahar
Concordia Institute for Information Systems Engineering (CIISE)
1 shared papers, latest 2025
Zhi Li
chemical and materials engineering
1 shared papers, latest 2026
Edmond Lou
Electrical and Computer Engineering
1 shared papers, latest 2015
Marek Reformat
Electrical and Computer Engineering
1 shared papers, latest 2006
A short, specific email works best. This draft uses one of their recent papers; replace the parts in brackets with your own details before sending.