RML at ICASSP 2026: PC-SSL for EEG Emotion Recognition
Niki Sheibani and Dr. Khan present PC-SSL at ICASSP 2026 — a predictive coding self-supervised learning framework for EEG-based emotion recognition, achieving state-of-the-art …
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Latest News
NSERC CREATE Grant: QuantOmics
Dr. Khan leads QuantOmics, Canada's first training pipeline bridging quantum nanotechnology, genomic data science, and AI — funded by NSERC CREATE to train 93 HQP over six years.
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Youth Reflection: Kids Help Phone AI Training Pilot
Kids Help Phone youth councillor Simran shares her perspective on RML's pilot project developing an agentic AI framework for training frontline mental health support workers.
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NSERC Alliance Grant Awarded for AI-Assisted Intestinal Ultrasound Analysis
Dr. Naimul Khan has been awarded an NSERC Alliance grant (with Mitacs Accelerate support) totalling $120K to develop AI algorithms for segmentation and analysis of intestinal …
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Bronze Medal at Kaggle — Bacterial Flagellar Motors Detection
RML wins Bronze medal (64th/1136 teams) in the Kaggle competition on Bacterial Flagellar Motors Detection in 3D Tomograms.
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Recent Publications
PC-SSL: A Predictive Coding-Based Self-Supervised Learning Framework for EEG Emotion Recognition
We introduce a predictive coding self-supervised learning (PC-SSL) approach to overcome the limitations of traditional supervised methods hindered by the high cost of labeling EEG …
niki-sheibani
Stress Classification From ECG Signals Using Vision Transformer
Vision transformers have shown tremendous success in numerous computer vision applications; however, they have not been exploited for stress assessment using physiological signals …
zeeshan-ahmad
DynaGuide: A Generalizable Dynamic Guidance Framework for Zero-Shot Guided Unsupervised Semantic Segmentation
We propose DynaGuide, a generalizable dynamic guidance framework that enables zero-shot guided unsupervised semantic segmentation without requiring labeled training data. The …
boujemaa-guermazi
Enhanced Cross-Dataset Electroencephalogram-Based Emotion Recognition Using Unsupervised Domain Adaptation
We propose an enhanced unsupervised domain adaptation framework for EEG-based emotion recognition that achieves robust cross-dataset generalization without requiring target-domain …
Md Niaz Imtiaz
Cross-Database and Cross-Channel Electrocardiogram Arrhythmia Heartbeat Classification Based on Unsupervised Domain Adaptation
We present an unsupervised domain adaptation approach for ECG arrhythmia classification that generalizes across different databases and lead configurations without requiring …
Md Niaz Imtiaz