Mohamed bin Zayed University of Artificial Intelligence · Abu Dhabi, UAE
I build safe, reliable, and scalable AI systems — spanning visual robustness across distribution shifts, trustworthy prediction through calibration, label-efficient learning, and AI for societal good in healthcare and climate resilience.
Vision systems that generalize reliably across unseen domains — domain generalization for detection, segmentation, and multimodal tasks under real-world distribution shifts.
⚖️
Reliable & Trustworthy Prediction
Model calibration, uncertainty estimation, and confidence-aware inference for safe AI deployment — calibrated detection and vision-language model alignment.
⚡
Label-Efficient & Scalable Learning
Few-shot, semi-supervised, and unsupervised methods — unsupervised landmark discovery, few-shot segmentation, and video self-supervised learning.
🌍
AI for Societal Good
Applications in healthcare (diabetic retinopathy, medical imaging), climate resilience, sustainability, and sign language recognition.