Over 200 publications in leading journals and conferences in medical image analysis.
[Aug 2025] Two papers accepted at EMNLP.
[Aug 2025] Team ranked 1st in AIM 2025 Rip Current Segmentation (RipSeg) Challenge.
[July 2025] One paper accepted at ACM Multimedia (ACMM) and one at CIKM.
[July 2025] Released OphNet-3D, the first extensive RGB-D dynamic 3D reconstruction dataset for ophthalmic surgery.
[April 2025] Two papers accepted at MICCAI and two at IEEE SMC.
[March 2025] One paper accepted at CVPR (Oral) and one at ACL (Oral).
[March 2025] One paper accepted at NPJ Digital Medicine.
Serves as Associate Editor for IEEE TNNLS, Neural Networks, IEEE TCSS, and IEEE JBHI.
Background
Associate Professor in the Department of Computational Biology at MBZUAI, Abu Dhabi, UAE.
Research focuses on connecting language and vision for better interpretation of multidimensional data, spanning Machine Learning, Computer Vision, and Natural Language Processing.
Emphasizes healthcare applications and using natural language to explain the rationale behind AI decision-making.
Has strong expertise in analyzing medical images (US, mammogram, CT, PET, MRI, fMRI) to improve patient outcomes.
Collaborates with medical professionals to develop early diagnostic tools for cancer, neurodegenerative diseases, and heart disease.