Waziha Kabir

Collaborated with clinical professionals and guided them to deploy AI models in different clinics; improved deployed AI models based on client feedback.

Identified next-generation research areas by collaborating with potential industrial partners; conducted extensive research on developing new algorithms for retinal-based diagnostic and screening systems; published papers in major journals and conferences; presented research in multiple states USA; won 1st place at MICCAI for the Glaucoma Grading Challenge.

Researched and developed cutting-edge ML/DL technologies in retinal image analysis using fundus and OCT; trained, validated and tested AI models for detection, classification and prediction of retinal abnormalities (DR, AMD, HR, AVR, OCT, Tortuosity, Laterality); deployed AI models in healthcare systems; delivered industrial projects to clients on time; prepared documentation for ISO, Health Canada, FDA regulatory applications and government tenders; secured funding from government and private investors; influenced company infrastructure with recent scientific papers, publishing research works, organizing AI workshops and hiring highly skilled candidates.