Welcome to my academic website!
I am a Ph.D. Graduate from the
in the Department of Electrical
and Computer Engineering at the University
of Toronto. I was under the supervision of
Dr. Anastasios (Tas) Venetsanopoulos .
Doctoral thesis focused on the design of a new theoretical method to model partial volume artifacts in the presence of noise for cerebral MRI.
Such a framework gives rise to highly accurate segmentation of cerebral anatomy and pathology. The approach was successfully applied to normal and pathological images (white matter lesions).
M.A.Sc. and B.Eng. from Ryerson University, where a generalized computer-aided diagnosis system for medical images was built that mimics human texture perception. Algorithm achieved high classification rates for mammogram, retinal and small bowel images.
Numerous awards, scholarships and recognitions were received, including the Governor General's Gold Medal and NSERC-CGSD3 (both are highest awards possible on a university- and federal-level, respectively).
Volunteering, teaching and mentoring within the community are extra-cirricular activies I have pursued for many years, in addition to offering Consulting Services through Khademi Consulting in the biomedical, signal and image processing domains.
Currently working at GE Healthcare as Algorithm Development Specialist.