Research Interests
I am passionate about
multi-modal machine learning, foundation models, and data
science. My research keywords are listed below.
Technical research
keywords: Computer Vision, Deep Learning,
Semi-supervised Learning, Self-supervised Learning,
Spatio-temporal Deep Models, Generative Models, LLMs,
Adversarial Training, Image Quality Improvement, Generative
Adversarial Networks, Predictive Uncertainty, Data Mining,
Knowledge Discovery, Big Data in Healthcare.
Clinical research keywords: AI Accelerated Therapeutics, Therapeutics Discovery, T1D, Cardiac Disease, Brain Disease, Echocardiography, X-Ray, MRI, Data Quality Assurance, Medical Imaging, Electronic Health Record.
Education
Research
Fellow - Machine Learning
Harvard Medical School, USA.
PhD,
Electrical & Computer Engineering - Machine Learning
UBC, Vancouver, Canada.
GPA: 4.33/4, A+, (1st-Class Standing)
MSc,
Computer Engineering - Software
IUT, Iran.
GPA: 4.0/4, (Ranked 1st among 30)
BSc,
Computer Engineering - Software
IUT, Iran.
GPA: 3.70/4, (Ranked 3rd among
100)
Receiving the Governor
General's Gold Medal |
|
Recording lectures of the EECE 571T course titled "Advanced Machine Learning Tools for Engineers" with Prof. Yedlin at UBC studios. Lectures available on YouTube |
Honored to be
the recipient of the ImFusion Artificial
Intelligence Translational Medicine Award,
Rennes, France. More |
|
UBC RCL Group at MICCAI
Conference |
Office
address:
1750 W
75th Ave
Vancouver, BC V6P
6G2
Canada