Peyman

Peyman Gholami


PhD student
Computer Science Department
University of British Columbia

email: peymang@cs.ubc.ca

About me

I am currently a PhD student, studying Computer Science at UBC, supervised by Leonid Sigal and Robert Xiao.
My passion broadly lies in artificial intelligence, computer vision, and machine learning. What I am really interested in is analyzing images and videos to apply my knowledege in machine learnin and artificial intelligence into practical applications.

Currently I am focusing on facilitating building tools to facilitate using AI generative models. To see the detailed information about my experiences, projects and publications please see my CV.

I completed my M.Sc. studies jointly in Vision Science and System Design Engineering at the University of Waterloo, under the supervision of Vasudevan Lakshminarayan and John Zelek. I was as also part of the VIP lab.


Education

ubc
Univeristy of
British Columbia
PhD


Computer Science

waterloo
University of Waterloo
Master of Science


Vision Science &
System Design Eng.

aut
Amirkabir University 
of Technology
Bachelor of Science
(with Honors)

Biomedical Eng.

Internships

Microsoft
Microsoft
Research Intern

Dynamic Sparse Attention for Improving Efficiency in Foundation Models

Meta
Meta
SWE Intern

Enhancing Localization and Image Understanding in Vision Language Models

Google DeepMind
Google DeepMind
Student Researcher

Data Mixture
and
Agentic Skills

Experiences

o  Principal Investigator of the Face Alignment, Eyelids, and Fatigue Metrics components of the Mirametrix              Attention Sensing Engine
o  Designed the structure and fined tuned various neural networks for facial landmark localization
o  Mentored and defined projects for several interns working in machine learning, e.g., deep 3D face alignment      for automatic labeling task
o  Designed and built a ground truth system for the accurate evaluation of face and head tracking systems

o  Developed brand-new image processing and machine learning algorithms for the analysis of different                 medical/natural images
o   Decoded big collection of medical data using batch scripts and constructed a platform for training deep             neural networks for tracking retinal health

o  Designed and implemented several visual perception experiments, e.g., relative judgment for autistic                  subjects, motion coherence, reverse phi phenomenon, etc.
o  Formulated and introduced a brand-new active contour-based image segmentation algorithm
o  Collected and set up an open access OCT image database    

o   Designed and prototyped a visual feedback for controlling bioprinter robot
o   Proposed a computer vision protocol for wound depth estimation using disparity map

o   Assisted on the installation, trouble shooting, and maintenance of different  medical imaging devices, e.g.           MRI, CT Scan, XRay at the customer service department.
o   Administrated the safety standards of medical devices at the sales and marketing department

Contacts

Adress

2366 Main Mall #460, Vancouver, BC, Canada, V6T 1Z4                       

Email

peymang@cs.ubc.ca                         

Office hours

Monday, 14:30 - 15:30