Peyman Gholami
Scholar

Peyman Gholami

Google Scholar ID: DO-MuxsAAAAJ
University of British Columbia
Artificial IntelligenceMachine LearningGenerative AIComputer Vision
Citations & Impact
All-time
Citations
299
 
H-index
6
 
i10-index
5
 
Publications
17
 
Co-authors
3
list available
Resume (English only)
Research Experience
  • 2020–Present: Graduate Research Assistant, UBC CS Department, Vancouver – research in HCI, AI, and machine learning.
  • 2018–2020: Research Scientist at Mirametrix, Montreal – Principal Investigator for Face Alignment, Eyelids, and Fatigue Metrics components of the Attention Sensing Engine; designed and fine-tuned neural networks for facial landmark localization; mentored interns on deep 3D face alignment; built ground truth system for evaluating face/head tracking systems.
  • 2017–2018: Research Assistant at VIP Lab, University of Waterloo – developed novel image processing and ML algorithms for medical/natural image analysis; built platform for training DNNs to track retinal health.
  • 2016–2018: Research Assistant at TEEL, University of Waterloo – designed visual perception experiments (e.g., relative judgment in autistic subjects, motion coherence); proposed a new active contour-based segmentation algorithm; established an open-access OCT image database.
  • 2015–2016: Research Assistant at Endocrinology and Metabolism Research Institute, Tehran – prototyped visual feedback for bioprinter robot control; proposed computer vision protocol for wound depth estimation using disparity maps.
  • 2014–2015: Intern at GE MRI and X-Ray Department, Tehran – assisted in installation, troubleshooting, and maintenance of medical imaging devices (MRI, CT, X-ray); enforced safety standards in sales and marketing.