Payam Yazdian
Research Assistant at Simon Fraser University
Burnaby, British Columbia, Canada
Summary
👤
Senior🎓
Top SchoolPayam Yazdian is a PhD candidate in Computing Science at Simon Fraser University with about a decade of research experience in machine learning and human-centered AI, specializing in modelling and generating human behaviors for more natural digital interactions. He has applied this expertise in industry research roles at SEED (Electronic Arts) and Netflix’s Eyeline Studios, working on AI technologies for next-generation gaming and digital humans. His academic background in AI and robotics (MSc) and software engineering (BSc) complements a long history of teaching and research assistance across universities, from undergraduate programming to advanced robotics and pattern recognition. Payam blends rigorous academic inquiry with product-focused research, demonstrating an ability to move human-centric ML ideas toward immersive, real-time applications in entertainment. An underappreciated strength is his sustained engagement in both teaching and applied research, which helps him translate complex models into usable systems.
10 years of coding experience
5 years of employment as a software developer
high school diploma, mathematics and physics, 19.00/20, high school diploma, mathematics and physics, 19.00/20 at National Organization for Development of Exceptional Talents (Sampad)Master of Science (MSc), Artificial Intelligence and Robotics, Master of Science (MSc), Artificial Intelligence and Robotics at University of TehranBachelor of Science (BSc), Computer Software Engineering, Bachelor of Science (BSc), Computer Software Engineering at Sistan and Baluchistan UniversityDoctor of Philosophy - PhD, Computing Science, Doctor of Philosophy - PhD, Computing Science at Simon Fraser University
Persian, English
Github Skills (25)
machine-learning7
deep-learning6
gestures6
semantic5
large-scale5
synthesis5
caffe5
face5
pytorch5
artificial-intelligence4
face-tracking4
scale4
face-recognition4
face-detection3
computer-vision3
Programming languages (2)
Github contributions (5)
pjyazdian/Gesture2Vec
Aug 2022 - Feb 2023
This is an official PyTorch implementation of "Gesture2Vec: Clustering Gestures using Representation Learning Methods for Co-speech Gesture Generation" (IROS 2022).
Contributions:39 commits, 10 PRs, 54 pushes in 5 months
affective-computingco-speech-gesturegesture-generationhuman-robot-interactionmachine-learning
pjyazdian/MotionScript
Dec 2023 - Mar 2025
Contributions:31 pushes, 1 branch, 1 comment in 1 year 3 months
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