Peng Dai
Principal AIR, CV Lead at Kyoso
Toronto, Ontario, Canada
Summary
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Senior🎓
Top SchoolPeng Dai is a Principal AIR and Computer Vision lead based in Toronto with over a decade of experience bridging deep learning research and applied video/3D vision systems. He has led video understanding and neural rendering efforts at Huawei and now heads applied CV research at Kyoso, with a strong publication record visible on Google Scholar and an academic background culminating in a PhD from Nanyang Technological University. Peng’s work spans action recognition, self-supervised and few-shot learning, scene graph generation and manifold learning, and he has a history of competitive wins and top-tier conference acceptances. He is active in IEEE leadership, helping shape standards for LLM agents in education and organizing 3D multimedia workshops, signaling a blend of technical depth and community impact. Beyond corporate research, he mentors students and recruits across levels, and his cross-disciplinary postdoctoral projects in neurodegeneration and behavior modeling reflect an unusual fluency in applying ML to health and human-centric domains.
9 years of coding experience
10 years of employment as a software developer
Master Signal Processing Control Theory, Master Signal Processing Control Theory at Tianjin UniversityPhD Information Engineering, PhD Information Engineering at Nanyang Technological University Singapore
Github Skills (4)
neural-rendering10
3d6
multimodal5
llm2
Programming languages (4)
Github contributions (5)
pdaicode/pdaicode.github.io
Jun 2016 - Oct 2023
Contributions:50 PRs, 64 pushes, 4 branches in 7 years 5 months
pdaicode/DeepUnderstanding
Apr 2019 - Sep 2019
Contributions:18 commits, 17 pushes, 1 branch in 4 months
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