Yinhao Zhu
Staff Engineer at Qualcomm
San Diego, California, United States
Summary
👤
Senior🎓
Top SchoolYinhao Zhu is a Staff Engineer at Qualcomm in San Diego, specializing in 3D computer vision with nine years of experience delivering scalable software and perception systems. He previously served as a Senior Engineer at Qualcomm from 2020 to 2023 before advancing to his current role, demonstrating a consistent track record of production-grade impact. He holds a PhD in Electrical Engineering from the University of Notre Dame, with a BS in Automatic Control from Tongji University and additional graduate studies in Control Science and Engineering. This blend of rigorous research training and hands-on industry execution enables him to bridge theoretical insights with real-world 3D vision challenges. Based in the San Diego area, he brings a global academic foundation to a fast-moving, hardware-informed software domain at Qualcomm.
9 years of coding experience
9 years of employment as a software developer
Bachelor of Science - BS, Automatic Control, Bachelor of Science - BS, Automatic Control at Tongji UniversityControl Science and Engineering, Control Science and Engineering at Harbin Institute of TechnologyDoctor of Philosophy - PhD, Electrical Engineering, Doctor of Philosophy - PhD, Electrical Engineering at University of Notre Dame
Stackoverflow
1reputation
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Github Skills (47)
computational-biology8
uncertainty8
decoder8
surrogate8
robot8
bayesian-deep-learning8
physics8
encoder-decoder8
biomechanics8
simulator8
kinematics8
encoder7
fourier-transform7
robotics7
reinforcement-learning-environments7
Programming languages (3)
Github contributions (5)
cics-nd/pde-surrogate
May 2019 - Oct 2019
Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data
Contributions:3 commits, 1 PR, 2 pushes in 4 months
physicsdeep-learninguncertainty-quantificationdimensionallabeled-data
cics-nd/cnn-surrogate
Apr 2018 - May 2018
Bayesian deep convolutional encoder-decoder networks for surrogate modeling and uncertainty quantification
Contributions:4 commits, 2 pushes, 1 branch in 23 days
convolutionaldecoderuncertainty-quantificationdensity-estimationencoder
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