Guangyao Shen
EMC Engineer at Apple
Cupertino, California, United States
Summary
👤
Senior🎓
Top SchoolGuangyao Shen is an EMC engineer with 11 years of hands-on experience applying electromagnetics, transmission-line theory and analog circuit knowledge to consumer electronics at Apple, including EMC/ESD design for Vision Pro and RF desense work for Macs. He pairs rigorous simulation expertise in Matlab, ADS and CST with lab validation skills—S-parameter extraction, sensitivity testing in conducted and radiated environments, and PCB schematic/layout review—to close the loop between models and measurements. Fluent in global automotive EMC standards and test methods, he consistently prepares and executes test plans and reports that drive design decisions. With a PhD focused on EMI/EMC and SI/PI, he brings deep academic grounding plus practical RF component insight (amplifiers, mixers, filters) and a knack for automating measurement and simulation flows. Notably, he blends device-level intuition with system-level compliance strategy, making him effective at preventing desense and emissions issues early in product development.
11 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Electrical and Electronics Engineering, GPA: 3.75/4, Doctor of Philosophy (Ph.D.), Electrical and Electronics Engineering, GPA: 3.75/4 at University of Missouri-RollaMaster's degree & Bachelor's degree, Electrical and Electronics Engineering, Master's degree & Bachelor's degree, Electrical and Electronics Engineering at Huazhong University of Science and Technology
Chinese, English
Stackoverflow
13reputation
2kreached
1answer
3questions
Github Skills (47)
generative-adversarial-network9
affine-transformation8
image-manipulation8
crx8
extraction8
tinker8
chrome-extension8
pytorch7
firefox-addon7
readability7
image-translation7
computer-graphics7
reader7
language-model7
computer-vision6
Programming languages (4)
Github contributions (5)
sunlightsgy/MDDL
Jan 2021 - Oct 2021
Dataset for "Depression Detection via Harvesting Social Media: A Multimodal Dictionary Learning Solution" in IJCAI 17
Contributions:3 commits, 3 pushes, 1 branch in 8 months
multimodal
sunlightsgy/AffineGAN
Aug 2019 - Oct 2019
PyTorch Implementation of "Facial Image-to-Video Translation by a Hidden Affine Transformation" in MM'19.
Contributions:8 commits, 6 pushes in 2 months
affine-transformationpytorchgansimage-to-image-translationimage-to-video
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