Yujuan Zhao
Staff Engineer at Intel Corporation
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolYujuan Zhao is a Staff Engineer in the San Francisco Bay Area with 15 years of experience specializing in RF coil and antenna-array design for medical, wearable, and cellular devices, and deep expertise in electromagnetic safety (SAR/temperature) and EMI mitigation. She combines hands-on hardware work—over five years operating Siemens 7T human MRI systems and eight years building imaging-device systems—with software skills, having developed a 3D FDTD parallel simulation package in C/C++ and contributed optimized OpenCL image-processing kernels to the libxcam project. At Intel she influenced international RF and AI wireless standards, supported Tier‑1 customers, and helped bring RF modem designs from concept to mass production. Her practical innovations include novel RF shielding patterns that cut eddy currents an order of magnitude and transmit-coil optimizations incorporating auto‑tuning for wireless charging. Quick to learn and team‑oriented, she bridges rigorous academic research (PhD work on implantable antennas and hyperthermia systems) with product-focused engineering at scale.
15 years of coding experience
Doctor of Philosophy (PhD), Doctor of Philosophy (PhD) at University of Pittsburgh
Github Skills (8)
opencl10
gpu-programming10
computer-vision10
image-processing10
sys9
embedded9
c-language8
cprogramming-language8
Programming languages (3)
Github contributions (5)
intel/libxcam
Apr 2015 - Sep 2015
libXCam is a project for extended camera(not limited in camera) features and focus on image quality improvement and video analysis. There are lots features supported in image pre-processing, image post-processing and smart analysis. This library makes GPU/CPU/ISP working together to improve image quality. OpenCL is used to improve performance in different platforms.
Role in this project:
Back-end & Embedded Systems Engineer
Back-end & Embedded Systems EngineerContributions:10 commits, 10 PRs, 1 branch in 5 months
Contributions summary:Yujuan primarily focused on implementing and optimizing image processing features, specifically bilateral filtering for noise reduction, within the libxcam library. Their contributions involved developing and refining OpenCL kernels for image processing, including performance enhancements using shared local memory and SIMD optimizations. The user also addressed build issues and integrated the denoising feature into the broader image processing pipeline.
cameravideoimage-qualityopenclcpu
zjamy/temp
Dec 2022 - Jul 2023
Contributions:36 pushes, 1 branch in 7 months
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