Yinghua Hu
Machine Learning Engineer, Staff at Altera
Los Angeles, California, United States
Summary
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Senior🎓
Top SchoolYinghua Hu is a Staff Machine Learning Engineer specializing in applying ML to EDA systems and FPGA hardware workflows, currently building production-grade AI capabilities at Altera. With a Ph.D. in Electrical Engineering from USC and eight years of experience across Synopsys and Intel, she blends deep research in hardware security and circuit obfuscation with practical systems engineering for physical design optimization. Her work spans predictive PPA modeling, constraint solving, search-space pruning, and orchestration of agentic, multimodal LLM-integrated design automation pipelines that enable robust end-to-end workflow automation. Notably, she prototypes infrastructure that coordinates multi-tool execution and recovers from complex failure modes, bringing research-grade algorithms into scalable production. Based in Los Angeles, she also contributes peer review and technical service to leading venues in design automation and hardware systems.
8 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD Electrical Engineering, Doctor of Philosophy - PhD Electrical Engineering at University of Southern CaliforniaBachelor of Science - BS Microelectronics, Bachelor of Science - BS Microelectronics at Nankai UniversityHigh School, High School at The Affiliated High School of Shanxi University
Chinese, EnglishGithub contributions (5)
yinghuah/yinghuah.github.io
Sep 2021 - Oct 2022
Contributions:83 commits, 125 pushes, 1 branch in 1 year 1 month
Jeff-Hu/Fault_simulator
Jan 2018 - Jan 2018
Contributions:21 pushes, 1 branch in 1 day
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