Jingning Han
Principal Software Engineer at Google
Mountain View, California, United States
Summary
👤
Senior🎓
Top SchoolJingning Han is a principal software engineer at Google, specializing in video compression and networking, with 13 years of experience and a track record of leading VP9 and AV1 codec optimization for YouTube and other Google video products. Based in Mountain View, she serves as WebM Codec Team Tech-Lead Manager, architecting codecs and driving performance improvements through rate-distortion optimization. Her Ph.D. in Electrical Engineering from UCSB focused on video compression innovations, including asymmetric DCT for intra prediction residuals, and she has authored 50+ patents and 60+ papers. In open source, she contributed to libvpx as a back-end developer, implementing a new motion estimation algorithm and refactoring the encoding pipeline with emphasis on rate-distortion efficiency, plus unit-test setup. Earlier in her career, she helped explore VP-Next on Google’s experimental branch during a 2012 internship, underscoring a long-standing commitment to advancing video codecs.
13 years of coding experience
Bachelor of Engineering (BE), Electrical and Electronics Engineering, Bachelor of Engineering (BE), Electrical and Electronics Engineering at Tsinghua UniversityDoctor of Philosophy (Ph.D.), Electrical and Electronics Engineering, Doctor of Philosophy (Ph.D.), Electrical and Electronics Engineering at University of California, Santa Barbara
English
Github Skills (20)
video-compression10
openframeworks10
encoder9
codec9
decoder9
video-codec9
encoding8
file-format8
decoding8
jpeg20008
robust8
streaming-video7
reference-implementation7
mozilla7
c996
Programming languages (1)
Github contributions (5)
webmproject/libvpx
Jun 2012 - May 2019
Mirror only. Please do not send pull requests.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:2272 commits in 7 years
Contributions summary:Jingning is responsible for modifying the VP9 encoder code base, including implementing a new motion estimation algorithm. The contributions range from core codec function modifications to refactoring the encoding process, the application of new filtering techniques and performance improvement, with the primary focus on rate distortion optimization. The user also participated in unit test setup.
pull-requests
jmvalin/aom
Mar 2016 - Jun 2017
Contributions:367 commits in 1 year 2 months
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