Summary
Thuong Canh is a Staff Researcher specializing in next-generation video compression, computational imaging, and neural-network-assisted coding, with over a decade of experience across industry and academia. He drives JVET/MPEG standardization work and has led core codec tool development—transforms, quantization, entropy coding and intra prediction—at Dolby after earlier contributions to VVC and volumetric mesh coding at Tencent. Holder of a PhD in computer engineering and inventor on 61+ patents, he blends signal-processing rigor with deep learning methods to push beyond H.266/VVC toward learned transforms and in-loop filtering. His research lineage spans deep compressive sensing and privacy-preserving computational imaging, an uncommon bridge that informs practical camera and codec designs. Based in San Jose, he pairs prolific publishing (40+ papers) with hands-on implementation that helped Tencent266 top codec comparisons, reflecting both theoretical depth and production-grade impact.
10 years of coding experience
6 years of employment as a software developer
Bachelor's degree Electronics and Telecommunications, Bachelor's degree Electronics and Telecommunications at Hanoi University of Science and Technology
Doctor of Philosophy (PhD) Computer Engineering, Doctor of Philosophy (PhD) Computer Engineering at Sungkyunkwan University
English, Vietnamese, Korean