Hao Zhuang, Ph.D., UCSD Computer Science

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Currently, I solve problems ranging from software to hardware/silicon chip designs, and lead a team at Google, mainly working on media accelerators, customized compute, AI perception, and high-performance computing. My team at Google also maintains software package QKeras with AutoQKeras for ML software/hardware co-design, which is also supported by other open-sourced software toolchains to convert quantized ML models to hardware implementations such as FPGA and ASIC.

Previously, I applied math and computer science to model and analyze dynamic systems inside large-scale integrate circuits (VLSI chips). I also did a little bit of place-and-route in VLSI physical design. My research works and software packages have been transferred and used in the EDA industry.


Algorithms, computer architecture, software/hardware co-design, compilers, EDA, design methodologies and automation for computing systems and accelerators. And their applications of

  • Computer vision, video compression, video understanding, and image processing.

  • Matrix and numerical computing, differential equations, sparse matrices, graphs, random walk mehtods.

  • Simulation and optimzation of dynamical systems, parallel computing, trading, and high-performance computing (HPC).



  • IEEE student memeber 2011-2016

  • ACM student memeber 2014-2016.

  • SIAM student memeber 2014-2016.


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