Qijing Huang

Qijing Jenny Huang, Ph.D.

EECS, University of California, Berkeley


[CV] [Google Scholar]
I am a research scientist at NVIDIA Research, working with the computer architecture research group. I have a broad research interest in hardware accelerator, HLS-based design flow, and ML/optimization-assisted compiler and CAD flow. Previously, I earned my PhD in Computer Science at UC Berkeley, where I was advised by Prof. John Wawrzynek and collaborate closely with Prof. Sophia Shao. During my PhD, I have worked on building efficient FPGA accelerators for emerging ML applications, HLS-based hardware/software flow, and ML-assisted HLS and CAD flow. My thesis focuses on novel design and scheduling techniques for accelerating machine learning algorithms on heterogeneous architecture. Prior to UC Berkeley, I received my B.A.Sc. from the University of Toronto, where I worked with the LegUp research group.

University of California, Berkeley
Ph.D. of Computer Science
Aug 2015 - Aug 2021
University of Toronto
Bachelor of Applied Science + PEY, Electrical & Computer Engineering
Sept 2010 - May 2015
Professional Experience
Research Scientist
July 2021 - Present
Student Researcher
May 2020 - July 2021
Hardware Engineer Intern
May 2020 - Aug 2020
Research Intern
May 2019 - Aug 2019
Graduate Lab Technician
Intel Labs
June 2016 - Aug 2016
Software Engineer
Altera (Intel FPGA)
May 2013 - Aug 2014
Research Assistant
University of Toronto
May 2012 - Aug 2012