His research focuses on software systems for performance-critical applications, including CAD, machine learning, and quantum computing. His tools, such as OpenTimer and Taskflow, are widely used in industry and academia.
Dr. Huang has received several awards, including the ACM SIGDA Outstanding PhD Dissertation Award, NSF CAREER Award, Humboldt Research Fellowship, ACM SIGDA Outstanding New Faculty Award, and the ICCAD 10-Year Most Influential Paper Award. Beyond research, he is passionate about software performance engineering and has won multiple programming contests, including 1st Place in ACM SIGDA CADathlon, ACM TAU Timing Analysis Contest, and IEEE HPEC Graph Challenge, as well as 2nd Place in ICCAD CAD Contest and ACM PPoPP FCPC.