Dr. Howie Huang is an Associate Professor of Computer Engineering and the Director of the X-Computing Lab (XCLab) at the George Washington University.
Motivated by the needs of big data and cybersecurity applications, he works at the intersection of algorithms, computer systems and hardware design, with recent research focus on developing high-performance computing and machine learning techniques tailored for large-scale graph datasets.
His lab explores novel applications of graph-based knowledge discovery in computer systems, cybersecurity, social networks, biology and health.
His work on big graph traversal has ranked highly on both the Graph500 and Green Graph500 benchmarks, which measure the performance and energy efficiency of the most powerful data-intensive supercomputers in the world.
His projects were presented in USENIX ATC'17, FAST'17, SC'16, SIGMOD'16, and SC'15, and also featured in GPU Technology Conference and NVIDIA Theater.
Dr. Huang is a recipient of the prestigious National Science Foundation CAREER Award, NVIDIA Academic Partnership Award,
Comcast Technology Research and Development Fund Award, IBM Real Time Innovation Faculty Award,
and Outstanding Young Researcher Award of School of Engineering and Applied Science.
His research won two awards (Finalist and Honorable Mention) at the inaugural DARPA Graph Challenge at HPEC'17, the Best Paper Award Nomination at NVMSA'17, the ACM Undergraduate Student Research Competition Winner at SC'12,
a Best Student Paper Finalist at SC'11,
the Best Poster Award at PACT'11,
and a High-Performance Storage Challenge Finalist at SC'09.
Dr. Huang is an Associate Editor for IEEE Transactions on Cloud Computing. He has also served as the General Co-Chair of ACM Symposium on High-Performance Parallel and Distributed Computing (HPDC'17), and as technical program committee member for many conferences including ATC, SC, ICS, IPDPS, DAC, CLOUD, BigData, e-Science, etc. He was the Associate Chair and Interim Chair in Department of Electrical and Computer Engineering in 2015-2016. He received a PhD in Computer Science from the University of Virginia.
For Students: We are always recruiting PhD students and postdoctoral researchers. If you are interested, please feel free to email.