Dr. Howie Huang is a Full Professor in Department of Electrical and Computer Engineering, with a courtesy appointment in Department of Computer Science, at the George Washington University.
Motivated by the needs of big data and cybersecurity applications, he works at the intersection of algorithms, computer architecture and systems, with recent research focus on developing high-performance computing and machine learning techniques tailored for large-scale graph datasets.
His X-Computing Lab (XCLab) explores novel applications of graph-based knowledge discovery in computer systems, cybersecurity, social networks, biology and health.
Over the years his research has been supported by around 20 grants of $6.5M from the National Science Foundation (NSF), the Defense Advanced Research Projects Agency (DARPA), and Department of Defense (DoD), as well as leading companies including Raytheon, Booz Allen Hamilton, IBM, NVIDIA and Comcast.
Prof. 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 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 research won a Champion Award and a Student Innovation Award at the 2018 Graph Challenge of IEEE High-Performance Extreme Computing (HPEC) conference, two awards (Finalist and Honorable Mention) at the DARPA Graph Challenge 2017, the Best Paper Award Nomination at NVMSA'17, the ACM Undergraduate Student Research Competition Winner at the Supercomputing conference (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.
Prof. 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 in technical program committee of various 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.