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 focus on developing high-performance computing and machine learning techniques tailored for large-scale graph datasets. His Graph Computing Lab (GLab) 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, IBM, NVIDIA and Comcast. He received a PhD in Computer Science from the University of Virginia.

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. A number of his PhD students have (or will) become tenure-track assistant professors at major research universities, e.g., College of William and Mary and University of Massachusetts Lowell.

Prof. Huang is an Associate Editor for IEEE Transactions on Parallel and Distributed Systems (TPDS) and IEEE Transactions on Cloud Computing (TCC). 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.

Join Graph Computing Lab

Research opportunities available for postdoctoral researchers, and doctoral, master, and undergraduate students.

Recent News

  • Apr 2019 - Our research on graph AI and cybersecurity is featured in GW Today's article "From the Lab to the Marketplace".

  • Apr 2019 - Our paper, SIMD-X, on Programming and Processing of Graph Algorithms on GPUs has been accepted by USENIX ATC'19.

  • Apr 2019 - Pradeep will join Department of Computer Science at William and Mary as a tenure-track assistant professor! Congrats Pradeep!

  • Dec 2018 - Our work, GraphOne, on data store for dynamic graphs has been accepted by FAST'19

  • Nov 2018 - Our subgraph matching work, CECI, has been accepted by SIGMOD'19

  • Nov 2018 - Two graph papers, iSpan and TriCore, are presented at SC'18

  • Aug 2018 - We won a Champion Award and a Student Innovation Award at the 2018 Graph Challenge

  • Mar 2018 - Organized the 2018 NSF Aspiring CSR PIs Workshop

  • Aug 2017 - We won two awards (a Finalist and a Honorable Mention) at the DARPA Graph Challenge 2017

  • Apr 2017 - Our work, Falcon, has been accepted by USENIX ATC'17

  • Feb 2017 - Our work, Graphene, was presented at FAST'17

Recent Research