Dr. Howie Huang is an Associate Professor in Department of Electrical and Computer Engineering at the George Washington University. He received a PhD in Computer Science from the University of Virginia. He has worked on a wide variety of topics in computer systems and architecture such as: designing scalable systems for big data applications, developing secure, resilient virtualization infrastructure, optimizing I/O performance in the Cloud, and accelerating the simulations of scientific models.

His recent research focuses on developing new high-performance computing systems tailored for large-scale graph analytics, with representative publications in FAST'17, SC'16, SIGMOD'16, and SC'15. His group explores novel applications of graph-based knowledge discovery in computer systems, 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 have been featured in GPU Technology Conference (2016) and NVIDIA Theater (SC'15 and SC'16).

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 the ACM Undergraduate Student Research Competition at SC'12, a Best Student Paper Award Finalist at SC'11, the Best Poster Award at PACT'11, and a High-Performance Storage Challenge Finalist at SC'09.

Dr. Huang serves as the General Co-Chair of HPDC'17 and also in a number of technical program committees for SC, IPDPS, DAC, CCGrid, BigData. He was the Associate Chair and later Interim Chair in Department of Electrical and Computer Engineering in 2015-2016.

For Students: if you are interested in doing research with me, you may contact me via email.

Postdoctoral Scientist Position

The position involves the design and implementation of algorithms and systems to address the analytical and security challenges in big data problems. The successful candidates should possess research experience and publications in leading conferences on computer systems, high-performance computing, and big data, and have earned a PhD degree in Computer Science/Engineering or related disciplines.

Please email the CV to Prof. Howie Huang (howie@gwu.edu).

Recent Research

Join the Team

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