Howie Huang

Howie Huang PhD, is a Full Professor in the Department of Electrical and Computer Engineering, with a courtesy appointment in the Department of Computer Science, and Director of the Graph Computing Lab 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. Dr. Huang is a recipient of the National Science Foundation CAREER Award, NVIDIA Academic Partnership Award, Comcast Technology Research and Development Fund Award, and IBM Real Time Innovation Faculty Award. 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 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 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 Parallel and Distributed Systems and IEEE Transac tions on Cloud Computing. 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.