The U.S. Department of Defense has awarded a $1.25 million grant to University of Arkansas Professor Justin Zhan.
Zhan will use the money to develop novel algorithms to enhance the speed and efficiency of computational software that uses large amounts of streaming data.
The university said such algorithms will enhance the performance of many applications and programs that require massive amounts of streaming data, improving operational robustness, computational speed and efficiency.
"Technological advances in this area have enabled the ability to ingest disparate data sets, program relevant conditions and rules, and derive insights and prescriptive intelligence in an unprecedented fashion," Zhan, who is a professor in the Department of Computer Science and Computer Engineering on the Fayetteville campus, said in a news release. "With these advances and with unprecedented access to high volumes of data, we can now empower data-driven architectures in near or real time."
Zhan expects his algorithms to enhance the performance of tools like hyperspectral imaging and functional magnetic resonance imaging.
Zhan's research focuses on big data, blockchain technologies, information assurance, social computing and biomedical informatics. He has published more than 240 articles in peer-reviewed journals and conferences and delivered more than 30 keynote speeches and invited talks.
As a principal investigator or co-principal investigator, Zhan has also been involved in more than 50 projects funded by the National Science Foundation, Department of Defense and the National Institutes of Health. He is a scholar with the Arkansas Research Alliance Academy as well.