Data Science Professor Receives $1.25 Million from Department of Defense
FAYETTEVILLE, Ark. – A $1.25 million grant from the Department of Defense will enable data science researcher Justin Zhan to develop novel algorithms to enhance the speed and efficiency of computational software that uses large amounts of streaming data.
By harnessing big data analytics faster and more efficiently, the algorithms will significantly enhance computational performance of many applications and programs that require massive amounts of streaming data. This so-called machine-learning approach to big data analytics will improve operational robustness, in addition 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,” said Zhan, who is a professor in the Department of Computer Science and Computer Engineering. “With these advances and with unprecedented access to high volumes of data, we can now empower data-driven architectures in near or real time.”
For example, tools such as hyperspectral imaging and functional magnetic resonance imaging have been hampered by an inability to handle large sets of dense data. Hyperspectral imaging collects and processes information from across the electromagnetic spectrum to find objects, identify materials and detect processes.
Likewise, to be able to measure brain activity by detecting changes associated with blood flow, functional magnetic resonance imaging demands computational ability to process massive quantities of streaming data. The inability to process large sets of data has compromised the performance of both tools, and Zhan expects his algorithms to enhance their performance dramatically.
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 been involved in more than 50 projects funded by the National Science Foundation, Department of Defense and the National Institutes of Health.
He is also a scholar with the Arkansas Research Alliance Academy.
About the University of Arkansas: The University of Arkansas provides an internationally competitive education for undergraduate and graduate students in more than 200 academic programs. The university contributes new knowledge, economic development, basic and applied research, and creative activity while also providing service to academic and professional disciplines. The Carnegie Foundation classifies the University of Arkansas among fewer than 3 percent of colleges and universities in America that have the highest level of research activity. U.S. News & World Report ranks the University of Arkansas among its top American public research universities. Founded in 1871, the University of Arkansas comprises 10 colleges and schools and maintains a low student-to-faculty ratio that promotes personal attention and close mentoring.
Justin Zhan, , professor, computer science and computer engineering
College of Engineering
Matt McGowan, science and research communications officer
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