LSU Computer Science Professor Receives NSF Grant for Graph Data Research 

LSU Computer Science and Engineering Associate Professor Kisung Lee was recently awarded a National Science Foundation (NSF) grant, which totals $569,000, to continue his research on efficiently analyzing large-scale graph data in AI. 

“Graphs are data structures used to represent interconnected information, such as social networks, molecular interactions, and recommendation systems,” Lee said. “They are essential components in a diverse array of applications across various industries, including healthcare, cybersecurity, and financial services. However, as graph data continues to grow in size and complexity, it becomes increasingly difficult to analyze using existing AI models.” 

Lee’s project aims to develop new techniques that make working with these massive datasets easier and more efficient, particularly when they are stored in modern data lakes, which are large, scalable storage systems used by organizations to handle vast amounts of data. The project will also support education by providing students with opportunities to engage in cutting-edge research and contribute to the field. 

“We are proud of Dr. Lee for securing this NSF grant in a highly competitive environment,” LSU Computer Science and Engineering Chair Ibrahim Baggili said. “His work addresses a critical AI challenge by enabling the analysis of large-scale graph data that supports fields like cybersecurity, finance, and healthcare. As AI continues to transform society, this research drives innovation and gives our students the opportunity to lead. It reflects our commitment at LSU to building teams that win and teams that lead.” 

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