Yuede Ji

Dr. Yuede (YJ) Ji is an Assistant Professor in the Department of Computer Science and Engineering at the University of Texas at Arlington (UTA), leading the Graph Lab. His research focuses on graph-centric security, learning, and computing, intersecting High-Performance Computing (HPC), Security, Graph AI, and Graph Analytics. Prior to UTA, he was an Assistant Professor at the University of North Texas (2021–2024). He earned his Ph.D. from George Washington University in 2021 under Dr. Howie Huang. His work has been recognized with awards such as the Best Paper Award at NPC 2014 and the Best Poster Award at SMCDC 2023.

Education:

• Ph.D., Computer Engineering, George Washington University (2021)
• M.S., Computer Science & Technology, Jilin University (2015)
• B.E., Software Engineering, Jilin University (2012)

Research Interests: Graph-centric security, HPC, Graph AI, malware detection, and privacy-preserving systems. His research is funded by NSF, DOE, and Google.

Grants & Fundings:

• NSF SHF: Small: An Accelerated Computation Architecture (2024–2027)
• NSF CICI: Secure Containers in HPC Infrastructure (2023–2026)

Students & Advising: Advising Ph.D., M.S., and undergraduate students. Current advisees include Chaoqun Li, Emmanuel Emakhue Oseghale, and Xiao Hu.

Awards:

• Best Editor Award, IEEE OJCOMS (2024)
• CSE Junior Faculty Research Award Nominee (2024)

Labs & Teams: The Graph Lab develops scalable solutions for HPC security and graph analytics. Recent projects include BINGO (EuroSys ‘25) and TANGO (SC ‘23).