Yuede Ji is an Assistant Professor from the Department of Computer Science and Engineering at the University of North Texas. Yuede Ji’s research interest is at the intersection of Cybersecurity, High-Performance Computing, Graph Learning, and Graph Analytics. He aims to build efficient systems to protect the emerging data and computing devices from various layers, such as vulnerability detection, malware detection, and network threat detection. Furthermore, he aims to build high-performance computing systems with emerging hardware (e.g., GPU) to improve the scalability of cybersecurity techniques. His research works have frequently appeared at prestigious cybersecurity and high-performance computing conferences, including USENIX Security, SC, HPDC, RAID, and AsiaCCS. His research has won the best paper award at NPC 2014.