Jianhui Yue

Jianhui Yue is an Assistant Professor in the Department of Computer Science at Michigan Technological University. His research focuses on computer architecture, operating systems, and system optimization for big data processing. He specializes in memory systems, persistent memory technologies, and hardware acceleration for graph processing and machine learning workloads. His work addresses challenges in optimizing performance, energy efficiency, and reliability in modern computing systems.

Key research areas include hybrid memory architectures, in-storage accelerators (e.g., FlashGNN), and crash consistency mechanisms for non-volatile memory. His publications emphasize innovations in cache optimization, NAND flash management, and graph algorithms for dynamic data mining. His recent work (e.g., Cheetah, P3DC) highlights advancements in reducing latency and improving scalability in high-performance computing environments.

Dr. Yue’s contributions span hardware-software co-design, with a focus on practical applications of computer architecture principles to real-world systems. His research bridges theoretical concepts with deployable solutions, addressing critical bottlenecks in data-centric computing.