Two papers accepted by IEEE TCAD. Thanks to all collaborators.
Shengyu Fan
Assistant Professor
School of Artificial Intelligence
Shandong University
Jinan & Beijing, China
Biography
I am an Assistant Professor in the School of Artificial Intelligence at Shandong University. I received my PhD from the Institute of Information Engineering, Chinese Academy of Sciences.
My research sits at the intersection of computer architecture, privacy-preserving computing, and efficient AI systems. I study how architectural and system design can turn demanding security techniques into practical computing platforms.
Prospective students
I welcome PhD, master’s, and undergraduate students who are interested in computer architecture, privacy-preserving computing, fully homomorphic encryption, or efficient AI systems. I value intellectual curiosity, solid fundamentals, and a willingness to turn ideas into working systems.
If these topics resonate with you, you are welcome to get in touch by email to discuss possible research projects. damionfan@163.com
News
Serving on the MICRO 2026 Program Committee.
Two papers accepted by ISCA 2026.
Research
I focus on efficient and secure computing systems, with particular interest in making privacy-preserving computation and AI workloads practical at scale.
Privacy-preserving computing
Architectures and GPU systems for fully homomorphic encryption and other privacy-sensitive workloads, with an emphasis on end-to-end efficiency.
Efficient AI systems
System support for learning and inference on sensitive data, with attention to computation, memory behavior, and deployment constraints.
Architecture and system co-design
Workload-driven design that connects algorithms, data movement, and runtime execution to improve performance without weakening security goals.
Selected Publications
CACO: Chiplet-based FHE Acceleration with Inter-Chiplet Communication Optimizations
OmniCifro: A Heterogeneous Acceleration System with PIM for Encrypted Computation
MNEMOS: A GPU-based TFHE Acceleration Framework with Memory Access Optimization
HyperDrive: Hierarchical Exploitation of Memory Efficiency for GPU-Based FHE Acceleration
Falcon: Algorithm-Hardware Co-Design for Efficient Fully Homomorphic Encryption Accelerator
Emaildamionfan@163.com
Based inJinan & Beijing, China