Toygoon

Toygoon

Computer Science Researcher

PhD Student @ Yeungnam University
Advanced Computer System Laboratory

About

PhD student at Advanced Computer System Laboratory, Yeungnam University, specializing in low-level systems and computer architecture.

Research focuses on computer architecture and operating systems, with particular emphasis on system programming and kernel-level development. Published work on SSD optimization through hybrid buffer management policies, while actively exploring GPU architecture.

Currently engaged in research projects spanning autonomous driving, digital twin technologies, and smart manufacturing optimization.

Research Interests

Operating Systems
Computer Architecture
Storage Systems
GPU Architecture
Embedded Systems
Low-Level Programming

Publications & Patents

SCI Journal
CLOCK-DPP: Hybrid disk buffer replacement policy for SSDs with dirty page preservation for write intensive environments
First Author | International Journal
Patent
USER-BASED AUTONOMOUS DRIVING DIGITAL TWIN SYSTEM AND METHOD OF OPERATING THE DIGITAL TWIN SYSTEM
Storage Management Technology

Education

Ph.D. Student
Computer Science Engineering
Yeungnam University | Advanced Computer System Laboratory | Current
M.S.
Computer Science Engineering
Yeungnam University | Advanced Computer System Laboratory
B.S.
Computer Science Engineering
Yeungnam University