Domain-Specific Architectures
Specialized hardware and accelerator designs for evolving AI models and workloads.
POSTECH Computer Science · CAOS Lab
Hyungchan Joo
Computer Architecture · HW/SW Co-Design · AI Systems
Undergraduate research intern at the Computer Architecture & Operating Systems Laboratory. Interested in building efficient computing systems for next-generation AI workloads, with a focus on domain-specific architectures, memory systems, and near-storage processing.
Research Interests
Computing systems for next-generation AI workloads
My interests lie at the intersection of computer architecture, memory systems, and AI systems. I aim to explore architectural techniques that reduce data movement and improve efficiency for large-scale inference workloads.
Memory Systems
Architectural techniques for mitigating memory bandwidth and data-movement bottlenecks.
Near-Storage Processing
Processing models that move computation closer to storage to improve system efficiency.
Education
Education
POSTECH
B.Sc. in Computer Science
Feb 2024 – Present
GPA: 4.02/4.30 · Major GPA: 4.03/4.30
Busan Il Science High School
High School Diploma
Mar 2021 – Feb 2024
Experience
Research Experience
CAOS Lab, POSTECH
Undergraduate Research Intern
Mar 2026 – Present
Studying computer architecture, HW/SW co-design, memory systems, and near-storage processing for large-scale AI systems.
MIP Lab, POSTECH
Undergraduate Researcher, Freshman Research Program
Sep 2025 – Dec 2025
Analyzed graph connectivity using GNNs and executed deep learning workloads on a university HPC cluster using Slurm.
Selected Projects
Systems, AI, and interactive computing projects
Computer Architecture
Spring 2026
5-Stage Pipelined RISC-V CPU with Cache
Designed and implemented a five-stage RV32I pipelined CPU in Verilog RTL, including forwarding, hazard detection, control-flow handling with an Always-Not-Taken baseline, pipeline flushing, and a blocking N-way set-associative cache.
Operating Systems
Fall 2025
Pintos Educational Operating System
Implemented scheduling, system calls, virtual memory, demand paging, supplemental page tables, and buffer cache components in an educational operating system.
Artificial Intelligence
Spring 2026
Search-Based Multi-Agent Pac-Man AI
Implemented Minimax, Expectimax, Expectiminimax, and Alpha-Beta search agents, and designed a high-performing evaluation function for autonomous gameplay.
Interactive Systems
Spring 2026
Nitrogen Archive
Built a browser-based document investigation game translating policy formation concepts into an interactive evidence-review experience with branching reports, archival documents, and multiple endings.
Awards
Scholarships & Honors
National Science and Engineering Scholarship
Korea Student Aid Foundation · May 2026 – Present
Full tuition support for remaining regular semesters based on academic excellence in STEM.
The 13th Unhae Scholarship
Unhae Scholarship Foundation · Feb 2026 – Present
Awarded for academic excellence and high potential in STEM.
Skills
Technical Toolkit
Languages
C/C++, Python, Java, MATLAB, R, Verilog RTL
Systems & Tools
Git, Linux, Slurm, VS Code, Overleaf
AI/ML
PyTorch, TensorFlow, OpenCV