Research
Exploring the intersection of database systems, GPU acceleration, and AI
Current Research
GPU-Accelerated Graph DBMS
POSTECH DBLab · July 2025 - Present
Investigating GPU acceleration techniques for graph database management systems. Focusing on parallel query processing, memory optimization, and performance benchmarking for complex graph operations. Working with CUDA to implement efficient graph traversal algorithms that leverage GPU parallelism.
Research Interests
Database Systems & GPU Acceleration
Graph DBMS design, GPU/CUDA programming, parallel query processing, system optimization, and performance benchmarking for database operations.
AI & Machine Learning
Deep learning model implementation using PyTorch, model optimization techniques, AI system integration, and practical deployment of ML systems.
Backend Systems Engineering
Scalable backend architecture design using TypeScript, Go, and Python. Focus on performance-critical systems and real-time data processing.
System Security
Active participation in CTF competitions and security research through POSTECH PLUS. Interest in building secure-by-design systems.
Publications & Presentations
Publications in progress. Check back soon for updates.