Hanjun Kim

Hanjun Kim is a researcher at Yonsei University, focusing on compiler design, machine learning optimization, and hardware-aware programming techniques. His work bridges theoretical research with practical implementations in embedded systems and security domains.

Research Interests

• Compiler-driven optimization for PIM (Processing-in-Memory) architectures
• Homomorphic encryption compiler design
• Parallel computing for DNN/LLM inference
• Network function program analysis

Recent research trends include: application of compiler techniques to optimize resource utilization in heterogeneous computing environments, particularly for AI workloads and secure computation. His publications demonstrate expertise in tackling performance bottlenecks through architectural and compiler co-design.

Conference Service

• 2025 SPLASH OOPSLA Review Committee
• 2025 LCTES Program Committee
• 2024 CGO Program Committee
• 2023 LCTES Program Committee
• 2022 CGO Organization Committee
• 2020 LCTES Program Committee