SYMPLE Lab (System-level Memory, Processor, and Logic Engineering) explores next-generation AI system design across the full stack — from algorithms to architectures to silicon. We develop memory-centric architecture and lightweight computing techniques for efficient large-scale AI. Our research targets emerging generative AI workloads, including large language and diffusion models. By tightly co-optimizing models and hardware, we push the limits of energy efficiency and scalability. Our goal is to bring powerful AI from the cloud closer to everyday devices.
Research Field
• Silicon-level design of next-generation AI accelerators for efficient on-device intelligence
• Scalable and memory-centric architectures bridging models and hardware platforms
• Cross-layer optimization of algorithms and hardware to maximize efficiency and performance
• Low-power acceleration techniques for Large Language Models (LLM) and Generative AI
• High-efficiency computing systems based on Computing-In-Memory (CIM/PIM)
Education
• 2024 Ph.D. in Electrical Engineering, KAIST
• 2021 M.S. in Electrical Engineering, KAIST
• 2019 B.S. in Electrical Engineering, KAIST
Professional Career
• 2026-Present Assistant Professor, EECS, GIST
• 2024-2026 Post-doctoral Researcher, AI-PIM Semiconductor Design Research Center, KAIST
Research Highlight
• Published 16 first-authored papers in top-tier venues including ISSCC (3), VLSI (2), and HPCA (1)
• Authored 27 international journal papers, including 6 first-authored papers in JSSC (JCR Top 10%)
• Delivered invited talks at global tech leaders including Apple, Google, Samsung, and Neuralink
• Featured in national media (KBS, SBS, etc.) for 'DynaPlasia' technology with the Ministry of ICT & Science
Awards
• 2023 KAIST Institutes Outstanding Researcher Award
• 2023 Best Paper Award, IEEE ISCAS
• 2023 Silver Prize, 29th Samsung Humantech Paper Award
• 2022 Best Poster Award, Chip Design Contest, The 29th Korean Conference on Semiconductors
• 2022 Outstanding Student Paper, IEEE CICC
• 2021 Best Paper Award, IEEE Circuits and Systems Society
• 2020 Best Design Award, A-SSCC Student Design Contest