CV

Graduate Research Assistant

University of Southern California (USC)

Research on EDA for 2.5D/3D IC design and machine learning for EDA under Professor Sungkyu Lim

• EDA for 2.5D/3D IC Design
• Machine Learning for EDA

Intern, Controller Development

Samsung Memory Division

Signal Processing Task Group, Algorithm Part - AI Storage Solution for Near-Data Processing

• Designed and implemented hardware-accelerated vector search engine for AI storage, achieving 20× speedup over CPU baseline
• Developed high-performance IVF+PQ algorithm pipeline on FPGA using C/C++-based HLS, optimizing memory access patterns and computational throughput
• Architected prefetching mechanisms for metadata filtering, focusing on data pipeline efficiency and latency reduction

Undergraduate Researcher

High-Speed Circuits Lab, Yonsei University

• Developed FPGA-based digital control algorithms for Silicon Micro Ring Modulators with real-time adaptive feedback
• Built Python-based simulation framework for thermal crosstalk modeling and compensation in photonic systems
• Implemented iterative optimization algorithms for multi-channel thermal interaction prediction

Undergraduate Researcher

HAI Lab, Yonsei University

• Designed custom RISC-V processor architecture with reconfigurable computing array for matrix multiplication acceleration, including custom ISA extensions and assembly-level optimization
• Implemented hardware description in Chisel, focusing on architecture topology optimization and computational efficiency for ML workloads (OpenGeMM)

Ph.D.

University of Southern California (USC)

Electrical and Computer Engineering

• 2.5D/3D IC Design
• Power Delivery Networks
• Machine Learning for EDA

Bachelor of Science

Yonsei University

Electrical and Electronic Engineering

IPESK Next Generation Engineer Award

Institute for Promotion of Engineering and Science of Korea

Selected as a next-generation engineer by IPESK

Semiconductor Track Merit-Based & Academic Excellence Fellowship

Samsung Display & LG Display

$300 per semester and $300 monthly stipend for two years

Merit-based Scholarship

Yonsei University

Multiple semesters - coverage of one-third to two-thirds of tuition fees

Dimension-Adaptive Reconfigurable Computing Array for Efficient GeMM Acceleration

In Progress

Co-authors: Kim, Y.-J, & Chung, J.

A simple and efficient thermal crosstalk cancellation technique for photonic weight banks in optic neural networks

OSK Summer Annual Meeting, Optics and Photonics Congress 2024

Oral presentation at ICC Jeju, Korea. Co-authors: Kim, Y.-J, Ji, Y.-J., & Choi, W.-Y.