CV

Research Intern

CSArch Lab, Korea University

Advisor: Prof. Gunjae Koo.

• Research intern working on computer architecture, memory systems, and energy-efficient system design.

Research Intern

PSAL, POSTECH

Advisor: Prof. Gwangsun Kim.

• Implemented support for a new ATen operator in PyTorchSim by defining custom lowerings and MLIR-based execution paths.
• Designed and documented an end-to-end contributor tutorial as a GitHub Wiki for extending MLIR-backed ATen operator support.

Undergraduate Researcher

AIAC Lab, Hallym University

Advisor: Prof. Jeong-Gun Lee.

• Conducted research on Edge AI inference performance modeling, predicting delay, power, energy, and EDP using regression-based approaches.
• Built an experimental measurement pipeline on Jetson Orin Nano for collecting fine-grained runtime and power data.

B.S.

Hallym University

Big Data

• Cumulative GPA: 4.06 / 4.5
• Junior/Senior GPA: 4.24 / 4.5
• Full Tuition Scholarship, awarded upon admission (4 semesters)
• Full Tuition Scholarship, top-ranked undergraduate student (1st place), Spring 2025

Grand Prize (Minister of Science and ICT Award)

2025 National ICT Smart Device Competition, hosted by the Ministry of Science and ICT

2nd Prize

SW Capstone Design Competition, Hallym University, sponsored by the Ministry of Science and ICT

3rd Prize & Popularity Award

2024 SW-Central University Digital Competition, hosted by the Ministry of Science and ICT

Predicting Delay, Power, and Energy of Edge AI Inference with Ridge Regression

IEEE International Conference on Consumer Electronics (ICCE 2026)

First-author paper proposing a ridge-regression framework for predicting delay, power, and energy of edge AI inference.

Performance and Energy Consumption Analysis of Deep Learning Models on Edge GPU Systems

Proceedings of the Annual Conference of KIPS (ASK 2025), Vol.32 No.1

Analysis of performance and energy consumption characteristics of deep learning models on edge GPU systems.