Curriculum Vitae

Doctoral student.

Advisor: Prof. Inhi Kim

Dissertation: Framework for Pedestrian Safety Index Analyze Using Surrogate Safety Measurement from CCTV Dataset.

Advisor: Prof. Hwasoo Yeo

Overall GPA: 89.6 / 100.

• Developed intelligent road and traffic situation detection technology using mobile infrastructure image sensors (crack severity detection).
• Worked on integrated software framework for NPU-based computation of time-series big-data deep learning applications.
• Contributed to C-ITS large-scale data processing algorithms (majority coder: 29/35 modules).

• Teaching assistant for the graduate-level Scientific Writing course.

• Worked on pedestrian trajectory prediction and surrogate safety measures at non-signalized intersections.
• Built deep learning models for traffic speed prediction under sparse data conditions.
• Published and presented related work at TRB, T-ITS, and TRIP venues.