Pang-Yuan Pao
pypao.cs@gmail.com
I am Pang-Yuan Pao, a master's graduate in Multimedia Engineering at National Yang Ming Chiao Tung University. I have a strong passion for Computer Vision and Intelligent Driving Systems.
As a researcher in the Human-centered Intelligent System Lab, I have focused on developing intelligent driving technologies. My academic and research background has equipped me with the skills to tackle complex challenges through analytical thinking and problem-solving. In my work on intelligent driving systems, I have learned to break down complex problems into smaller, manageable parts for clearer analysis and more effective solutions. Additionally, my experience working in collaborative, cross-functional teams has honed my communication skills, empowering me to drive project success through effective teamwork. This versatile skill set enables me to excel in dynamic, fast-paced environments.
I am seeking opportunities as a Computer Vision Engineer or Software Engineer.
My goal is to apply my expertise to design intelligent systems, advance AI-driven solutions, and contribute to transformative technological advancements.
MediaTek — Hsinchu, Taiwan
Software Engineer
May. 2025 — Now
EGO INNOVATION — Hualien, Taiwan
Software Engineer
Nov. 2024 — Apr. 2025
HCIS Lab at National Yang Ming Chiao Tung University — Hsinchu, Taiwan
Master Student, Advisor: Yi-Ting Chen
Sep. 2021 — Jan. 2025
National Yang Ming Chiao Tung University
Master of Multimedia Engineering
Sep. 2021 – Jan. 2025
National Sun Yat-Sen University
Bachelor of Computer Science and Engineering
Sep. 2017 – Jun. 2021
Potential Field as Scene Affordance for Behavior Change-Based Visual Risk Object Identification
Pang-Yuan Pao, Shu-Wei Lu, Ze-Yan Lu, Yi-Ting Chen
IEEE International Conference on Robotics and Automation
(ICRA 2025 Poster) [Webpage]
RiskBench: A Scenario-based Risk Identification Benchmark
Chi-Hsi Kung, Pang-Yuan Pao, Chieh-Chi Yang, Shu-Wei Lu, Pin-Lun Chen, Hsin-Cheng Lu, Yi-Ting Chen
IEEE International Conference on Robotics and Automation
(ICRA 2024 Poster) [Webpage]