معرفی
Chul Min Yeum is an Associate Professor in the Department of Civil and Environmental Engineering at the University of Waterloo. He leads the CViSS Lab, focusing on smart infrastructure through interdisciplinary research in computer vision, sensing technologies, and artificial intelligence. His work emphasizes developing technologies for structural health monitoring, nondestructive testing, and automated inspection systems.
- Education: PhD from Purdue University (2016), MS/BS from KAIST (2010/2008)
Research interests include smart structures, mixed/augmented reality, robotics, machine learning, and big data analytics applied to civil infrastructure. His recent work explores real-time defect quantification using RGB-D datasets, gaze-based human-robot interaction systems, and machine learning for seismic vulnerability assessments.
He teaches courses like AE 121, CIVE 497, and CIVE 700, focusing on computational methods and advanced structural engineering topics. Current research funding supports collaborations with government and industry partners to advance smart infrastructure solutions.
Chul Min Yeum holds Sole-Supervisory Privilege Status (SSPS) and is actively mentoring graduate students in areas like computer vision for structural assessment, automated inspection systems, and resilient infrastructure design.
