Workshop

Shaping the Future of Civil Engineering: Climate Resilience, Immersive Technologies, and Deep Learning Potential

General Information

CSCE Winnipeg 2025 has planned one Workshop for Tuesday, May 27, 2025 at the Fairmont Hotel.
Lunch and two breaks are included.
The Workshop is open to those not attending the conference.
The price is $450 per participant and $250 for students.
Student participants must provide a valid student ID.

Objective

This workshop focuses on exploring the transformative role of emerging technologies and understanding the impacts of climate change on civil engineering practices. The workshop will explore into critical topics, including the integration of deep learning for predictive modeling and decision-making, the use of virtual reality for design and visualization, and innovative strategies for building climate-resilient infrastructure. Through expert presentations and interactive discussions, participants will gain insights into cutting-edge research, practical applications, and future trends that are reshaping the profession.

Who Can Attend

The workshop is designed for professionals, researchers, and students passionate about leveraging modern tools and methodologies to enhance sustainability and innovation in civil engineering.

Join us to engage with leading experts and contribute to the conversation on driving the future of the industry in a changing world.

Speakers

Dr. Young-Jin Cha, Professor, University of Manitoba: AI and autonomous UAV-based structural health assessment with digital twins
Dr. Christopher Henry, Associate Professor, University of Manitoba: The Evolution of Machine Learning: From Regression to Deep Neural Networks
Dr. Zoubir Lounis, Principal Research Officer, National Research Council Canada: Impact of Climate Change on Design and Performance of Highway Bridges
Mr. Cody Nowell, Manager, PCL Construction: Applications of Technology in Construction
Dr. Juliane Mai, Research Associate Professor, University of Waterloo: The Beauty and The Beast — The performance of physically and Machine Learning-based models evaluated in a standardized experiment over the Great Lakes
Dr. Chul Min Yeum, Associate Professor, University of Waterloo: Reality Capture for Smarter Infrastructure Inspections