W25 GIRS Seminars: AI-Driven Strategies for Enhancing Infrastructure Resilience

Debasish Jana, Postdoctoral Scholar

Abstract: Civil infrastructure networks like roads and bridges are vital to societal resilience but face challenges from natural hazards, aging, and growing demands. This talk introduces data-driven frameworks leveraging Graph Neural Networks, Generative Adversarial Networks, and multi-modal sensing technologies (e.g., LiDAR, cameras) to optimize risk assessment, retrofitting, and resilience enhancement. These methods enable rapid evaluation of network performance under disruptions, integrate equity into decision-making, and enhance infrastructure adaptability to hazards like wildfires and landslides. The strategies presented aim to create smarter, more resilient, and sustainable infrastructure systems.

Short Bio: Debasish Jana is a postdoctoral scholar in Civil and Environmental Engineering at UCLA. He earned his Ph.D. from Rice University and was awarded the prestigious Rice Global Forum Research Scholarship. His research focuses on infrastructure resilience, leveraging AI, graph neural networks, and multi-modal data fusion for risk assessment and decision-making. Debasish has a strong track record of impactful research and interdisciplinary collaboration, with contributions to advancing sustainable and equitable infrastructure systems.

When: Thursday, February 06, 2025
Time: 1:00pm PT
Where: UCLA Engineering 6 BLDG, Rm 580B