The Department of Civil Engineering at Bearys Institute of Technology, Mangalore organised a technical talk on the role of machine learning in natural disaster prediction and management. The event was held on 18 November 2025 in association with the IEEE GRSS Student Chapter, the Institution’s Innovation Council and the BIT IEEE Student Branch.
Dr T. Palanisamy, Associate Professor from the Department of Civil Engineering at NITK Surathkal, delivered the session. He introduced the audience to the growing role of data-driven methods in forecasting and mitigating the impact of natural disasters. He explained how modern machine learning models improve the accuracy of early-warning systems for floods, landslides, cyclones and other hazards.
During the talk, Dr Palanisamy highlighted how civil engineering and computational tools work together to build resilient communities. He shared practical examples of how predictive modelling supports planning, risk assessment and emergency response. Students gained insight into how engineers can use these tools to reduce loss of life and property.
The session saw active participation from civil engineering students and members of the IEEE community. Attendees engaged in a short discussion on current research trends and the skills needed to work in this emerging area.
The Department expressed appreciation to Dr Palanisamy for sharing his expertise and to the organising teams for arranging an informative and timely event. The talk encouraged students to explore interdisciplinary research and understand the value of technology in solving real-world problems.