Khurram Shabbir

Khurram Shabbir is a Researcher and Doctoral Student at Aalto University's School of Engineering, affiliated with the Department of Civil Engineering and the Structures – Structural Engineering, Mechanics and Computation group. His research focuses on integrating artificial intelligence and advanced computational methods into structural engineering, particularly in seismic assessment, disaster management, and infrastructure safety. He has contributed to projects involving data-driven modeling for building retrofitting and UAV-based intelligent mobility solutions.

Key research interests include:

• Seismic performance evaluation using machine learning
• AI applications in structural design and safety
• Disaster management through early warning systems
• Accelerated bridge construction techniques

His recent publications emphasize interdisciplinary approaches combining civil engineering principles with computer science and statistics. Notably, he has explored neural radiance fields for structural analysis and bootstrap methods for prediction intervals in building performance.