Khurram Shabbir
Doctoral Researcher
Doctoral Researcher
T214 Civil Engineering
Full researcher profile
https://research.aalto.fi/...
Sähköposti
khurram.shabbir@aalto.fi
Puhelinnumero
+358504318873
Tutkimusryhmät
- Structures – Structural Engineering, Mechanics and Computation, Doctoral Researcher
Julkaisut
A Novel Explainable AI-Based Design Optimization Framework to Estimate Sustainability and Economic Impacts of Reinforced Concrete Structures
Nadeem Iqbal, Khurram Shabbir, Mohamed Noureldin
2025
Machine Learning with Applications
Data-driven model for seismic assessment, design, and retrofit of structures using explainable artificial intelligence
Khurram Shabbir, Mohamed Noureldin, Sung Han Sim
2025
Computer-Aided Civil and Infrastructure Engineering
Robust localization of shear connectors in accelerated bridge construction with neural radiance field
Gyumin Lee, Ali Turab Asad, Khurram Shabbir, Sung Han Sim, Junhwa Lee
2024
Automation in Construction
Estimation of Prediction Intervals for Performance Assessment of Building Using Machine Learning
Khurram Shabbir, Muhammad Umair, Sung Han Sim, Usman Ali, Mohamed Noureldin
2024
Sensors
A Deep Vision and UAV Paradigm for Future Intelligent Mobility
Muhammad Umair, Khurram Shabbir, Sung Han Sim, Usman Ali
2024
International Conference on Electrical, Computer, and Energy Technologies, ICECET 2024