Integrating Digital Twin and Machine Learning for Hazard-Agnostic Post-Disaster Recovery Management
Funding:ÌýThe Ministry of National Education, Republic of Türkiye
Supervisors:Ìý and
Email:Ìýumut.lagap.21@ucl.ac.uk
Research summary
I am a researcher specialising in post-disaster risk management, leveraging advanced technologies such as Digital Twins (DT), Machine Learning (ML), and Deep Learning (DL) to enhance disaster resilience. My research focuses on creating real-time virtual representations of physical systems, enabling dynamic, data-driven insights for effective disaster preparedness, response, and recovery. By developing frameworks for DT-based post-disaster recovery monitoring and integrating explainable AI (XAI) methods, I aim to provide transparent and accountable decision-making tools for disaster management.
Key areas of my research include the use of multi-temporal satellite imagery and deep learning models to monitor recovery progress, assess damage, and optimize resource allocation. My work addresses the critical need for accurate, efficient, and real-time data collection and analysis in hazardous post-disaster environments. My studies aim to improve the accuracy and efficiency of post-disaster recovery monitoring, ultimately contributing to the development of resilient communities capable of effectively mitigating and managing disaster impacts.
Publications
- Lagap, U., & Ghaffarian, S. (2024). . International Journal of Disaster Risk Reduction, 110, 104629. doi:
- Lagap, U., & Ghaffarian, S. (2024). . EGU24(EGU24-4202).
- Ghaffarian, S., Alidoost, F., Lagap, U., Chandramouli, P., Dzigan, Y., Grootes, M., . . . Kelman, I. (2024). Digital Twins for Early Warning Systems: Intricacies and Solutions. EGU24(EGU24-15738).
Qualifications
- MSc Project Management and Construction, Izmir Institute of Technology, Türkiye (2018-2021)
- Architecture Undergraduate Program, High Honor Student, Izmir University of Economics, Türkiye (2011-2016)
Teaching experience, PGTA at MyAV·¶
- IRDR0047: Geospatial Data ScienceÌý
- IRDR0021: Social and Geospatial Data Analysis
- IRDR0004: Data Analysis and Interpretation
- IRDR0024: Technology for Humanitarian Action
- IRDR0000: Introductory Math
- CEGE0016: Financial Aspects of Project Engineering