- Improving the logistics and collaborative sensemaking during a disaster relief effort using a flexible floating and modular seaport: Investigating humanitarian logistics using a mathematical optimization model and a complex interaction research
- Compound risk: when sudden-onset disasters coincide with COVID-19: Balancing the livelihood and the COVID-19 trajectory of rural communities in developing countries
- A Machine learning approach for rapid disaster response based on multi- modal data: The case of housing & shelter needs
- Humanitarian access, interrupted: dynamic near real-time network analytics and mapping for reaching communities in disaster-affected countries
- Towards coordinated self-organization: An actor-centered framework for the design of disaster management information systems
- Identifying mechanisms for achieving voluntary data sharing in cross-sector partnerships for public good
- Rapid Building Damage Detection Through SAR Timeseries Analysis in the Google Earth Engine: Using Sentinel-1 GRD imagery in the Google Earth Engine to detect Building Damage in Rapid Disaster Response Situations
- Resilient airports: Using a new resilience measuring approach to evaluate policies that improve the resilience of airports in the immediate post-disaster response
- Increasing situational awareness in the golden period of the response phase of sudden-onset disasters by mapping community reachability
- A Greedy Scheduling of Post-Disaster Response and Restoration using Pressure-Driven Models and Graph Segment Analysis
- An exploratory study on the (re)configuration of humanitarian supply chains throughout the disaster life cycle