Special Session – Multi-hazard risk & resilience assessment: Novel applications to networks and systems of assets
Organizers
Dimitrios Vamvatsikos
Associate Professor, Institute of Steel Structures, School of Civil Engineering, National Technical University of Athens, Greece
divamva@mail.ntua.gr
Dr. Athanasia Kazantzi
Senior Risk Engineer, Resilience Guard GmbH, Switzerland
nancy.kazantzi@resilienceguard.ch
Dr. Konstantinos Bakalis
Marie Skłodowska-Curie fellow, Ecole Polytechnique Fédérale de Lausanne (EPFL), Switzerland
konstantinos.bakalis@epfl.ch
Dr. Vasileios Melissianos
Post-doctoral Researcher, Adjunct Assistant Professor & Member of The Lambda Lab group, National Technical University of Athens, Greece
melissia@mail.ntua.gr
Session Description
Natural disasters are major events triggered by natural processes of the earth that may cause major loss of life as well as significant direct or indirect socioeconomic consequences to cultural heritage, buildings, or infrastructure assets and networks (transportation, power, sewage, telecommunication etc.). Low probability, rare events can have catastrophic impacts, but even more frequent ones can incur heavy costs in highly urbanized environments. Improving the resilience of the built environment against multiple perils is of top priority for communities, policy-makers and regulatory authorities.
The session aims at bringing together experts in the field to share their research goals, ideas and vision on both assessing and improving the resilience of networks and systems of assets via novel applications, including, but not limited to:
- Large-scale computations
- City/Regional/National level models
- UAV and satellite imagery for rapid damage assessment
- Machine-learning
- Sensor-data fusion
- Multi-hazard assessment
Manuscript Submission : Closed
Contributions to the Special Session should only be submitted online at https://iconhic.com/2021/authors-area/#submissions. When filling the form don’t forget to select the name of the Special Session in the dropdown menu ‘Abstract Topic’.