Decision Aid Models for Disaster Logistics: Forest fires and Humanitarian Logistics
Scientic Supervisor / Contact Person
Name and Surname
Begoña Vitoriano
ORCID (link)
Researcher ID (link)
Other ID (link)
Localization & Research Area
Faculty / Institute
Faculty of Mathematical Science
Department
Statistics and Operational Research
Research Area
Information Science and Engineering (ENG), Environmental Sciences and Geology (ENV), Mathematics (MAT)
MSCA & ERC experience
Research group / research team hosted any MSCA fellow?
No
Research group / research team have any ERC beneficiaries?
No
Research Team & Research Topic
Research Team / Research Group Name (if any)
Decision Aid Models for Logistics and Disaster Management (Humanitarian Logistics)
Website of the Research team / Research Group / Department
Brief description of the Research Team / Research Group / Department
The UCM-HUMLOG "Decision Aid Models for Logistics and Disaster Management (Humanitarian Logistics)" resarch group is mainly devoted to the development of decision support systems to face several problems in logistics and disaster management, as the assessment of disaster consequences (and therefore the resulting needs of the affected population), the humanitarian aid prepositioning and distribution, and prevention and response to forest fires.
Its members are mainly of the department of Statistics and Operational Research, but there also people of other departments being all of them part of the Interdisciplinary Mathematics Institute (IMI) into the programme Decision Aid Models and Data Scince for Logistics, Disaster Management and Social Analysis (DecData-Humlog).
Currently, UCM-HUMLOG is mainly focused on the Horizon Europe project HURRICANE (https://hurricane-project.webflow.io/) devoted to real-time intelligence from ground and aerial robots to support crisis and natural emergency management (UCM-HUMLOG focusing on forest fires), and into warehaouses management for humanitarian aid facing natural disasters in developing countries.
Its members are mainly of the department of Statistics and Operational Research, but there also people of other departments being all of them part of the Interdisciplinary Mathematics Institute (IMI) into the programme Decision Aid Models and Data Scince for Logistics, Disaster Management and Social Analysis (DecData-Humlog).
Currently, UCM-HUMLOG is mainly focused on the Horizon Europe project HURRICANE (https://hurricane-project.webflow.io/) devoted to real-time intelligence from ground and aerial robots to support crisis and natural emergency management (UCM-HUMLOG focusing on forest fires), and into warehaouses management for humanitarian aid facing natural disasters in developing countries.
Research lines / projects proposed
Several projects can be proposed, they are grouped by the methodology required:
*Data Science applied to:
- images processing and situational awareness in forest fires
- stochastic scenarios for fire spread
- stochastic scenarios of disasters for humanitarian logistics
*Optimisation (stochastic and multiobjective) applied to:
- fire suppression
- evacuation
- on-site protection
- warehouses management and prepositioning of humanitarian aid
*Data Science applied to:
- images processing and situational awareness in forest fires
- stochastic scenarios for fire spread
- stochastic scenarios of disasters for humanitarian logistics
*Optimisation (stochastic and multiobjective) applied to:
- fire suppression
- evacuation
- on-site protection
- warehouses management and prepositioning of humanitarian aid
Key words
Application requirements
Professional Experience & Documents
CV
Academic records (Master and PhD)
Recommendation letter
Motivation letter
Academic records (Master and PhD)
Recommendation letter
Motivation letter
One Page Proposal
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