Annunziata Esposito Amideo

Research Student

Research Interests

Optimization Approaches for Improving Mitigation and Response Operations in Disaster Management

 

Disasters are calamitous events that severely affect the life conditions of an entire community [1]. Disaster-related issues are usually dealt with according to the Disaster Operations Management (DOM) framework [2]. DOM is composed of four phases: mitigation and preparedness, which address pre-disaster issues, and response and recovery, which focus on problems arising after the occurence of a disaster.

The ultimate scope of my doctoral studies is to develop models and algorithms for disaster managament through tools belonging to the domains of optimization and computer science. In particular, my research activity focuses on mitigation and response phases. In the context of critical infrastructures, there are three main research directions: identification of critical network components, protection of such elements and survivable design [3]. One of the aims of my PhD is to develop a novel bi-level program to mitigate worst-case disruptions through protection investments based on resource allocation strategies. On the other side, in the context of road networks, another aim of my PhD is to develop a novel and more comprehensive mixed-integer program to enhance response in evacuation planning [4]. Obiviosly, due to their complexity, these models require to devise ad-hoc algorithms, either exact or heuristic.

References: [1] IFRC (2017). International Federation of Red Cross and Red Crescent Societies. http://www.ifrc.org/en/what-we-do/disaster-management/about-disasters/what-is-a-disaster/; [2] Altay, N. and Green, W. G. (2006). OR/MS research in disaster operations management. European Journal of Operational Research, 175(1), 475-493; [3] Esposito Amideo, A., and Scaparra, M. P. (2017). A Synthesis of Optimization Approaches for Tackling Critical Information Infrastructure Survivability. CRITIS2016 Conference Proccedings - Lecture Notes in Computer Science (In press); [4] Esposito Amideo, A., and Scaparra, M. P. (2017). A Scenario Planning Approach for Shelter Location and Evacuation Routing. ODS2017 Conference Proccedings – Springer PROMS Collection (In press).

Supervisors

Dr Jesse O'Hanley

Dr Maria Paola Scaparra

1st Supervisor Research Group

Management Science

Qualifications

  • Associate Fellow of the Higher Education Academy (AFHEA), July 2017
  • Master of Science (M.Sc.) in Management Engineering, University Federico II of Naples (Italy), 110/110 cum laude, July 2014
  • Bachelor of Science (B.Sc.) University Federico II of Naples (Italy), 110/110 cum laude, October 2011

Scholarships

  • Kent Business School PhD Scholarship (October 2015 - September 2018)
  • EURO NATCOR Bursary to attend NATCOR courses (June 2016)