Mariana Bayão Horta Mesquita da Cunha
Centro de Estudos de Gestão do Instituto Superior Técnico
Mariana Mesquita da Cunha is a PhD student in Engineering Management at IST, CEG-IST, Instituto Superior Técnico, University of Lisbon. Her PhD thesis is titled "Multi-objective linear programming: models, algorithms and applications" and she is supervised by Professor Ana Póvoa and Professor José Rui Figueira. Mariana received a MSc. degree in Mechanical Engineering in 2018 at IST. Her master thesis was on "Scheduling of Flexible Job Shop Problem in Dynamic Environments". In this work, she studied both the scheduling and rescheduling problem in uncertain environments with stochastic perturbations. After her master's thesis, she was part of a research project with the pharmaceutical industry, developing automation platforms, simulation tools and automatic scheduling applications for analytical laboratories. Currently, Mariana’s research focus is on multi-objective mixed-integer linear optimization, namely representation strategies and interactive decision support tools. This work tackles challenges in emergency medical services, specifically in areas such as staffing and staff scheduling.
European Journal of Operational Research | 2023
XXII Congresso da Associação Portuguesa de Investigação Operacional (IO2022) | 2022
PhD Open Days 2022 - 8th edition | 2022
Recent Advances in Multi-Objective Optimization (RAMOO 2022) | 2022
26th International Conference on Multiple Criteria Decision Making (MCDM2022) | 2022
OpLog – Operations, Logistics and Supply Chain Management
MOSAIC – systems modelling and Methods of Operations reSearch And analytICs
Data2Help - Data science for the optimization of emergency medical services
Emergency medical services in mainland Portugal are coordinated by Instituto Nacional de Emergência Médica (INEM). In most cases, medical emergency situations are reported to INEM through a phone call to the 112 number, where specialized medical staff classifies the emergency situation and dispatches the proper emergency vehicle (ambulance, helicopter, life-support vehicle, among other) along with medical staff. Each vehicle is equipped to deal with different situations from light injuries to life-support.