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Paulo Roberto de Sousa Abreu

Researcher

Centro de Estudos de Gestão do Instituto Superior Técnico

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Paulo holds a PhD in Engineering and Management. His research focuses on forecasting, optimisation models, stochastic programming, machine learning, and data-driven decision making. He develops mathematical and computational approaches to support strategic, tactical, and operational decisions in complex systems. His work combines predictive methods and optimisation techniques to address real-world decision challenges, balancing practical relevance with methodological robustness.


Keywords: Data-driven decision making | Optimisation | Operations management

Research Groups

Projects

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.