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Daniel Rebelo dos Santos

Assistant Professor

Instituto Superior Técnico

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Daniel Santos is an Assistant Professor in the Department of Engineering and Management at Instituto Superior Técnico and the current Vice President of CEGIST. He earned his PhD in Optimization from the Faculty of Sciences of the University of Lisbon in April 2019, with a thesis titled “Models for Multi-Depot Routing Problems.” His primary research areas are routing and health care, with a focus on developing models, algorithms, and tools to support decision-making. He is the co-author of more than 15 articles in indexed, international, peer-reviewed journals and frequently collaborates with national and international researchers. He currently supervises five PhD students working on health care applications and combinatorial optimization, including topics such as home hospitalization, emergency medical services, the blood supply chain, operating room planning and scheduling, and university timetabling, and he has supervised more than 50 MSc students. He is the Principal Investigator of the FCT-funded projects “LAIfeBlood+ – Data Science for Blood Management” and “SUPPORT-HH: Decision Support Tools for Home Hospitalization Management.”

 

Keywords: Integer Programming | Combinatorial Optimization | Stochastic Optimization

Publications

International Transactions in Operational Research | 2026

Margarida de Abreu

International Transactions in Operational Research | 2025

Valentina Bonomi

Maria Lopes

Renata Mansini

Ana Barbosa‐Pòvoa

European Journal of Operational Research | 2023

Maria Meneses

Ana Barbosa-Póvoa

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.

ImproveOR - Decision support tools for better quality in operating rooms management

The ImproveOR project aims at improving efficiency in surgical care delivery and at improving access to surgical care, as a result of an increase of the operating room responsiveness to surgical demand and a better coordination between surgical supply and demand. Decision support tools are developed combining optimization approaches to assist resource capacity planning decisions in the operating room with structured participatory approaches to capture stakeholders’ views and preferences regarding the surgical patient flows and the planning and scheduling of surgeries.