Daniel Rebelo dos Santos
Assistant Professor
Instituto Superior Técnico
Daniel Santos is an Assistant Professor at the Engineering and Management Department of Instituto Superior Técnico and the current Vice President of CEGIST. He concluded his PhD in Optimisation from Faculdade de Ciências da Universidade de Lisboa in April 2019, with a thesis titled "Models for multi-depot routing problems". Daniel's primary research areas are routing and health care, with a focus on developing models, algorithms and tools to support decision-making. He is a co-author of over 13 articles in indexed international peer-reviewed journals, and frequently collaborates with national and international researchers. Daniel currently supervises(d) 5 PhD students in health care applications and combinatorial optimisation, on topics such as home hospitalisation, emergency medical services, blood supply chain, operating room planning and scheduling, and university timetabling, and has supervised over 40 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 Hospitalisation management".
Keywords: Integer Programming | Combinatorial Optimization | Stochastic Optimization
Publications
European Journal of Operational Research | 2024
European Journal of Operational Research | 2023
European Journal of Operational Research | 2023
Networks | 2022
Socio-Economic Planning Sciences | 2022
Research Groups
Projects
Service integration in healthcare – Balancing stakeholder interests and workflows in operating rooms
The aim of this project is to generate evidence and support tactical decisions in operating room management through new mathematical models.
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.