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Daniel Rebelo dos Santos

Assistant Professor

Instituto Superior Técnico

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Daniel Santos is an Assistant Professor at the Engineering and Management Department of Instituto Superior Técnico and current Vice President of CEGIST. He concluded his PhD in Optimization 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 focus on developing models, algorithms and tools to support decision-making. He is co-author of over 13 articles in indexed international peer-review journals, and frequently collaborates with national and international researchers. Daniel currently supervises(d) 5 PhD students in health care applications and combinatorial optimization, on topics such as home hospitalization, 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 Hospitalization 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.

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.

Contacts

CEGIST - Centro de Estudos de Gestão
do Instituto Superior Técnico

Av. Rovisco Pais, 1049 - 001 Lisboa
Tel: +351 21 841 77 29 (ext. 1729)
Fax: +351 21 841 79 79
E-mail: cegist@tecnico.ulisboa.pt

Sponsored by
FCT Logo

Financed by Portuguese funds through the 
FCT - Foundation for Science and Technology, I.P., 
under the projects UIDB/00097/2020 and UIDP/00097/2020

Host Institution
IST Lisboa