
Daniel Rebelo Santos
Principal Investigator
Assistant Professor
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 19 articles in indexed, international, peer-reviewed journals and frequently collaborates with national and international researchers. He currently supervises or has supervised seven 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 60 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.”

Inês Marques
Assistant Professor
Inês Marques is Assistant Professor at the Department of Engineering and Management (DEG, IST, University of Lisbon), and Researcher at the Centre for Management Studies. Her main research areas focus on operations research for operations management, mainly to support planning and scheduling decisions and to improve health care service delivery. She has worked in several research projects in collaboration with health care service providers. She has published in journals in the areas of operations research and management science. She was co-Coordinator of the European Working Group on Operational Research Applied to Health Services (EWG ORAHS) and member of the board of the European Working Group on Practice of Operational Research (EWG POR). She holds a degree in Mathematics Applied to Economics and Management, a MSc in Operations Research and a PhD in Statistics and Operations Research.

Ana Barbosa-Póvoa
Full Professor
Ana Barbosa-Póvoa is a Full Professor in Operations and Logistics, at the Engineering and Management Department of Instituto Superior Técnico (IST), University of Lisbon. She holds a PhD from the Imperial College of Science Technology and Medicine and her research focus is on developing a comprehensive understanding of complex problems in supply chains and operations management, supported by novel and sound engineering systems models and techniques. Sustainability, resilience, uncertainty and risk in the design and planning of supply chains are among the main research-addressed domains. Ana has created and coordinates the research group in Operations Management and Logistics and Supply Chain Management (OpLog) at the Centre for Management Studies of IST. She has a large experience of in supervision and has been awarded with several research grants. Her research has led to several national and international awards having twice received the honor of being considered the best researcher in Industrial Management at the University of Lisbon. She is an editor of the Computers and Chemical Engineering Journal and a member of several editorial boards, namely the European Journal of Operational Research, the International Journal of Production Economics, TOP, and Operations Research Perspectives. She is one of the Vice Presidents of the EURO, European Association of Operational Research Society; a founder member of the Euro Working Group in Sustainable Supply Chains of the European Association of Operational Research – where she is currently part of the coordination team, a member of the team that has created the EURO WISDOM (Women in Society Doing Operational Research and Management Science) Forum, and a member of the Euro Working Group on Retail, and the Euro Working Group on Location and Analysis.

Tânia Ramos
Associate Professor
Tânia Ramos is an Associate Professor at the Engineering and Management Department at IST – University of Lisbon, and President of the Research Unit CEGIST – Centre for Management Studies of IST. She received her Bachelor’s degree in Management from ISCTE-IUL, her Master’s degree in Operations Research and Systems Engineering from IST and her PhD in Engineering and Management from IST. Tânia’s research focuses mainly on modelling and solving real-world problems related with logistics systems planning, routing, sustainability, reverse logistics, waste management and home care systems. She has several papers published in international journals. She is also the co-author of books in the field of logistics. She has coordinated several national projects on the fields of logistics and waste management.

Diana Jorge
Assistant Professor
Diana Jorge is an Assistant Professor of Operations and Logistics at the Department of Engineering and Management at Instituto Superior Técnico (IST), University of Lisbon. She received her PhD in Transportation Systems from the University of Coimbra in 2014. Her research focuses on modeling and solving real-world challenges using operations research methods, particularly in transportation and logistics systems, with a current emphasis on urban logistics. A central aspect of her work is the integration of sustainability objectives, including economic, environmental, and social dimensions.
Diana has co-authored several peer-reviewed articles published in international journals and has participated as a team member in six research projects, three completed and three ongoing. She is currently the coordinator of LL@Green – Optimizing towards Sustainable Last-Mile Logistics, a project dedicated to advancing sustainable last-mile logistics.

Blessing Ikechukwu
Researcher/PhD Candidate
Blessing Ikechukwu is a researcher in the field of mathematics and statistics with a strong interest in data-driven decision-making in healthcare systems. She holds a B.Sc. in Statistics and masters’ degrees in mathematical sciences and mathematical engineering respectively, where her research focused on statistical modeling and machine learning methods for health data analysis. Before joining the SUPPORT-HH project, Blessing worked as a medical statistician with a Pediatric Research Consortium, where she collaborated with multidisciplinary teams to analyze maternal and neonatal health data and support evidence-based medical research. Her work combines statistical analysis, optimization methods, and programming tools such as R and Python to address complex problems in healthcare. Within the SUPPORT-HH project, Blessing’s research focuses on the development of optimization models and decision-support tools for staff shift design in home hospitalization services. Her interests lie in operations research, healthcare management, and the application of mathematical modeling to improve healthcare efficiency, workforce planning, and patient outcomes.

Holly Merelie
Researcher/PhD Candidate
Holly Bea Merelie is a PhD candidate in Engineering and Management at Instituto Superior Técnico (IST) and a Research Fellow in the SUPPORT-HH project. Within this project, her research focuses on developing decision-support tools for the strategic planning of Home Hospitalization services. She holds a BSc in Nursing and an MSc in Health Care Services Management, from which her thesis on the impact of socioeconomic deprivation on primary healthcare performance was published in Health Care Management Science and presented at ORAHS 2025.
With over 7 years of clinical practice in the UK and Portugal, she has mentored nursing students and midwives and contributed to several quality improvement initiatives. Her profile combines frontline healthcare experience with a strong interest in Management Science and Operations Research. Her work aims to improve the organisation, efficiency, and planning of healthcare systems, enhancing their accessibility to the populations they serve.

Margarida Abreu
Researcher/PhD Candidate
Margarida Aires de Abreu is a doctoral student in Industrial Engineering and Management at IST, specialising in Operations Research. She holds both a Bachelor’s and a Master’s degree in Industrial Engineering and Management from IST, graduating with distinction. Her master’s thesis on bi-objective routing and districting problems proposed an exact solution method for a variant of the Capacitated Vehicle Routing and Districting Problem and resulted in a publication in International Transactions in Operational Research.
Her doctoral research focuses on integrated bi-objective routing problems arising in transportation and logistics systems, with an emphasis on developing advanced solution strategies, including enhanced exact methods, acceleration techniques and hybrid approaches incorporating Artificial Intelligence. The goal is to improve both computational efficiency and practical applicability, with validation in real-world logistics contexts.
Prior to her PhD, she worked as an Operations Software Engineer at SISCOG, contributing to optimisation software for railway transportation systems. She was also a Teaching Assistant and Grader at IST and Nova SBE.
