Ana Maria Marques de Moura Gomes Viana

Ana Viana holds a PhD in Electrical and Computers Engineering (University of Porto, 2004).

She is Coordinator Researcher of the Centre for Industrial Engineering and Management of INESC TEC and Coordinator Professor at the Polytechnic of Porto, School of Engineering.

Her research interests focus on Combinatorial Optimisation, both on the development of exact and (meta-)heuristics approaches.

She led several research projects with public funding and publishes regularly in reference scientific journals of her area of activity.

Domains

Industrial Engineering and Management

Projects

Greenshoes

The Footwear and Fashion Cluster integrated project, GreenShoes 4.0, aims to establish Portugal as a world refence for the consumer and industries of these sectors, through differentiation, creativity and value, boosting national exports, sustainability and globally competitiveness, based on a strong national production, supported on technical and scientific knowledge. GreenShoes 4.0 aims to prepare the Cluster for the Future, promoting the synergistic cross between ?the biological, the physical and the digital?, the innovation to support the emergence of new products and services and the sustainable transformation and development of the Cluster and country, intervening in 3 strategic R&D areas: new ?costumer-driven? concepts of business, footwear and leather goods in the circular and digital economy; leather, polymers and components for footwear and leather goods of the future; and new technologies and digitalization of the whole Cluster value chain: consumer, materials & components, technologies, footwear & leather goods and the online & physical retail. This ambition is possible due to a mobilised complete consortium, integrating 15 leader companies of the different sectors, including design, materials, equipment, software, logistic, retail, footwear and leather goods; and 8 R&D entities with complementary competences and recognized merit at national and international level, on their field of intervention, that in cooperation will contribute to ensure the implementation of research and innovation plan, assumed collaboratively by the cluster

mKEP

Kidney exchange programs (KEPs) represent a new alternative for patients to get transplants from living donors. For a patient with a willing donor of one kidney but physiologically incompatible for transplant, the patient-donor pair can join many other such incompatible pairs in a pool for potential exchange. These programs run on a national or regional basis but there is evolving impetus in Europe to consider the possibility of creating international pools in which different countries can participate in a multi-country KEP. This joint collaboration would lead to a bigger common pool, a factor that can certainly help to increase the number of total possible transplants. The overall research aspects of this project will strive to develop new models and optimisation algorithms and create a decision-making tool amenable for European as well as global adoption.

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Publications

Local stability in kidney exchange programs

Baratto, M;Crama, Y;Pedroso, JP;Viana, A;

2025

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH

Kidney Exchange Programs with a Priori Crossmatch Probing

Alvelos, F;Viana, A;

2018

OPERATIONS RESEARCH PROCEEDINGS 2017

Shapley-Scarf Housing Markets: Respecting Improvement, Integer Programming, and Kidney Exchange

Biró, P;Klijn, F;Klimentova, X;Viana, A;

2023

MATHEMATICS OF OPERATIONS RESEARCH

Operations Research in Healthcare: a survey

Rais, A;Viana, A;

2011

INTERNATIONAL TRANSACTIONS IN OPERATIONAL RESEARCH

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Supervised theses

Real-Time Prediction of Wikipedia Articles' Quality

Pedro Miguel Braga Barbosa Lopes Moás

UP-FEUP

Centres

Industrial Engineering and Management

The Centre for Industrial Engineering and Management (CEGI) is internationally recognised in the fields of decision science, optimisation, operations management and service engineering. The mission is to support organisations and communities in decision-making by harnessing the power of data to develop robust and sustainable solutions to complex problems. Research at CEGI focuses on real-world challenges like transport planning, supply chain management, healthcare service networks, industrial operations optimisation, disaster response and recovery, and the impact assessment of public policies. By resorting to Artificial Intelligence, data science and mathematical modelling, CEGI aims to understand system behaviours, improve process efficiency, increase organisational resilience, and anticipate the effects of decisions in uncertain contexts. CEGI operates across critical sectors including mobility, healthcare, retail, industry, energy, and services, focusing on digital transition and sustainability. We collaborate with academia, companies, municipal authorities, hospitals, and regulators, transforming scientific knowledge into applied solutions. We believe that evidence-based management is key to tackling the challenges of a constantly changing world.