mKEP

About Project

mKEP - Models and optimisation algorithms for multicountry kidney exchange programs

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.

Acronym

mKEP

Responsible

Ana Maria Marques de Moura Gomes Viana

Status

Concluded

Start

January 1, 2016

End

January 30, 2019

Effective End

January 30, 2019

Global Budget

€199,585.00

Financing

€149,358.00

Members

Team Leaders

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.

Team Members

Kseniia Klimentova

Tiago Rafael Pinto Monteiro

Ana Maria Marques de Moura Gomes Viana

João Pedro Pedroso Ramos dos Santos

Associated 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.