João Pedro Pedroso

Domains

Industrial Engineering and Management

Projects

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.

LASTMILE

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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

Niche search: an application in vehicle routing

Pedroso, JP;

1998

1998 IEEE INTERNATIONAL CONFERENCE ON EVOLUTIONARY COMPUTATION - PROCEEDINGS

Hierarchical clustering of time-series data streams

Rodrigues, PP;Gama, J;Pedroso, JP;

2008

IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Support vector machines with different norms: motivation, formulations and results

Pedroso, JP;Murata, N;

2001

PATTERN RECOGNITION LETTERS

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Supervised theses

A Method for KPI Selection and Dashboard Design applied in a Book Editor

Manuel Santana Rebelo

M - 2023

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.