Teresa Galvão

Domains

Industrial Engineering and Management Computer Science and Engineering

Projects

opti-MOVES

The project combined diagnosis and optimization methods to improve the quality of urban public transport, particularly intermodal transport services. The system aims to support decisionmaking of mobility operators and authorities, in planning, monitoring and optimizing intermodal operations and in the definition of urban policies. Positive impacts are expected, with an increase of public transport utilization, and a reduction of energy costs and pollutant emissions.

Quality management of intermodal public transport services: diagnosis and optimization

Publications

Configurations and features of demand responsive transports

Dauer A.;Dias T.G.;de Sousa J.P.;de Athayde Prata B.;

2024

Transportation Research Procedia

Estimating Alighting Stops and Transfers from AFC Data: The Case Study of Porto

Hora, J;Marta, CFB;Camanho, A;Galvao, T;

2024

INFORMATION SYSTEMS AND TECHNOLOGIES, VOL 4, WORLDCIST 2023

Gamification in Mobile Ticketing Systems: A Review

Ferreira, MC;Gouveia, D;Dias, TG;

2024

INFORMATION SYSTEMS AND TECHNOLOGIES, VOL 4, WORLDCIST 2023

Analyzing Quality of Service and Defining Marketing Strategies for Public Transport: The Case of Metropolitan Area of Porto

Ferreira, MC;Peralo, G;Dias, TG;Tavares, JMRS;

2024

INFORMATION SYSTEMS AND TECHNOLOGIES, VOL 4, WORLDCIST 2023

View all publications

Supervised theses

Predicting Parkinson's Disease Motor Symptom Severity and Pattern Recognition in Unlabelled Home-Collected Data

Francisco Novais Neves

M - 2024

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.