José Pedro Coelho Rodrigues

Domains

Industrial Engineering and Management

Projects

RCD

NanoStima-RL1

Project NanoSTIMA will try to respond to two great challenges: going from the current macro technologies used today to micro and nano technologies, which will play a key role in the health and well-being sectors; and managing the large amounts of information that these wearable and implantable sensors will generate, integrating them with data from other sources, such as medical records, genetic data, and even social networks. The project’s research line 1 will be developed by two INESC TEC centres: C-BER and CAP. At C-BER, the goal of CAD-RL5 is to develop advanced capabilities for computer-aided detection and diagnosis (CAD). This requires research on innovative methodologies for CAD development, that will make it possible to go from ad hoc engineering approaches, driven by direct expert knowledge, to more automated approaches, driven by the intrinsic structure of data, knowledge discovery and expert supervision. Problems tackled will be generic in the sense that appropriate outcomes can be applied universally to medical imaging practices. The developed method will enable lab demonstrations of several clinical problems where the research team has relevant experience (e.g. radiology, ophthalmology and ultrasound imaging).

NanoSTIMA - Macro-to-Nano Human Sensing Technologies

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Publications

Reducing the feasible solution space of resource-constrained project instances

Vanhoucke, M;Coelho, J;

2024

COMPUTERS & OPERATIONS RESEARCH

A configurational perspective for the generalisation of healthcare innovations: The case of a new screening programme

Rodrigues, JC;Barros, AC;Claro, J;

2024

TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE

Factors influencing the use of information and communication technologies by students for educational purposes

Silva, JC;Rodrigues, JC;Miguéis, VL;

2024

EDUCATION AND INFORMATION TECHNOLOGIES

Configurational model for the process of alignment in technology implementations

Rodrigues, JC;Barros, AC;Claro, J;

2023

JOURNAL OF ENGINEERING AND TECHNOLOGY MANAGEMENT

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Supervised theses

Modelação, Controlo e Simulação de uma Estação Marítima Autónoma

JOSÉ PEDRO DE FIGUEIREDO TAVARES

IPP-ISEP

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.