BI4UP

About Project

Business Intelligence (BI) Tool

Acronym

BI4UP

Responsible

Carlos Manuel Milheiro de Oliveira Pinto Soares

Status

Closed

Start

January 1, 2014

End

January 30, 2014

Effective End

January 30, 2014

Global Budget

Financing

Members

Team Leaders

Carlos Manuel Milheiro de Oliveira Pinto Soares

João Pedro Carvalho Leal Mendes Moreira

Areas of research:

- Knowledge discovery

- Intelligent transportation systems

João Pedro Carvalho Leal Mendes Moreira

Areas of research:

- Knowledge discovery

- Intelligent transportation systems

Associated Centres

Artificial Intelligence and Decision Support

Our Laboratory of Artificial Intelligence and Decision Support (LIAAD) conducts research in the fields of Artificial Intelligence, Machine Learning, Data Science, and Modelling. These areas are cross-cutting and apply to all sectors of society and the economy. The vast amounts of data being collected, alongside the ubiquity of digitalisation and sensorisation, are increasingly creating opportunities and challenges for automating decision support. The combination of Machine Learning and complex models is transforming the economy, healthcare, justice, industry, science, public administration, and education. This encourages us to invest in diverse technological and scientific approaches and perspectives. Our overarching strategy is to explore the flow and diversification of data, and to invest in research lines that will lead to the development of applied Artificial Intelligence foundations and models that are responsible and human centred.

Enterprise Systems Engineering

The research carried out at the Centre for Enterprise Systems Engineering (CESE) has a direct impact on industrial transformation, developing sustainable, resilient, and human-centred solutions to address the challenges of the digital and green transitions. Through a co-creation and development approach with scientific and industrial partners, CESE contributes to improve organisational capabilities and driving systemic innovation in complex industrial contexts. As a multidisciplinary research centre, CESE bridges science and practice in the field of Systems Engineering, focusing on value creation within industrial ecosystems. This mission is structured around five research lines that define CESE scientific and technological expertise: Manufacturing Systems Design and Management, Supply Chain and Collaborative Networks Management, Architectures and Industrial Information Systems, Technology Management in Industry, Transportation and Logistics.