FAIST

About Project

Acronym

FAIST

Responsible

José Lino Marques de Oliveira

Status

active

Start

January 1, 2022

End

January 31, 2025

Effective End

Global Budget

€1,087,580.46

Financing

€913,567.00

Members

Team Leaders

Lino Oliveira is a senior researcher, project manager and manager of the Geospatial Information Systems Engineering area at the Center for Human-Centered Computing and Information Science (HUMANISE) at INESC TEC. His activity has been oriented to the management and development of national and international projects of geospatial information systems, based on OGC (Open Geospatial Consortium) emerging norms in governmental institutions and companies. Master in Computer Science and Engineering from the NOVA School of Science and Technology, Lisbon. Holds a postgraduate degree in Enterprise Applications Engineering and a degree in Information Systems Engineering from the School of Engineering of the Polytechnic Institute of Oporto. He also has a specialization in Project Management from Porto Business School and concluded the General Management Programme, also in Porto Business School.

Team Members

Ricardo Jorge Teixeira de Sousa

Nelson Bilber Rodrigues

Ana Rita Dias Nogueira

José Pedro Ribeiro Ferreira Pinto

Manuel José Pereira Curral

Márcio Cláudio Silva Duarte

Ana Margarida Mendes Antunes Martins Victoriano

Alexandre Almeida da Costa

José Lino Marques de Oliveira

Disseminations

INESC TEC has a unique and differentiating management model, improved over its 35 years of history. Reflecting its unique position between academia and industry, the management at INESC TEC carefully balances, in a hybrid model, the academic culture of scientific freedom and dialogue with a culture of efficiency and responsibility in management.

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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.

Human-Centered Computing and Information Science

The Centre for Human-Centered Computing and Information Science (HumanISE) brings together engineers, scientists, and designers with expertise in Human-Centred Computing (HCC), Computer Science (CS), and Information Science (IS). Interdisciplinarity, one of the Centre’s defining features, fosters the development of software systems, methods, and tools designed to empower individuals and their communities. The excellence and impact of HumanISE’s research, innovation, and consultancy activities allow addressing increasingly complex, volatile, heterogeneous, ambiguous, and uncertain challenges, while ensuring compliance with legal, ethical, and organisational standards and frameworks. Value transfer is achieved through close collaboration with academia and industry partners. HumanISE’s core research areas include Human-Computer Interaction; Computer Graphics and Interactive Digital Media; Information Management and Information Systems; Software Engineering; and Large-Scale and Special-Purpose Computing Systems, Languages, and Tools; as well as Computing for Embedded and Cyber-Physical Systems. HumanISE also explores innovation domains like Earth, Ocean and Space Sciences; Personalised Health Research; Geospatial Information Systems Engineering; and Applied Information Systems and Computing.