INESC TEC
INESC TEC
INESC TEC
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Continental FoF

INESC TEC

About Project

Acronym

Continental FoF

Responsible

Luís Manuel de Sousa Pessoa

Status

Concluded

Start

January 1, 2020

End

January 30, 2023

Effective End

January 30, 2023

Global Budget

€10,251,255.00

Financing

€311,382.75

Members

Team Leaders
Luís Manuel de Sousa Pessoa

I am a senior researcher at the Centre of Telecommunications and Multimedia of INESC TEC, where I am also the coordinator of the area of Optical and Electronic Technologies. I received the “Licenciatura” degree in 2006 and PhD degree in 2011, both in Electrical and Computer Engineering from the Faculty of Engineering of the University of Porto. Currently I am responsible for the conception and management of R&D projects, coordination of research students and fostering the valorization of research results through new contracts with industry. I was previously involved in teaching of RF/microwave engineering and optical communications as an invited assistant professor at the University of Porto. I am author/co-author of more than 50 publications in international conferences and journals with peer-review, and 1 european patent. I have coordinated several research projects and participated in several EU research projects. My main research interests include coherent optical systems, radio-over-fibre, RF/microwave devices and antennas, and underwater wireless power/communications.

António Paulo Gomes Mendes Moreira

António Paulo Gomes Mendes Moreira has a degree in Electrical and Computer Engineering - FEUP (1986), Electronic Instrumentation option, a Master's degree in Electrotechnical and Computer Engineering - Systems Specialisation at FEUP (1991), a PhD in Electrical and Computer Engineering (1998) and an Aggregation - FEUP (2017). He is currently a Full Professor in the Department of Electrical and Computer Engineering at the Faculty of Engineering of the University of Porto. He is also a Researcher and Coordinator of CRIIS - Centre for Industrial Robotics and Intelligent Systems and Head of the iiLab – Industry and Innovation Laboratory at INESC TEC. He carries out research essentially in Robotics, Automation and Control, with an emphasis on its application in industrial projects and technology transfer. He has participated or is still participating in 25 scientific projects, being the coordinator or researcher responsible for 7 of them. The work carried out on these projects has generated 40 projects with companies or development and technology transfer contracts, and he is the lead researcher on 18 of these projects. He also participated in the development of 18 prototypes and 2 patents, of which he is co-owner. He has contributed to the creation of two spin-off companies. More details at: https://www.cienciavitae.pt/portal/EB15-85A7-4A0D

Alípio Mário Guedes Jorge

I am an associate professor at the Department of Computer Science of the Faculty of Science of the University of Porto and the coordinator of LIAAD , the Artificial Intelligence and Decision Support Lab of UP. LIAAD is a unit of INESC TEC (Laboratório Associado) since 2007. I am a PhD in Computer Science by U. Porto, MSc. on Foundations of Advanced Information Technology by the Imperial Collegeand BSc. in Applied Maths and Computer Science, currently Computer Science (U. Porto). My research interests are Data Mining and Machine Learning, in particular association rules, web and text intelligence and data mining for decision support. My past research also includes Inductive Logic Programming and Collaborative Data Mining. I lecture courses related to programming, information processing, data mining, and other areas of computing. While at the Faculty of Economics, where I stayed from 1996 to 2009, I launched, with other colleagues, the MSc. on Data Analysis and Decisison Support Systems, which I coordinated from 2000 to April 2008. I lead research projects on data mining and web intelligence. I was the director of the Masters in Computer Science at DCC-FCUP from June 2010 to August 2013. I co-chaired international conferences (ECML/PKD 2015, Discovery Science 2009, ECML/PKDD 05 and EPIA 01), workshops and seminars in data mining and artificial intelligence. I was Vice-President of APPIA the Portuguese Association for Artificial Intelligence.

Miguel Ângelo Correia de Melo

Miguel Melo is Assistant Researcher of MASSIVE Virtual Reality Laboratory at INESC TEC in Portugal. He has a PhD from the University of Trás-os-Montes and Alto Douro, specializing in Computer Graphics. He is also a member of the executive committee of Eurographics. He counts with more than 25 publications in international peer-reviewed journals and he has been participating in several international research projects in the field of Multisensory Virtual Reality applied to different areas such as specialized training or tourism.

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.

Artificial Intelligence and Decision Support

Robotics in Industry and Intelligent Systems

At the Centre for Robotics and Intelligent Systems, we develop innovative solutions to leverage robotics in the industrial, agricultural, and forestry contexts, driving the digital transformation of the industry. We take a practical approach - from design to deployment - to test the navigation and localisation of mobile robots, explore advances in 2D/3D industrial vision and advanced detection, while also focusing on industrial and collaborative robotics, as well as human-robot interfaces. Our TRIBE LAB is fertile ground for innovative ideas about the agriculture of the future; we develop prototypes and promote excellence in agricultural robotics and IoT technology: with prototypes, advanced sensors (LiDAR, AI cameras), and rapid prototyping tools, we accelerate the development of solutions for the agroforestry sector. We are also present at the iiLab, where we combine applied research, technological demonstration, and controlled environment testing, promoting the integration of emerging technologies into industry. From intelligent robotic cells and cyber-physical systems to data analysis and AI, it is an innovation space where companies can experiment with and validate solutions for the factory of the future. With a multidisciplinary team, and following European agendas, our research work combines fundamental science and application, impacting the design of solutions for Industry 4.0, fostering competitiveness and the digital transformation of the sector.

Robotics in Industry and Intelligent Systems