Rui Neves Madeira
Assistant Professor
Contact:
Polytechnic University of Setúbal
Dep. of Systems and Informatics and RESILIENCE center
Dep. of Systems and Informatics and RESILIENCE center
Highest degree:
Doctorate
Degree name:
Computer Science
Area of expertise:
Engineering and technology
Skills:
Rui Neves Madeira obtained his PhD in Computer Science from Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa (FCT-UNL), his MSc in Computer Science and Informatics and his BSc in Electrical Engineering from the same University. He is an integrated researcher at the research centre of excellence NOVA-LINCS, Group of Multimodal Systems, and a collaborative researcher at the
Telecommunications Institute of Lisboa. He was the Head of the Centre of SustainRD - Research Center for Engineering a Sustainable Development at ESTSetúbal-IPS between 2019 and 2023. He is also a member of the Technical-Scientific Council of Technology School of Setúbal-IPS. He has published more than ten
articles in specialised journals, and he has five book chapters. Organised two events. He supervised one doctoral thesis, and he is supervising five doctoral thesis. Advisor of more than 25 master's dissertation(s).
Supervised more than 50 final projects for the bachelor's degree course. Received one award for the best paper in a top-tier conference. Participates and/or has participated as a Doctoral Fellow in 2 project(s), CoInvestigator-in-charge (Co-IR) in 3 project(s), Technical Development in 2 project(s), Researcher in 7 project
(s) and Researcher-in-charge in 3 project(s). He works in the areas of Engineering Sciences and Technologies with an emphasis on Other Engineering Sciences and Technologies, Exact Sciences with an emphasis on Computer and Information Sciences and Social Sciences with an emphasis on Educational Sciences. In his professional activities he has interacted with more than 150 collaborator(s) in co-authoring
scientific papers.
Researcher Research Topics: Personalization; Human-Computer Interaction; Digital Health; Digital Twins; Gamification, Serious Games; eXtended Reality; Digital Agriculture; Applied Artificial Intelligence.
Some selected Publications:
Researcher Research Topics: Personalization; Human-Computer Interaction; Digital Health; Digital Twins; Gamification, Serious Games; eXtended Reality; Digital Agriculture; Applied Artificial Intelligence.
Some selected Publications:
- Antunes, I., Antunes, A., & Madeira, R. N. (2023). Designing Serious Games with Pervasive Therapist Interface for Phonetic-Phonological Assessment of Children. In Proceedings of the 22nd International Conference on Mobile and Ubiquitous Multimedia. MUM'23: International Conference on Mobile and Ubiquitous Multimedia. ACM. https://doi.org/10.1145/3626705.3631798
- Macedo, P., Ferrada, F., Oliveira, A. I., & Madeira, R. N. (2021). Designing a Collaborative Personal Assistance Model for Persons with Disabilities: The Portuguese Independent Living Case. In IFIP Advances in Information and Communication Technology (pp. 652:662). Springer International Publishing. https://doi.org/10.1007/978-3-030-85969-5_61
- Antunes, A., Madeira, R. N., Tóth, I., & Bernardo, C. (2021). Modeling Serious Games Design towards Engaging Children with Special Needs in Therapy. In Extended Abstracts of the 2021 Annual Symposium on Computer-Human Interaction in Play. CHI PLAY'21: The Annual Symposium on Computer-Human Interaction in Play. ACM. https://doi.org/10.1145/3450337.3483493
- Rodrigues, R., Neves Madeira, R., & Correia, N. (2021). Studying Natural User Interfaces for Smart Video Annotation towards Ubiquitous Environments. In Proceedings of the 20th International Conference on Mobile and Ubiquitous Multimedia. MUM 2021: 20th International Conference on Mobile and Ubiquitous Multimedia. ACM. https://doi.org/10.1145/3490632.3490672
- Madeira, R. N., Germano, H., Macedo, P., & Correia, N. (2018). Personalising the User Experience of a Mobile Health Application towards Patient Engagement. In Procedia Computer Science (Vol. 141, pp. 428¿433). Elsevier BV. https://doi.org/10.1016/j.procs.2018.10.173