Fábio Ruben Silva Mendonça

Penteada University Campus , Floor 2, Office 2.90

fabioruben@staff.uma.pt

"Success in creating AI would be the biggest event in human history. Unfortunately, it might also be the last, unless we learn how to avoid the risks." - Stephen Hawking.

Biographical Notes

Fábio Mendonça received the BS and MSc degrees in electrical and telecommunications engineering from University of Madeira, and the PhD degree in electrical and computer engineering from Instituto Superior Técnico - University of Lisbon in partnership with Carnegie Mellon University. He works at the University of Madeira and is a researcher with the Interactive Technologies Institute - LARSyS. His research interests include sleep analysis, pattern recognition, and machine learning.

Publications

- Noncontact Automatic Water-Level Assessment and Prediction in an Urban Water Stream Channel of a Volcanic Island Using Deep Learning, F. Mendonça, S. Mostafa, F. Morgado-Dias, J. Azevedo, A. Ravelo-García, J. Navarro-Mesa, Electronics, 2024

- Sentiment Analysis in Portuguese Restaurant Reviews: Application of Transformer Models in Edge Computing, A. Branco, D. Parada, M. Silva, F. Mendonça, S. Mostafa, F. Morgado-Dias, Electronics, 2024, 1

- Sleep Analysis by Evaluating the Cyclic Alternating Pattern A Phases, A. Arturo, F. Mendonça, S. Mostafa, and F. Morgado-Dias, Electronics, 2024, 1

- Time-Series Embeddings from Language Models: A Tool for Wind Direction Nowcasting, D. Alves, F. Mendonça, S. Mostafa, F. Morgado-Dias, Journal of Meteorological Research, 2024

- A Continuous A-Phase Index View for Sleep Stability Analysis based on Automatic Detection of the A-Phases from the Cyclic Alternating Pattern, F. Mendonça, S. Mostafa, A. Gupta, E. Arnardottir, T. Leppanen, F. Morgado-Dias, and A. Ravelo-García, NSC 2023 -- Nordic Sleep Conference, 2023

- Automated Aviation Wind Nowcasting: Exploring Feature-Based Machine Learning Methods, D. Alves, F. Mendonça, S. Mostafa, F. Morgado-Dias, Applied Sciences, 2023, 1

- Graphical User Interface for the Development of Probabilistic Convolutional Neural Networks, A. Chaves, F. Mendonça, S. Mostafa, F. and Morgado-Dias, 2624-6120, Signals, 2023

- Non-Destructive Banana Ripeness Detection Using Shallow and Deep Learning: A Systematic Review, P. Bagla, A. Hayat , F. Mendonça, A. Gupt, S. S. Mostafa and F. Morgado-Dias, Sensors, 2023

- Novel Comparative Study for the Detection of COVID-19 Using CT Scan and Chest X-ray Images, Ahatsham Hayat, P. Baglat, F. Mendonça, S. S. Mostafa and F. Morgado-Dias, International Journal of Environmental Research and Public Health, 2023

- On the Use of Kullback--Leibler Divergence for Kernel Selection and Interpretation in Variational Autoencoders for Feature Creation, F. Mendonça, S. Mostafa, F. Morgado-Dias, and A. Ravelo-García, Information, 2023, 1

Academic Qualifications

- PhD in Engenharia Electrotécnica e de Computadores, 2021, Universidade de Lisboa - Instituto Superior Técnico (Alameda) (após 2013/14)

- Master Degree in Engenharia Eletrotécnica - Telecomunicações, 2016, Faculdade de Ciências Exatas e da Engenharia

- Undergraduate Degree in Engenharia Electrónica e Telecomunicações, 2013, University of Madeira