UMA UMA
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Fábio Ruben Silva Mendonça

Faculty of Exact Sciences and Engineering

Penteada University Campus , Floor 2, Office 2.90

fabioruben@staff.uma.pt

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"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

- 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

- Agrotech ? sensing use cases, Nuno Silva, Diana Côrte, Miguel Ângelo Carvalho, Morgado Dias, InovAction, 2022

- API: an Alternative View for Sleep Stability Analysis based on Automatic Detection of the A-Phases from the Cyclic Alternating Pattern, F. Mendonça, SS Mostafa, A. Gupta, E. Arnardottir, T. Leppänen, F. Morgado-Dias, A. Ravelo-García, Sleep, 2022

- Heuristic Optimization of Deep and Shallow Classifiers: An Application for Electroencephalogram Cyclic Alternating Pattern Detection, F. Mendonça, S. S. Mostafa, D. Freitas, F. Morgado-Dias, and A. G. Ravelo-García, Entropy, 2022, 12

- Multiple Time Series Fusion Based on LSTM: An Application to CAP A Phase Classification Using EEG, F. Mendonça, S.S. Mostafa, D. Freitas, F. Morgado-Dias and A. G. Ravelo-García, International Journal of Environmental Research and Public Health, 2022

- A Method based on Cardiopulmonary Coupling Analysis for Sleep Quality Assessment with FPGA Implementation, F. Mendonca, S. Mostafa, F. Morgado-Dias, A. G. Ravelo-García, Artificial Intelligence in Medicine, 2021

- Metodologia para Análise da Qualidade do Sono Baseada no Conjunto de Redes Neuronais Convolucionais, F. Mendonça, S. Mostafa, F. Morgado-Dias, G. Juliá-Serdá e A. Ravelo-García, AEIST, 2021

- On the use of Patterns Obtained from LSTM and Feature-Based Methods for Time Series Analysis: Application in Automatic Classification of the CAP A Phase Subtypes, F. Mendonça, S. S. Mostafa, F. Morgado-Dias, A. Ravelo-García, Journal of Neural Engineering, 2021, 12

- A Method for Sleep Quality Analysis based on CNN Ensemble with Implementation in a Portable Wireless Device, F. Mendonça, S. S. Mostafa, G. Juliá-Serdá, F. Morgado-Dias, A. Ravelo-García, IEEE Access, 2020, 12

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, University of Madeira

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