UMA UMA
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Fábio Ruben Silva Mendonça

Faculty of Exact Sciences and Engineering

Penteada University Campus , Floor 2, Office 2.58

fabioruben@staff.uma.pt

(+351) 291 705 290 / 5290

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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.

Publications

- A dataset of human and AI-generated rubric evaluations for formative programming assessment, Pedro Mendonça, Filipe Quintal, Karolina Baras, and Fabio Mendonça, Nature - Scientific Data, 2026

- A low-latency deep learning framework for volcanic ash cloud nowcasting using geostationary satellite imagery, Alves, D., Radeta, M., Mendonça, F., Pereira, L., e Morgado-Dias, F., Nature Scientific Reports, 2026

- Analysis of Metaheuristic, Sampling-Based, Potential Field, and Predictive Control Methods for Path Planning in Simulated Underwater Settings, Rubina Castro, Bruno Silva, Luiz Guerreiro Lopes, Fábio Mendonça, Computers, Materials & Continua, 2026

- Atlas and Updated Rules for the Scoring of Cyclic Alternating Pattern (CAP) in Human Sleep. A Consensus Report by a Taskforce of the European Sleep Research Society, Parrino, L., Gretarsdottir, H., Thomas, R., Rosenzweig, I., Bruni, O., Senel, G., Mendonça, F., Ravelo-García, A., Arnardóttir, E. e Ferri, R., Journal of Sleep Research, 2026, 23

- Editorial: Revolutionizing sleep instability: advanced diagnosis and management of sleep disorders, Fábio Mendonça, Sheikh Mostafa, Antonio Ravelo-Garcia, and Fernando Morgado-Dias, Frontiers in Sleep, 2026

- Mapping Nocturnal Arousal Across Sleep and Pain Disorders, Biabani, N., Mendonça, F., Mutti, C., Drakatos, P., Morgado-Dias, F., Ravelo-García, A., Senel, G., Gretarsdottir, H., Goadsby, P., Thomas, R., Bruni, O., Ferri, R., Parrino, L., Rosenzweig, I., Nature Scientific Reports, 2026

- Real-time banana harvest readiness prediction using mobile SE-enhanced YOLO classification, Baglat, P., Mendonça, F., Mostafa, S., Gupta, S., Silva, F., Garcês, H., Sousa, R., Côrte, D., and Morgado-Dias, F., Journal of Agricultural Engineering, 2026

- A deep learning approach for improving spatiotemporal resolution of numerical weather prediction forecasts, Alves, D., Mendonça, F., Mostafa, S., Morgado-Dias, F., Nature - Scientific Reports, 2025, 11

- A Multi-Stage Dataset for Banana Bunch Detection and Harvesting Decision Support, Baglat, P., Mendonça, F., Mostafa, S. e Morgado-Dias, F., Data in Brief, 2025

- A networked station system for high-resolution wind nowcasting in air traffic operations: A data-augmented deep learning approach, D. Alves, F. Mendonça, S. Mostafa, D. Freitas, J. Pestana, D. Vieira, M. Radeta, F. Morgado-Dias, PLOS ONE, 2025, 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