UMA UMA
EN PT

Décio Damasceno Mendonça Alves

Faculty of Exact Sciences and Engineering

Tecnopolo, Floor -2, Office Classroom

decio.alves@staff.uma.pt

“

The key is to start!

Biographical Notes

Décio Alves holds a Bachelor?s degree in Environmental Sciences, a Master?s in Environmental Engineering, and a postgraduate qualification in Civil Protection. He completed a PhD in Electrical Engineering at Universidade da Madeira and is currently a Superior Technician at IPMA, I.P., Invited Assistant Professor at Universidade da Madeira, and researcher at the Interactive Technologies Institute, with interests in environmental engineering, civil protection, and the application of machine learning to decision-making systems.

Publications

- 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

- Deep Learning Enhanced Wind Speed and Direction Forecasting for Airport Regions, Alves, D., F. Mendonça, S. S. Mostafa, and F. Morgado-Dias, Weather and Forecasting, 2025, 1

- Intelligent visibility forecasting at airports: a systematic review, Alves, Décio; Belo-Pereira, Margarida; Mendonça, Fábio; Morgado-Dias, Fernando, Environmental Research Communications, 2025

- A comprehensive IoT cloud-based wind station ready for real-time measurements and artificial intelligence integration, D. Alves, F. Mendonça, S. Mostafa, F. Morgado-Dias, e-Prime - Advances in Electrical Engineering, Electronics and Energy, 2024, 11

- A Computer Vision Approach for Satellite-Driven Wind Nowcasting over Complex Terrains, D. Alves, F. Mendonça, S. Mostafa, F. Morgado-Dias, Environmental Research Communications, 2024

- Low Tropospheric Wind Forecasts in Aviation: The Potential of Deep Learning for Terminal Aerodrome Forecast Bulletins, D. Alves, F. Mendonça, S. Mostafa, and F. Morgado-Dias, Pure and Applied Geophysics, 2024, 12

- On the use of Kolmogorov-Arnold Networks for Adapting Wind Numerical Weather Forecasts with Explainability and Interpretability: Application to Madeira International Airport, D. Álves, F. Mendonça, S. Mostafa, and F. Morgado-Dias, Environmental Research Communications, 2024

- 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

- Wind Limitations at Madeira International Airport: A Deep Learning Prediction Approach, D. Alves, D. Freitas, F. Mendonça, S. Mostafa, F. Morgado-Dias, IEEE Access, 2024

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

Academic Qualifications

- PhD in Engenharia Eletrotécnica, 2025, Faculdade de Ciências Exatas e da Engenharia

- Master Degree in Ingeniería Ambiental, 2020, Universidad Europea del Atlántico