Décio Damasceno Mendonça Alves
decio.alves@staff.uma.pt
The key is to start!
Nota Biográfica
Currently he is pursuing a PhD in Electrical Engineering at Universidade da Madeira. His research, ?Very Short-Range Forecasting of Wind Speed and Direction for Air Traffic Operations at Madeira Airport,? aims to leverage machine learning techniques to model and forecast wind at complex terrains. Specifically, the focus is on areas like Madeira Airport to potentially improve air traffic weather information. Décio?s research interests are rooted in environmental engineering and the application of machine learning in diverse fields.
Publicações
- 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
- 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
- The Potential of Machine Learning for Wind Speed and Direction Short-Term Forecasting: A Systematic Review, D. Alves, F. Mendonça, S. Mostafa, and F. Morgado-Dias, Computers, 2023, 1
Habilitações Académicas
- Mestrado em Ingeniería Ambiental, 2020, Universidad Europea del Atlántico