Dr. Francisco Javier Diez, University of Valladolid, Spain
Francisco Javier Diez is a post-doctorate researcher in the Department of Agricultural and Forestry Engineering at the University of Valladolid, Spain. He holds a Ph.D. in Agri-Food and Biosystems Science and Engineering, awarded with the prestigious “Cum Laude” distinction. Additionally, he obtained a Diploma in Advanced Studies in Intelligent Systems in Engineering from the University of León, where he received an award for his research on optimizing solar thermal systems. He is also an Industrial Engineer, trained at the University of León. Dr. Diez’s research focuses on the application of artificial neural networks for predicting and estimating environmental variables relevant to agricultural and urban settings. He has published several significant articles, including studies on predicting daily ambient temperatures and global solar irradiation in Castilla y León, Spain. His work has garnered attention, with a total of 127 citations on ResearchGate, and one of his recent publications has been provisionally selected for the “Best Researcher Award.” His contributions to the field include developing models for solar energy applications and enhancing our understanding of climate dynamics in urban agriculture. Through his research, Dr. Diez aims to advance sustainable practices in agriculture and renewable energy systems.
Professional Profile:
ORCID
Summary of Suitability for the Best Researcher Award
Francisco Javier Diez is a highly qualified and accomplished post-doctoral researcher in the Department of Agricultural and Forestry Engineering at the University of Valladolid, Spain. He holds a PhD in Agri-Food and Biosystems Science and Engineering with an Outstanding “Cum Laude” qualification, reflecting his expertise and commitment to advancing research in this field.
🎓 Education
- Ph.D. in Agri-Food and Biosystems Science and Engineering
- University of Valladolid
- Graduated Cum Laude with an Outstanding qualification.
- Diploma in Advanced Studies in Intelligent Systems in Engineering
- University of León
- Overall average grade: 2.7/3.0
- Awarded for the research work “Optimization of Solar Thermal Systems” by the Chair of Renewable Energies.
- Industrial Engineer
💼 Work Experience
- Postdoctoral Researcher
- Department of Agricultural and Forestry Engineering, University of Valladolid.
- Specializes in solar energy optimization, climate data modeling, and neural network applications for agri-food and environmental systems.
🏆 Achievements, Awards and Honors
- 🏅 Best Researcher Award (Provisional Selection) for the publication:
“Daily Estimation of Global Solar Irradiation and Temperatures Using Artificial Neural Networks” (Sensors, 2022).
- 📈 Research with 127 citations on ResearchGate.
- ✨ Awarded for the research project “Optimization of Solar Thermal Systems” by the Chair of Renewable Energies.
- 📜 Author of several high-impact publications, including:
- Solar Energy (Cited by 57)
- Agronomy (Cited by 23, 19, and more).
Publication Top Notes:
Prediction of Daily Ambient Temperature and Its Hourly Estimation Using Artificial Neural Networks in Urban Allotment Gardens and an Urban Park in Valladolid, Castilla y León, Spain
Prediction of Daily Ambient Temperature and Its Hourly Estimation Using Artificial Neural Networks in Urban Allotment Gardens and in an Urban Park in Valladolid, Castilla y León, Spain.
Daily Estimation of Global Solar Irradiation and Temperatures Using Artificial Neural Networks through the Virtual Weather Station Concept in Castilla and León, Spain
Prediction of Daily Ambient Temperature and Its Hourly Estimation Using Artificial Neural Networks in an Agrometeorological Station in Castile and León, Spain
Photovoltaics and Electrification in Agriculture