José F. Torres

José F. Torres is an Assistant Professor at Universidad Pablo de Olavide and visiting lecturer at UNED and Instituto Politécnico de Beja. His research specializes in Big Data analytics, temporal forecasting, and deep learning applications. He has authored numerous publications in high-impact journals and participates in international research projects on earthquake resilience and environmental modeling.

Research areas:

• Development of predictive models for energy markets
• Hybrid quantum-classical machine learning
• Urban resource consumption forecasting

His recent work demonstrates strong emphasis on practical applications of AI to environmental and urban challenges, with projects including earthquake-resilient infrastructure development and water resource management. Research collaborations span multiple European countries and industries.