Francisco Hernando-Gallego
Scholar

Francisco Hernando-Gallego

Google Scholar ID: 89e5aoQAAAAJ
Assistant professor
Machine learningOptimizationSignal processingArtificial Intelligence
Citations & Impact
All-time
Citations
114
 
H-index
5
 
i10-index
2
 
Publications
19
 
Co-authors
13
list available
Resume (English only)
Research Experience
  • Developed state-of-the-art machine learning models for cryptocurrency market trend prediction using deep learning architectures to deliver real-time insights
  • Built performance optimization systems for professional athletes, offering data-driven insights on recovery, injury prevention, and peak performance
  • Created full-scale LLM-powered chatbots integrated with NLP and deep learning for intelligent, real-time customer support across platforms
  • Applied machine learning to analyze Galvanic Skin Response (GSR) data for stress and emotional response prediction in mental health research
  • Delivered AI/ML educational courses to empower the next generation of AI practitioners