Aythami Morales

Aythami Morales is a Professor at Universidad Autónoma de Madrid (UAM), supported by the Madrid Government under the V PRICIT program for Excellence in University Teaching Staff. His work bridges machine learning with real-world applications in auditable AI tools, security, privacy, and discrimination-aware learning.

• Key Research Themes: Biometrics, multimodal AI, fairness in machine learning, dietary assessment, and attention mechanisms
• Recent Projects: M2RAI (Multimodal and Multitask Responsible AI, 250K euros + PhD funding) and eMIRIAM (Risk Assessment in AI for Mental Health)

His 15 most recent articles (2025) focus on AI auditability, biometric verification, and privacy-preserving techniques, spanning conferences like IEEE/IJCB, ICCV, and CVPR. He received the 2024 Stanford Top 2% Scientists in AI recognition and a Best Paper Award at CVPR 2025. Morales actively engages in societal outreach through media (El País Retina) and public events like Pint of Science, addressing ethical AI and bias.