Dr. Netzahualcoyotl Hernandez-Cruz

Dr Netzahualcoyotl Hernandez-Cruz (Netza) specialises in computing research for global health technologies, focusing on ubiquitous and pervasive computing for early disease detection and prevention. He earned a Bachelor of Information Technology with honours from the National Technological Institute of Mexico (2009), followed by a Master’s in Computer Science from CICESE (2014) and a PhD in Computer Engineering from Ulster University (2021). He later joined the University of Oxford as a Postdoctoral Research Fellow at the Institute of Biomedical Engineering. In 2023, he was endorsed by Mexico’s National Council of Science and Technology and in 2024 by the UK’s Royal Academy of Engineering. Netza’s interest integrates principles from ubiquitous and pervasive computing with AI, transfer learning, and federated learning to develop innovative strategies for automating diagnostics and improving healthcare accessibility. His work bridges research and real-world application, developing scalable, user-friendly medical AI tools in collaboration with stakeholders. Through his interdisciplinary approach, he contributes to the next generation of global health technologies, ensuring AI-driven medical advancements are accessible and transformative worldwide.