Daniel Povedano Álvarez received his Computer Science Engineering degree from the Universidad Complutense de Madrid in 2017 and is now pursuing a Ph.D. in Data Science at the Universidad Complutense de Madrid. He completed a Master’s degree in Data Science in 2021. He works as a researcher at the Complutense Research Group GASS (Group of Analysis, Security and Systems), where he has participated in several European research projects. His research topics mainly include: machine learning, computer vision, generative AI, computer forensics, cybersecurity, and cyberdefense.