Juan Jesús Losada del Olmo is currently pursuing a Ph.D. in Computer Science at the University of Murcia, Spain. He received both a B.Sc. degree in Mathematics and a B.Sc. degree in Computer Science. He also obtained a M.Sc. degree in New Technologies, specialism in Industrial Informatics. His Ph.D revolves around the application of Machine Learning techniques and the development of Deep Learning models with low training and labeling effort, through images collected with static cameras, in order to promote physical safety and productivity in industrial environments. As a consequence, his primary research interests include, among others, Computer Vision, industrial safety, aggressive data augmentation schemes, transfer learning, zero/few-shot learning and self-supervised learning. Additionally, the Séneca Foundation together with the company Bleecker Technologies S.L. are funding the advancement of his thesis.