Dr. Himar Fabelo received their Telecommunication Engineering and the M.Sc. and Ph.D. degrees in telecommunication technologies from the University of Las Palmas de Gran Canaria (ULPGC), Spain, in 2013, 2014, and 2019, respectively. Since then, he conducted his research activity in the Institute for Applied Microelectronics (IUMA), ULPGC, in the field of electronic and bioengineering. In 2015, he started to work as a coordination assistant and researcher in the HELICoiD (618080) European project, co-funded by the European Commission (EC). In 2022, he started to work at the Fundación Canaria Instituto de Investigación Sanitaria de Canarias (FIISC) with a Juan De La Cierva grant. In 2024, he started to work as co-principal investigator of the STRATUM (101137416) European project at FIISC, funded by the EC. He has published more than 50 journal papers, 60 international conference papers, 4 book chapters, and holds one international patent (WO2018095516A1). His research interest areas include the use of machine learning and deep learning techniques applied to hyperspectral images to discriminate between healthy and tumor tissue in real-time during surgery and for early cancer detection and screening.