Iker Ceballos

Iker Ceballos is a Machine Learning Engineer at Acuratio since July 2017, specializing in Federated Learning, a collaborative machine learning approach that ensures data privacy. Previously, Iker worked at FARSENS as an Electronic Engineer, focusing on energy harvesting systems and the industrialization of RFID sensor prototypes. Iker also gained experience as a Software Engineer at Enigmedia, where involvement in the development of communication systems for R&D was key, and in an internship role at Universidad de Navarra, worked on a microrobot project. Iker holds a Master's degree in Industrial Engineering and a Master's Thesis in Mechatronics, Robotics, and Automation Engineering from the University of Navarra and Aalborg University, respectively, along with dual Bachelor's degrees in Electrical and Electronics Engineering and Industrial Engineering from the University of Navarra.