Francisco Javier Andreo Oliver

Francisco Javier Andreo-Oliver is an early-career researcher specializing in microelectronics and energy-efficient circuits for machine learning applications. His academic journey includes a double degree program with an international exchange at Kaunas University of Technology in Lithuania, where he developed his passion for research in international academic environments. Later on, concluded his Master's degree in Microelectronics from the University of Seville and the Institute of Microelectronics of Seville (IMSE). Currently, he is working on an R&D project focused on energy and bandwidth-efficient circuits for machine learning algorithms, with several peer-reviewed articles under review, while pursuing a PhD in Universidad Politécnica de Cartagena. My Bachelor's thesis examined smart material-based actuators for surgical forceps, supervised by faculty from both Universidad Politécnica de Cartagena and Kaunas University of Technology. Beyond research, I served as Programming Coordinator for UPCT Makers, a student association focused on 3D printing, robotics, and scientific outreach, where I mentor new members and coordinate projects related to Sustainable Development Goals. He actively participates in international collaborations through the European University of Technology (EUT+) consortium, including a recent course in "Baxter Robot Revival by Deep Learning Application" in Riga, Latvia, strengthening his commitment to collaborative research in technology and engineering.