FRANCISCO DE ARRIBA PEREZ

Francisco de Arriba Perez serves as an Assistant Professor in the Department of Computer Science at the School of Telecommunications Engineering, University of Vigo, where he contributes to the Research Center for Telecommunication Technologies and leads research within the TC1 Group of Information Technologies.

He earned his PhD from the University of Vigo in 2019 with a dissertation titled Application of wrist wearables in educational environments for the characterization of sleep and stress, supervised by Dr. Manuel Caeiro Rodríguez and Dr. Juan Manuel Santos Gago.

His research centers on Explainable Artificial Intelligence and Natural Language Processing, with pioneering applications in mental health monitoring (postpartum depression, anxiety, cognitive decline), wearable technology integration, and real-time stream analysis for social networks and financial systems. He specializes in developing interpretable machine learning frameworks that bridge theoretical AI advancements with practical healthcare implementations, particularly through large language models for clinical decision support.

Analysis of his 15 most recent publications reveals a dominant research trajectory toward healthcare AI (60% of works), with significant contributions to mental health diagnostics using conversational interfaces, followed by applications in social network security (20%) and financial forecasting (20%). His methodology consistently emphasizes explainability, real-time processing, and stream-based adaptation to address data drift challenges.

As an active member of the TC1 Group of Information Technologies, he collaborates on interdisciplinary projects advancing telecommunication technologies and information systems, with recent work exploring robotic avatars for social pilgrimage and accessibility enhancements through wearable computing.