Oscar Jose Pellicer ValeroView profile
Researcher
Oscar Jose Pellicer Valero is a researcher at the Universitat de València, affiliated with the School of Engineering and the Department of Electronic Engineering. He is a member of the Intelligent Data Analysis Laboratory (IDAL) and the Image Processing Laboratory (IPL), both part of the ERI research institute. He completed his PhD in 2022 with a thesis on biomechanical modeling and machine learning for medical image registration in prostate cancer therapy. His research spans artificial intelligence applied to both biomedical and environmental challenges. Key areas include post-COVID syndrome analysis, medical image processing, digital twins of Earth, and extreme climate event modeling. He develops AI-driven tools for data analysis, such as the AIDE and XAIDA4Detection toolboxes, contributing to both healthcare and environmental science. His recent publications (2023–2025) show a strong trend in applying deep learning and AI to understand complex systems—ranging from human health (e.g., long-COVID symptoms, fibromyalgia, renal function) to Earth system science (e.g., fog nowcasting, compound droughts). The interdisciplinary nature of his work bridges medicine, engineering, and climate science. Oscar has not yet received any explicitly mentioned scientific awards. However, his high publication output and involvement in multicenter studies (e.g., LONG-COVID-EXP) indicate active research leadership. He has not supervised any students listed in the data, but his role as a postdoctoral researcher suggests future advising responsibilities. He is involved in software development for scientific applications and contributes to open data and tool dissemination. His work is increasingly focused on explainable AI and digital twins, reflecting emerging trends in trustworthy and human-centered AI systems.
