معرفی
Luis Usero Aragonés is a Professor at the Department of Computer Science at Universidad de Alcalá (UAH). He is affiliated with research groups including CSRG-UAH (Cognitive Science Research Group) and previously HCIS (Health computing and Intelligent Systems). His research focuses on computational intelligence applied to wildfire prevention, computer vision technologies, and educational software development. He holds a PhD from UAH on computational intelligence techniques for monitoring forest fuel moisture using satellite imagery.
His academic background includes work in neural networks, machine learning, and cloud governance frameworks for higher education institutions. Notable contributions include development of the LearningRlab educational R package, drone detection algorithms using thermal imaging, and outlier detection models for wind tunnel sensor data.
Publications span topics such as semi-supervised video segmentation, R package comparisons for text mining, and trust models in e-commerce systems. His research integrates contextual information analysis for applications in health informatics, aviation systems, and library user guidance.
