Juan José Londoño Cárdenas is a Ph.D. student under the supervision of Juan Manuel Montero Martínez and Javier Ferreiros López at the Universidad Politécnica de Madrid (UPM), Spain. He received both a Bachelor’s degree in Electrical Engineering in 2022 and a Master’s degree in Electrical Engineering in 2025, both from the Universidad Tecnológica de Pereira (UTP), Colombia. He has specialized in interpretability, explainability, and black-box analysis of deep neural networks. Prior to joining UPM, he collaborated with research groups at UTP, including the Gestión de Sistemas Eléctricos, Electrónicos y Automáticos (GIGSEEA) and the Análisis de Datos y Sociología Computacional (GIADSc). He also served as a lecturer in the Department of Electrical Engineering at UTP.
Juan José is currently pursuing his doctoral research focused on the study and development of conversational architectures oriented toward industry applications, combining trustworthiness, interpretability, explainability, and adaptation. In particular, his current efforts address the opacity reduction of large language model inference, interaction control and model evaluation.
Email: juan.londono@upm.es
Office: B-039H
Phone:
Dpto. Ingeniería Electrónica. E.T.S.I. Telecomunicación. Universidad Politécnica de Madrid. Ciudad Universitaria s/n. 28040-MADRID-SPAIN.
