IMDEA Networks will attend the Try IT! congress organized by DA-ETSIINF in collaboration with ACM-UPM and the ETSI Informáticos and held from March 13rd to 17th at the Escuela Técnica Superior de Ingenieros Informáticos of the Universidad Politécnica de Madrid, at the Montegancedo Campus. It is a congress aimed at disseminating current technological trends.
Juan Marcos Ramírez will give the talk “Artificial Intelligence Explained for Detection and Classification of Mobile Network Performance Anomalies” on March 14 at 15:30. Mobile communication providers, communication equipment manufacturers and regulators frequently monitor wireless networks in order to identify anomalous operating scenarios that could affect the quality of Internet service. In this regard, the detection and classification of performance anomalies in mobile networks has become a challenging task due to the complexity of the data distributions and the lack of interpretability of the models used. Consequently, our work at IMDEA Networks has focused on the proposal, development, and implementation of an unsupervised anomaly detection and classification methodology based on data cleaning and explainable machine learning models.
Juan Marcos Ramírez Rondón received the B.S. diploma in electrical engineering, the Master’s degree in biomedical engineering, and the Doctor’s degree in applied sciences at the Universidad de Los Andes (ULA), Mérida, Venezuela, in 2002, 2007, and 2017, respectively. In 2004, He joined as a teaching and research staff of the Electrical Engineering Department at ULA, Venezuela. He worked as a postdoctoral intern at the High Dimensional Signal Processing (HDSP) Group, Universidad Industrial de Santander, Colombia (2017-2019). He also worked as Marie Curie Postoctoral fellow at the Universidad Rey Juan Carlos (2017-2019). Currently, he is working as a Postdoctoral Researcher at IMDEA Networks Institute.