Citations and socials

José F. Torres Maldonado received the Degree of Computer Science (2017) and a Master Degree of Computer Science from Pablo de Olavide University, Seville, Spain (2018). He received his Ph.D. in Computer Science at Pablo de Olavide University in March 2022, where he currently is an Assistant Teacher. He also works as Assistant Teacher at Universidad Nacional de Educación a Distancia (UNED). Furthermore, he is currently an invited teacher in two master degrees: “Máster Universitario en Inteligencia Artificial” at  the Spanish Association for Artificial Intelligence (AEPIA), and “Mestrado das Internet dais Cosas” at Instituto Politécnico de Beja (Portugal). His research focuses on Big Data, Time Series forecasting, Artificial Intelligence and Deep Learning techniques.

He’s the author of 10 articles in international journals indexed in the JCR (Q1 and Q2) and author of 8 articles in international conference. In addition, he has also been a reviewer in many international conferences, including IEEE International Conference on Data Science and Advanced Analytics (DSAA), Conference on Health Information Science (HIS), International Conference Soft Computing and Pattern Recognition (SoCPaR), or International Conference on Pattern Recognition Applications and Methods (ICPRAM), among others.

His research activity is developed in the Data Science & Big Data Lab, having participated in several public/private projects, highlighting four of them: “Big Data Streaming: Análisis de datos masivos continuos. Modelos predictivos” and “Big Time-Aware Data: Análisis de datos masivos indexados en el tiempo”, both founded by the Spanish Ministry of Economy and Competitiveness, “CONBIDA: Construcción basada de big data: modelos predictivos para la transformación digital de procesos en la construcción”, co-founded by DETEA and “ANAMERLEC: Análisis de datos asociados a la predicción del mercado eléctrico”, co-founded by ISOTROL.