CUEVAS TELLO, JUAN CARLOS

He is a full-time research professor at the Engineering Faculty – Universidad Autonoma de San Luis Potosi (UASLP) in Mexico. He received his MSc in Computer Science (Artificial Intelligence) from Universidad Nacional Autonoma de Mexico (UNAM) in 2001. He obtained his PhD in Computer Science and Artificial Intelligence at the University of Birmingham (UK) in 2007. He is member of the National Research System (known as SNI), level 1. He is leader of the consolidated research group Intelligent Systems and Cybersecurity. He is paper reviewer of Neural Networks, Pattern Recognition journals (both from Elsevier) and IEEE Access. His main research areas include Data Mining, Machine Learning, Pattern Recognition, Artificial Neural Networks, Evolutionary Computation, Computer Vision, Deep Learning, High Performance Computing, Bioinformatics and Astroinformatics. The current projects with artificial intelligence includes pattern recognition in time series (astrophysics), algorithms for classification and prediction in health (HIV, influenza, leukemia, etc.), fault diagnosis in batteries with artificial neural networks and computer vision for the automotive industry (industry 4.0) and health (COVIDx dataset).