Fitxa persona

Joan Vila Francés is an Associate Professor at the Department of Electronic Engineering, Universitat de València, Spain, a position he has held since 2017. His teaching focuses on the undergraduate and master's programmes in Data Science, with particular emphasis on natural language processing techniques. With an h-index of 20 and a total of 2440 citations, he has published 43 peer-reviewed articles indexed in JCR, including 20 in Q1 journals. His latest publications focus on artificial intelligence and data analysis applications, such as predictive maintenance in packaging industries, verbal fluency studies in mental health disorders, and crowd anomaly detection using multimodal video analysis, published in high-impact journals like Applied Sciences and the Journal of Psychiatric Research. Currently, he leads several significant projects, including a European Union-funded initiative on AI and robotics for smart cities and a Spanish Ministry of Science project on deep learning for unstructured data analysis. With extensive experience in research and industry collaborations, he has been the principal investigator for numerous projects, including partnerships with Fresenius Medical Care and Petrogas-GALP. Joan Vila Francés is also recognized for his contributions to academia and society, including co-founding a pharmaceutical spin-off leveraging AI in clinical settings and receiving the National Award for Career Excellence during his studies.

Recent publications:
Chilet-Martos, E., Vila-Francés, J., Bagan, J. V., & Vives-Gilabert, Y. (2025). Automated classification of oral cancer lesions: Vision transformers vs radiomics. Computers in Biology and Medicine, 170, 109913. (https://doi.org/10.1016/j.compbiomed.2025.109913)
Gomis-Maya, A., Cerdá-Alberich, L., Veiga-Canuto, D., Claudio-Fanni, S., Ten-Steve, A., Ribas-Despuig, G., Mallol-Roselló, P. J., Vila-Francés, J., & Martí-Bonmatí, L. (2025). Automatic magnetic resonance imaging series labelling for large repositories. Journal of Big Data, 12, Article 86. (https://doi.org/10.1186/s40537-025-01086-w)
Mateo, F., Vila-Francés, J., Soria-Olivas, E., Martínez-Sober, M., Gómez-Sanchis, J., & Serrano-López, A. J. (2025). Dynamic classifier auditing by unsupervised anomaly detection methods: An application in packaging industry predictive maintenance. Applied Sciences, 15(2), Article 882. (https://doi.org/10.3390/app15020882)
Dionis-Ros, A., Vila-Francés, J., Magdalena-Benedito, R., Mateo, F., & Serrano-López, A. J. (2024). Multimodal video analysis for crowd anomaly detection using open access tourism cameras. Applied Sciences, 14(23), Article 11075. (https://doi.org/10.3390/app142311075)
Luperdi, S. C., Correa-Ghisays, P., Vila-Francés, J., Selva-Vera, G., Livianos, L., Tabarés-Seisdedos, R., & Balanzá-Martínez, V. (2024). Verbal fluency in schizophrenia and bipolar disorder: A longitudinal, family study. Journal of Psychiatric Research, 174, 185–193.(https://doi.org/10.1016/j.jpsychires.2024.07.056)