Results

Journal Papers and Book Chapters

  1. Camacho, J. A Set of Rules for Model Validation. Accepted in Journal of Chemometrics, .
  2. Fakhruzi, I., Titos, M., Benítez, C., García, L. Distributed Acoustic Sensing for Urban Traffic Monitoring: Spatio-Temporal Attention in Recurrent Neural Networks. Submitted to IEEE Transactions on Intelligent Transportation Systems, . Open version
  3. Ferrer-Aguilar, P., Polushkina-Merchanskaya, O., Fernandez-Gonzalez, S., Pérez-Cruz, M., Casas, I., Gómez-Roig, M.D., Camacho, J., Gómez-Llorente, C. Comparative Analysis of Blood Inflamatory Profile and Microbiota in Late-fetal Growth Restriction vs. Normal Pregnancy. Submitted to BMC Pregnancy and Childbirth, .
  4. Pérez-Peñalver, M.J., Lee, S.-W., Jordán, C., Sanabria-Codesal, E., Morillas, S. A new iterative inverse display model. Displays, , 92:103342. Published version
  5. Armstrong, M.S. Frequency-Domain Alignment of Heterogeneous, Multidimensional Separations Data Through Complex Orthogonal Procrustes Analysis. Journal of Chemometrics, , 39(7):e70042. Published version
  6. Camacho, J., Smilde, A.K., Saccenti, E., Westerhuis, J., Bro, R. All sparse PCA models are wrong, but some are useful. Part III: Model interpretation. Chemometrics and Intelligent Laboratory Systems, , 266(15):105498. Open version Published version
  7. Camacho, J., Armstrong, M.S., García-Martínez, L., Díaz, C., Gómez-Llorente, C. Single-cell spatial (scs) omics: Recent developments in data analysis. TrAC Trends in Analytical Chemistry, , 183:118109. Open version Published version
  8. Armstrong, M.S., Camacho, J. An alignment-agnostic methodology for the analysis of designed separations data. Journal of Chemometrics, , 39(2):e70002. Open version Published version
  9. Polushkina-Merchanskaya, O., Armstrong, M.S., Gómez-Llorente, C., Ferrer, P., Fernandez-Gonzalez, S., Perez-Cruz, M., Gómez-Roig, M.D., Camacho, J. Considerations for missing data, outliers and transformations in permutation testing for ANOVA with multivariate responses. Chemometrics and Intelligent Laboratory Systems, , 258:105320. Open version Published version

International Conferences

  1. Armstrong, M.S., Camacho, J. Parallelization of the Direct, Interpolative Non-Uniform Fast Fourier (NFFT) Transform for Imputation of Missing Values for Periodic Signals. 2026 SIAM Conference on Parallel Processing for Scientific Computing, Berlin (Germany), .
  2. Camacho, J. White Box Machine Learning for Data Exploration. Advances and Challenges of AI. IITIS-PAN & Academia Europaea, Paris (France), .
  3. Bevilacqua, M., Camacho, J., Smilde, A.K., Tomasi, G. A rigorous Sparse-PLS workflow using multiple imputation of missing values. 19th Scandinavian Symposium on Chemometrics, Keflavik (Iceland), .
  4. Madssen, T.S., Smilde, A.K., Camacho, J., Jarmund, A.H., Westerhuis, J., Giskeødegård, G.F. Statistical validation of multivariate treatment effects in longitudinal study designs. 19th Scandinavian Symposium on Chemometrics, Keflavik (Iceland), .
  5. Camacho, J. Group-wise models for data interpretation. Invited Talk. Trends in Chemometrics, Tortosa (Spain), .
  6. Camacho, J., Smilde, A.K., Saccenti, E., Westerhuis, J., Bro, R. All Sparse PCA Models Are Wrong, But Some Are Useful. 19th Scandinavian Symposium on Chemometrics, Keflavik (Iceland), .
  7. Camacho, J. Data Quality. The Key to Automation. Invited Talk. Joint Lincs / Sorbonne University / Grifin Workshop on AI, Networks & Cybersecurity, Paris (France), .
  8. García Sánchez, J., García, L., D'Auria, L., Fernández-Carabantes, J., Benítez Ortúzar, C., Camacho, J. Volcanic eruption forecast using PCA. IEEE International Geoscience and Remote Sensing Symposium 2025, Brisbane (Australia), . Open version
  9. García Sánchez, J., Camacho, J., García, L., Sorochan Armstrong, M. Multivariate exploratory data analysis of spatio-temporal data using data fusion, FFT and component models. Spatial Statistics 2025: At the Dawn of AI, Noordwijk (The Netherlands), . Open version
  10. Camacho, J., Madariaga, D., Morales, D. Extending ANOVA Simultaneous Component Analysis (ASCA) for the analysis of massive spatio-temporal data. Spatial Statistics 2025: At the Dawn of AI, Noordwijk (The Netherlands), .

National and Regional Conferences

  1. Vallejo-España, D., Villar-Argaiz, M., Camacho, J. Modeling cyclostationarity in time series with ASCA. CITIC-Coffee 2025, Granada, .
  2. García-Sánchez, J., Camacho, J., García L., Benítez-Ortúzar, C., D'Auria, L. Forecasting volcanic eruptions using interpretable multivariate analysis. CITIC-Coffee 2025, Granada, .

Deliverables

  1. Deliverable 5: Web page Last modification: 13/01/2025

Science communication

  1. Armstrong, M.S. When does science fail? European Researchers' Night. Granada (Spain), .
  2. García Sánchez, J. Spatio-temporal decisions. European Researchers' Night. Granada (Spain), .

Videos

  1. Taller divulgativo: Decisiones espacio-temporales Recording of the science communication workshop "Decisiones espacio-temporales" . Performed the 9th of April 2025 for a group of highschool students
  2. Three Minute Thesis (3MT) Winner at IGARSS 2025 Three Minute Thesis winning presentation at the IEEE International Geoscience and Remote Sensing Symposium 2025 in Brisbane, Queensland.
  3. Coloquium Chemometricum Mediterraneum 2025 presentation presentation of José Camacho at The Coloquium Chemometricum Mediterraneum 2025.

Awards

  • Premio Ingenio Junior 2025, COITTA/AAGIT, 2026, Lucía Fernández Carrascosa.
    View description
    The Ingenio Junior Awards 2025, granted by the Official Association of Telecommunications Engineers of Andalusia (COITTA) and the Andalusian Association of Graduates and Engineers in Specific Telecommunications Technologies (AAGIT), recognize the best final degree projects developed at Andalusian universities and related to the field of telecommunications engineering. The main prize went to Lucía Fernández Carrascosa for her final degree project entitled “Monitoring urban traffic using distributed acoustic sensors.”

Theses

PhD Thesis
  • Jesús García Sánchez. Multivariate data analysis of spatio-temporal data using data fusion, FFT and component models. Supervision: J. Camacho. Universidad de Granada. In progress.
  • Amen Adnan Khabeer Al-khafaji. Assessment of the Metagenomics Analysis Pipeline. Supervision: J. Camacho and C Gómez-Llorente. Universidad de Granada. In progress.
  • Daniel Vallejo España. Component-Based Methods for Multivariate Analysis in Single-Cell Spatial Omics. Supervision: J. Camacho. Universidad de Granada. In progress.
  • Izhan Fakhruzi. Distributed Acoustic Sensing System for Urban Traffic Monitoring Using Machine Learning Methods. Supervision: Luz García, Manuel Titos. Universidad de Granada. In progress.
MSc Thesis
  • Álvaro Herraiz García. Analysis of Gender Biases in AI training models. Supervision: J. Camacho. Universidad de Granada. 2025.
BSc Thesis
  • Santiago Hernández Hernández. Multivariate Exploratory Data Analysis of Seismic Data. Supervision: J. Camacho and J. García. Universidad de Granada. 2025.
  • Guillermo Ramblado Carrasco. Deep Reinforcement Learning for Autonomous Networks. Supervision: J. Camacho. Universidad de Granada. 2025.
  • Daniel Alconchel. Development of the VASCA algorithm in R. Supervision: M.S. Armstrong, J. Camacho. Universidad de Granada. 2025.
  • Lucía Fernández Carrascosa. Urban traffic monitoring using Distributed Acoustic Sensing. Supervision: Luz García. Universidad de Granada. 2025.