Results

Journal Papers and Book Chapters

  1. Camacho, J. A Set of Rules for Model Validation. Journal of Chemometrics, , 40(2):e70110. Published version
  2. Villar-Argaiz, M., Biddanda, B., Camacho, J. Beyond global means: Ice cover and topography drive rapid warming in Mediterranean high-mountain lakes. Submitted to Limnology and Oceanography Letters, .
  3. Vallejo-España, D., García Sánchez, J., Villar-Argaiz, M., De Linares, C., Camacho, J. Modeling cyclostationarity in time series using ASCA. Submitted to Chemometrics and Intelligent Laboratory Systems, . Open version
  4. Al Khafaji, A., Vallejo-España, D., Gómez-Llorente, C., Camacho, J. A Realistic Simulation Framework for Evaluating Microbiome Normalization in Sample Stratification and Taxa-Level Analysis. Submitted to Frontiers in Bioinformatics, .
  5. Camacho, J., Vallejo-España, D., Madariaga, D., Fiore, M. 𝜇3STA: Multivariate, Multiway and Multiscale Spatio-Temporal Analysis. Submitted to Technometrics, .
  6. 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
  7. 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, .
  8. 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
  9. Armstrong, M.S. Frequency-Domain Alignment of Heterogeneous, Multidimensional Separations Data Through Complex Orthogonal Procrustes Analysis. Journal of Chemometrics, , 39(7):e70042. Published version
  10. 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. Published version
  11. 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. Published version
  12. Armstrong, M.S., Camacho, J. An alignment-agnostic methodology for the analysis of designed separations data. Journal of Chemometrics, , 39(2):e70002. Published version
  13. 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. Published version
  14. Camacho, J., Ezenarro, J., Schorn-García, D., Westerhuis, J.A. From design of experiments to analysis of variance of multivariate data: a tutorial review on ANOVA simultaneous component analysis. Submitted to Journal of Chemometrics, . Open version

International Conferences

  1. Vallejo-España, D., García Sánchez, J., Villar-Argaiz, M., De Linares, C., Camacho, J. Modeling cyclostationarity in time series with ANOVA Simultaneous Component Analysis. Chemometrics in Analytical Chemistry (CAC 2026), Tarragona (Spain), .
  2. Camacho, J. A comparison of methods for statistical inference and biomarker discovery in complex omics studies. Chemometrics in Analytical Chemistry (CAC 2026), Tarragona (Spain), .
  3. 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), .
  4. Camacho, J., Madssen, T., González, C., Díaz, C., Sánchez-Rovira, P. Nesting the individual in Repeated Measures models with ASCA+. XII Colloquium Chemiometricum Mediterraneum, Porquerolles (France), .
  5. Armstrong, M.S., Camacho J., Pérez Girón J.C., Zamora, R. Frequency-Domain Analysis and Factorization of Designed, Irregular Weather Station Data. Spatial Statistics 2025: At the Dawn of AI, Noordwijk (Netherlands), . Open version
  6. Camacho, J. White Box Machine Learning for Data Exploration. Advances and Challenges of AI. IITIS-PAN & Academia Europaea, Paris (France), .
  7. 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), .
  8. 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), .
  9. Camacho, J. Group-wise models for data interpretation. Invited Talk. Trends in Chemometrics, Tortosa (Spain), .
  10. 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), .
  11. Camacho, J. Data Quality. The Key to Automation. Invited Talk. Joint Lincs / Sorbonne University / Grifin Workshop on AI, Networks & Cybersecurity, Paris (France), .
  12. 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
  13. 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 (Netherlands), . Open version
  14. 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 (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 3: Data Management Plan (Spanish) Last modification: 28/04/2026
  2. Deliverable 4: Quality Assurance & Risk Management Plan (Spanish) Last modification: 28/04/2026
  3. Deliverable 5: Web page Last modification: 13/01/2025

Science communication

  1. Camacho, J. Invited presentation. Patient Stratification and Biomarker Discovery in Omics Data. "Innovators in Analytical Sciences" Webinar. .
  2. Camacho, J. Invited presentation. All Sparse PCA models are wrong, but some are useful. "Rasmus Bro Monday" Webinar. .
  3. Camacho, J. Multivariate Statistics for Deciphering Data in Modern Science. Lecture series: Statistics and Data Science for Society. .
  4. Armstrong, M.S. When does science fail? European Researchers' Night. Granada (Spain), .
  5. García Sánchez, J. Spatio-temporal decisions. European Researchers' Night. Granada (Spain), .
  6. Camacho, J. Biomarker Identification in Big Data using Computational Models. Ricors-Samid Research Seminars. .
  7. Camacho, J. Round Table: Data Science for the Industry of the Future. XXXVIII National Chemical Engineering Conference. .
  8. García Sánchez, J. Spatio-temporal decisions. Engineering Fair. 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.”
  • Excellence in Technical Communication Student Prize Award, IEEE Geoscience and Remote Sensing Society, 2025, Jesús García Sánchez.
    View description
    First place among 101 participants in the Three Minute Thesis competition at International Geoscience and Remote Sensing Symposium (IGARSS 2025) in Brisbane, Australia.

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.