We have signed a collaboration agreement with Tribunal Superior de Justicia del Chaco for the development of an IA platform Justicia Eficiente con Inteligencia Artificial (JEIA). Further details in JEIA . December 2025.
We have signed a collaboration agreement with IJ-International Legal Group S. A. for collaboration in developing large language models toos in the legal domain. April 2025.
We have signed a collaboration agreement with Blaquier for the developtment of prediction tools for statistical arbitrage for finantial trading based on the ensemble Kalman filter. April 2025.
We have signed a collaboration agreement with Shipnow S.R.L. for developing machine learning tools for package transport optimization. April 2022 - Renewed in 2024.
We are happy to announce we will be participating as part of a Japanese-Argentinean team in a SATREPS project (JST-JICA, Japan) entitled "Numerical Weather Prediction and Warning Communication System for Densely Populated and Vulnerable Cities".
An inspiring session on Machine Learning for Data Assimilation will be held on-line at the International Symposium of Data Assimilation (ISDA) on December 3, 2021. We call for abstract submission. Deadline October 3. Conveners Nora Schenk, Marc Bocquet, Manuel Pulido, Lars Nerger.
We have signed an exciting collaboration agreement with Legalhub S.A. for developing machine learning tools for risk and responsability assesments. Scholarships will be available for students. Deadline for application submission: 1 May 2021
Potential authors are invited to contribute to the Special Issue of "Atmosphere/MDPI Journal" on "Gravity Waves in the Atmosphere" . Dr Xin Xu (Nanjing University, China), Dr Miguel Teixeira (University of Reading, UK), Dr Manuel Pulido (Universidad Nacional del Nordeste, Argentina, and University of Reading, UK), and Dr Junhong Wei (Sun Yat-sen University, China) are guest-editing this Special Issue of the journal "Atmosphere/MDPI". Deadline for submission: 1 May 2020 (Postponed until 1 November).
Recent publications
Guerrieri, J.M., Pulido, M., Miyoshi, T., Amemiya, A. and Ruiz, J.J., 2026. Localization in the mapping particle filter. Nonlinear Processes in Geophysics, , , 33, 33-49. DOI 10.5194/npg-33-33-2026
Ruscica, R., Salvia, M., Cappelletti, L., Lozza, H., Pulido, M., Obregón, F.M. and Jobbágy, E., 2025. Dinámica del agua subsuperficial durante la sequía 2019-2023 en el sudeste de Córdoba. Meteorologica, , e043-e043. . DOI 10.24215/1850468Xe043
Rosa, S., Pulido, M.A., Ruiz, J.J. and Cocucci, T.J., 2025. Transmission matrix parameter estimation of COVID-19 evolution with age compartments using ensemble-based data assimilation. PloS one, , ,20, p.e0318426. doi: 10.1371/journal.pone.0318426
Vargas F, A. González Coene, G. Escalante, E. Lobón and M. Pulido 2025: The impact of LLaMA fine tuning on hallucinations for name entity extraction in legal documents. SADIO Electronic Journal of Informatics and Operations Research (EJS) , 24 DOI: 10.24215/15146774e068
Obregón F. M., M. Pulido and M. Lucini. 2024: Soil Moisture Estimation in the Argentinian Pampas Using Data Assimilation of SMAP and SMOS Retrievals. 2024 IEEE Biennial Congress of Argentina (ARGENCON), 1 - 8 DOI: 10.1109/ARGENCON62399.2024.10735721
Sacco MA, M Pulido, JJ Ruiz, P Tandeo, 2024: Online machine-learning forecast uncertainty estimation for sequential data assimilation. Quarterly Journal of the Royal Meteorological Society. doi.org/10.1002/QJ.4743 arXiv preprint arXiv:2305.08874
Scheffler G, Carrassi A, Ruiz J, Pulido M, 2022: Dynamical effects of inflation in ensemble-based data assimilation under the presence of model error. Quarterly Journal of the Royal Meteorological Society, ,148, 2368-2383.
doi: 10.1002/qj.4307 arXiv preprint arXiv:2110.06769
Sacco MA, JJ Ruiz, M Pulido, P Tandeo, 2022: Evaluation of Machine Learning Techniques for Forecast Uncertainty Quantification. Quarterly Journal of the Royal Meteorological Society, 148, 3470-3490. doi 10.1002/qj.4362 arXiv preprint arXiv:2111.14844
Cocucci T, M Pulido, J Aparicio, J Ruiz, I Simoy, S Rosa, 2022: Inference in epidemiological agent-based models using ensemble-based data assimilation. PLoS ONE , 17, e0264892. doi 10.1371/journal.pone.0264892
Evensen G, J Amezcua , M Bocquet , A Carrassi, A Farchi , A Fowler , PL Houtekamer, CK Jones , RJ de Moraes, M Pulido , C Sampson, and FC Vossepoel, 2021: An international assessment of the COVID-19 pandemic using ensemble data assimilation. Foundations of Data Science . 3 , 413-477. doi: 10.3934/fods.2021001
Rodas C. and M. Pulido, 2021: Gravity wave focusing on the Antarctic polar vortex using Gaussian beam approximation in horizontally nonuniform flows Journal of Atmospheric Sciences, 78, 3836-3853 doi 10.1175/JAS-D-21-0066.1
Lucini, M.M., van Leeuwen, P.J. and Pulido, M., 2021. Model uncertainty estimation using the expectation maximization algorithm and a particle flow filter. SIAM Jornal of Uncertainty Quantification, 9 , 681-707. doi:10.1137/19M1297300 arXiv preprint arXiv:1911.01511
Program committee - AGU Chapman Conference: Atmospheric Gravity Waves and Their Effects on General Circulation and Climate. Feb 2011. Honolulu, Hawaii (USA).
Scientific Committee. CLIVAR VAMOS Workshop on Modeling and Predicting Climate in the Americas. 4-6 June 2012. Petropolis, Brasil.
Scientific Committee. Workshop on Gravity Wave Dynamics and Interactions between Gravity Waves and Turbulence in the ABL. 18-22 July 2012, NCAR, Boulder Colorado (USA).
Invited speaker. Exploring the use of data assimilation methods for the detection and attribution of climate change (DADA) workshop. October 15-18,2012. Buenos Aires (Argentina).
Organizing Committee. A regional WCRP/SPARC Workshop with focus on the Southern Hemisphere and South America. November 26-27 , 2012. Buenos Aires (Argentina).
Invited speaker. XIX Conference on Nonequilibrium Statistical Mechanics and Nonlinear Physics (Medyfinol 2016). Valdivia Chile. 5-9 Dec 2016.
Keynote speaker. ISDA 2018. 6th International Symposium of Data Assimilation. Munich, Germany. 5-9 March 2018.
Scientific Committee. 11th International Conference on Nonlinear Mathematics and Physics. Malaga (Spain). June 2018.
Colaborators (with joint publications)
Pierre Tandeo IMT, Brest France
Juan Ruiz, CIMA-IFAECI, Universidad de Buenos Aires, Argentina.
John Thuburn, University of Exeter, UK.
Takemasa Miyoshi, Riken, Japan.
Marc Bocquet, Universite Le Ponts Paris, France.
Alberto Carrassi, NANSEN Center, Norway.
Peter Jan van Leeuwen, Colorado State University, US.
Saroja Polavarapu, Department of Physics, University of Toronto and Environment Canada.
Ted Shepherd, Department of Physics, University of Toronto, Canada (now at University of Reading UK).
Francois Lott LMD, Escola Normale Superiore, Paris, France.
Hector Teitelbaum, LMD, Escola Normale Superiore, Paris, France.
George Chimonas, DEAS, Georgia Tech US.
Contact
Facultad de Ciencias Exactas
Universidad Nacional del Nordeste
Av. Libertad 5400
(3400) Corrientes
Argentina
+54 379 4473931 Ext 132