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Antonio Alguacil Cabrerizo

Professeur, Faculté de génie
FGEN Département de génie mécanique

Présentation

Sujets, disciplines ou intérêts de recherche

Computational Fluid Mechanics, Aeroacoustics, Deep Learning for Physics

Diplômes

  • (2018-2022). Doctorat en Génie Mécanique. Département de Génie Mécanique. Université de Sherbrooke. Sherbrooke, Quebec, Canada.
  • (2018-2022). PhD in Fluid Dynamics. Départment Aérodynamique, Énergétique et Propulsion. Institut Superieur de l'Aeronautique et de l'Espace (ISAE-SUPAERO). Toulouse, Occitanie, France.
  • (2016-2018). MSc in Aerospace Engineering. Institut Superieur de l'Aeronautique et de l'Espace (ISAE-SUPAERO). Toulouse, Occitanie, France.
  • (2012-2016). Bachelor in Aerospace Engineering. Escuela Técnica Superior de Ingeniería Aeronáutica y del Espacio, ETSIAE. Universidad Politécnica de Madrid. Madrid, Madrid, Espagne.

Expériences académiques

  • Assistant Professor. (2025-). Université de Sherbrooke. Sherbrooke, Quebec, Canada.
  • Postdoctoral fellow. (2022-2025). Université de Sherbrooke. Sherbrooke, Quebec, Canada.
  • PhD Student. (2020-2022). Université de Sherbrooke. Sherbrooke, QC, Canada.
  • PhD Student. (2018-2020). ISAE-SUPAERO. Toulouse, Midi-Pyrénées, France.

Prix et distinctions

  • (2022) Graduate Scholarship Award. CFD Society of Canada (CFDSC).
  • (2021) Bourse Eurêka. Université de Sherbrooke.

Financement

  • Subvention. Starting Fund. Université de Sherbrooke (Sherbrooke, Canada). Starting Fund. 70 000 $. (2025-2028).
  • Subvention. Improvement and interpretation of artificial neural networks for the prediction of the wall pressure spectrum in aerodynamic profiles. Acoustic Research Center of Université de Sherbrooke (CRASHUdS) (Sherbrooke, Canada). Aide Agile d’Amorçage (A3). 8 000 $. (2025-2026).

Publications

Articles

  • Antonio Alguacil, Michael Bauerheim, Marc C. Jacob, Stéphane Moreau. (2022). Deep Learning Surrogate for the Temporal Propagation and Scattering of Acoustic Waves. AIAA Journal. DOI
  • Gonçalves Pinto, Wagner, Alguacil, Antonio, Bauerheim, Michaël. (2022). On the reproducibility of fully convolutional neural networks for modeling time-space-evolving physical systems. Data-Centric Engineering. DOI
  • Antonio Alguacil, Michaël Bauerheim, Marc C. Jacob, Stéphane Moreau. (2021). Predicting the propagation of acoustic waves using deep convolutional neural networks. Journal of Sound and Vibration. DOI
  • Alguacil, Antonio, Jardin, Thierry, Gourdain, Nicolas. (2020). Fluid–structure interactions and unsteady kinematics of a low-reynolds-number rotor. AIAA Journal. DOI

Chapitres de livre

  • Antonio Alguacil, Wagner Gonçalves Pinto, Michael Bauerheim, Marc C. Jacob, Stéphane Moreau. (2021). Effects of Boundary Conditions in Fully Convolutional Networks for Learning Spatio-Temporal Dynamics. DOI

Articles de conférence

  • Arroyo Ramo, Andrea, Alguacil, Antonio, Bauerheim, Michaël, Moreau, Stephane, Jacob, Marc C. (2024). Artificial Neural Networks Prediction of Wall-Pressure Spectrum. DOI
  • Alguacil, Antonio, Bauerheim, Michaël, Moreau, Stephane, Lavoie, Pierre, Bolduc-Teasdale, François. (2024). Data-Driven Acceleration and Sensitivity Study of an Acoustic Cascade Response Model. DOI
  • Saraceno, Ivan, Paruchuri, Chaitanya, Ganapathisubramani, Bharathram, Alguacil, Antonio, Moreau, Stephane, Sanjose, Marlene. (2024). On the Numerical Investigation of the Tip Leakage Noise Sources of a Stationary Aerofoil. DOI
  • Alguacil, Antonio, Becherucci, Lorenzo, Sanjosé, Marlène, Moreau, Stéphane. (2023). Broadband Noise of the Transonic RAE 2822 Airfoil. AIAA AVIATION 2023 Forum. DOI
  • Alguacil, Antonio, Bauerheim, Michaël, Jacob, Marc C., Moreau, Stéphane. (2023). Correcting the Prediction of Noise Scattering at Sharp Edges for a Spatio-Temporal Deep Learned Acoustic Surrogate. DOI
  • Alguacil, Antonio, Becherucci, Lorenzo, Sanjosé, Marlène, Moreau, Stéphane. (2023). Investigating the noise sources of the transonic RAE 2822 airfoil. Progress in Canadian Mechanical Engineering. Volume 6. DOI
  • Alguacil, Antonio, Bauerheim, Michaël, Becherucci, Lorenzo, Jacob, Marc C., Moreau, Stéphane. (2022). Predicting the sound refraction on shear layers with deep neural networks. DOI
  • Alguacil, Antonio, Bauerheim, Michaël, Jacob, Marc C., Moreau, Stéphane. (2021). A generic deep learning framework for propagation and scattering of acoustic waves in quiescent flows. DOI
  • Alguacil, Antonio, Bauerheim, Michaël, Jacob, Marc C., Moreau, Stéphane. (2020). Predicting the Propagation of Acoustic Waves using Deep Convolutional Neural Networks. DOI
  • Ajuria Illarramendi, Ekhi, Alguacil, Antonio, Bauerheim, Michaël, Misdariis, Antony, Cuenot, Benedicte, Benazera, Emmanuel. (2020). Towards an hybrid computational strategy based on Deep Learning for incompressible flows. DOI
  • Alguacil, Antonio, Jardin, Thierry, Gourdain, Nicolas. (2018). Implementation of aero-elastic capabilities in a LBM flow solver: Application to a low-reynolds rotor for micro-air vehicles.

Autres contributions

Cours enseignés à l'UdeS

  • GMC767 - Introduction à la mécanique des fluides numérique. (2026). (3CR).
  • ING100 - Algèbre linéaire. (2026). (3CR).
  • AMC702 - Propulsion d’aéronef. (2025). (3CR).
  • GMC705 - Étude spécialisée III. (2025). (3CR).

Activités professionnelles

  • Acoustic Research Center of Université de Sherbrooke (CRASH-UdS). Membre du comité stratégique. Sherbrooke, Quebec, Canada. (2025-).