1. J. C. Galvis, An exponential integration generalized multiscale finite element method for parabolic problems,  Numerical Analysis Seminar of the Department of Mathematics The University of Hong Kong, Pokfulam, Hong Kong, January 2023.

2. J. de la Puente, "Del interior de la Tierra a la imagen médica: el impacto de la supercomputación en la física aplicada". Talk at Universidad Complutense de Madrid: Hablemos de Física, February 2023.

3. V.M. Calo, L. Espath, N. Labanda, “Dynamic fracture modelling for geological applications,” Workshop MATHGEO2 Mathematical methods for geoenergy applications, U Nottingham, March 2023.

4. V.M. Calo, L. Espath, N. Labanda, “Space & time adaptivity for dynamic fracture modelling,” SIAM Conference on Computational Science and Engineering (CSE23), Amsterdam, March 2023.

5. J. Muñoz-Matute , M. Croci, Exploiting Kronecker sum structure in exponential integrators via quadrature, Talk presented at “the Finite Element Rodeo FE RODEO 23”, Texas A&M, College Station (Texas), March 2023.

1. J. C. Galvis, Multiscale preconditioners for linear elastic topology optimization, "XXIII Simposio Internacional de Métodos Matemáticos Aplicados a las Ciencias (XXIII SIMMAC)", Universidad de Costa Rica, online, Feb. 2022.

2. J. Muñoz-Matute, L. Demkowicz, Combining DPG methods in space and time for transient problems, Talk presented at “the Finite Element Rodeo FE RODEO 22”, South Methodist University, Dallas (Texas), March 4-5, 2022.

3.  N. Gorostidi, V. Nava, A. Aristondo, and D. Pardo, Predictive Maintenance of Floating Offshore Wind Turbine Mooring Lines using Deep Neural Networks, “Wind Europe 2022”, Bilbao, Spain, Apr. 2022. (invited)

4. V.M. Calo, “Multiscale, multiphysics & multiresolution computation in science & engineering (virtual), Seminar ZJ Labs, April 2022.

5. D. Pardo, A. J. Omella, J. M. Taylor, C. Uriarte, J. A. Baranda, and M. Strugaru, Geophysics, Partial Differential Equations, and Deep Learning, Plenary talk at “9o Congreso Metropolitano de Modelado y Simulacion Numerica”, Mexico, May 2022. (invited)

6. Limitations in screening and diagnosis of breast cancer due to breast density, Poster at BioInfo4Women session at BSC, May 2022.

7. M. Abedi, D. Pardo, and A. Stovas, Direct approximation of traveltime derivatives for geometric spreading calculation in layered VTI media, “83 EAGE Annual Conference and Exhibition”, Madrid, Spain, Jun 2022. (invited)

8. V.M. Calo, P. Behnoudfar, L. Espath, N. Labanda “Modelling & simulation of complex dynamics: wave propagation, geological folding, fracturing (keynote),” ESCO 2022, Pilsen, Czechia, June 2022

9. I. Martinez, D. J. Palomar, M. Garate, D. Pardo, A. J. Omella, J. Garcia, and A. Pena, A Multiphysics Approach for Minimizing Losses of a WLTP Driving Cycle, “11th International Conference on Power Electronics, Machines and Drives (PEMD 2022)”, Newcastle University, UK, Jun. 2022. (invited)

10. J. Munoz-Matute, L. Demkowicz, and D. Pardo, Time-marching DPG scheme and adaptivity for transient partial differential equations, “International Conference on Computational Sciences (ICCS 2022)”, London, United Kingdom, Jun 2022. (invited)

11. C. Uriarte, D. Pardo, J. Muñoz-Matute, and I. Muga, An Adversarial Networks approach for solving Partial Differential Equations, “International Conference on Computational Sciences (ICCS 2022)”, London, United Kingdom, Jun 2022. (invited)

12. F. V. Caro, V. Darrigrand, J. Alvarez-Aramberri, E. Alberdi, and D. Pardo, 1D Painless Multi-Level Automatic Goal-Oriented h and p Adaptive Strategies using a Pseudo-Dual Operator, “International Conference on Computational Sciences (ICCS 2022)”, London, United Kingdom, Jun 2022. (invited)

13. I. Muga, I. Brevis, K. van der Zee, O. Rodriguez, and D. Pardo, Learning optimal test functions for goal-oriented FEM, “International Conference on Computational Sciences (ICCS 2022)”, London, United Kingdom, Jun 2022. (invited)

14. J. A. Rivera, A. J. Omella, J. M. Taylor, and D. Pardo, On quadrature rules for solving Partial Differential Equations with Neural Networks, “8th European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS 2022)”, Oslo, Norway, Jun 2022. (invited)

15. A. J. Omella and D. Pardo, A Deep r-Adaptive Mesh Method for solving Partial Differential Equations, “8th European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS 2022)”, Oslo, Norway, Jun 2022. (invited)

16. C. Uriarte, D. Pardo, J. Muñoz-Matute, and I. Muga, A Generative Adversarial Networks approach for solving Partial Differential Equations, “8th European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS 2022)”, Oslo, Norway, Jun 2022. (invited)

17. M. Shahriari, D. Pardo, and J. A. Rivera, Geosteering using Deep Learning, “8th European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS 2022)”, Oslo, Norway, Jun 2022. (invited)

18. A. Fernandez-Navamuel, D. Zamora-Sanchez, D. Garcia-Sanchez, F. Magalhaes, and D. Pardo, Damage Detection in Bridge Structures Using an Unsupervised Deep Autoencoder, “8th European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS 2022)”, Oslo, Norway, Jun 2022. (invited)

19. I. Brevis, I. Muga, D. Pardo, O. Rodriguez, and K. G. van der Zee, A machine learning minimal residual method for solving quantities of interest of parametric PDEs, “8th European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS 2022)”, Oslo, Norway, Jun 2022. (invited)

20. A. Hashemian, D. Garcia, D. Pardo, and V. M. Calo, Performance of Refined Isogeometric Analysis in Solving Generalized Quadratic Eigenvalue Problems, “8th European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS 2022)”, Oslo, Norway, Jun 2022. (invited)

21. J. Munoz-Matute, D. Pardo, and L. F. Demkowicz, Multistage DPG time-marching scheme for semilinear problems, “8th European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS 2022)”, Oslo, Norway, Jun 2022. (invited)

22. F. V. Caro, V. Darrigrand, J. Alvarez-Aramberri, E. Alberdi, and D. Pardo, Goal-oriented hp-adaptive finite element methods: a painless multilevel automatic coarsening strategy for non-SPD problems, “8th European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS 2022)”, Oslo, Norway, Jun 2022. (invited)

23. M. Paszynski, R. Grzeszczuk, W. Dzwinel, and D. Pardo, Deep Neural Network-driven hp-adaptive finite element method in three dimensions, “8th European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS 2022)”, Oslo, Norway, Jun 2022. (invited)

24. J. de la Puente, Urgent computing of Earthquakes, Talk at Geoazur seminar, CNRS Sophie-Antipolis, France, July 2022.

25. J. A. Rivera, A. J. Omella, J. M. Taylor, and D. Pardo, Adaptive integration to overcome quadrature problems in Neural Networks, “World Congress on Computational Mechanics (WCCM-APCOM)”, Yokohama, Japan, Aug. 2022. (invited)

26. A. J. Omella and D. Pardo, r-adaptive Deep Learning method for solving Partial Differential Equations, “World Congress on Computational Mechanics (WCCM-APCOM)”, Yokohama, Japan, Aug. 2022. (invited)

27. F. V. Caro, V. Darrigrand, J. Alvarez-Aramberri, E. Alberdi, and D. Pardo, A painless automatic hp-adaptive coarsening strategy for non-SPD problems: a goal-oriented approach, “World Congress on Computational Mechanics (WCCM-APCOM)”, Yokohama, Japan, Aug. 2022. (invited)

28. A. Hashemian, D. Garcia, D. Pardo, and V. M. Calo, Refined Isogeometric Analysis for quadratic eigensystems of vector-valued multifield problems, “World Congress on Computational Mechanics (WCCM-APCOM)”, Yokohama, Japan, Aug. 2022. (invited)

29. C. Uriarte, D. Pardo, J. Munoz-Matute, and I. Muga, Adversarial Neural Networks for solving variationally formulated Partial Differential Equations, “World Congress on Computational Mechanics (WCCM-APCOM)”, Yokohama, Japan, Aug. 2022. (invited)

30. V. Nava, A. Aristondo, V. Varo, M. Esteras, I. Touzon, F. Boto, I. Mendikia, P. Ruiz-Minguela, S. Gil-Lopez, N. Gorostidi, and D. Pardo, On building physics-based AI models for the design and SHM of mooring systems, “5th International Conference on Renewable Energies Offshore (RENEW 2022)”, Lisbon, Portugal, Nov. 2022. (invited)

31. D. Pardo, M. Abedi, M. Shahriari, A. Hashemian, J. A. Rivera, and A. J. Omella, Machine Learning for modeling and interpreting geophysical borehole measurements, “2nd Geosteering Formation Evaluation Workshop”, Stavenger, Norway, Nov. 2022. (invited)

32. V.M. Calo, Career path & research interests, SRK Buenos Aires, Argentina, November 2022.

33. V.M. Calo, “Modeling and simulation of geological processes: phase transition, dynamic fracture propagation, and compaction band formation,” Interpore Australia Virtual Seminars, November 2022.

34. V.M. Calo, L. Espath, N. Labanda, “A phase-field formulation of dynamic fracture modelling,” 3rd Biennial Meeting of the Australian Chapter of InterPore, Perth, Australia, November 2022.

35. V.M. Calo, R. Cier, N. Labanda, “Computational modelling of compaction bands in geomaterials,” 3rd Biennial Meeting of the Australian Chapter of InterPore, Perth, Australia, November 2022.

36. VM Calo, “Multiscale, multiphysics & multiresolution computation in science & engineering (virtual),” MathWorks, Advanced Research & Technology Forum, November 2022.

37. J. C. Galvis, A porous media fracture model, XV Congress 2022 GAFEVOL, Universidad Nacional de Colombia Sede Manizales, November 2022.

38. J. de la Puente, Urgent computing of Earthquakes, Talk in HPC-ASEAN school, December 2022.

39. VM Calo, “Adaptivity & model reduction for decision-making,” Seminar ZJ Labs, December 2022.

40. VM Calo, “Adaptivity & model reduction: tools to facilitate decision-making,” Data-driven, physics-informed numerical modelling in geosciences workshop, CSIRO, Perth, December 2022.

1.  J. Munoz-Matute, D. Pardo, and L. Demkowicz, Equivalence between the DPG method and the exponential integrators for linear parabolic problems, "14th World Congress on Computational Mechanics WCCM 2020'', online, Jan. 2021. (invited)

2.  A. Hashemian, D. Pardo, and V. M. Calo, Refined Isogeometric Analysis for Generalized Real-Symmetric Eigenvalue Problems, "14th World Congress on Computational Mechanics WCCM 2020'', online, Jan. 2021. (invited)

3.  I. Muga, A machine-learning minimal-residual (ML-MRes) framework for goal-oriented finite element discretizations, "A2S Group Seminar, AGH University of Science and Technology", online, Jan. 2021. 

4.  S. Alyaev, M. Shahriari, D. Pardo, A. J. Omella, E. Suter, D. s. Larse, and N. Jahani, Validation Of A Deep Learning Surrogate Model For Extra-deep Electromagnetic Logs, "SPE/IADC International Drilling Conference and Exhibition", Stavanger, Norway, Mar. 2021. (invited)

5.  J. Munoz-Matute, D. Pardo, and L. Demkowicz, A DPG-based time marching scheme for linear hyperbolic problems,  "SIAM Conference on Computational Science and Engineering CSE21", online, Mar. 2021. (invited)

6.  I. Muga, Learning optimal test functions for goal-oriented problems, "Numerical and Applied Analysis Seminar", University of Nottingham, UK, online, March 2021.

7.  I. Muga, Projection in negative norms and the regularization of rough linear functionals, "SIAM Conference on Computational Science and Engineering", online, March 2021.

8.  K. Noh, C. Torres-Verdin, and D. Pardo, Real-time 2.5D inversion of resistivity measurements using deep learning for geosteering, "SPWLA 62nd Annual Logging Symposium", Boston, USA, May 2021. (invited)

9.  J. A. Rivera, A. J. Omella, and D. Pardo, Quadrature rules when solving PDEs using Neural Networks, "Eight Metropolitan Congress on Modeling and Numerical Simulation", Mexico, May 2021. (invited)

10.  M. Paszynski, R. Grzeszczuk, D. Pardo, and L. Demkowicz, Deep learning driven self-adaptive hp finite element method, "International Conference on Computational Science (ICCS)", Krakow, Poland, Jun. 2021. (invited)

11.  J. A. Rivera, A. J. Omella and D. Pardo, Deep Learning for solving partial differential equations using Ritz method, "International Conference on Computational Science (ICCS)", Krakow, Poland, Jun. 2021. (invited)

12. C. Uriarte, A. J. Omella, and D. Pardo, A Finite Element based Deep Learning solver for parametric PDEs, "International Conference on Computational Science (ICCS)", Krakow, Poland, Jun. 2021. (invited)

13.  A. Hashemian, D. Garcia, D. Pardo, and V. M. Calo, Refined Isogeometric Analysis for Solving Quadratic Eigenproblems in Electromagnetics, "International Conference on Computational Science (ICCS)", Krakow, Poland, Jun. 2021. (invited)

14.  A. J. Omella, D. Pardo, D. Palomar, I. Martinez, M. Garate, J. Martinez, and A. Peña, Multi-objective Optimization for the Design of Electric Motors, "CEDYA 2021", Gijon, Spain, Jun. 2021. (invited)

15.  A. J. Omella, D. Pardo, M. Strugaru, J. Alvarez-Aramberri, V. Darrigrand, C. Santos, and H. Gonzalez, Computing Effective P-Wave Velocity in Heterogeneous Rocks, "CEDYA 2021", Gijon, Spain, Jun. 2021. (invited)

16.  J. Munoz-Matute, D. Pardo, and L. Demkowicz, DPG-based time-marching-schemes for linear parabolic and hyperbolic partial differential equations, "10th International Conference on Adaptive Modeling and Simulation (ADMOS 2021)", online, Jun. 2021. (invited)

17.  A. Hazra, M. Shahriari, and D. Pardo, Sensor Placement for Borehole Measurements Using Deep Learning in Presence of Noisy Data, "SIAM Conference on Mathematical & Computational Issues in the Geosciences (GS21)" online, Jun. 2021. (invited)

18. E. Alberdi, F. Caro, V. Darrigrand, and D. Pardo, A Painless Multi-level Automatic Goal-Oriented hp-Adaptive Coarsening Strategy, "CEDYA 2021", Gijon, Spain, Jun. 2021. (invited)

19.  J. Munoz-Matute, D. Pardo, and L. F. Demkowicz, A Discontinuous Petrov-Galerkin method for solving linear transient parabolic problems, "CEDYA 2021", Gijon, Spain, Jun. 2021. (invited)

20.  J. Munoz-Matute, D. Pardo, and V. M. Calo, Exploiting the Kronecker product structure of φ-functions with applications to exponential time integrators, "International Conference on Computational Science ICCS 2021", Krakow, Poland, Jun. 2021. (invited)

21.  A. Hashemian, M. Barton, and D. Pardo, Spline Gauss Quadrature Rules for Refined Isogeometric Discretizations, "16th US National Congress on Computational Mechanics (USNCCM16)", Chicago, USA, Jul. 2021. (invited)

22.  F. Caro, V. Darrigrand, E. Alberdi, and D. Pardo, A Painless Goal-Oriented hp-Adaptive Strategy for Indefinite Problems, "16th US National Congress on Computational Mechanics (USNCCM16)", Chicago, USA, Jul. 2021. (invited)

23. J. Munoz-Matute, D. Pardo, and L. F. Demkowicz, DPG-based time-marching-schemes for linear transient problems, "16th US National Congress on Computational Mechanics (USNCCM16)", Chicago, USA, Jul. 2021. (invited)

24.  I. Muga, Learning optimal test functions for goal-oriented FEM, "Congreso de Matemática Capricornio, COMCA 2021", Chile, online, July 2021.

25.  M. Shahriari, J. A. Rivera, and D. Pardo, Uncertainty Quantification on the Inversion of Geosteering Measurements using Deep Learning, "Fourth EAGE Borehole Geology Workshop", online, Sep. 2021. (invited)

26.  A. Hashemian, D. Garcia, J. A. Rivera, and D. Pardo, Database Generation for 2.5D Borehole Resistivity Measurements using Refined Isogeometric Analysis, "Annual Users Meeting (JURES21) of the Spanish Supercomputer Network (RES)", Barcelona, Sep. 2021. (invited)

27.  M. Abedi and D. Pardo, A highly accurate traveltime approximation for large-offset reflections over layered VTI models, "82nd EAGE Annual Conference and Exhibition", Amsterdam, Netherlands, Oct. 2021. (invited)

28.  N. Gorostidi, V. Nava, and D. Pardo, A Deep Learning Model for the Structural Health Monitoring of Floating Offshore Wind Turbine Mooring Lines based on Modal Parameters, "17th EAWE Ph.D. Seminar", Porto, Portugal, Nov. 2021. (invited)

29.  J. Munoz-Matute, L. F. Demkowicz, and D. Pardo, Time marching DPG scheme and error representation for transient problems, "4th Annual Meeting of the SIAM Texas-Louisiana Section TXLA21", South Padre Island (Texas), USA, Nov. 2021. (invited)

30.  M. Shahriari and D. Pardo, An Automated Deep Learning Algorithm for the Inversion of Borehole Resistivity Measurements, "MATHROCKS Workshop on HPC, Deep Learning, and Numerics in Geophysics", Bilbao, Spain, Nov. 2021. (invited)

31.  A. Hashemian, D. Pardo, and V. M. Calo, Refined Isogeometric Analysis for the Massive Database Generation of 2.5D Borehole Electromagnetic Measurements, "MATHROCKS Workshop on HPC, Deep Learning, and Numerics in Geophysics", Bilbao, Spain, Nov. 2021. (invited)

32.  J. M. Taylor, J. A. Rivera, A. J. Omella, and D. Pardo, On Quadrature Rules for Solving Partial Differential Equations Using Deep Learning, "MATHROCKS Workshop on HPC, Deep Learning, and Numerics in Geophysics", Bilbao, Spain, Nov. 2021. (invited)

33.  J. de la Puente, Simulaciones 3D en el ámbito de la sismología: escenarios, riesgo y resiliencia, 8o Congreso Metropolitano de Modelado y Simulación Numérica, online, 2021.

34.  D. Modesto and J. de la Puente, A Domain Decomposition Approach for Fast Reduced Order Solutions in Geophysical Exploration, at the 82nd EAGE 2021, Amsterdam, Netherlands, Oct. 2021.

35.  J. C. Galvis, Multiscale preconditioners for linear elastic topology optimization, "Mathematical Congress of the Americas", MCA2021, Universidad de Buenos Aires, Argentina, online, July 2021.

36.  J. C. Galvis, On high-order conservative finite element methods for heterogeneous problems, "Mathematical Congress of the Americas", MCA2021, Universidad de Buenos Aires, Argentina, online, July 2021.

37.  J. C. Galvis, A phase field porous media fracture model based on homogenization theory, "MATHROCKS Workshop on Simulation and Inversion Methods in Geophysics HPC, deep learning and numerics in geophysics", Bilbao, Spain, Nov. 2021.

38.  I. Muga, Regularization of rough linear functionals & Adaptivity,  "MATHROCKS Workshop on Simulation and Inversion Methods in Geophysics HPC, deep learning and numerics in geophysics", Bilbao, Spain, Nov. 2021.

39.  F. Cavaliere, S. Zlotnik, R. Sevilla, X. Larràyoz and P. Díez, A nonintrusive reduced order method for the NVH assessment and automotive structural dynamics, "Annual Conference of the UK Association for Computational Mechanics", 2021.

40.  S. Zlotnik, O. Ortega, J.C Afonso and P. Díez, Combining Reduced Order Methods with Bayesian inference for the understanding of lithospheric structure, "Mechanistic Machine Learning and Digital Twins for Computational Science, Engineering & Technology", 2021.

41. S. Zlotnik, O. Ortega, P. Díez and J.C Afonso, A combined Reduced Order-Bayesian scheme to drastically accelerate stochastic inversions, "European Geophysical Union General Assembly", 2021. (invited)

42.  F. Cavaliere, R. Sevilla, S. Zlotnik, X. Larráyoz, and P. Díez, Nonintrusive proper generalized decomposition method for the design optimization of a car, "10th International Conference on Adaptive Modeling and Simulation", ADMOS, 2021.

43.  C. Nasika, P. Díez, P. Gerard, T.J. Massart and S.  Zlotnik, Enhancing sensor monitoring of earthfill dams using Model Order Reduction, "10th International Conference on Adaptive Modeling and Simulation", ADMOS, 2021.

44.  A. Muixí, P. Díez, S. Zlotnik and A. García-González, A kernel Proper Orthogonal Decomposition (kPOD) for nonlinear dimensionality reduction of parametric problems, "10th International Conference on Adaptive Modeling and Simulation", ADMOS, 2021.

45.  VM Calo, Multiscale, multiphysics, & multiresolution computating (virtual), Simulation & modelling seminar, CSIRO, May 2021.

46.  VM Calo, R. Cier, N. Labanda, Cnoidal wave equation for compaction banding modeling: state of the art and how to improve on it, "Workshop on Simulation and Inversion Methods in Geophysics", Nov. 2021.

47.  VM Calo, Modeling and simulation of geological processes: phase transition, dynamic fracture propagation, and compaction band formation, "Interpore Australia Virtual Seminars", Nov. 2021.

48.  VM Calo, Time marching for IGA: higher-order implicit and explicit methods and fast solvers, "Virtual IGA 2021 Conference", Sep. 2021. (plenary)

1.  J. C. Galvis, Introducción a modelos de epidemiología matemática. Webinar of the Colombian Society of Mathematics, Apr. 6, 2020.

2.  M. Los, S. Rojas, M. Paszynski, I. Muga, V.M. Calo, “A stable discontinuous Galerkin based isogeometric residual minimization for the Stokes problem," Intl Conf Comp Sci, 197-211, 2020.

3. D. Pardo, M. Shahriari, C. Torres-Verdín, A. Hazra, and J. A. Rivera, Deep learning inversion of bo-rehole resistivity measurements: algorithms, uncertainty, and tool design, ``Joint Industry Research Consortium on Formation Evaluation'' (20th Annual Meeting), Austin, TX, USA, Aug. 2020. (invited)

4. M. Shahriari, D. Pardo, and A. Hazra, Design of a Measurement Acquisition System using Deep Lear- ning, ``PIXIL Workshop'', Barcelona, Spain, Sep. 2020. (invited)

5. K. Noh, D. Pardo, and C. Torres-Verdín, Real-time 2.5D inversion of LWD resistivity measurements using deep learning methods, ``Joint Industry Research Consortium on Formation Evaluation'' (20th Annual Meeting), Austin, TX, USA, Aug. 2020. (invited)

6. D. Pardo, M. Shahriari, C. Torres-Verdín, A. Hazra, and J. A. Rivera, Deep learning inversion of bo- rehole resistivity measurements: algorithms, uncertainty, and tool design, "Joint Industry Research Consortium on Formation Evaluation (20th Annual Meeting)", Austin, TX, USA, Aug. 2020. (invited)

7. S. Alyaev, M. Shahriari, D. Pardo, A.J. Omella, D.S. Larsen, N. Jahani, and E. Suter, Modeling extra- deep EM logs using a deep neural network, "NORCE Geosteering meeting", Norce, Norway, Jun. 2020. (invited)

8. J. A. Rivera, D. Pardo and E. Alberdi, Design of Loss Functions for Solving Inverse Problems using Deep Learning, "International Conference on Computer Science 2020", Amsterdam, Netherlands, Jun. 2020. (invited)

9. M. Shahriari, D. Pardo, J. A. Rivera, C. Torres-Verdín, A. Picon, J. del Ser, and A. J. Omella, Deep Learning Inversion of Borehole Resistivity Measurements, ``PIXIL Workshop'', Pau, France, May. 2020. (invited)

10.  V. M. Calo, P. Benhoudfar, R. Cier, J. Giranldo, F. Kyburg, S. Rojas, A. Ern, I. Muga, and D. Pardo, Adaptive stabilized finite element methods, ``MATHROCKS Worskhop on Simulation and Inversion Methods in Geophysics'', online, Nov. 2020. (invited)

11. S. Alyaev, D. Pardo, A.J. Omella, D.S. Larsen, N. Jahani, and E. Suter, Machine Learning in real-time geosteering application: a DNN model for extra-deep EM logs, ``MATHROCKS Worskhop on Simulation and Inversion Methods in Geophysics'', online, Nov. 2020. (invited) 

12. A. Hazra ,M. Shahriari, and D. Pardo, Design of a borehole resistivity measurement acquisition system using deep learning, ``MATHROCKS Worskhop on Simulation and Inversion Methods in Geophysics'', online, Nov. 2020. (invited)

13. S. Rojas, D. Pardo, P. Behnoudfar ,and V.M .Calo, Discontinuous Galerkin based residual minimization for goal-oriented adaptive mesh refinement, ``MATHROCKS Worskhop on Simulation and Inversion Methods in Geophysics'', online, Nov. 2020. (invited)

14. M. Abedi and D. Pardo, Analytical approximation of seismic travel time equation in anisotropic media, ``MATHROCKS Worskhop on Simulation and Inversion Methods in Geophysics'', online, Nov. 2020. (invited)

15. A. Fdez-Navamuel, D. Pardo, and V. Nava, Challenges of applying Deep Neural Networks to the offs- hore wind energy sector, ``MATHEO Webinar'', Bilbao, Spain, Oct. 2020. (invited)

16.  J. de la Puente, El rol de las simulaciones de ondas en la exploración de la Tierra y el interior del cuerpo humano, "Seminario Enzo Levi", online, 2020.

17.  O. Castillo-Reyes, P. Queralt, J. Ledo, A. Marcuello, G. Mitjanas and J. de la Puente, Control Source Electromagnetic test in the Vallès Basin (Spain) for geothermal characterization: experiment setup and numerical simulations,  "AGU Fall Meeting 2020", online, 2020.

18.  D. Werthmuller, R. Rochlitz, O. Castillo-Reyes and L.J. Headgy, Open-Source Landscape for Three-Dimensional Controlled-Source Electromagnetic Modeling, "AGU Fall Meeting 2020", online, 2020.

19.  J. C. Galvis, Modelamiento matemático del Covid, actividades del grupo de Matemática Aplicada, "WEBINAR COVID-19: RETOS, AVANCES Y PROPUESTAS DESDE LA FACULTAD DE CIENCIAS", Mayo 2020.

20.  J. C. Galvis, Una introducción a la aproximación numérica de ecuaciones diferenciales parciales usando el método de elementos finitos,  Conferencia Inaugural, II Encuentro Matemático del Caribe. Cartagena,  Septiembre 2020.

21.  J. C. Galvis, Crouzeix-Raviart, Lagrange finite elements and iterative methods for elliptic heterogeneous problems. "MATHROCKS Worskhop on Simulation and Inversion Methods in Geophysics", online, Nov. 2020.

22.  I. Muga, A machine-learning minimal-residual (ML-MRes) framework for goal-oriented finite element discretizations, "MATHROCKS Worskhop on Simulation and Inversion Methods in Geophysics", online, Nov. 2020..

23.  J. C. Galvis, Robust solvers and approximation for high-constrast multiscale problems, "Coloquio de Matemáticas Universidad de los Andes", Colombia, Diciembre 2020.

24.  J. C. Galvis, CR, P1 and Iterative Methods for Heterogeneous Problems, "26th International Domain Decomposition Conference DD XXVI", Hong Kong, China, December 2020.

25. A.  Moaven, T. Massart, S. Zlotnik, Real time solutions of Thermo-Hydro Mechanical problems with application to the design of Engineered Barriers via Reduced Order Methods, "European Geophysical Union General Assembly", Vienna, Austria, 2020.

26.  J. Reis, J.P. Moitinho de Almeida, P. Díez, S. Zlotnik, Error Estimation and Adaptivity for PGD Solutions, "14th World Congress on Computational Mechanics-ECCOMAS", Paris, France, 2020.

27.  F. Cavaliere, S. Zlotnik, R. Sevilla, X. Larráyoz, P. Díez, PGD For Inertia Relief Problems And Parametric Modal Analysis, "14th World Congress on Computational Mechanics-ECCOMAS", Paris, France 2020.

28.  C. Nasika, P. Díez, P. Gerard, T. Massart and S. Zlotnik, Enabling Sensor Monitoring Optimization And Data Assimilation For Earthfill Dams,  "14th World Congress on Computational Mechanics-ECCOMAS", Paris, France, 2020.

29. A. Moaven, T. Massart, and S. Zlotnik, Solution of transient Thermo-Hydro Mechanical problems using Encapsulated Proper Generalized Decomposition, "14th World Congress on Computational Mechanics-ECCOMAS", Paris, France, 2020.

30.  M. C. Manassero, J.C. Afonso, F. Zyserman, S. Zlotnik and I. Fomin, A Reduced Order Approach for Joint Probabilistic Inversions of 3D Magnetotelluric and Surface Wave Data, "AGU Fall Meeting", 2020.

31.  VM Calo, P Behnoudfar, R Cier, A Ern, F Kyburg, D Pardo, S Rojas, An adaptive stabilized finite element method based on residual minimization (keynote), "MWNDEA", Melbourne, Feb. 2020.

32.  VM Calo, Multiscale, multiphysics, & multiresolution comp, "JKU", Austria, online, Jul. 2020.

33.  VM Calo, P Behnoudfar, R Cier, A Ern, D Pardo, S Rojas, An adaptive stabilized finite element method based on residual minimization, "WCCM14 & ECCOMAS8", Paris, France, Jul. 2020.

34.  VM Calo, P Behnoudfar, R Cier, A Ern, S Rojas, Stable finite elements for transport phenomena (keynote, virtual), "MoST 2020", Treis-Karden Germany, Jul. 2020.
    

1. D. Pardo and J. Omella, Modeling of Geophysical Problems, ``Deep Learning Workshop at Tecnalia'', Zamudio, Spain, Nov. 2019. (invited)

2. M. Shahriari, D. Pardo, A. Picon, and C. Torres-Verdin, Simulation and Inversion of Resistivity Measurements using Deep Learning, ``Formation Evaluation and Geosteering Workshop'', Stavanger, Norway, Nov. 2019. (invited)

3. M. Shahriari, D. Pardo, and B. Moser, A Deep Neural Network as Surrogate Model for Forward Simulation of Borehole Resistivity Measurements, ``ISM 2019'', Rende, Italy, Nov. 2019. (invited)

4. V. Puzyrev, D. Pardo, V. M. Calo, and C. Torres-Verdin Recent advances in inversion of deep directional borehole resistivity measurements, ``AEGC 2019'', Perth, Australia, Sep. 2019. (invited)

5. D. Garcia, D. Pardo, and V. M. Calo, Refined Isoogeometric Analysis for Multi-field Problems, ``IGA 2019'', Munich, Germany, Sep. 2019. (invited)

6. M. Shahriari, D. Pardo, C. Torres-Verdín, J. A. Rivera, A. Picon, and J. del Ser, Design Decisions for the Deep Learning Inversion of Borehole Resistivity Measurements, ``Joint Industry Research Consortium on Formation Evaluation'' (Nineteen Annual Meeting), Austin, TX, USA, Aug. 2019. (invited)

7. V. Darrigrand, D. Pardo, Th. Chaumont-Frelet, I. Gómez-Revuelto, and L. E. García-Castillo, A Painless Automatic hp-Adaptive Strategy for Non-Elliptic Problems, ``The Mathematics of Finite Elements and Applications (MAFELAP 2019)'', Brunel, UK, July 2019. (invited)

8. A. J. Omella, M. Strugaru, J. Álvarez-Aramberri, V. Darrigrand, D. Pardo, H. González, and C. Santos, Upscaling effective compressional velocities of real rock samples, ``International Congress on Industrial and Applied Mathematics (ICIAM 2019)'', Valencia, Spain, July 2019. (invited) 

9. M. Shahriari, D. Pardo, A. Picón, A. Galdrán, J. del Ser, S. Ossandon and C. Torres-Verdín, Inversion of Resistivity Measurements Using Deep Learning, ``International Conference on Computational Sciences (ICCS 2019)'', Faro, Portugal, July 2019. (invited) 

10. A. J. Omella, M. Strugaru, J. Álvarez-Aramberri, V. Darrigrand, D. Pardo, H. González, and C. Santos, Low-frequency Upscaling of Effective Velocities in Heterogeneous Rocks, ``International Conference on Computational Sciences (ICCS 2019)'', Faro, Portugal, July 2019. (invited) 

11. V. Darrigrand, D. Pardo, Th. Chaumont-Frelet, I. Gómez-Revuelto, and L. E. García-Castillo, A Painless Automatic hp-Adaptive Strategy for Elliptic 1D and 2D Problems, ``International Conference on Computational Sciences (ICCS 2019)'', Faro, Portugal, July 2019. (invited) 

12. D. García, D. Pardo, and V. M. Calo, Refined Isogeometric Analysis (rIGA) for resistivity well-logging problems, ``International Conference on Computational Sciences (ICCS 2019)'', Faro, Portugal, July 2019. (invited) 

13. J. Muñoz-Matute, V. M. Calo, D. Pardo, and E. Alberdi, Error Representation and Space-Time Goal Oriented Adaptivity for the Advection-Diffusion Equation employing Explicit Runge-Kutta Methods, ``Congress on Numerical Methods in Engineering (CMN2019)'', Gimaraes, Portugal, July 2019. (invited) 

14. J. Muñoz-Matute, D. Pardo, V. M. Calo, and E. Alberdi, Explicit time integrators and forward-in-time goal oriented adaptivity, ``International Conference on Adaptive Modeling and Simulation (ADMOS 2019)'', Alicante, Spain, May 2019. (invited) 

15. V. Darrigrand, D. Pardo, Th. Chaumont-Frelet, I. Gómez-Revuelto, and L. E. García-Castillo, A Painless Automatic Goal-Oriented hp-Adaptive Strategy for Elliptic Problems, ``International Conference on Adaptive Modeling and Simulation (ADMOS 2019)'', Alicante, Spain, May 2019. (invited) 

16. J. Muñoz-Matute, E. Alberdi, D. Pardo, and V. M. Calo, Espazio-denborako EFMaren eta lerroen metodo esplizituen arteko, ``Ikergazte 2019'', Bayonne, France, May 2019. (invited) 

17. J. A. Rivera, D. Pardo, and E. Alberdi, Zulaketa bidezko erresistibitate neurketen simulazioa problema errealen ebazpenean, ``Ikergazte 2019'', Bayonne, France, May 2019. (invited) 

18. D. García, D. Pardo, and V. M. Calo, Refined Isogeometric Analysis (rIGA) for Electromagnetics, ``WONAPDE 2019'', Concepción, Chile, Jan. 2019. (invited) 

19. J. Muñoz-Matute, D. Pardo, V. M. Calo, and E. Alberdi, TimeDiscontinuous Petrov-Galerkin Methods for the Advection-Diffusion Equation, ``WONAPDE 2019'', Concepción, Chile, Jan. 2019. (invited)

20. P. Sepúlveda, and D. Pardo, A Spacetime Goal Oriented Adaptivity for an Explicit in Time Finite Element Method, ``WONAPDE 2019'', Concepción, Chile, Jan. 2019. (invited) 

21. M. Shahriari, D. Pardo, A. Picón, A. Galdrán, J. del Ser, and C. Torres-Verdín, Inversion of Borehole Resistivity Measurements Using Deep Learning, ``WONAPDE 2019'', Concepción, Chile, Jan. 2019. (invited) 

22. S. Rojas, Q. Deng, A. Ern, I. Muga, and D. Pardo, Stabilized Finite Element Method with Discontinuous Galerkin based Residual Minimization, ``Valparaíso´s Mathematics and its Applications Days (Vmad9)'', Valparaíso, Chile, Jan. 2019. (invited) 

23. I. Brevis, J. Ortega, and D. Pardo, Time reversal methods for source reconstruction on acoustic and elastic waves, ``Valparaíso´s Mathematics and its Applications Days (Vmad9)'', Valparaíso, Chile, Jan. 2019. (invited) 

24. J. Muñoz-Matute, D. Pardo, V. M. Calo, and E. Alberdi, Goal-Oriented Adaptivity employing Forwardin-Time Pseudo-Dual Problems, ``Valparaíso´s Mathematics and its Applications Days (Vmad9)'', Valparaíso, Chile, Jan. 2019. (invited) 

25. P. Sepulveda, D. Pardo, and J. Gopalakrishnan, Two discontinuous spacetime methods for the linear transport and wave equations, ``Valparaíso´s Mathematics and its Applications Days (Vmad9)'', Valparaíso, Chile, Jan. 2019. (invited) 

26. V. Darrigrand, D. Pardo, Th. Chaumont-Frelet, I. Gómez, and L. E. García-Castillo, A Painless Automatic hp-Adaptive Strategy for Elliptic 1D and 2D Problems: Preliminary Results, ``Valparaíso´s Mathematics and its Applications Days (Vmad9)'', Valparaíso, Chile, Jan. 2019. (invited)

27. V. Darrigrand, D. Pardo, Th. Chaumont-Frelet, I. Gómez-Revuelto, L.E. García-Castillo, hp-Adaptivity for Dummies, University of Nice Sophia Antopolis, Apr. 2019. (invited) 

28. V. Darrigrand, D. Pardo, Th. Chaumont-Frelet, I. Gómez-Revuelto, L.E. García-Castillo, hp-Adaptivity for Dummies, Polythecnic University of Cataluña, Spain, Feb. 2019. (invited)

29. F. Faucher, Perspectives of seismic imaging using FWI with reciprocity misfit functional, Journées Ondes Sud-Ouest (JOSO), Mar 2019, Cesta, France.

30. J. C. Galvis, Introducción a los Métodos de Descomposición de Dominios, First South-occidental encounter of  Mathematics and Applied Mathematics, Universidad of el Valle/University Javeriana, Cali, Colombia, Nov. 20-24, 2019.

31. J. C. Galvis, Robust solvers for high-contrast multiscale problems, Dynamics Equations and Applications, dea.agh.edu.pl, Faculty of Applied Mathematics at the AGH University of Science and Technology, Krakow, Poland, 16-20 Sept. 2019.

32. J. C. Galvis, Fast multiscale contrast independent preconditioner for linear elastic topology optimization problems, Congress on Mathematical and Computational Modeling of the Earth, Barcelona, Spain, 24-25 Mayo 2019.

33.  VM Calo, Q Deng, S Rojas, A Romkes, “Residual minimization for isogeometric analysis in reduced and mixed forms,” International Conference on Computational Science, 463-476, 2019 

34. J Muñoz, D Pardo, VM Calo, E Alberdi, “Error representation and space-time goal-oriented adaptivity for the advection-diffusion equation employing explicit Runge-Kutta methods,” Cong Num Methods Eng CMN2019, 385-385. ISBN: 978-989-54496-0-6, 2019 

35. J Muñoz, D Pardo, VM Calo, E Alberdi, “Espazio-denborako EFMaren eta lerroen metodo esplizituen arteko baliokidetasuna,” Ikergazte, 23-29, ISBN: 978-84-8438-685-8, 2019 

36.  V Puzyrev, D Pardo, VM Calo, C Torres-Verdin, “Recent advances on the inversion of deep directional borehole resistivity measurements,” AECG 2019 

37.  A Cortes, L Dalcin, A Sarmiento, V Calo, “A scalable block-preconditioning strategy for divergence-conforming B-spline discretizations,” ILAS 2019 

38. El-Ghamrawy K., F. Auricchio, P. Díez and S. Zlotnik, “Optimization of fibre orientation in 3D printed components using a PGD framework”, II International Conference on Simulation for Additive Manufacturing, Italy, 2019. 

39.  Manassero M.C., J.C. Afonso, F. Zyserman and S. Zlotnik, “Including 3D magnetoteluric data into joint probabilistic inversions” AGU Fall Meeting, San Francisco, 2019. 

40.  Reis, J., J.P. Moitinho de Almeida, P. Díez and S. Zlotnik, “PGD for 2D elasticity problems, with error bounds and adaptivity”, MORTech 2019, 5th International workshop on Reduced Basis, POD and PGD Model Order Reduction Techniques, Paris, 2019. 

41.  Larion Y., S. Zlotnik, P. Díez and T. Massart, “Reduced Basis Approximation and Goal-Oriented Error Estimation for Time-Dependent Coupled Thermo- Hydro-Mechanical System”, MORTech 2019, 5th International workshop on Reduced Basis, POD and PGD Model Order Reduction Techniques, Paris, 2019. 

42.  Cavaliere F., S. Zlotnik, R. Sevilla, X. Larrayóz and P. Díez, “A Proper Generalized Decomposition approach with Inertia Relief (PGD-IR) for the static analysis of geometrically parametrized unconstrained structures”, MORTech 2019, 5th International workshop on Reduced Basis, POD and PGD Model Order Reduction Techniques, Paris, 2019. 

43. Nasika C., S. Zlotnik, P. Díez, T. Massart and P. Gerard,  “Reduced Model Order Techniques For Data Assimilation In Tailings Dams Monitoring”, MORTech 2019, 5th International workshop on Reduced Basis, POD and PGD Model Order Reduction Techniques, Paris, 2019. 

44. Zhang L., C.F. Li, and S. Zlotnik,  “Subduction initiation in the Eastern Margin of the Caroline Plate”, 2019 Ada Lovelace Workshop on Modelling Mantle and Lithospheric Dynamics, Siena, Italy, 2019. 

45.  Manassero M.C., J.C. Afonso, F. Zyserman and S. Zlotnik, “Including 3D magnetoteluric data into joint probabilistic inversions”, 27th International Union of Geodesy and Geophysics General Assembly, Montreal, Canada, 2019. 

46.  “A High Order Finite Element Formulation for the Simulation of 3D Magneto-Mechanical Problems with Application to MRI Scanners” Seaone M., P.D. Ledger, A.J. Gil, S. Zlotnik and M. Mallet, 22nd International Conference on the Computation of Electromagnetic Fields, Paris, 2019 

47.  Huerta A., M. Giacomini, S. Zlotnik and R. Sevilla, “Generalized solutions (PGD-based Computational Vademecums) for parameterized problems”, Asian Pacific Congress on Computational Mechanics Taipei, Taiwan, 2019. 

48.  Peral M., S. Zlotnik, M. Fernandez, J. Vergés, A. Kumar, J. Ruh, “A numerical model of the Western Mediterranean”, SUBITOP TOPO-EUROPE Conference. Granada, Spain, 2019. 

49.  Gelabert-Ortega O., S. Zlotnik, J.C. Afonso and P Díez, “Greedy Reduced Basis With Error Control For 3D Inversion In Geophysics”, Congresso de Métodos Numéricos em Engenharia. Guimarães, Portugal, 2019 

50.  Díez P., García-González A., S. Zlotnik and Huerta H. “Algebraic tools for parametric problems: supplementing finite elements with the parametric dimension”, Euromech Colloquium "New Challenges in Finite Element Technology - From the Perspective of Mechanics and Mathematics", Aachen, 2019 

51.  Sevilla R., S. Zlotnik and A. Huerta, “Coupling of Geometric Design and Simulation in a Proper Generalised Decomposition Framework”, VIII International Conference on Coupled Problems in Science and Engineering, 2019, Spain 

52. Garikapati H., C.V. Verhoosel, E. H. van Brummelen, S. Zlotnik and P. Díez, “Bayesian inference in hydraulic fracturing models", VIII International Conference on Coupled Problems in Science and Engineering, 2019, Spain 

53. Larion Y., S. Zlotnik, P. Díez and T. Massart,  “Reduced Order Modelling for Coupled Systems in Geological Porous Media”, VIII International Conference on Coupled Problems in Science and Engineering, 2019, Spain 

54.  Larion Y., S. Zlotnik, P. Díez and T. Massart, “Building a Certified Reduced Basis for Transient Coupled Problems”, International Conference on Adaptive Modeling and Simulation. ADMOS 2019, Alicante, Spain. 

55.  Nasika, C., S. Zlotnik and P. Díez, “A simple model of the hydro-mechanical behaviour of earthfill dams to support decision making regarding tailings dams’ safety”, International Conference on Adaptive Modeling and Simulation. ADMOS 2019, Alicante, Spain.

56.  Cavaliere F., S. Zlotnik, R. Sevilla, X. Larrayóz and P. Díez, “A Proper Generalized Decomposition (PGD) approach with inertia relief for the solution of unconstrained parametric static problems”, International Conference on Adaptive Modeling and Simulation. ADMOS 2019, Alicante, Spain. 

57. Zlotnik S., O. Ortega, J.C. Afonso and P. Díez, “Combining Reduced Order Methods with Bayesian inference for the solution of inverse problems with application in Geophysics”, International Conference on Adaptive Modeling and Simulation. ADMOS 2019, Alicante, Spain. 

58.  Peral M., S. Zlotnik, M. Fernàndez, J. Vergés, A. Kumar, J. Ruh, “A numerical model of the Western Mediterranean”, European Geophysical Union General Assembly 2019, Vienna. 

59. Ignacio Muga, Projection in negative norms & the regularization of rough linear functionals. Venue: 6th Chilean Workshop on Numerical Analysis of Partial Differential Equations (WONAPDE 2019), Concepción, Chile.

60. Ignacio Muga, Projection in negative norms & the regularization of rough linear functionals (Poster).  Venue: Workshop on Computational Modeling and Numerical Analysis (WCMNA 2019), Florianópolis, Brasil.

61. Ignacio Muga, Minimización residual discreta para advección-reacción en espacios de Banach. Venue: XXXII Jornada Matemática de la Zona Sur, Punta Arenas, Chile.

62. Ignacio Muga, Why the residual minimization approach Works for stabilized dG formulations? Venue: IX Congreso Internacional de Matemática Aplicada y Computacional, Lima, Perú.

63. Ignacio Muga, A DG-based stabilized residual minimization technique. Venue: 4th Workshop on Minimum Residual & Least-Squares Finite Element Methods, Berlín, Alemania.

64. Ignacio Muga, A DG-based stabilized residual minimization technique. Venue: French Latin-American Conference on New Trends in Applied Mathematics, Santiago, Chile.

1. J. Álvarez-Aramberri, K. Key, D. Pardo, M. Shahriari, J. A. Rivera, and C. Torres-Verdín, Combining different spatial dimensions for the fast simulation of magnetotelluric problems, ``24th EM Induction Workshop'', Helsingor, Denmark, Aug. 2018. (invited)

2. D. Pardo, M. Shahriari, J. A. Rivera, and C. Torres-Verdín, Update on the Rapid Inversion of LWD Re- sistivity Measurements in UTAPWeLS, ``Joint Industry Research Consortium on Formation Evaluation'' (Eighteen Annual Meeting), Austin, TX, USA, Aug. 2018. (invited)

3. M. Shahriari, D. Pardo, A. Picón, A. Galdrán, J. del Ser, and C. Torres-Verdín, Deep Learning Method for the Rapid Inversion of Borehole Resistivity measurements, ``Joint Industry Research Consortium on Formation Evaluation'' (Eighteen Annual Meeting), Austin, TX, USA, Aug. 2018. (invited)

4. J. Muñoz-Matute, V. M. Calo, D. Pardo, and E. Alberdi, Adbekzio-difusio ekuazioaren errorearen adie- razpena eta helburuetara orientatutako egokitzapena espazio-denboran Runge-Kutta esplizituak era- bilita, ``III Encuentro de Matemáticos Vascos'', Eibar, Spain, Jul 2018. (invited)

5. D. Guignard, S. Prudhomme, V. Darrigrand, D. Pardo, and K. Kergrene, Adaptive Algorithm with Diffe- rent Error Representations in Goal-Oriented Error Estimation, ``13th World Congress on Computational Mechanics (ICCS 2018)'', New York, NY, USA, Jul 2018. (invited)

6. V. Darrigrand, D. Pardo, Th. Chaumont-Frelet, I. Muga, and S. Prudhomme, Goal-Oriented hp- Adaptivity Using Unconventional Error Representations, ``13th World Congress on Computational Me- chanics (ICCS 2018)'', New York, NY, USA, Jul 2018. (invited)

7. J. Muñoz-Matute, V. M. Calo, D. Pardo, and E. Alberdi, Error Representation and Space-Time Goal- Oriented Adaptivity for the Advection-Diffusion Equation Employing Explicit Runge-Kutta Methods, ``13th World Congress on Computational Mechanics (ICCS 2018)'', New York, NY, USA, Jul 2018. (invited)

8. D. Pardo, C. Torres-Verdín and A. Rodríguez-Rozas, Fast Dimensionally Adaptive Inversion of LWD and Deep Azimuthal Resistivity Measurements, ``IOR Geosteering Workshop'', Bergen, Norway, Jun 2018. (invited)

9. M. Shahriari, S. Rojas, D. Pardo, A. Rodriguez-Rozas, S. A. Bakr, V. M. Calo, I. Muga and J. Muñoz, A Fast 1.5D Multi-scale Finite Element Method for Borehole Resistivity Measurements, ``International Congress on Computational Sciences (ICCS 2018)'', Wuxi, China, Jun 2018. (invited)

10. D. Garcia-Lozano, D. Pardo, V. M. Calo and J. Muñoz, refined Isogeometric Analysis (rIGA): A multi- field application on a fluid flow scenario, ``International Congress on Computational Sciences (ICCS 2018)'', Wuxi, China, Jun 2018. (invited)

11. J. Muñoz, D. Pardo, V. M. Calo and E. Alberdi, Space-Time Goal-Oriented Adaptivity and Error Esti- mation for Parabolic Problems employing Explicit Runge-Kutta Methods, ``International Congress on Computational Sciences (ICCS 2018)'', Wuxi, China, Jun 2018. (invited)

12. Th. Chaumont-Frelet, A. Rodríguez-Rozas, and D. Pardo, Non-fitting grids in the finite element inver- sion of resistivity geosteering measurements, ``Fifth International Congress on Multiphysics, Multiscale, and Optimization Problems'', Bilbao, Spain, May 2018. (invited)

13. D. García-Lozano, D. Pardo, and V. M. Calo, Refined Isogeometric Analysis (rIGA) with multiphysics applications, ``Fifth International Congress on Multiphysics, Multiscale, and Optimization Problems'', Bilbao, Spain, May 2018. (invited)

14. J. Muñoz,D. Pardo, V. M. Calo, and E. Alberdi, Galerkin methods for time-domain goal-oriented adap- tivity, ``Fifth International Congress on Multiphysics, Multiscale, and Optimization Problems'', Bilbao, Spain, May 2018. (invited)

15. Th. Chaumont-Frelet, M. Shahriari, and D. Pardo, A 1.5D adjoint-based formulation for computing de- rivatives of resistivity measurements with respect to bed boundary layers in geosteering, ``Fifth Inter- national Congress on Multiphysics, Multiscale, and Optimization Problems'', Bilbao, Spain, May 2018. (invited)

16. O. Castillo-Reyes, J. de la Puente, J. M. Cela, HPC geophysical electromagnetic modeling. ``Fifth Inter- national Congress on Multiphysics, Multiscale, and Optimization Problems'', Bilbao, Spain, May 2018. (invited)

17. O. Castillo-Reyes, J. de la Puente, J. M. Cela, Electromagnetic modeling using Nédélec elements of high-order and HPC. ``XXXIX Ibero-Latin American Congress on Computational Methods in Engineering – CILAMCE", Paris/Compiègne, France, November 2018.

18. O. Castillo-Reyes, J. de la Puente, J. M. Cela, HPC code development using Python. ``Mexican Supercomputing Network annual meeting – RedMexSu", Guadalajara, Mexico, October 2018.

19. J. Álvarez-Aramberri, K. Key, and D. Pardo, Advanced Numerical Methods to Enhance Electromagnetic Simulations, ``2018 Electromagnetic Methods Research Consortium'', Columbia University, NYC, USA, Oct. 2018. (invited) 

20. M. Shahriari, S. Rojas, D. Pardo, A. Rodriguez-Rozas, S. A. Bakr, V. M. Calo, and I. Muga, A fast multiscale finite element method for geophysical resistivity measurements, ``20th International Conference on Structural and Computational Geophysics (ICSCG 2018)'', Prague, Czechia, Sep. 2018. (invited)

21. S Ahmed, T Mu ̈ller, M Madadi, VM Calo, “Pore-scale digital rock physics for poroelastic parameter determination,” SEG Technical Program, 3668-3672, 2018 

22. B Zhang, V Puzyrev, VM Calo, D Yang, T Mu ̈ller, “Seismic modeling in porous media using the viscosity-extended Biot framework,” SEG Technical Program, 3918-3922, 2018 

23. “Effects of kinematic boundary conditions on trench curvature in a retreating subduction zone: insights from analog modelling” M. Fernández, A. Kumar, M. Peral, F. Funiciello, S. Zlotnik, C. Faccenna, J. Vergés American Geophysical Union General Assembly 2018. 

24. “A Reduced Order Modeling Approach to Crack Propagation in Elastic Media and its Application to Hydraulic Fracturing Models” H. Garikapati, S. Zlotnik, C. Verhoosel, H. van Brummelen, P. Díez, 13th World Congress on Computational Mechanics, New York City, July 22-27, 2018 

25. “Ultra-fast solution of Stokes problem via Model Order Reduction within 3D inversion of lithospheric structure” Ortega O., S. Zlotnik, J. C. Afonso, and P. Díez, European Geophysical Union General Assembly 2018, Vienna. 

26. “Arching a retreating slab: a numerical model of the Gibraltar system” Peral M., S. Zlotnik, M. Fernandez, J. Vergés, A. Kumar, F. Funiciello, C. Faccenna, and J. Ruh, European Geophysical Union General Assembly 2018, Vienna. 

27. “Including magnetotelluric data into multi-observable probabilistic inversion: implications for the physical state and water content of the continental lithosphere” Manassero M.C., J. C. Afonso, F. Zyserman, S. Zlotnik, M. Rosas-Carbajal, and S. Thiel, European Geophysical Union General Assembly 2018, Vienna. 

28. “Dynamics of small scale subduction systems: a numerical and analogue approach”, Peral M., J. Ruh, S. Zlotnik, F. Funiciello, M. Fernandez, C. Faccenna, J. Vergés, and T. Gerya, European Geophysical Union General Assembly 2018, Vienna. 

29. Ignacio Muga, Projection in negative norms & the regularization of rough linear functionals. Venue: 5th International Workshop on Multiphysics, Multiscale and Optimization Problems (M2OP5). BCAM, Bilbao, Spain.

 30. Ignacio Muga, Projection in negative norms & the regularization of rough linear functionals. Venue: Emerging Trends in Applied Mathematics & Mechanics (ETAMM2018), Jagiellonian University, Krakow, Poland.

 31. Ignacio Muga, Projection in negative norms & the regularization of rough linear functionals. Venue: 1st Colombian Conference of Industrial & Applied Mathematics, Bogotá, Colombia.

 32. Ignacio Muga, El método de Petrov-Galerkin y la evolución histórica de su constante de quasi-optimalidad. Venue: LIV Semana de la Matemática, Valparaíso, Chile.

 33. Ignacio Muga, Minimización residual discreta para advección-reacción en espacios de Banach. Venue: LXXXVII Encuentro Anual Sociedad de Matemática de Chile, Rancagua, Chile.