Publications
You can alternatively find my publications on:
Doctoral thesis
- ‘Data Driven Surrogate Frameworks for Computational Mechanics: Bayesian and Geometric Deep Learning Approaches’. Received the Excellent Thesis Award (see here).
[PDF, Presentation, Slides]
Journal papers
‘Gaussian process regression + deep neural network autoencoder for probabilistic surrogate modeling in nonlinear mechanics of solids’. Computer Methods in Applied Mechanics and Engineering (CMAME) 2025.
Saurabh Deshpande, Hussein Rappel, Mark Hobbs, Stéphane P.A. Bordas and Jakub Lengiewicz.
[PDF] [DOI] [Code]‘MAgNET: A Graph U-Net Architecture for Mesh-Based Simulations’. Engineering Applications of Artificial Intelligence (EAAI) 2024.
Saurabh Deshpande, Stéphane P.A. Bordas and Jakub Lengiewicz.
[PDF] [DOI] [Code][Presentation]‘Convolution, aggregation and attention based deep neural networks for accelerating simulations in mechanics’. Frontiers in Materials 2023.
Saurabh Deshpande, Raúl I. Sosa, Stéphane P.A. Bordas and Jakub Lengiewicz.
[PDF] [DOI] [Code]‘Probabilistic Deep Learning for Real-Time Large Deformation Simulations’. Computer Methods in Applied Mechanics and Engineering (CMAME) 2022.
Saurabh Deshpande, Jakub Lengiewicz and Stéphane P.A. Bordas.
[PDF] [DOI]
Conferences
‘Graph Representation Learning Strategies for Omics Data: A Case Study on Parkinson’s Disease.’ arXiv, 2024.
Elisa Gómez de Lope, Saurabh Deshpande, RV Torné, Pietro Liò, Enrico Glaab, Stéphane Bordas
[PDF][DOI]‘Novel Geometric Deep Learning Surrogate Framework for Non-Linear Finite Element Simulations’. 14th International Conference of Computational Methods (ICCM), 2023.
Saurabh Deshpande, Raúl I. Sosa, Stéphane P.A. Bordas and Jakub Lengiewicz.
[PDF]‘Real Time Hyper-elastic Simulations with Probabilistic Deep Learning’. 15th World Congress on Computational Mechanics (WCCM), 2022.
Saurabh Deshpande, Jakub Lengiewicz and Stéphane P.A. Bordas.
[PDF] [Video]‘Real-Time Large Deformation Simulations Using Probabilistic Deep Learning Framework’. The Platform for Advanced Scientific Computing (PASC), 2022.
Saurabh Deshpande, Jakub Lengiewicz and Stéphane P.A. Bordas.
[Poster] [Video]‘Towards realtime patient-specific breast simulations: from full-field information to surrogate model’. 9th World Congress of Biomechanics (WCB), 2022.
Arnaud Mazier, Thomas Lavigne, Jakub Lengiewicz, Saurabh Deshpande, Stéphane Urcun and Stéphane Bordas‘Real-time large deformations: A probabilistic deep learning approach’. 18th European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS), 2022.
Saurabh Deshpande, Jakub Lengiewicz and Stéphane P.A. Bordas.
[PDF]‘Data Driven Surgical Simulations’. 14th World Congress on Computational Mechanics (WCCM), 2020.
Saurabh Deshpande, Stéphane Bordas, Lars Beex, Stéphane Cotin and Anina Glumac.
[PDF]
Review activities for journals
- Applied Mathematical Modelling
- Scientific Reports - Nature
