Saurabh Deshpande
@saurabh1715
Loves numbers, playing different sports, music and gelatos
ID: 2285514655
https://saurabhdeshpande93.github.io/ 10-01-2014 18:56:59
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Talking PASC2022 with Saurabh Deshpande and looking forward to the talk by Charbel Farhat ETH Zürich Eleni Chatzi and Laura de Lorenzis Saurabh Deshpande presenting graph NNs for large deformation in soft matter #softmatter lnkd.in/eCRysYaW
Our ESR Saurabh Deshpande presented his work on real-time large deformation simulations at the Platform for Advanced Scientific Computing Conference, in Basel PASC26. A Computer Methods in Applied Mechanics and Engineering publication to be out soon 🎉 Stéphane P.A. Bordas Fellow Learned Soc. of Wales
I was glad to see our #research work presented at #WCB2022 (World Congress of Biomechanics), Taipei, by Arnaud Mazier . Thanks again to the Legato_Team , Stéphane P.A. Bordas Fellow Learned Soc. of Wales , Stephane Urcun, Saurabh Deshpande , Jakub Lengiewicz and François Hild for their implication in this project.
Happy to share that our work 'Probabilistic deep learning for real-time large deformation simulations' has been published in the #cmame journal🎉 Stay tuned for the new publication on graph convolution surrogate models. Jakub Lengiewicz Stéphane P.A. Bordas Fellow Learned Soc. of Wales doi.org/10.1016/j.cma.…
Our last pipeline to measure #breast deformations from imaging is now available at: sciencedirect.com/science/articl… Stéphane P.A. Bordas Fellow Learned Soc. of Wales, Arnaud Mazier, @AntoinePerney, Jakub Lengiewicz, François HILD uni.lu , @rainbow2020, LMPS
Would be super interested in working together with you guys, Sheffield Mech Eng @DavidJWagg (see yesterday’s Webinar on digital twins in mechanics and soft mater) to build optimal sensing devices for deformable structures with uncertainties. Framework using graph NN Saurabh Deshpande
"MAgNET: A Graph U-Net Architecture for Mesh-Based Simulations" — Read it on ResearchGate: researchgate.net/publication/36…
New neural network work :-) available from@@LegatoTeam on ResearchGate: researchgate.net/publication/36…
Thank you Jakub Lengiewicz and Stéphane P.A. Bordas Fellow Learned Soc. of Wales for the amazing work you provided! I can’t wait to see the outcomes of my Luxembourg National Research Fund (FNR) PhD. #Soft_material #Contact uni.lu Institut de Biomécanique Humaine Georges Charpak
We explore state-of-the-art neural network architectures such as Perceiver IO, MAgNET, and CNN U-NET for efficient learning of highly non-linear deformations of solid bodies. In collaboration with Ian Sosa, Jakub Lengiewicz, Stéphane P.A. Bordas Fellow Learned Soc. of Wales. #DeepLearning #mechanics Doctoral Programme in Computational Sciences(DPCS)
Thank you Jakub Lengiewicz and Stéphane P.A. Bordas Fellow Learned Soc. of Wales for all the support and guidance. I'm also happy to announce that my thesis has been awarded with the Excellent Thesis Award at uni.lu. A huge thanks to Marie Skłodowska-Curie Actions for funding my PhD. Marie Skłodowska-Curie Actions RAINBOW 🎉
🚀 Join us in building Time Series Foundation Model 💸 Stipend: INR 40K – 70K per month 📍 Location: Pilani / Bhubaneshwar / Remote ⏳ Duration: 8 – 12 months 🗓️ Start Date: ASAP Apply here: forms.gle/3RGvseA8e8HLMg… Aditya Birla Group Dhruv Kumar