Sangeeta Yadav

About

I am an assistant professor at the Department of Computer Engineering at University of Delhi. Before this, I did my PhD at Department of Computational and Data Science, Indian Institute of Science.

Employment

• University of Delhi Assistant Professor
  2024 - Present
• University of Wisconsin–Milwaukee
  2023 - 2024
• Indian Institute of Science Graduate Student

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (10)

• Input parameterized physics informed neural networks for de noising, super-resolution, and imaging artifact mitigation in time resolved three dimensional phase-contrast magnetic resonance imaging
  Engineering Applications of Artificial Intelligence 2025 DOI: 10.1016/j.engappai.2025.110600
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• Towards chemical source tracking and characterization using physics-informed neural networks
  Atmospheric Environment 2024 DOI: 10.1016/j.atmosenv.2024.120679
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• ConvStabNet: a CNN-based approach for the prediction of local stabilization parameter for SUPG scheme
  Calcolo 2024 DOI: 10.1007/s10092-024-00597-x
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• Artificial neural network-augmented stabilized finite element method
  Journal of Computational Physics 2024 DOI: 10.1016/j.jcp.2023.112702
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• QPDE: Quantum Neural Network Based Stabilization Parameter Prediction for Numerical Solvers for Partial Differential Equations
  AppliedMath 2023 DOI: 10.3390/APPLIEDMATH3030029
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• SPDE-ConvNet: Solve Singularly Perturbed Partial Differential Equation with deep learning
  2022
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• SPDE-ConvNet: SOLVE SINGULARLY PERTURBED PARTIAL DIFFERENTIAL EQUATION WITH DEEP LEARNING
  World Congress in Computational Mechanics and ECCOMAS Congress 2022 DOI: 10.23967/eccomas.2022.258
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• SPDE-Net: Neural Network based prediction of stabilization parameter for SUPG technique
  Proceedings of Machine Learning Research 2021
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• How Deep Learning performs with Singularly Perturbed Problems?
  2019 IEEE Second International Conference on Artificial Intelligence and Knowledge Engineering (AIKE) 2019 DOI: 10.1109/AIKE.2019.00058
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• Resolving the celestial classification using fine k-NN classifier
  2016 Fourth International Conference on Parallel, Distributed and Grid Computing (PDGC) 2016 DOI: 10.1109/PDGC.2016.7913215
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