Dr. Sangeeta Yadav
Assistant Professor,
Computer Engineering,
University of Delhi.
Previously, Post-Doctoral fellow,
Engineering and Mathematical Science,
University of Wisconsin
Contact: shongmusic@gmail.com, sangeetay@iisc.ac.in , sangeeta@fot.du.ac.in
Research: Predicting hemodynamics from CT scans of brain aneurysms
Research Interests: Scientific Computing || Machine Learning || Computer Vision ||
[Jul 2025] "Quantum Neural Network-based stabilization parameter for solving Partial Differential Equations" paper got accepted in Advances in Computers.
[Mar 2025] "Input parameterized physics informed neural networks for de noising, super-resolution, and imaging artifact mitigation" paper got accepted for "Engineering Applications of Artificial Intelligence".
[Dec 2024] Gave a talk on "Blood velocity inferences using physics informed neural network" at IISc Bangalore in CASML conference
[Sep 2024] Gave a talk on "Blood velocity inferences using physics informed neural network" at NIT Jalandhar
[July 2024] Source Detection paper got accepted for Atmospheric Environment
[June 2024] ConvStabNet paper got accepted for CalColo
[Dec 2023] SPDE-NetII paper got accepted for the Journal of Computational Physics
[Oct 2023] DataWise paper got accepted for ACML 2023
[Oct 2023] Orbital propagation paper got accepted for ICMLA 2023
[August 2023] Serving as reviewer for NLDL 2024
[June 2023] Two papers accepted for ICML, 2023 "Synergy of Scientific and Machine Learning Modeling Workshop"
[April 2023] Gave a talk on "Data-driven stabilization schemes for SPDEs" at the Brown University.
[May 2023] Successfully defended PhD Thesis
[April 2023] Gave a talk on "Data-driven stabilization schemes for SPDEs" at the Politecnico Di Milano on 18th April 2023. [Link]
[April 2023] Serving as reviewer for NeurIPS'23, ICML'23