Sangeeta Yadav
Post-Doctoral fellow,
Engineering and Mathematical Science
University of Wisconsin
Contact: shongmusic@gmail.com, sangeetay@iisc.ac.in
Research: Predicting hemodynamics form CT scans of brain aneurysms
Research Interests: Scientific Computing || Machine Learning || High Performance Computing || Computer Vision || Reinforcement Learning
Note: Please don't send me any request for reviewing articles/thesis/projects in 2024.
Updates
[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
Publications
S. Yadav, S. Ganesan, Journal of Computational Physics, 2023 [Paper]
Sangeeta Yadav, Sashikumaar Ganesan
8th European Congress on Computational Methods in Applied Sciences and Engineering, 2022 [Paper]