I’m a Marie Curie PhD Fellow at DTU Compute working under the supervision of Vedrana A. Dahl (Main), Anders B. Dahl, Jens W. Andreasen and Lars P. Mikkelsen . My current research focuses on Geometric Modeling, Fibre Tracking and Computer Vision & ML based analysis of X-ray CT images at micro and nano scale for carbon fibre composite materials. I am also working on ML based SAXS & WAXS synchrotron data analysis of Yarn fibres.
Prior to this, I was a Research Engineer at Neurospin, CEA Paris-Saclay / Inria - MIND. I was part of Philippe Ciuciu team, where I developed SPARKLING (non-cartesian) trajectory for Very Low Field MRI acquisition (8mT) to scan premature baby. Moreover, I also worked on DL based reconstruction of MRI images. Over the period, I have acquired expertise in carrying out interdisciplinary research encompassing broad applications [remote sensing, MRI imaging, material science: carbon and yarn fibre compostes] focused on image analysis with Computer Vision and Machine Learning.
Marie Curie PhD Fellow, 2023-present
Visual Computing, DTU Compute, Denmark
M2 Master MoSIG (Graphics, Vision & Robotics), 2020-2021
INP Grenoble - ENSIMAG, France
M1 Master in Computer Vision (VIBOT), 2019-2020
Universite de Bourgogne, France
BTech in Electonics & Communication Eng. (Avionics), 2015-2019
Indian Institute of Space Science & Technology (IIST), India
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