Kavya Gupta is a Postdoctoral Researcher at Universität des Saarlandes since March 2024, focusing on trustworthy machine learning, fair machine learning, robustness of neural networks, and multi-objective optimization. In addition to this role, Kavya has served as a Research Advisor at Granular since November 2021, working on training large geo-spatial vision models and addressing out-of-distribution challenges in geospatial applications. Previously, Kavya was a CIFRE Doctoral Student at Thales from November 2019 to November 2022, and held research positions at TCS Research & Innovation and Tata Consultancy Services between 2016 and 2019. Earlier academic experience includes a Teaching Assistant position at Indraprastha Institute of Information Technology, Delhi, from July 2014 to May 2016. Kavya holds a PhD from CentraleSupélec, a Master of Technology in Communication and Signal Processing from Indraprastha Institute of Information Technology, Delhi, and a Bachelor of Technology in Electronics and Communications Engineering from Jaypee University of Information Technology.
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