Nisha Patil

Nisha Patil is an R&D Engineer at Rohde & Schwarz, specializing in FPGA Programming and Machine Learning since November 2022. Prior to this role, Nisha served as a Master Thesis Student at Airbus Defence and Space, focusing on deep neural networks for anomaly detection in spacecraft telemetry data. Nisha has also worked as a Laboratory Assistant at the Technical University of Munich, where responsibilities included tutoring and developing project descriptions for satellite subsystems. Additionally, Nisha gained research experience as an intern at the Max Planck Institute for Extraterrestrial Physics, researching Convolutional Neural Networks for satellite image processing. Nisha holds a Master's degree in Communications Engineering from the Technical University of Munich and a Bachelor of Engineering in Electronics and Telecommunication from the Maharashtra Institute of Technology.