As a master's thesis student at the Center for Sensor Systems (ZESS), I am exploring the robustness of time-of-flight (ToF)--based per-pixel material inference techniques to adversarial attacks using deep neural networks. I am passionate about applying artificial intelligence (AI) to solve real-world problems in machine learning (ML), deep learning (DL), and computer vision (CV).Before starting my thesis, I worked as a working student at the Bosch Center for Artificial Intelligence (BCAI), where I implemented a coverage constraint optimization technique for booster trees. I also conducted a pre-master's thesis at ZESS, where I developed a novel approach to robust ToF-based material imaging using three-dimensional features. I have published two papers in IEEE Sensors on machine learning for ToF cameras and their applications. I am currently pursuing my master's degree in mechatronics at the University of Siegen, with a focus on AI. I hold a bachelor's degree in mechanical engineering from The Maharaja Sayajirao University of Baroda and a diploma in engineering from Gujarat Technological University. I have also completed several online courses and certifications in MATLAB, Machine Learning, and several others. I am fluent in German, English, and Hindi.