Hello there, I’m Tejaswini 👋!

I am a PhD candidate from the Data and Web Science Group at the University of Mannheim, supervised by Prof.Dr.-Ing. Margret Keuper. I received my Master’s in Mechatronics from the University of Siegen and a Bachelor’s degree in Mechanical Engineering from Osmania University, India with Distinction. My areas of research include Generative Models, Neural Network Robustness & Fairness, and Representation Learning. During my master’s, I also worked as a student researcher in the field of Reinforcement Learning. It would be my pleasure to collaborate on interesting topics within these domains 😀!

News

• 03.03.2025: Our work FAIR-TAT:FAIR-TAT: Improving Model Fairness Using Targeted Adversarial Training was accepted at WACV 2025 Conference!
• 03.10.2023: Our work Towards Class-wise Robustness Analysis was accepted at ICCV23, Workshop on Out Of Distribution Generalization in Computer Vision (Oral)!
• 20.09.2023: Our paper FullFormer: Generating Shapes Inside Shapes was accepted at DAGM GCPR 2023 Conference!