Tejaswini Medi

Researcher

University of Mannheim

B6, 28–29, Room C 001, 68159, Mannheim

Email: tejaswini.medimail-uni-mannheim.de

Webpage: tejaswinimedi.github.io

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Research Interests

Robustness and Fairness of Deep Learning Models
Image and 3D Generation
Representation Learning

Publications

Tejaswini Medi, Julia Grabinski, Margret Keuper, “Towards Class-wise Robustness Analysis” accepted at OOD Generalization in Computer Vision Workshop, ICCV 2023.Tejaswini Medi, Jawad Tayyub, Muhammad Sarmad, Frank Lindseth, Margret Keuper, “FullFormer: Generating Shapes Inside Shapes”, accepted at DAGM German Conference on Pattern Recognition, Heidelberg, 2023. Tejaswini Medi, Steffen Jung, Margret Keuper, " FAIR-TAT: Improving Model Fairness Using Targeted Adversarial Training”, accepted at Proceedings of the Winter Conference on Applications of Computer Vision (WACV), 2025

Teaching

Teaching Assistant

Generative Computer Vision Models ( FSS 2024, FSS 2025)
Machine Learning ( HWS 2024)
Seminar Organization (AI Safety & Robustness) ( FSS 2025)
Seminar Supervision ( HWS 2024 – FSS 2025)

Community Participation

Active Reviewer for TPAMI, CVPR and NeurIPS Conferences

Prof. Dr. Simon Rother

Assistant Professor of Finance

simon.rotheruni-mannheim.de

Main fields of research

Financial intermediation
Financial stability
Financial institutions

Curriculum vitae

Since 2023	Assistant Professor of Finance, University of Mannheim
Since 2023	Guest Researcher, Copenhagen Business School
2021–2023	Assistant Professor of Finance, Copenhagen Business School
2016–2021	PhD in Economics, University of Bonn
2017–2018	Visiting Student Research Collaborator, Princeton University
2013–2016	MSc Quantitative Economics, Universities of Frankfurt, Mainz, Darmstadt (GSEFM)
2010–2013	BSc Economics, University of Mainz

Selected publications

Currently there are no publications available for this list.