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

Dr. Thomas Johann

Postdoctoral Researcher at the Chair of Finance

johannuni-mannheim.de

Main fields of research

Corporate Finance
Empirical Asset Pricing
Market Microstructure

Curriculum vitae

Since 2019 Assistant Professor at the Chair of Finance, University of Mannheim, Germany
2019	Graduation as Dr. rer. pol., University of Mannheim, Germany
2011–2019	Academic Staff Member at the Chair of Finance, University of Mannheim
2010–2019	PhD Student in Finance, Graduate School of Economic and Social Sciences, University of Mannheim
2009–2011	Master of Science with a focus in Finance, University of Mannheim
2008	Exchange Student, HEC Montréal, Canada
2006–2009	Bachelor of Science, University of Mannheim

Selected publications

Currently there are no publications available for this list.