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. Christian Friedrich

Postdoc at the Chair of Accounting and Capital Markets

christian.friedrichuni-mannheim.de

Credit: privat

Main fields of research

Auditing and assurance
Financial crime and corporate compliance
Behavioral accounting research

Curriculum vitae

Since 2023	Postdoc in Accounting, University of Mannheim
2023	Acting Professor, University of Mannheim
2021–2022	Postdoc in Accounting, Technical University of Darmstadt
2020	Visiting PhD Student, University of Florida
2016–2021	PhD in Accounting, Technical University of Darmstadt
2011–2016	Bsc, Msc Engineering and Economics, Technical University of Darmstadt

Selected publications

Currently there are no publications available for this list.