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. Okan Aydingül

Postdoctoral Researcher at the Chair of General Management and Information Systems

aydingueluni-mannheim.de

Credit: Felix Ludwig

Main fields of research

IS in Healthcare
mHealth
Software Development

Curriculum vitae

Since 2019	Postdoctoral Researcher of Information Systems (Postdoc), University of Mannheim (Germany), Business School
2019	Dr. rer. pol., University of Mannheim (Germany), Business School
2015–2019	Research and Teaching Assistant, Chair of General Management and Information Systems (Prof. Dr. Armin Heinzl), University of Mannheim (Germany)

Selected publications

Currently there are no publications available for this list.