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. Monica Fallon

Assistant Professor at the Chair of General Management and Information Systems

fallonuni-mannheim.de

Main fields of research

mobile health applications
health IS
effective IT use
behavior change

Curriculum vitae

2022	Postdoc, University of Mannheim
2021	Dr. rer. pol, Business School, University of Mannheim
2017–2021	Research Assistant (PhD), University of Mannheim
2014–2017	Project Coordinator, Kent State University, USA
2013–2014	Master of Arts in Health Psychology, University of Arizona, USA
2009–2013	Bachelor of Science in Psychology, University of Arizona, USA

Selected publications

Pieper, M., Fallon, M. and Heinzl, A. (2024). Micro-randomized trials in information systems research: An experimental method for advancing knowledge about our dynamic and digitalized world. Journal of Information Technology : JIT.