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. Jiri Tresl

Assistant Professor at the Chair of Financial Markets and Financial Institutions

jtresluni-mannheim.de

Main fields of research

Corporate Finance

Curriculum vitae

2009	M.A. in Applied Economics, University of Nebraska- Lincoln; B.S. in International Trade, University of Economics, Prague, Czech Republic
2012–2013	Traveling Scholar (CIC), Northwestern University, USA
2013	Ph.D. in Finance, University of Nebraska-Lincoln

Selected publications

Flannery, M. J., Hanousek, J., Shamshur, A. and Tresl, J. (2023). M&A activity and the capital structure of target firms. Journal of Financial and Quantitative Analysis : JFQA, 58, 2064–2095.
Brockman, P., Hanousek, J., Tresl, J. and Unlu, E. (2022). Dividend smoothing and firm valuation. Journal of Financial and Quantitative Analysis : JFQA, 57, 1621-1647.