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. Irmela Koch-Bayram

Assistant Professor at the Chair of Business Adminstration, Human Resource Management and Leadership

irmela.koch-bayramuni-mannheim.de

Credit: Sebastian Weindel

Main fields of research

Strategic Human Resource Management
Leadership and Leadership Success

Curriculum vitae

2011	Diplom-Kauffrau, University of Cologne
2014	Visiting Scholar, University of Southern California
2015	Dr. rer pol., University of Mannheim
Since 2017	Assistant Professor, University of Mannheim

Selected publications

Koch-Bayram, I. and Biemann, T. (2024). How corporate social (ir)responsibility influences employees’ private prosocial behavior: An experimental study. Journal of Business Ethics, 194, 103–118.
Koch-Bayram, I. and Kaibel, C. (2024). Algorithms in personnel selection, applicants' attributions about organizations' intents and organizational attractiveness: An experimental study. Human Resource Management Journal, 34, 733–752.
Mayrhofer, W., Biemann, T., Koch-Bayram, I. and Rapp, M. L. (2024). Context is key: A 34-country analysis investigating how similar HRM systems emerge from similar contexts. Human Resource Management, 63, 355–371.
Biemann, T., Mayrhofer, W. and Koch-Bayram, I. (2023). Embedded in context: How time and distance affect the convergence of personnel selection practices. Human Resource Management Journal, 33, 47–68.
Koch-Bayram, I., Kaibel, C., Biemann, T. and Triana, M. . C. (2023). : Applicants' experiences with discrimination explain their reactions to algorithms in personnel selection. International Journal of Selection and Assessment : IJSA, 31, 252–266.
Lin-Hi, N., Gao-Urhahn, X., Biemann, T. and Koch-Bayram, I. (2023). Internal CSR and blue‑collar workers’ attitudes and behaviors in China: a combination of a cross‑sectional study and a field experiment. Asian Business & Management, 22, 1185-1213.