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

Prof. Dr. Torsten Biemann

Chair of Business Administration, Human Resource Management and Leadership

torsten.biemannuni-mannheim.de

Website

Credit: Sebastian Weindel

Main fields of research

International Human Resource Management
Dynamics of human resource management systems
Leadership and leadership success
Careers and career patterns
Effectiveness of HR practices
Team processes and team performance
Methods of management research

Curriculum vitae

2002	Diplom-Psychologe (Diploma in Psychology), University of Gießen
2004	Diplom-Kaufmann (M.Sc. in Business Administration), University of Gießen
2008	Dr. sc. pol., University of Kiel
2007–2009	Postdoctoral Research Fellow, Jacobs University Bremen
2009–2013	Assistant Professor of Human Resource Management, University of Cologne
Since 2013	Professor of Business Administration, Human Resource Management, and Leadership, University of Mannheim

Selected memberships

Academy of Management
German Academic Association for Business Research (VHB)
Schmalenbach-Gesellschaft für Betriebswirtschaft e. V.

Selected editorial activities

Editorial Board “Small Group Research”
Associate Editor of “Personal Quarterly” (practice-oriented journal)
Ad-hoc reviewer for about 15 national and international scientific journals

Selected publications

Rossetti, C., Biemann, T. and Dlouhy, K. (2025). The emergence of similar personalities in similar occupations. Journal of Organizational Behavior : OB, 1–19.
Dlouhy, K., Biemann, T. and Baruch, Y. (2024). A career ecosystem perspective on societal and organizational characteristics and careers to the top in higher education. Human Resource Management Journal, 1–16.
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.
Köhler, D. P., Rausch, A., Biemann, T. and Büchsenschuss, R. (2024). Expertise and specialization in organizations: a social network analysis. European Journal of Work and Organizational Psychology, 1–17.
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.
Meier-Barthold, M., Biemann, T. and Alfes, K. (2023). Strong signals in HR management: How the configuration and strength of an HR system explain the variability in HR attributions. Human Resource Management, 62, 229–246.