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. Jens Förderer

Chair of Information Systems II

foerdereruni-mannheim.de

Website

Main fields of research

Effects of information technology on companies and markets
Artificial intelligence / LLM / GenAI
Digital markets (e.g. social media, search engines, app stores, e-commerce)
Digital business models (e.g. platform, marketplace, freemium, targeted advertising)
Governance of online platforms (e.g. disinformation, algorithmic fairness, content moderation)
Ecosystems and network effects
Cybersecurity, data leaks
Regulation of digital technologies (e.g. AI Act, Digital Markets Act, General Data Protection Regulation)
Digital sovereignty

Curriculum vitae

2011	B. Sc., Information Systems, University of Mannheim
2013	M. Sc., Information Systems, University of Mannheim
2013–2015	PhD student, CDSB, Graduate School of Economic and Social Sciences, University of Mannheim
2015–2017	Research assistant, University of Mannheim, SAP SE
2017	Dr. rer. pol, University of Mannheim
2017–2019	Academic Councillor, University of Mannheim
2019–2025	Professor of Innovation and Digitalization, Technical University of Munich, School of Management
2023	Tenure, Technical University of Munich, School of Management
2023–2024	Visiting Researcher, University of Oxford, Oxford Internet Institute
Since 2025	Professor of Information Systems, University of Mannheim

Selected memberships

Association for Information Systems
Verband der Hochschullehrerinnen und Hochschullehrer für Betriebswirtschaft

Prizes, awards, honors

Capital, Top 40 unter 40 (2024)
WirtschaftsWoche-Ranking Forschungsstärkste Wissenschaftler/innen BWL (2023)
Supervisory Award der Technischen Universität München (2023)
Best Paper in Track Award, International Conference on Information Systems (2022)
Best Paper of the Year Award, Information Systems Research (2019)

Selected publications

Förderer, J. and Burtch, G. (2024). Estimating career benefits from online community leadership: Evidence from stack exchange moderators. Management Science, 1–24.
Kircher, T. and Förderer, J. (2024). Ban targeted advertising? An empirical investigation of the consequences for app development. Management Science, 70, 1070-1092.
Lindenmayr, M. and Förderer, J. (2024). Digitale B2B-Plattformökosysteme für produzierende Unternehmen : Anwendungsbereiche und Beispiele entlang der Wertschöpfungskette. In Digitale Plattformen und Ökosysteme im B2B-Bereich : Fallstudien, Ansätze, Technologien und Tools (S. 161–182). Wiesbaden, Deutschland: Springer Fachmedien Wiesbaden.
Förderer, J. (2023). Praxistipps für KMU und Start-ups im Umgang mit den BigTech-Plattformen. In Digitale Souveränität für Europa : Herausforderung und Zielsetzung (S. 81–88). Freiburg: Haufe Group.
Kude, T., Förderer, J., Mithas, S. and Heinzl, A. (2023). How deadline orientation and architectural modularity influence software quality and job satisfaction. Journal of Operations Management, 69, 941–964.
Förderer, J. (2022). Erfolgsmodell Digitale Plattformen : Geschäftsmodelle – Netzwerkeffekte – Community-Management. Stuttgart: Schäffer-Poeschel Verlag.
Förderer, J., Heinzl, A. and Kude, T. (2022). Plattformökosysteme. In Handbuch Digitalisierung (S. 137–160). München: Vahlen.
Förderer, J. and Schütz, S. W. (2022). Data breach announcements and stock market reactions: A matter of timing? Management Science, 68, 7298-7322.
Lindenmayr, M. and Foerderer, J. (2022). Qualitätssicherung in Digitalen Plattform-Ökosystemen: Implementierung von Kontrollsystemen am Beispiel von Apple iOS. HMD : Praxis der Wirtschaftsinformatik, 59, 1312-1322.