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. Dr. Ruibing Wang

Postdoctoral Researcher at the Chair of Service Operations Management

ruibing.wanguni-mannheim.de

Main fields of research

Economics of mobile platforms: Advertising, Content building, Coordination
Marketing strategy: New product preannouncement, Product line design
Consumer behavior: Consumer uncertainty, Anticipated regret, Consumer referral

Curriculum vitae

Since 2021	University of Mannheim, Postdoctoral Researcher, Chair of Service Operations Management, Business School
2016–2019	City University of Hong Kong, Research Assistant, College of Business
2015–2021	City University of Hong Kong, Ph.D. (Joint Ph.D. Program) Management Sciences
2013–2019	University of Science and Technology of China, Ph.D. Management Science and Engineering
2008–2012	Hefei University of Technology, B.Sc. Business Administration

Selected publications

Wang, R., Wang, Q. and Chiang, W. K. (2023). Optimal promotional mix and pricing when faced with uncertain product value. European Journal of Operational Research : EJOR, 313, 637–651.