Sameer Ambekar is a Ph.D. Student at the Technical University of Munich (TUM). He received his Masters in Artificial Intelligence (MSc AI) from the University of Amsterdam (UvA), Netherlands. For his Master’s thesis (48 ECTS), he worked on ‘Test-Time Adaptation for Domain Generalization by generating models and labels through Variational meta-learning’ at the AIM Lab, UvA. Prior to his master’s, he worked as a Research Assistant (RA) at IIT Delhi (IITD) to address Unsupervised Domain Adaptation through methods such as Variational generative latent search. He is interested in solving problems in unsupervised learning through methods such as meta-learning and variational inference alongside learning efficient and transferable features.

• Open Theses and Projects: Looking for Bachelor / Master Thesis for Summer semester 2025. Please reach out via email or website - https://ambekarsameer.com if you are interested in working on Test-time adaptation, Domain Generalization, Meta Learning or related topics.