Ayan Majumdar

​Max Planck Institute for Software Systems
Building E1 5, Room 538


About me

Hello there! My name is Ayan. I am a Ph.D. student in Computer Science at the Max Planck Institute for Software Systems and Saarland University, Germany, jointly advised by Prof. Krishna Gummadi and Prof. Isabel Valera.

Prior to joining as a Ph.D. student, I completed my M.Sc. in Computer Science at Saarland University. Before this, I completed my Bachelors in Electronics and Communication Engineering from Heritage Institute of Technology, India, and worked for two years as a System Engineer at Infosys, India.

I am broadly interested in research topics that encompass the aspects of fairness, robustness and understanding of machine learning systems in consequential decision-making and high-stakes scenarios. In particular, I am exploring the application of deep generative models in these contexts. I am also very enthusiastic about understanding and explaining deep learning models and their perceptions (with respect to human-centric as well as machine-centric views).

You can find more information on my personal page here.



Rateike, Miriam; Majumdar, Ayan; Mineeva, Olga; Gummadi, Krishna P.; Valera, Isabel

Don’t Throw It Away! The Utility of Unlabeled Data in Fair Decision Making Inproceedings

In: 2022 ACM Conference on Fairness, Accountability, and Transparency, pp. 1421–1433, Association for Computing Machinery, Seoul, Republic of Korea, 2022, ISBN: 9781450393522.

Abstract | Links | BibTeX


Nanda, Vedant; Majumdar, Ayan; Kolling, Camila; Dickerson, John P.; Gummadi, Krishna P.; Love, Bradley C.; Weller, Adrian

Exploring Alignment of Representations with Human Perception Journal Article

In: CoRR, vol. abs/2111.14726, 2021.

Links | BibTeX