People
Ayan Majumdar
Max Planck Institute for Software Systems
Building E1 5, Room 538
Email: ayanm@mpi-sws.org
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.
Publications
2025
A Causal Framework to Measure and Mitigate Non-binary Treatment Discrimination Journal Article
In: CoRR, vol. abs/2503.22454, 2025.
2024
CARMA: A practical framework to generate recommendations for causal algorithmic recourse at scale Proceedings Article
In: The 2024 ACM Conference on Fairness, Accountability, and Transparency, FAccT 2024, Rio de Janeiro, Brazil, June 3-6, 2024, pp. 1745–1762, ACM, 2024.
2022
Don't Throw it Away! The Utility of Unlabeled Data in Fair Decision Making Proceedings Article
In: FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21 - 24, 2022, pp. 1421–1433, ACM, 2022.
2021
Exploring Alignment of Representations with Human Perception Journal Article
In: CoRR, vol. abs/2111.14726, 2021.