Ayan Majumdar
Scholar

Ayan Majumdar

Google Scholar ID: HeQLWA4AAAAJ
Ph.D. Student, Max Planck Institute for Software Systems, Saarland University
Machine LearningDeep LearningFairnessExplainability
Citations & Impact
All-time
Citations
40
 
H-index
3
 
i10-index
2
 
Publications
5
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • 2025: 'Evaluating LLMs for Demographic-Targeted Social Bias Detection: A Comprehensive Benchmark Study', arXiv
  • 2025: 'A Causal Framework to Measure and Mitigate Non-binary Treatment Discrimination', arXiv
  • 2024: 'CARMA: A practical framework to generate recommendations for causal algorithmic recourse at scale', ACM FAccT 2024
  • 2023: 'Do Invariances in Deep Neural Networks Align with Human Perception?', AAAI 2023
  • 2022: 'Don't Throw it Away! The Utility of Unlabeled Data in Fair Decision Making', ACM FAccT 2022
Education
  • Ph.D. in Computer Science (ongoing), Saarland University & Max Planck Institute for Software Systems, May 2021–Present, Saarbrücken, Germany
  • M.Sc. in Computer Science, Saarland University, Oct 2017–Apr 2021, Saarbrücken, Germany (Grade: 1.2/1.0)
  • B.Tech. in Electronics and Communication Engineering, Heritage Institute of Technology, Kolkata, India, 2015
  • Ph.D. advisors: Prof. Isabel Valera and Prof. Krishna Gummadi
  • Master’s thesis: “On Computing Counterfactuals for Causal Fairness”, supervised by Prof. Krishna Gummadi and Prof. Isabel Valera
Co-authors
0 total
Co-authors: 0 (list not available)