Publications

Md Fahim Sikder, Daniel De Leng, Fredrik Heintz (2026). FairRep: Mitigating Intersectional Bias through Fair Representation Learning. Under Review.
Project
Md Fahim Sikder (2025). Representative Synthetic Data for Fair Decision Making. Linköping University Electronic Press, 2025.
PDF Source Project Project Project DOI
Md Fahim Sikder, Resmi Ramachandranpillai, Daniel De Leng, Fredrik Heintz (2025). Promoting Intersectional Fairness through Knowledge Distillation. ECAI 2025.
PDF Code Poster Slides Project DOI
Md Fahim Sikder, Resmi Ramachandranpillai, Fredrik Heintz (2025). TransFusion: Generating Long, High-Fidelity Time Series using Diffusion Models with Transformers. MLWA.
PDF Code Poster Project DOI
Md Fahim Sikder, Daniel De Leng, Fredrik Heintz (2024). Fair4Free: Generating High-fidelity Fair Synthetic Samples using Data Free Distillation. Work in Progress.
PDF Project
Md Fahim Sikder, Resmi Ramachandranpillai, Daniel De Leng, Fredrik Heintz (2024). FairX: A comprehensive benchmarking tool for model analysis using fairness, utility, and eXplainability. AEQUITAS, co-located with ECAI 2024.
PDF Code Slides Project Project
Md Fahim Sikder, Md Jamal Uddin, Sajal Halder (2024). Predicting Students Yearly Performance using Neural Network: A Case Study of BSMRSTU. ICIEV 2016.
PDF DOI
Resmi Ramachandranpillai, Md Fahim Sikder, David Bergström, Fredrik Heintz (2024). Bt-GAN: Generating Fair Synthetic Healthdata via Bias-transforming Generative Adversarial Networks. JAIR.
PDF Dataset Project DOI
Md Fahim Sikder, Resmi Ramachandranpillai, Daniel De Leng, Fredrik Heintz (2024). Generative Models for Time-Series and Fair Data Generation. SSBA/SSDL 2024 as extended abstract.
Poster Project Project
Md Fahim Sikder, Md Ferdous, Shraboni Afroz, Uzzal Podder, Kaniz Fatema, Mohammad Nahid Hossain, Md Tahmid Hasan, Mrinal Kanti Baowaly (2023). Explainable Bengali Multiclass News Classification. ICCIT 2023.
Pre-print Dataset Code DOI