Md Fahim Sikder

Md Fahim Sikder

Postdoc
Linköping University · AIICS · ReAL Lab
Fair Synthetic DataGenerative ModelsTrustworthy AIML for Healthcare

About

Md Fahim Sikder is a postdoctoral researcher at the ReAL Lab. He defended his PhD thesis 'Representative Synthetic Data for Fair Decision Making' at LiU in 2025. His research spans fair GANs (Bt-GAN in JAIR 2024), intersectional fairness through knowledge distillation (ECAI 2025), time-series diffusion models (Transfusion, Machine Learning with Applications 2025), and the FairX benchmarking tool. Over 200 citations on Google Scholar.

Publications 12

2025
Journal
TransFusion: Generating long, high fidelity time series using diffusion models with transformers
Md Fahim Sikder, Resmi Ramachandran Pillai, Fredrik Heintz
Machine Learning with Applications 20:100652
Thesis
Representative Synthetic Data for Fair Decision Making
Md Fahim Sikder
Linköping Studies in Science and Technology. Dissertations 2495, Linköping University Electronic Press, Linköping
Conference
Promoting Intersectional Fairness through Knowledge Distillation
Md Fahim Sikder, Resmi Ramachandranpillai, Daniel de Leng, Fredrik Heintz
, Inês Lynce, Nello Murano, Mauro Vallati, Serena Villata, Federico Chesani, Michela Milano, Andrea Omicini, Mehdi Dastani (eds.), pp. 3427-3434, IOS Press
2024
Other
Generating Synthetic Fair Syntax-agnostic Data by Learning and Distilling Fair Representation
Md Fahim Sikder, Resmi Ramachandranpillai, Daniel de Leng, Fredrik Heintz
Other
FairX: A comprehensive benchmarking tool for model analysis using fairness, utility, and explainability
Md Fahim Sikder, Resmi Ramachandranpillai, Daniel de Leng, Fredrik Heintz
Conference
FairX
Md Fahim Sikder, Resmi Ramachandranpillai, Daniel de Leng, Fredrik Heintz
Proceedings of the 2nd Workshop on Fairness and Bias in AI, co-located with 27th European Conference on Artificial Intelligence (ECAI 2024), Roberta Calegari,Virginia Dignum, Barry O’Sullivan (eds.), CEUR Workshop Proceedings, CEUR
Other
Fair4Free: Generating High-fidelity Fair Synthetic Samples using Data Free Distillation
Md Fahim Sikder, Daniel de Leng, Fredrik Heintz
Journal
Bt-GAN: Generating Fair Synthetic Healthdata via Bias-transforming Generative Adversarial Networks
Resmi Ramachandranpillai, Md Fahim Sikder, David Bergström, Fredrik Heintz
The journal of artificial intelligence research 79:1313-1341
2023
Other
High Fidelity Time Series using Diffusion Models with Transformers
Md Fahim Sikder, Resmi Ramachandranpillai, Fredrik Heintz, TransFusion: Generating Long
Conference
Fair Latent Deep Generative Models (FLDGMs) for Syntax-Agnostic and Fair Synthetic Data Generation
Resmi Ramachandranpillai, Md Fahim Sikder, Fredrik Heintz
, pp. 1938-1945
Conference
Explainable Bengali Multiclass News Classification
Md Fahim Sikder, Md Ferdous, Shraboni Afroz, Uzzal Podder, Kaniz Fatema, Mohammad Nahid Hossain, et al.
2023 26th International Conference on Computer and Information Technology (ICCIT), Institute of Electrical and Electronics Engineers (IEEE)
2021
Other
Bangla Handwritten Digit Recognition and Generation
Md Fahim Sikder
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