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Research


Current research in IoT machine Learning and Markovian dynamics.

Research Interests

  • Quantitative Finance and Financial AI
  • Applied Machine Learning and Data Science
  • Biomedical Mathematics and Modeling
  • Statistical Learning Theory

Current Research

Sleep Disorder Classification using Machine Learning

IBS Biomedical Mathematics Group, South Korea
Dec 2024 – June 2025

Natural Language Processing and Cultural Computing

Users & Informations Lab, KAIST
Aug 2024 – Dec 2024

  • Developed cultural benchmark datasets for low-resource languages
  • Evaluated Large Language Models on language understanding and reasoning tasks
  • Research paper in submission

AI Fairness and Bias Mitigation

Data Strategy Lab, KAIST
Apr 2024 – May 2024

  • Conducted comprehensive review of bias mitigation techniques in AI
  • Studied fairness metrics and their applications
  • Analyzed impact of data bias on model performance
  • Focus: Algorithmic fairness, ethical AI

Publications and Preprints

Preprints

  1. BLUCK: A Benchmark Dataset for Bengali Linguistic Understanding and Cultural Knowledge
    Daeen Kabir, Minhajur Rahman Chowdhury Mahim, Sheikh Shafayat, Adnan Sadik, Arian Ahmed, Eunsu Kim, Alice Oh
    arXiv preprint arXiv:2505.21092