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BeAfsar/README.md

Bekir Afsar, PhD

I'm a data scientist focused on data-driven decision support, multiobjective optimization, and explainable AI. My work combines advanced computational modeling with real-world decision needs in domains such as forestry, sustainability, and manufacturing.

Lead Use Case: Forest Biodiversity Digital Twin (EU BioDT)
Open Source: Contributor to DESDEO – interactive decision support framework
Recognition: Google Prize for Outstanding Paper (IEEE CITREx 2025)


Selected Projects

  • Forest Biodiversity Digital Twin – BioDT Use Case
    Predictive modeling workflows for forest planning using LANDIS-II, HMSC, and spatial ecological data. Built for EU BioDT and deployed on LUMI supercomputer.

  • DESDEO Framework
    Open-source platform for interactive multiobjective optimization and explainable decision support tools.

  • Explainable Optimization – KKT-LIME
    Award-winning method combining Karush–Kuhn–Tucker (KKT) optimality with LIME to explain interactive multiobjective optimization.
    Received the Google Prize for Outstanding Paper (IEEE CITREx 2025)


Tools & Interests

  • R, Python, Git, Jupyter
  • LANDIS-II, HMSC, QGIS, LUMI HPC
  • Predictive modeling, XAI, optimization, reproducible workflows
  • Spatial analytics, stakeholder-driven AI

LinkedInUniversity Profile

Pinned Loading

  1. DESDEO DESDEO Public

    Forked from industrial-optimization-group/DESDEO

    An open source framework for interactive multiobjective optimization methods

    Python

  2. kkt-lime-explanations kkt-lime-explanations Public

    Forked from industrial-optimization-group/kkt-lime-explanations

    Generating trade-off explanations using KKT multipliers

    Jupyter Notebook

  3. shap-experiments shap-experiments Public

    Forked from gialmisi/shap-experiments

    Experiments with SHAP values in interactive multiobjective optimization.

    Jupyter Notebook

  4. BioDT/uc-forest-bird BioDT/uc-forest-bird Public

    R 1 2