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_/ RESEARCH

Research focused on reliable, explainable and useful intelligent systems.

Selected focus areas across intelligent systems and research engineering.

Recommender Systems

Recommendation quality, representation and evaluation across popularity and long-tail behavior.

  • Recommendation algorithms
  • Popularity bias
  • Long-tail recommendation
  • Evaluation protocols
  • User and item representation
  • Quality and fairness

Robust and Trustworthy AI

Reliable recommendation under adversarial behavior and demanding evaluation scenarios.

  • Shilling attacks
  • Adversarial robustness
  • Attack detection
  • Robust recommendation
  • Model reliability
  • Trustworthy evaluation

Explainable Machine Learning

Interpretable prediction and transparent evidence for decision-support systems.

  • SHAP-based interpretation
  • Feature importance
  • Surrogate modelling
  • Decision support
  • Transparent prediction systems

AI for Interdisciplinary Applications

Data-informed methods for built environments, wearable sensing and smart campuses.

  • Building energy performance
  • Wearable stress recognition
  • Smart campus systems
  • Occupancy prediction
  • Environmental data analysis
IBYIsmail Burak Yavru, PhD

Research, engineering and education for intelligent and reliable systems.

Designed with clarity. Built with purpose.

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