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MuratKarslioglu/README.md

Murat Karslıoğlu

Artificial Intelligence & Data Science Researcher

Computer Engineering Student | Optimization Algorithms | AI Research


👨‍💻 About Me

I am a Computer Engineering student with 2.5+ years of research-oriented experience in Artificial Intelligence and Data Science.
My work focuses on optimization algorithms, intelligent decision systems, machine learning, and computational modeling.

I combine analytical thinking with algorithmic design to develop innovative, efficient, and research-driven solutions.

  • 🎓 Sakarya University of Applied Sciences – Computer Engineering
  • 📊 ALES (Quantitative – 2025): 89.49
  • 📍 Istanbul, Türkiye
  • 📧 Email: karsliogluu00@gmail.com

🔬 Research Experience

Artificial Intelligence & Data Science Research Assistant

AI & Data Science Application and Research Center
Sep 2024 – Present

  • Development of ML, DL, and Reinforcement Learning models
  • Genetic & Chaotic Algorithm-based optimization systems
  • Fuzzy Logic and Multi-Criteria Decision Making implementations
  • Quantum computation simulations for optimization research
  • Academic writing: papers and conference publications

🧠 Research Interests

  • Artificial Intelligence
  • Optimization Algorithms
  • Genetic & Chaotic Systems
  • Reinforcement Learning
  • Decision Support Systems
  • Quantum Computing

🛠 Technical Skills

Programming Languages

  • C / C++
  • Python
  • Flutter

Artificial Intelligence

  • Machine Learning
  • Deep Learning
  • Reinforcement Learning
  • Hyperparameter Optimization

Algorithms & Modeling

  • Genetic Algorithms
  • Chaotic Algorithms (Henon Map)
  • Fuzzy Logic
  • TOPSIS
  • Multi-Criteria Decision Making (MCDM)
  • Algorithm Analysis & Design
  • UML & System Modeling

🚀 Projects

NASA – Exoplanet Detection with AI (2025)

  • Hybrid Fuzzy Logic + PPO model
  • K2 Mission light curve data preprocessing
  • Signal classification & transit detection
  • Achieved 94% accuracy

Technologies: Python, NumPy, Pandas, Scikit-learn, Deep Learning, Reinforcement Learning


Chaos & TOPSIS-Based Container Logistics Optimization

  • Synthetic dataset generation using Henon chaotic map
  • Multi-criteria ranking with TOPSIS
  • Decision-support system for container logistics optimization

Technologies: Python, SciPy, NumPy, Pandas


📫 Contact

Popular repositories Loading

  1. MuratKarslioglu MuratKarslioglu Public

  2. container-box-selection-chaos-topsis container-box-selection-chaos-topsis Public

    Synthetic container loading dataset generation using Hénon Map & Lorenz System, with TOPSIS-based selection

    Python

  3. 3d-packing-quantum-classical-rl 3d-packing-quantum-classical-rl Public

    3D container loading optimization using classical RL (PPO, A3C) and quantum-classical hybrid RL (Quantum PPO, Quantum A3C) with VQE actor and QAOA critic circuit

    Python

  4. quantum-boosting-hyperopt quantum-boosting-hyperopt Public

    Quantum circuit-based hyperparameter optimization for boosting algorithms (XGBoost, AdaBoost, GradientBoost, CatBoost, LightGBM) using PennyLane variational circuits — classical vs quantum comparison

    Jupyter Notebook

  5. k2-exoplanet-detection k2-exoplanet-detection Public

    ML pipeline for exoplanet candidate detection from NASA K2 Mission stellar light curves — feature extraction, SMOTE balancing, Decision Tree and Random Forest classification

    Jupyter Notebook