AI Researcher | TBM (Tunnel Boring Machine) Enthusiast | Data-Driven Engineering
- Passionate about applying artificial intelligence to tunnel boring machine (TBM) applications.
- Exploring how machine learning can enhance cutter wear prediction and lithology identification.
- Currently implementing supervised and unsupervised learning models for TBM performance optimization.
- Looking to collaborate on innovative research in autonomous TBM advancement and AI-driven geomechanics.
- Programming & Data: Python
- Machine Learning: scikit-learn, TensorFlow, PyTorch
- Data Science: Pandas, NumPy, Matplotlib, Seaborn
- Domain Knowledge: TBM mechanics, rock cutting processes, geotechnical engineering, tunnelling
- Email: kilic_kursat@hotmail.com
- GitHub: @kilickursat
- Open to academic and industry collaborations on AI + TBM research!
"Bridging the gap between geotechnical engineering and artificial intelligence for smarter, safer tunneling."

