Optimization • Vehicle Routing • Full-Stack Development
I'm passionate about solving complex Routing Problems using metaheuristic optimization. My work focuses on building intelligent systems, AI agents, and cloud computing.
- Routing Problems
- Metaheuristic Optimization
- Machine Learning & Deep Learning
- Fleet Management Systems
📄 You can explore my portfolio & projects here: https://yasin-unal.super.site/
- 🚀 Coming Soon → Real-Time Routing with Electric Vehicle Fleets in Urban Logistics
- 📄 Real-Time Routing with Vehicle Failure and Traffic Awareness in Last-Mile Delivery - Ünal, Y., Polat, A. A., Sarıçiçek, İ., Bozkurt Keser, S., Akalın, K. B., & Yazıcı, A. (2025), Engineering and Applied Science Letters (EASL), 2025
- 📄 Electric Vehicle Routing with Time Windows and Charging Stations from the Perspective of Customer Satisfaction - Ünal, Y., Sarıçiçek, İ., Bozkurt Keser, S., & Yazıcı, A. (2025), Applied Sciences, 2025
- 📄 Adaptive Large Neighborhood Search Approach for Electric Vehicle Routing Problem Ünal, Y., Sarıçiçek, İ., Bozkurt Keser, S., & Yazıcı, A. (2024). - Ünal, Y., Sarıçiçek, İ., Bozkurt Keser, S., & Yazıcı, A. (2025), TOK Conference, 2024
- soon . . .
A collection of interactive Streamlit applications for routing, traffic analysis, EVRP visualization, and geo-analytics. Includes tools for traffic flow exploration, map-based routing, dynamic request simulations, and more.
Tech Stack: Routing Streamlit Visualizing Monitoring Map
soon . . . Advanced routing optimization system using Adaptive Large Neighborhood Search (ALNS) for electric vehicle fleets with charging station integration.
Tech Stack: Python ALNS OpenStreetMap Streamlit
Comprehensive toolkit for validating, converting, and visualizing routing data in RML format.
Tech Stack: Python XML/XSD React D3.js
- LinkedIn: Yasin Ünal
- Email: yasin0.unal@gmail.com
- ResearchGate: Yasin Unal
- YouTube: Yasin Unal
⭐️ From Pilestin


