Assistant Professor, Department of Software Engineering, OSTİM Technical University, Ankara, Türkiye
🎓 PhD – Computer Science · 🎓 M.Sc. – Nanotechnology · 🎓 B.Sc. – Mathematics
- Autonomous drone systems
- Visual-inertial odometry (VIO) and SLAM
- State estimation (EKF / UKF / hybrid filters)
- Computer vision and image processing
- AI for robotics
- Unreal Engine-based drone simulation
- Cadence Virtuoso (IC design)
- Physical AI systems and real-world deployment
| Year | Publication | Code |
|---|---|---|
| 2026 | U. Asil, İ. Yoncacı. Geometry-Constrained Multi-Frame Character Association for License Plate Recognition on Moving Cameras. Sensors 26(18), 5704. doi:10.3390/s26185704 | geo-ctm |
| 2025 | U. Asil, E. Nasibov. Adaptive Covariance and Quaternion-Focused Hybrid Error-State EKF/UKF for Visual-Inertial Odometry. International Journal of Computational Intelligence Systems 18, 206. doi:10.1007/s44196-025-00942-0 | Qf-ES-EKF/UKF |
| 2024 | U. Asil, E. Nasibov. Conservation of Wildlife in Hunting Tourism Using Artificial Intelligence and Image Processing in Smart Firearms. Information Technologies and Their Applications, CCIS, Springer, pp. 67–75. doi:10.1007/978-3-031-73420-5_6 | — |
| 2023 | U. Asil, E. Nasibov. Sex Detection in the Early Stage of Fertilized Chicken Eggs via Image Recognition. International Journal of Computer Science and Information Technology 15(2), 19–26. doi:10.5121/ijcsit.2023.15202 | — |
- geo-ctm: geometry-constrained multi-frame license plate recognition for moving cameras (Sensors 2026)
- Qf-ES-EKF/UKF VIO: adaptive hybrid ESKF/UKF visual-inertial odometry (IJCIS 2025)
- Adaptive-VIO-Odometry: adaptive VIO with SuperGlue and a dynamic EKF
- sneakpath-benchmark: min-max multi-vehicle routing on grid-structured fields