Current study
Path Planning
Reading and implementation work around graph search, changing constraints, and reproducible comparison of route-planning methods.
- A* search
- Dynamic replanning
- Evaluation
Taha Burak Özdemir
Robotics and path planning for autonomous systems.
Research Assistant · PhD Student · İnönü University
My current study is moving toward robotics and path-planning algorithms. My master's research focused on machine-learning methods for ship analysis in Sentinel-1 SAR imagery.
Click the field to set a new target. Drag the dynamic obstacle to force the planner to recompute.
Dynamic path planning
Interactive route replanning for drone and UGV motion models.
Research direction
Current and previous research
The current direction is taking shape through reading, implementation, and evaluation. Earlier SAR work provides the completed research foundation.
Adjacent question
Multi-Agent Systems
A related systems question: how route planning and task allocation interact when autonomous agents coordinate.
- Coordination
- Task allocation
- Autonomous systems
Master's foundation
Machine Perception
The completed research line behind the publication record: SAR imagery, feature extraction, and machine-learning classifiers for ship analysis.
- SAR imagery
- Feature extraction
- Classification
Research output
Publications and academic outputs
Journal articles, conference contributions, my master's thesis, and the final report of the TÜBİTAK project to which I contributed.
Google Scholar profile- Journal article
- Journal article
- Conference paper
Noise Reduced SAR Ship Database
2024 8th International Artificial Intelligence and Data Processing Symposium (IDAP)21–22 September 2024Malatya, Türkiyepp. 1–6
Research work
Selected research work
Current path-planning studies and completed SAR research, listed separately from independent software projects.
Current study · evolving
In progressPath-planning experiments
Small implementations used to compare graph search, changing obstacles, and replanning behaviour while the doctoral research question becomes more specific.
Completed research · TÜBİTAK 123E344
CompletedSAR ship analysis and detection
Master's-era research and scholarship-supported contribution to TÜBİTAK project 123E344 on ship detection in Sentinel-1 SAR imagery, including dataset construction, noise preprocessing, and machine-learning benchmarks.
Profile
About
I'm a Research Assistant and PhD researcher in Computer Engineering at İnönü University. My academic background brings together software engineering, machine learning, computer vision, and experimental research software.
Academic journey
Education
Academic training in software engineering, followed by doctoral study in computer engineering.
Computer Engineering · PhD
İnönü University · Malatya
Research direction
The research direction is taking shape around robotics, path-planning algorithms, and autonomous systems.
Software Engineering · MSc
İnönü University · Malatya
Thesis focus
Master's research on machine-learning methods for ship analysis in Sentinel-1 SAR imagery.
Software Engineering · BSc
Bahçeşehir University · İstanbul
Methods & infrastructure
Research practice
The technical practice behind current algorithm studies, published SAR research, and inspectable research software.
Computational research
Algorithm prototyping, model development, and reproducible evaluation.
- Python
- PyTorch
Remote-sensing workflow
Dataset preparation and raster processing from the completed Sentinel-1 SAR research.
- GDAL
- ESA SNAP
Research software
Interfaces and services used to turn experiments into inspectable software.
- TypeScript
- React
- Next.js
- Node.js
- Express
- MongoDB Atlas
Correspondence
Let's discuss a research question.
If you have a question, a collaboration idea, or a technical point to discuss around robotics, path planning, autonomous systems, or my earlier SAR work, you are welcome to write.
tahaburak.ozdemir@inonu.edu.trFor academic and technical correspondence