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| Gazi Erkan Bostanci |
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| Ankara University, Ankara |
| Regular Member |
| Personal Web Site: |
| Main page: http://www.mirlabs.net/global/index.php?c=main&a=person&id=1332 |
| Short Biography |
Erkan Bostanci received a BSc degree in Computer Engineering Department from Ankara University, Turkey in 2007. Consequently, he joined the same department as a Research Assistant and completed his MSc on real-time battlefield simulation in 2009. He received his PhD from School of Computer Science and Electronic Engineering, University of Essex, United Kingdom in 2014 with his thesis on real-time user tracking for augmented reality. He started working with the Gendarmerie Schools Command as a Planning Officer Designate in June, 2014 where he conducted the research for analysing crime scenes. He was promoted to Second Lieutenant in January, 2015. Having completed his military service, he currently continues his post in Ankara University as an Assistant Professor. His research interests include different yet closely related aspects of computer science from image processing, computer vision and graphics to artificial intelligence and fuzzy logic as well as mathematical modelling and statistical analysis. He recently developed a vision-based user tracking system for various augmented reality applications for cultural heritage in particular. Dr. Bostanci has been involved in technical committees for several conferences and acted as a reviewer for various journals.. |
| List of top 5 publications in the last 5 years |
1. Bostanci, E., Bostanci, B., Kanwal, N., Clark, A. F., “Sensor Fusion of Camera, GPS and IMU using Fuzzy Adaptive Multiple Motion Models", Soft Computing, pp.1-17, 2017 (SCI-expanded) 2. Bostanci, E., “Enhanced image coverage using evolutionary key-point selection”, The Imaging Science Journal, 2017 (SCI-core) 3. Ar, Y., Bostanci, E., “A genetic algorithm solution to the collaborative filtering problem”, Expert Systems with Applications, 2016. (SCI-expanded) 4. Kanwal, N., Bostanci, E., Clark, A. F., “Evaluation Method, Dataset Size or Dataset Content: How to Evaluate Algorithms for Image Matching?", Journal of Mathematical Imaging and Vision, vol. 55, no.3, pp. 378-400, 2016 (SCI-core) 5. Bostanci, E., Kanwal, N., Clark, A. F., “Augmented Reality Applications for Cultural Heritage Using Kinect", Human-Centric Computing and Information Sciences, vol.5, no.20, Springer, 2015. (SCI-expanded) |
| List of top 5 academic activities during the last 5 years |
| International Conference on Theoretical and Applied Computer Science and Engineering, 10-11 November 2017, Turkey |