Asst. Prof. OSMAN SERDAR GEDİK

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UN Sustainable Development Goals

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Education

Dissertations

Foreign Languages

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Academic Positions

2015 - Continues

Supervised Theses

Journal articles indexed in SCI, SSCI, and AHCI

Papers Presented at Peer-Reviewed Scientific Conferences

Funded Projects

Asst. Prof. OSMAN SERDAR GEDİK

Mühendislik ve Doğa Bilimleri Fakültesi, Bilgisayar Mühendisliği

Bilgisayar Donanımı

WoS Research Areas: Computer Science Information Systems, Engineering Electrical & Electronic, Computer Science Artificial Intelligence, Computer Science Software Engineering

Avesis Research Areas: algorithms, Computer Vision, Pattern Recognition and Image Processing, Neural Networks

Names in Publications: Gedik O. Serdar

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Publication (WoS)

Publication (Scopus)

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Intellectual Property

Thesis Advisory

Open Access

Announcements & Documents

Thesis Documents

Education

Doctorate

Middle East Technical University, Graduate School Of Natural And Applied Sciences, Elektrik-Elektronik Mühendisliği (Dr), Turkey

Postgraduate

Middle East Technical University, Graduate School Of Natural And Applied Sciences, Elektrik Ve Elektronik Mühendisliği (Yl) (Tezli), Turkey

Undergraduate

Middle East Technical University, Faculty Of Engineering, Elektrik-Elektronik Mühendisliği Bölümü, Turkey

Dissertations

Doctorate

Accurate 3D tracking using visual and depth data

Orta Doğu Teknik Üniversitesi, Türk Halkoyunları, Elektrik-Elektronik Mühendisliği (Dr)

Postgraduate

MOTION COMPENSATED FRAME RATE INCREASE AND ITS EXTENSIONS TO MULTIVIEW VIDEO

Orta Doğu Teknik Üniversitesi, Türk Halkoyunları, Elektrik Ve Elektronik Mühendisliği (Yl) (Tezli)

Foreign Languages

English

Research Areas

algorithms

Computer Vision

Pattern Recognition and Image Processing

Neural Networks

Academic Positions

Assistant Professor

Yıldırım Beyazıt Üniversitesi, Mühendislik Ve Doğa Bilimleri Fakültesi, Bilgisayar Mühendisliği Bölümü

Supervised Theses

Doctorate

A Novel and Efficient Method for Face Recognition Using Original and Symmetrical Samples

GEDİK O. S. (Advisor)

S.Omran(Student)

Journal articles indexed in SCI, SSCI, and AHCI

Sine-Net: A fully convolutional deep learning architecture for retinal blood vessel segmentation

ATLI İ., GEDİK O. S.

Engineering Science and Technology, an International Journal , vol.24, no.2, pp.271-283, 2021 (SCI-Expanded)

Feed-forward versus recurrent architecture and local versus cellular automata distributed representation in reservoir computing for sequence memory learning

Margem M., GEDİK O. S.

Artificial Intelligence Review , vol.53, no.7, pp.5083-5112, 2020 (SCI-Expanded)

Face recognition with symmetrical face training samples based on local binary patterns and the gabor filter

Allagwail S., Gedik O. S., Rahebi J.

Symmetry , vol.11, no.2, 2019 (SCI-Expanded)

Reservoir computing based on cellular automata (RECA) in sequence learning

Margem M., Gedik O. S.

Journal of Cellular Automata , vol.14, pp.153-170, 2019 (SCI-Expanded)

3-D rigid body tracking using vision and depth sensors

Gedik O. S., ALATAN A. A.

IEEE Transactions on Cybernetics , vol.43, no.5, pp.1395-1405, 2013 (SCI-Expanded)

Papers Presented at Peer-Reviewed Scientific Conferences

3D Reconstruction of Coronary Artery Vessels from 2D X-Ray Angiograms and Their Pose's Details 2B X-Ray Görüntüleri ve Bu Görüntülerin Poz Detaylari ile 3B Koroner Arter Aǧacinin Geriçatimi

Yavuz Uluhan G., GEDİK O. S.

30th Signal Processing and Communications Applications Conference, SIU 2022, Safranbolu, Turkey, 15 - 18 May 2022, (Full Text)

VESUNETDeep: A fully convolutional deep learning architecture for automated vessel segmentation VESUNETDeep: Otomatik damar bölütlemesi için tamamen evrişimsel derin Öǧrenme mimarisi

ATLI İ., GEDİK O. S.

27th Signal Processing and Communications Applications Conference, SIU 2019, Sivas, Turkey, 24 - 26 April 2019, (Full Text)

The performance evaluation of histogram of oriented gradients as a feature on vessels detection using artificial neural network Yapay Sinir Agi Kullanilarak Damar Tespitinde Bir Öznitellik Olarak Yönlendirilmis Gradyanlarin Histograminin Performans Degerlendirmesi

ATLI İ., GEDİK O. S.

26th IEEE Signal Processing and Communications Applications Conference, SIU 2018, İzmir, Turkey, 2 - 05 May 2018, pp.1-4, (Full Text)

Yapay Sinir Ağı Kullanılarak Damar Tespitinde Bir Özellik Olarak Gradyanların Histogramının Performans Değerlendirmesi

ATLI İ., GEDİK O. S.

IEEE Sinyal İşleme ve İletişim Uygulamaları Kurultayı, Turkey, 2 - 05 May 2018, (Full Text)

Efficient Preprocessing and Feature Extraction for Robust Face Recognition

Algharib H., GEDİK O. S.

IST International Symposium on Electronic Imaging, San-Francisco, Costa Rica, 28 January - 01 February 2018, (Full Text)

Contrast enhancement effect on high dynamic range image registration using mutual information