Projects per year
Personal profile
Education/Academic qualification
PhD, ORTA DOĞU TEKNİK ÜNİVERSİTESİ
2014 → 2016
PhD, Technische Universitaet München
2013 → 2014
PhD, Non-parametric and semi-parametric regional modeling of the ionospheric vertical total electron content using ground-based GPS observations, ORTA DOĞU TEKNİK ÜNİVERSİTESİ
2008 → 2013
Master, One-dimensional real-time signal denoising using wavelet-based Kalman filtering, ORTA DOĞU TEKNİK ÜNİVERSİTESİ
2003 → 2008
Bachelor, ORTA DOĞU TEKNİK ÜNİVERSİTESİ
1996 → 2002
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 13 Climate Action
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Collaborations and top research areas from the last five years
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Robotik Talaşlı İmalat Süreçleri İçin Takımyolu Boyunca Pozisyon Takip ve Titreşim Sönümleyici Sistem Geliştirilmesi
Durmaz, M. (CoI)
1/05/18 → …
Project: Research › TUBITAK
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Sabit GNSS İstasyonlarına Ait Zaman Serilerinde Zayıf Sinyallerin Tespit Edilmesi
Durmaz, M. (CoI)
1/05/14 → 1/08/16
Project: Research › TUBITAK
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Derin Ö?grenme Tabanli Öznitelik Tespit ve Eşleme Algoritmalarinin GNSS/Görsel-Ataletsel Seyrüsefer Sistemleri Üzerindeki Başarim Analizi
Ocal, M. F., Durmaz, M. & Yildiz, H., 2026, SIU 2026 - 34th Signal Processing and Communications Applications Conference, Conference Proceedings. Institute of Electrical and Electronics Engineers Inc., (SIU 2026 - 34th Signal Processing and Communications Applications Conference, Conference Proceedings).Translated title of the contribution :Performance Evaluation of Deep Learning-Based Feature Detection and Matching Algorithms in GNSS/Visual-Inertial Navigation Systems Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Assessment of Smartphone GNSS Measurements in Tightly Coupled Visual Inertial Navigation
Ocal, M. F., Durmaz, M., Tunali, E. & Yildiz, H., 3 Dec 2025, In: Applied Sciences (Switzerland). 15, 23, 28 p., 12796.Research output: Contribution to journal › Article › peer-review
Open Access2 Citations (Scopus) -
Terrestrial mobile gravimetry using a temperature stabilized IMU
Akdoğan, Y. A., Durmaz, M. & Yildiz, H., 31 Mar 2025, In: Measurement Science and Technology. 36, 3, 035113.Research output: Contribution to journal › Article › peer-review
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Seismic risk prioritization of masonry building stocks using machine learning
Coskun, O., Aktepe, R., Aldemir, A., Yilmaz, A. E., Durmaz, M., Erkal, B. G. & Tunali, E., Nov 2024, In: Earthquake Engineering and Structural Dynamics. 53, 14, p. 4432-4450 19 p.Research output: Contribution to journal › Article › peer-review
Open Access7 Citations (Scopus) -
IN AND END OF SEASON SOYBEAN YIELD PREDICTION WITH HISTOGRAM BASED DEEP LEARNING
Erik, E., Durmaz, M. & Ok, A., 21 Apr 2023, In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives. 48, M-1-2023, p. 95-100 6 p.Research output: Contribution to journal › Conference article › peer-review
Open Access1 Citation (Scopus)