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personal data approved: 2021. I. 01.
Personal data
Gábor Kertész
name Gábor Kertész
name of institution
doctoral school
OE Doctoral School of Applied Informatics and Applied Mathematics (Supervisor)
Academic title
scientific degree, title Ph.D.
year degree was obtained 2019
discipline to which degree belongs computer sciences
institution granting the degree Obuda University
Employment
2020 - Universitas Budensis
other (not specified) (adjunktus)
2019 - Számítástechnikai és Automatizálási Kutatóintézet (SZTAKI)
other (not specified) (tudományos munkatárs)
Thesis topic supervisor
number of doctoral students supervised until now 1
number of students who fulfilled course requirements 0
students who obtained their degrees:
present PhD students:
(50%) Farida Asadova (PhD) (2024/08)  DSAIAM
(50%) Attila Farkas (PhD) (2024/01)  DSAIAM
(50%) Ahmed Al-Hami (PhD) (2023/08)  DSAIAM
Research
research area parallel processing and application of deep neural networks
research field in which current research is conducted computer sciences
Publications
2021

Gábor Kertész, Sándor Szénási, Zoltán Vámossy: Comparative Analysis of Image Projection-based Descriptors in Siamese Neural Networks, ADVANCES IN ENGINEERING SOFTWARE 154: p. 102963.
type of document: Journal paper/Article
language: English
URL 
2020

Szénási Sándor, Kertész Gábor, Felde Imre, Nádai László: Statistical accident analysis supporting the control of autonomous vehicles, JOURNAL OF COMPUTATIONAL METHODS IN SCIENCES AND ENGINEERING pp. 1-13.
type of document: Journal paper/Article
number of independent citations: 2
language: English
URL 
2020

Kertész Gábor: Metric Embedding Learning on Multi-Directional Projections, ALGORITHMS 13: (6) 133
type of document: Journal paper/Article
number of independent citations: 2
language: English
URL 
2020

Kiss Dániel, Kertész Gábor, Jaskó Máté, Szénási Sándor, Lovrics Anna, Vámossy Zoltán: Evaluation of colony formation dataset of simulated cell cultures, ANNALES MATHEMATICAE ET INFORMATICAE 51: pp. 41-52.
type of document: Journal paper/Article
language: English
URL 
2019

Gábor Kertész, Sándor Szénási, Zoltán Vámossy: A novel method for Convolutional Neural Architecture Generation with memory limitation, In: Szakál, Anikó (szerk.) 2019 IEEE 17TH WORLD SYMPOSIUM ON APPLIED MACHINE INTELLIGENCE AND INFORMATICS (SAMI 2019), IEEE (2019) pp. 229-234.
type of document: Part of book/Proceedings Paper
number of independent citations: 1
language: English
URL 
2019

Gábor Kertész, Sándor Szénási, Zoltán Vámossy: Distributed training and evaluation of projection-based descriptors in Siamese Neural Networks, In: P., Iványi; B. H., V. Topping (szerk.) Proceedings of the Sixth International Conference on Parallel, Distributed, GPU and Cloud Computing for Engineering, Civil-Comp Press (2019) pp. 1-12.
type of document: Part of book/Proceedings Paper
number of independent citations: 1
language: English
URL 
2018

Gábor Kertész, Sándor Szénási, Zoltán Vámossy: Multi-Directional Image Projections with Fixed Resolution for Object Matching, ACTA POLYTECHNICA HUNGARICA 15: (2) pp. 211-229.
type of document: Journal paper/Article
number of independent citations: 5
language: English
URL 
2017

Gábor Kertész, Sándor Szénási, Zoltán Vámossy: Application and properties of the Radon transform for object image matching, In: Szakál, A (szerk.) SAMI 2017 : IEEE 15th International Symposium on Applied Machine Intelligence and Informatics, IEEE (2017) pp. 353-358.
type of document: Part of book/Proceedings Paper
number of independent citations: 3
language: English
URL 
2015

Kertész G, Szénási S, Vámossy Z: Performance Measurement of a General Multi-Scale Template Matching Method, In: Szakál, A (szerk.) 19th IEEE International Conference on Intelligent Engineering Systems, IEEE (2015) pp. 153-158.
type of document: Part of book/Proceedings Paper
number of independent citations: 7
language: English
URL 
2015

Gábor Kertész, Sándor Szénási, Zoltán Vámossy: Parallelization Methods of the Template Matching Method on Graphics Accelerators, In: Szakál, Anikó (szerk.) 16th IEEE International Symposium on Computational Intelligence and Informatics, CINTI 2015, IEEE (2015) pp. 161-164.
type of document: Part of book/Proceedings Paper
number of independent citations: 10
language: English
URL 
Number of independent citations to these publications:31 
Scientometric data
list of publications and citations
number of scientific publications that meet accreditation criteria:
27
number of scientific publications:
27
monographs and professional books:
0
monographs/books in which chapters/sections were contributed:
0 
number of independent citations to scientific publications and creative works:
46
Supervision
thesis supervisor Zoltán Vámossy
co-supervisor Sándor Szénási
one supervisor or with co-supervisor co-supervisor
degree PhD
starting of doctoral studies 2015
date of final certificate (year,month) 2018/01
year in which degree was obtained 2019
diszertáció Main findings in the thesis (in Hungarian)Main findings in the thesis (in English)The thesis
data of the public discussion defense


2021. V. 01.
ODT online ülés
Az ODT következő, online ülésére 2021. május 21-én 10.00 órakor kerül sor.

 
All rights reserved © 2007, Hungarian Doctoral Council. Doctoral Council registration number at commissioner for data protection: 02003/0001. Program version: 2.2358 ( 2017. X. 31. )