Login
 Forum
 
 
Personal data sheet
 Print preview
personal data approved: 2024. I. 09.
Personal data
Zoltán Kincses
name Zoltán Kincses
name of institution
doctoral school
SzTE Doctoral School of Computer Science (Academic staff member)
the share of work in the different doctoral schools. SzTE Doctoral School of Computer Science 100%
Contact details
E-mail address kincseszinf.u-szeged.hu
phone number +36 62 546-719
own web page
Academic title
scientific degree, title Ph.D.
year degree was obtained 2013
discipline to which degree belongs computer sciences
institution granting the degree Univerity of Pannonia
Employment
2009 - University of Szeged
university professor or researcher
Thesis topic supervisor
number of doctoral students supervised until now 0
number of students who fulfilled course requirements 0
students who obtained their degrees:
(50%) László Schäffer PhD 2022  IDI2-SzTE

  Thesis topic proposals
Research
research area Implementations of emulated digital CNN-UM, FPGA-based image processing, FPGA-based myoelectric signal processing, FPGA-based HIL systems, wireless sensor networks.
research field in which current research is conducted computer sciences
Publications
2021

Schaffer L., Nagy Zoltan, Kincses Zoltan, Fiath Richard, Ulbert Istvan: Spatial information based OSort for real-time spike sorting using FPGA, IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING 68: (1) pp. 99-108.
type of document: Journal paper/Article
number of independent citations: 10
language: English
URL 
2020

Kaló Ádám, Kincses Zoltán, Schäffer László, Pletl Szilveszter: Indoor localization simulation framework for optimized sensor placement to increase the position estimation accuracy, ANNALES MATHEMATICAE ET INFORMATICAE 51: pp. 29-39.
type of document: Journal paper/Article
language: English
URL 
2019

Schaffer Laszlo, Pletl Szilveszter, Kincses Zoltan: Spike Detection Using Cross-Correlation Based Method, In: Szakál, Anikó (szerk.) INES 2019 : IEEE 23nd International Conference on Intelligent Engineering Systems, IEEE (2019) pp. 000175-000178.
type of document: Part of book/Proceedings Paper
number of independent citations: 4
language: English
URL 
2019

Peter Sarcevic, Zoltan Kincses, Szilveszter Pletl: Online human movement classification using wrist-worn wireless sensors, JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING 10: (1) pp. 89-106.
type of document: Journal paper/Article
number of independent citations: 31
language: English
URL 
2018

Schäffer László, Kincses Zoltán, Pletl Szilveszter: A Real-Time Pose Estimation Algorithm Based on FPGA and Sensor Fusion, In: Anikó, Szakál (szerk.) 2018 IEEE 16th International Symposium on Intelligent Systems and Informatics (SISY), IEEE Hungary Section (2018) pp. 000149-000154.
type of document: Part of book/Proceedings Paper
number of independent citations: 8
language: English
URL 
2017

Lászlo Schaffer, Zoltán Nagy, Zoltán Kincses, Richárd Fiáth: FPGA-based real-time multichannel neural dataset generation, In: IEEE (szerk.) Proceedings of the 23rd European Conference on Circuit Theory and Design (ECCTD 2017), IEEE (2017) 8093235
type of document: Part of book/Proceedings Paper
number of independent citations: 1
language: English
URL 
2017

Schaffer L, Kincses Z, Pletl S: FPGA-based low-cost real-time face recognition, In: Szakál, Anikó; IEEE (szerk.) 2017 IEEE 15th International Symposium on Intelligent Systems and Informatics (SISY), IEEE (2017) pp. 35-38.
type of document: Part of book/Proceedings Paper
number of independent citations: 7
language: English
URL 
2017

Schäffer L, Nagy Z, Kincses Z, Fiáth R: FPGA-based neural probe positioning to improve spike sorting with OSort algorithm, In: IEEE, . (szerk.) IEEE International Symposium on Circuits and Systems, ISCAS 2017, IEEE (2017) 8050608
type of document: Part of book/Proceedings Paper
number of independent citations: 11
language: English
URL 
2016

Schäffer L, Nagy Z, Kincses Z, Vörösházi Zs, Fiáth R, Ulbert I, Szolgay P: FPGA-based clustering of multi-channel neural spike trains, In: Tetzlaff, R (szerk.) 15th International Workshop on Cellular Nanoscale Networks and their Applications, VDE Verlag (2016) pp. 115-116.
type of document: Part of book/Proceedings Paper
number of independent citations: 1
language: English
URL 
2015

Peter Sarcevic, Zoltan Kincses, Szilveszter Pletl: Comparison of different classifiers in movement recognition using WSN-based wrist-mounted sensors, In: Vedran, Bilas; Alessandra, Flammini (szerk.) IEEE Sensors Applications Symposium (SAS) Proceedings, IEEE (2015) pp. 446-451.
type of document: Part of book/Proceedings Paper
number of independent citations: 8
language: English
URL 
Number of independent citations to these publications:81 
Scientometric data
list of publications and citations
number of scientific publications that meet accreditation criteria:
35
number of scientific publications:
35
monographs and professional books:
0
monographs/books in which chapters/sections were contributed:
0 
number of independent citations to scientific publications and creative works:
157


2024. IV. 17.
ODT ülés
Az ODT következő ülésére 2024. június 14-én, pénteken 10.00 órakor kerül sor a Semmelweis Egyetem Szenátusi termében (Bp. Üllői út 26. I. emelet).

 
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. )