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personal data approved: 2020. I. 07.
Personal data
Zoltán Kincses
name Zoltán Kincses
name of institution
doctoral school
SzTE Doctoral School of Computer Science (Academic staff member)
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:
completed course requirement, without degree or degree granting in process:
(50%) László Schäffer (PhD) 2018/08  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
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: 6
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.) IEEE 16th International Symposium on Intelligent Systems and Informatics : SISY 2018, IEEE Hungary Section (2018) pp. 000149-000154.
type of document: Part of book/Proceedings Paper
language: English
URL 
2017

Lászlo Schaffer, Zoltán Nagy, Zoltán Kincses, Richárd Fiáth: FPGA-Based Real-Time Multi-channel 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
language: English
URL 
2017

Peter Sarcevic, Szilveszter Pletl, Zoltan Kincses: Comparison of time- and frequency-domain features for movement classification using data from wrist-worn sensors, In: Szakál, Anikó (szerk.) IEEE 15th International Symposium on Intelligent Systems and Informatics : SISY 2017, IEEE (2017) pp. 261-266.
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 (szerk.) IEEE 15th International Symposium on Intelligent Systems and Informatics : SISY 2017, IEEE (2017) pp. 35-38.
type of document: Part of book/Proceedings Paper
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: 2
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 GmbH (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: 6
language: English
URL 
2015

Peter Sarcevic, Zoltan Kincses, Szilveszter Pletl, Laszlo Schaffer: Distributed movement recognition algorithm based on wrist-mounted wireless sensor motes, In: IEEE (szerk.) European Wireless 2015, VDE (2015) pp. 1-6.
type of document: Part of book/Proceedings Paper
number of independent citations: 1
language: English
2015

Peter Sarcevic, Laszlo Schaffer, Zoltan Kincses, Szilveszter Pletl: Hierarchical-distributed approach to movement classification using wrist-mounted wireless inertial and magnetic sensors, INFOCOMMUNICATIONS JOURNAL 7: (3) pp. 33-41.
type of document: Journal paper/Article
language: English
URL 
Number of independent citations to these publications:17 
Scientometric data
list of publications and citations
number of scientific publications that meet accreditation criteria:
27
number of scientific publications:
31
monographs and professional books:
0
monographs/books in which chapters/sections were contributed:
0 
number of independent citations to scientific publications and creative works:
61

 
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. )