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personal data approved: 2023. VIII. 25.
Personal data
András Oláh
name András Oláh
name of institution
doctoral school
PPKE Roska Tamás Doctoral School of Sciences and Technology (Supervisor)
the share of work in the different doctoral schools. PPKE Roska Tamás Doctoral School of Sciences and Technology 100%
accreditation statement submitted to: Pázmány Péter Catholic University, Budapest
Contact details
E-mail address olah.andrasitk.ppke.hu
phone number +36 1 886-4700
own web page
Academic title
scientific degree, title Ph.D.
year degree was obtained 2007
discipline to which degree belongs electrical engineering
institution granting the degree Budapesti Műszaki és Gazdaságtudományi Egyetem (to be translated)
Employment
2005 - Pázmány Péter Catholic University, Budapest
university professor or researcher
Thesis topic supervisor
number of doctoral students supervised until now 2
number of students who fulfilled course requirements 2
students who obtained their degrees:
(50%) Dávid Tisza PhD 2019  PPCU-RTDS
(50%) István Zoltán Reguly PhD 2014  PPCU-RTDS
(50%) Kálmán Tornai PhD 2014  PPCU-RTDS

completed course requirement:
(50%) András Bojárszky (PhD) 2009/08  PPCU-RTDS
Máté Lőrincz (PhD) 2018/08  PPCU-RTDS
present PhD students:
Bálint Áron Üveges (PhD) (2024/08)  PPCU-RTDS
  Thesis topic proposals
Research
research area Wireless communication protocols Wireless sensor networks
research field in which current research is conducted electrical engineering
computer sciences
Publications
2023

Üveges Bálint, Lőrincz Máté, Oláh András: Resilient Multipath Routing Protocol to Enable Hazardous event Monitoring with Wireless Sensor Network, TELFOR JOURNAL 15: (1) pp. 20-25.
type of document: Journal paper/Article
language: English
URL 
2022

Üveges Bálint Áron, Lőrincz Máté, Oláh András: Self-healing Multipath Routing Protocol to assist Wireless Sensor Network based Hazardous Event Monitoring, In: Üveges, Bálint Áron (szerk.) 2022 30th Telecommunications Forum (TELFOR), IEEE (2022) pp. 1-4.
type of document: Part of book/Proceedings Paper
language: English
URL 
2019

J Levendovszky, I Reguly, A Olah, A Ceffer: Low Complexity Algorithmic Trading by Feedforward Neural Networks, COMPUTATIONAL ECONOMICS 54: (1) pp. 267-279.
type of document: Journal paper/Article
number of independent citations: 3
language: English
URL 
2019

Botos Csaba, Hakkel Tamás, Horváth András, Oláh András, Reguly István Z.: PPCU Sam: Open-source face recognition framework, PROCEDIA COMPUTER SCIENCE 159: pp. 1947-1956.
type of document: Journal paper/Konferenciaközlemény
number of independent citations: 4
language: English
URL 
2018

M Lőrincz, A Oláh, K Tornai: An effective neuron based method for process control in industrial environment, In: 2018 IEEE International Conference on Industrial Technology (ICIT), IEEE (2018) pp. 69-74.
type of document: Part of book/Proceedings Paper
language: English
URL 
2017

Lorant Kovacs, Rajmund Drenyovszki, Andras Olah, Janos Levendovszky, Kalman Tornai, Istvan Pinter: A probabilistic demand side management approach by consumption admission control, TEHNICKI VJESNIK-TECHNICAL GAZETTE 24: (1) pp. 199-207.
type of document: Journal paper/Article
number of independent citations: 1
language: English
URL 
2017

Tornai K, Oláh A, Drenyovszki R, Kovács L, Pintér I, Levendovszky J: Deep learning based consumer classification for smart grid, In: Lau, E T; Chai, M K K; Chen, Y; Jung, O; Leung, V C M; Yang, K Bessler; S, Loo J; Nakayama, T (szerk.) Smart grid inspired future technologies, Springer-Verlag (2017) pp. 132-141.
type of document: Part of book/Proceedings Paper
number of independent citations: 1
language: English
URL 
2017

Rajmund Drenyovszki, Lóránt Kovács, Kálmán Tornai, András Oláh, István Pintér: Bottom-up modeling of domestic appliances with Markov chains and semi-Markov processes, KYBERNETIKA 53: (6) pp. 1100-1117.
type of document: Journal paper/Article
number of independent citations: 1
language: English
URL 
2016

Tornai Kálmán, Kovács Lóránt, Oláh András, Drenyovszki Rajmund, Pintér István, Tisza Dávid, Levendovszky János: Classification for consumption data in smart grid based on forecasting time series, ELECTRIC POWER SYSTEMS RESEARCH 141: pp. 191-201.
type of document: Journal paper/Article
number of independent citations: 12
language: English
URL 
2016

Kálmán Tornai, András Oláh, Máté Lőrincz: Forecast based classification for power consumption data, In: Dusan, Maga (szerk.) The Proceedings of the 2nd International Conference on Intelligent Green Building and Smart Grid (IGBSG), IEEE (2016) pp. 1-5.
type of document: Part of book/Proceedings Paper
number of independent citations: 2
language: English
URL 
Number of independent citations to these publications:24 
Scientometric data
list of publications and citations
number of scientific publications that meet accreditation criteria:
57
number of scientific publications:
58
monographs and professional books:
0
monographs/books in which chapters/sections were contributed:
0 
scientific publications published abroad that meet the accreditation criteria:
39
publications not in Hungarian, published in Hungary, meeting the accreditation criteria:
16
number of independent citations to scientific publications and creative works:
53


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. )