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personal data approved: 2020. I. 03.
Personal data
András Oláh
name András Oláh
name of institution
doctoral school
PPKE Roska Tamás Doctoral School of Sciences and Technology (Announcer of research topic)
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, without degree or degree granting in process:
(50%) András Bojárszky (PhD) 2009/08  PPCU-RTDS
Máté Lőrincz (PhD) 2018/08  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
2018

J Levendovszky, I Reguly, A Olah, A Ceffer: Low Complexity Algorithmic Trading by Feedforward Neural Networks, COMPUTATIONAL ECONOMICS 51: (1) Article in Press
type of document: Journal paper/Article
number of independent citations: 2
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

K Tornai, A Oláh, R Drenyovszki, L Kovács, I Pintér, J Levendovszky: Recurrent neural network based user classification for smart grids, In: IEEE (szerk.) 2017 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT), IEEE (2017) 8086043
type of document: Part of book/Proceedings Paper
language: English
URL 
2016

Tisza Dávid, Oláh András, Levendovszky János: Multi-user detection using non-parametric Bayesian estimation by feed forward neural networks, TELECOMMUNICATION SYSTEMS 63: (1) pp. 65-75.
type of document: Journal paper/Article
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: 2
language: English
URL 
2016

Tornai Kálmán, Oláh András: Clustering Power Consumption Data in Smart Grid, In: Szerk.: Hu J, Szerk.: Leung V C M, Szerk.: Yang K, Szerk.: Zhang Y, Szerk.: Gao J, Szerk.: Yang S Smart Grid Inspired Future Technologies: First International Conference, SmartGIFT 2016, Liverpool, UK, May 19-20, 2016, Revised Selected Papers. [s. l.] - Nemzetközi: Springer International Publishing, 2016. pp. 25-32. (Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering)
type of document: Part of book/Proceedings Paper
language: English
DOI 
2016

Kálmán Tornai, András Oláh: Automated Categorization of Consumers Based on Consumption Forecast in Smart Grid, In: Szerk.: Lasse Berntzen, Szerk.: Sandra Sendra Compte SMART 2016: The Fifth International Conference on Smart Systems, Devices and Technologies. [hiányzó városnév]: IARIA, 2016. pp. 1-7.
type of document: Part of book/Proceedings Paper
language: English
2016

Kálmán Tornai, András Oláh, János Levendovszky: Monitoring Scheme for Event and Danger Detection in Wireless Sensor Networks, AD HOC & SENSOR WIRELESS NETWORKS 30: (1-2) pp. 145-161.
type of document: Journal paper/Article
language: English
2014

Kálmán Tornai, Lóránt Kovács, András Oláh, Rajmund Drenyovszki, István Pintér, Dávid Tisza, János Levendovszky: Novel consumer classification scheme for smart grids, In: IEEE Germany Section Smart SysTech 2014, European Conference on Smart Objects, Systems and Technologies. Berlin: VDE Verlag GmbH, 2014. pp. 1-8.
type of document: Part of book/Proceedings Paper
language: English
DOI 
2014

Tisza Dávid, Oláh András, Levendovszky János: Novel Algorithms for Quadratic Programming by Using Hypergraph Representations, WIRELESS PERSONAL COMMUNICATIONS 77: (3) pp. 2305-2339.
type of document: Journal paper/Article
language: English
DOI 
Number of independent citations to these publications:
Scientometric data
list of publications and citations
number of scientific publications that meet accreditation criteria:
56
number of scientific publications:
57
monographs and professional books:
0
monographs/books in which chapters/sections were contributed:
0 
scientific publications published abroad that meet the accreditation criteria:
37
publications not in Hungarian, published in Hungary, meeting the accreditation criteria:
17
number of independent citations to scientific publications and creative works:
32

 
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. )