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personal data approved: 2022. VII. 06.
Personal data
Róbert Lovas
name Róbert Lovas
name of institution
doctoral school
OE Doctoral School of Applied Informatics and Applied Mathematics (Supervisor)
the share of work in the different doctoral schools. OE Doctoral School of Applied Informatics and Applied Mathematics 100%
accreditation statement submitted to: Universitas Budensis
Contact details
E-mail address lovas.robertnik.uni-obuda.hu
phone number +36 1 666-5557
own web page
Academic title
scientific degree, title Ph.D.
year degree was obtained 2006
discipline to which degree belongs computer sciences
institution granting the degree Budapest University of Technology and Economics
scientific degree, title Habilitation
year degree was obtained 2017
discipline to which degree belongs computer sciences
institution granting the degree Obuda University
Employment
2015 - Universitas Budensis
university professor or researcher
1998 - Számítástechnikai és Automatizálási Kutatóintézet (SZTAKI)
other (not specified) (igazgatóhelyettes)
Thesis topic supervisor
number of doctoral students supervised until now 4
number of students who fulfilled course requirements 0
students who obtained their degrees:
Gábor Becker Szedő PhD 2023  DSAIAM

completed course requirement:
(50%) István Pintye (PhD) 2024/01  DSAIAM
present PhD students:
(50%) Krisztián Póra (PhD) (2028/01)  DSAIAM
(50%) Bence Ligetfalvi (PhD) (2027/08)  DSAIAM
(50%) András Kovács (PhD) (2024/08)  DSAIAM
(50%) Attila Farkas (PhD) (2024/08)  DSAIAM
(50%) Ernő Rigó (PhD) (2024/08)  DSAIAM
(50%) Farida Asadova (PhD) (2024/08)  DSAIAM
(50%) Márk Benjámin Emődi (PhD) (2024/08)  DSAIAM
  Thesis topic proposals
Research
research area cloud computing, Big Data, IoT, machine learning
research field in which current research is conducted computer sciences
Publications
2022

Marosi A Cs, Emődi M, Farkas A, Lovas R, Beregi R, Pedone G, Németh B, Gáspár P: Towards Reference Architectures: a Cloud-agnostic Data Analytics Platform Empowering Autonomous Systems, IEEE ACCESS 10: pp. 60658-60673.
type of document: Journal paper/Article
language: English
URL 
2021

Nagy E, Lovas R, Pintye I, Hajnal Á, Kacsuk P: Cloud-agnostic architectures for machine learning based on Apache Spark, ADVANCES IN ENGINEERING SOFTWARE 159: 103029
type of document: Journal paper/Article
language: English
URL 
2021

Ligetfalvi B, Emődi M, Kovács J, Lovas R: Fundamentals of a Novel Debugging Mechanism for Orchestrated Cloud Infrastructures with Macrosteps and Active Control, ELECTRONICS 10: (24) 3108
type of document: Journal paper/Article
language: English
URL 
2021

Pintye I, Kail E, Kacsuk P, Lovas R: Big data and machine learning framework for clouds and its usage for text classification, CONCURRENCY AND COMPUTATION: PRACTICE AND EXPERIENCE 33: (19) e6164
type of document: Journal paper/Article
number of independent citations: 5
language: English
URL 
2020

Kemenesi Gábor, Zeghbib Safia, Somogyi Balázs A, Tóth Gábor Endre, Bányai Krisztián, Solymosi Norbert, Szabo Peter M, Szabó István, Bálint Ádám, Urbán Péter, Herczeg Róbert, Gyenesei Attila, Nagy Ágnes, Pereszlényi Csaba István, Babinszky Gergely Csaba, Dudás Gábor, Terhes Gabriella, Zöldi Viktor, Lovas Róbert, Tenczer Szabolcs, Kornya László, Jakab Ferenc: Multiple SARS-CoV-2 Introductions Shaped the Early Outbreak in Central Eastern Europe: Comparing Hungarian Data to a Worldwide Sequence Data-Matrix, VIRUSES 12: (12) 1401
type of document: Journal paper/Article
number of independent citations: 2
language: English
URL 
2015

Kovács J, Marosi AC, Visegrádi Á, Farkas Z, Kacsuk P, Lovas R: Boosting gLite with cloud augmented volunteer computing, FUTURE GENERATION COMPUTER SYSTEMS 43-44: pp. 12-23.
type of document: Journal paper/Article
number of independent citations: 8
language: English
URL 
2009

Urbach E, Kacsuk P, Farkas Z, Fedak G, Kecskeméti G, Lodygensky O, Marosi A, Balaton Z, Caillat G, Gombás G, Kornafeld Á, Kovács J, He H, Lovas R: EDGeS: bridging EGEE to BOINC and XtremWeb., JOURNAL OF GRID COMPUTING 7: (3) pp. 335-354.
type of document: Journal paper/Article
number of independent citations: 40
language: English
URL 
2004

Lovas R, Dózsa G, Kacsuk P, Podhorszki N, Drótos D: Workflow support for complex grid applications. Integrated and portal solutions, LECTURE NOTES IN COMPUTER SCIENCE 3165: pp. 129-138.
type of document: Journal paper/Konferenciaközlemény
number of independent citations: 45
language: English
2003

Kacsuk P, Dózsa G, Kovács J, Lovas R, Podhorszki N, Balaton Z, Gombás G: P-GRADE: a grid programing environment, JOURNAL OF GRID COMPUTING 1: (2) pp. 171-197.
type of document: Journal paper/Article
number of independent citations: 37
language: English
2002

Kovács J, Kusper G, Lovas R, Schreiner W: Integrating temporal assertions into a parallel debugger, LECTURE NOTES IN COMPUTER SCIENCE 2400: pp. 113-120.
type of document: Journal paper/Article
number of independent citations: 11
language: English
URL 
Number of independent citations to these publications:148 
Scientometric data
list of publications and citations
number of scientific publications that meet accreditation criteria:
104
number of scientific publications:
101
monographs and professional books:
0
monographs/books in which chapters/sections were contributed:
8 
scientific publications published abroad that meet the accreditation criteria:
81
publications not in Hungarian, published in Hungary, meeting the accreditation criteria:
8
number of independent citations to scientific publications and creative works:
308


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. )