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personal data approved: 2020. II. 14.
Personal data
Sándor Molnár
name Sándor Molnár
name of institution
doctoral school
BME Doctoral School of Informatics (Supervisor)
BME Doctoral School of Electrical Engineering (Academic staff member)
the share of work in the different doctoral schools. BME Doctoral School of Informatics 50%
BME Doctoral School of Electrical Engineering 50%
accreditation statement submitted to: Budapest University of Technology and Economics
Contact details
E-mail address molnartmit.bme.hu
phone number +36 1 463-3889
own web page
Academic title
scientific degree, title Ph.D.
year degree was obtained 1996
discipline to which degree belongs electrical engineering
institution granting the degree Technical University of Budapest
scientific degree, title Habilitation
year degree was obtained 2013
discipline to which degree belongs computer sciences
institution granting the degree Budapest University of Technology and Economics
Employment
1995 - Budapest University of Technology and Economics
egyetemi tanári beosztásra pályázik
Thesis topic supervisor
number of doctoral students supervised until now 17.5
number of students who fulfilled course requirements 14.5
students who obtained their degrees:
Péter Megyesi PhD 2018  DSI-BME
Zoltán András Móczár PhD 2016  DSI-BME
(50%) Pál László Pályi PhD 2014  DSI-BME
Tamás Marosits PhD 2012  DSEE
Géza Szabó PhD 2011  DSI-BME
Balázs Sonkoly PhD 2010  DSI-BME
(50%) Marcell Perényi PhD 2009  DSI-BME
András Gefferth PhD 2005  DSI-BME
(50%) Anh Tuan Trinh PhD 2005  DSI-BME
György Miklós PhD 2005  DSI-BME
(50%) Sándor Székely PhD 2005  DSEE
(50%) András Veres PhD 2004  DSEE
Dinh Dang Trang PhD 2003  DSEE
István Szabó PhD 2003  DSI-BME
(50%) István Cselényi PhD 2002  DSEE
Attila Vidács PhD 2001  DSEE
(50%) Csaba Antal PhD 2000  DSEE

completed course requirement, without degree or degree granting in process:
Szilárd Solymos (PhD) 2019/08  DSI-BME
present PhD students:
Aymen AlAwadi (PhD) (2021/08)  DSI-BME
Zsolt Krämer (PhD) (2021/01)  DSI-BME
Maiass Zaher (PhD) (2020/08)  DSI-BME
  Thesis topic proposals
Research
research area Performance Analysis of High Speed Networks, Teletraffic Theory, Traffic Measurements, Analysis and Modeling, Research of Transport Protocols, Future Internet Research
research field in which current research is conducted computer sciences
electrical engineering
Publications
2017

Péter Megyesi, Alessio Botta, Giuseppe Aceto, Antonio Pescapé, Sándor Molnár: Challenges and solution for measuring available bandwidth in software defined networks, COMPUTER COMMUNICATIONS 99: pp. 48-61.
type of document: Journal paper/Article
number of independent citations: 9
language: English
URL 
2016

S. Molnár, Z. Móczár, B. Sonkoly: Living with Congestion: Digital Fountain based Communication Protocol, COMPUTER COMMUNICATIONS 80: pp. 82-100.
type of document: Journal paper/Article
number of independent citations: 3
language: English
URL 
2016

P Megyesi, Z Krämer, S Molnár: How quick is QUIC?, In: IEEE (szerk.) 2016 IEEE International Conference on Communications, ICC 2016, Institute of Electrical and Electronics Engineers Inc. (2016) pp. 790-795.
type of document: Part of book/Proceedings Paper
number of independent citations: 1
language: English
URL 
2015

Megyesi Péter, Szabó Géza, Molnár Sándor: User behavior based traffic emulator: A framework for generating test data for DPI tools, COMPUTER NETWORKS 92: (1) pp. 41-54.
type of document: Journal paper/Article
number of independent citations: 4
language: English
URL 
2015

Z Móczár, S Molnár: On the Dynamic Behavior of Digital Fountain Based Communication, In: IEEE (szerk.) 2015 IEEE Global Communications Conference, GLOBECOM 2015, IEEE (2015) 7417127
type of document: Part of book/Proceedings Paper
number of independent citations: 1
language: English
URL 
2009

Molnár Sándor, Sonkoly Balázs, Trinh Anh Tuan: A Comprehensive TCP Fairness Analysis in High Speed Networks, COMPUTER COMMUNICATIONS 32: (13-14) pp. 1460-1484.
type of document: Journal paper/Article
number of independent citations: 28
language: English
URL 
2004

Gefferth A, Veitch D, Ruzsa IZ, Maricza I, Molnár S: A New Class of Second Order Self-similar Processes, STOCHASTIC MODELS 20: (3) pp. 381-389.
type of document: Journal paper/Article
number of independent citations: 1
language: English
URL 
2004

T D Dang, B Sonkoly, S Molnár: Fractal Analysis and Modelling of VoIP Traffic, In: Kaindl, G (szerk.) Networks 2004 - 11th International Telecommunications Network Strategy and Planning Symposium, VDE Verlag GmbH (2004) pp. 123-130.
type of document: Part of book/Proceedings Paper
number of independent citations: 116
language: English
2003

Gefferth A, Veitch D, Maricza I, Molnár S, Ruzsa IZ: The Nature of Discrete Second-order Self-similarity, ADVANCES IN APPLIED PROBABILITY 35: (2) pp. 395-416.
type of document: Journal paper/Article
number of independent citations: 4
language: English
URL 
2000

Veres A, Kenesi Z, Molnar S, Vattay G: On the propagation of long-range dependence in the Internet, ACM SIGCOMM COMPUTER COMMUNICATION REVIEW 30: (4) pp. 243-254.
type of document: Journal paper/Konferenciaközlemény
number of independent citations: 108
language: English
URL 
Number of independent citations to these publications:275 
Scientometric data
list of publications and citations
number of scientific publications that meet accreditation criteria:
192
number of scientific publications:
179
monographs and professional books:
0
monographs/books in which chapters/sections were contributed:
11 
scientific publications published abroad that meet the accreditation criteria:
120
publications not in Hungarian, published in Hungary, meeting the accreditation criteria:
27
number of independent citations to scientific publications and creative works:
854


2020. VI. 25.
ODT ülés
Az ODT következő ülésére 2020. július 10-én 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. )