Vilmos Simon - ODT Personal data sheet


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Personal data sheet

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personal data approved: 2023. VII. 05.

Personal data

name	Vilmos Simon
name of institution	Budapest University of Technology and Economics
doctoral school	BME Doctoral School of Informatics (Supervisor Az oktató valamelyik doktori iskolában egy vagy több doktorandusz vagy doktorjelölt munkáját irányítja. )
the share of work in the different doctoral schools.	BME Doctoral School of Informatics 100%
accreditation statement submitted to:	Budapest University of Technology and Economics

Contact details
E-mail address	svilmoshit.bme.hu
phone number	+36 1 463-1016
	own web page

Academic title
scientific degree, title	Ph.D.
year degree was obtained	2009
discipline to which degree belongs	electrical engineering
institution granting the degree	Budapest University of Technology and Economics

Employment
2006 -	Budapest University of Technology and Economics university professor or researcher

Thesis topic supervisor

number of doctoral students supervised until now

number of students who fulfilled course requirements

students who obtained their degrees:

Mohammad Bawaneh	PhD	2023	DSI-BME
Attila Mátyás Nagy	PhD	2021	DSI-BME
András Kőkuti	PhD	2018	DSI-BME
Bernát Wiandt	PhD	2018	DSI-BME

completed course requirement:

Ármin Petkovics

(PhD)

2016/01

DSI-BME

present PhD students:

Norman Zoltán Bereczki

(PhD)

(2027/01)

DSI-BME

hiányos adatú hallgatói:

Aram Nasser

PhD

(2023/08)

DSI-BME

Thesis topic proposals

Research
research area	Machine learning and data analytics for intelligent and automated cities, Self-organized mobile networks, Flocking optimization in autonomous networks, Mobile crowdsensing applications
research field in which current research is conducted	computer sciences electrical engineering

Publications

2023

Bawaneh Mohammad, Simon Vilmos: Novel traffic congestion detection algorithms for smart city applications, CONCURRENCY AND COMPUTATION: PRACTICE AND EXPERIENCE 35: (5) p. 1.
type of document: Journal paper/Article
language: English
URL

2022

Nagy Attila Mátyás, Simon Vilmos: A Novel Data Representation Method for Smart Cities’ Big Data, In: Panos, M. Pardalos; Stamatina, Th. Rassia; Arsenios, Tsokas (szerk.) Artificial Intelligence, Machine Learning, and Optimization Tools for Smart Cities, Springer-Verlag (2022) pp. 97-122.
type of document: Part of book/Szaktanulmány (to be translated)
language: English
URL

2022

Nasser Aram, Simon Vilmos: Wavelet‐attention‐based traffic prediction for smart cities, IET SMART CITIES 4: (1) pp. 3-16.
type of document: Journal paper/Article
number of independent citations: 2
language: English
URL

2022

Bawaneh Mohammad, Simon Vilmos: Novel Method for Speeding Up Time Series Processing in Smart City Applications, SMART CITIES 5: (3) pp. 964-978.
type of document: Journal paper/Article
language: English
URL

2021

Nagy Attila M., Simon Vilmos: Traffic congestion propagation identification method in smart cities, INFOCOMMUNICATIONS JOURNAL 13: (1) pp. 45-57.
type of document: Journal paper/Article
number of independent citations: 7
language: English
URL

2021

Nagy Attila M., Simon Vilmos: Improving traffic prediction using congestion propagation patterns in smart cities, ADVANCED ENGINEERING INFORMATICS 50: 101343
type of document: Journal paper/Article
number of independent citations: 15
language: English
URL

2021

Nagy Attila M., Simon Vilmos: A novel congestion propagation modeling algorithm for smart cities, PERVASIVE AND MOBILE COMPUTING 73: 101387
type of document: Journal paper/Article
number of independent citations: 5
language: English
URL

2018

Nagy Attila M., Simon Vilmos: Survey on traffic prediction in smart cities, PERVASIVE AND MOBILE COMPUTING 50: pp. 148-163.
type of document: Journal paper/Review paper
number of independent citations: 160
language: English
URL

2015

Bernat Wiandt, Andras Kokuti, Vilmos Simon: Application of Collective Movement in Real Life Scenarios: Overview of Current Flocking Solutions, SCALABLE COMPUTING: PRACTICE AND EXPERIENCE 16: (3) pp. 233-247.
type of document: Journal paper/Article
language: English
DOI

2015

Ármin Petkovics, Vilmos Simon, István Gódor, Bence Böröcz: Crowdsensing Solutions in Smart Cities towards a Networked Society, EAI ENDORSED TRANSACTIONS ON INTERNET OF THINGS 15: (1) Paper E6. 15 p.
type of document: Journal paper/Article
language: English
DOI

Number of independent citations to these publications:

189

Scientometric data

list of publications and citations

number of scientific publications that meet accreditation criteria:

number of scientific publications:

monographs and professional books:

monographs/books in which chapters/sections were contributed:

scientific publications published abroad that meet the accreditation criteria:

publications not in Hungarian, published in Hungary, meeting the accreditation criteria:

number of independent citations to scientific publications and creative works:

332

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).