Károly Farkas - ODT Personal data sheet


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Personal data sheet

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personal data approved: 2024. II. 09.

Personal data

name	Károly Farkas
name of institution	Budapest University of Technology and Economics University of Sopron
doctoral school	BME Doctoral School of Informatics (Academic staff member Az oktató a doktori iskola doktoranduszai számára oktat tantárgyat, és/vagy a doktori iskola megszavazta, hogy doktoranduszok számára kutatási témát írjon ki. ) BME Doctoral School of Electrical Engineering (Supervisor Az oktató valamelyik doktori iskolában egy vagy több doktorandusz vagy doktorjelölt munkáját irányítja. ) SOE Jozsef Cziraki Doctoral School of Wood Sciences and Technologies (Academic staff member Az oktató a doktori iskola doktoranduszai számára oktat tantárgyat, és/vagy a doktori iskola megszavazta, hogy doktoranduszok számára kutatási témát írjon ki. )
the share of work in the different doctoral schools.	BME Doctoral School of Informatics 51% BME Doctoral School of Electrical Engineering 48% SOE Jozsef Cziraki Doctoral School of Wood Sciences and Technologies 1%
accreditation statement submitted to:	Budapest University of Technology and Economics

Contact details
phone number	+36 1 463-2830
	own web page

Academic title
scientific degree, title	Ph.D.
year degree was obtained	2007
discipline to which degree belongs	computer sciences
institution granting the degree	ETH Zurich
scientific degree, title	Habilitation
year degree was obtained	2017
discipline to which degree belongs	computer sciences
institution granting the degree	Budapest University of Technology and Economics

Employment
2008 -	Budapest University of Technology and Economics university professor or researcher

Thesis topic supervisor

number of doctoral students supervised until now

0.5

number of students who fulfilled course requirements

0.5

students who obtained their degrees:

(50%)

Ádám Horváth

PhD

2014

JCDSWST

present PhD students:

Dániel László Vajda

(PhD)

(2027/08)

DSEE

Thesis topic proposals

Research
research area	Mobile ad hoc networks, mobile networks, sensor networks, wireless community networks, indoor positioning
research field in which current research is conducted	computer sciences media and communctions

Publications

2023

Farkas K.: AREP: an adaptive, machine learning-based algorithm for real-time anomaly detection on network telemetry data, NEURAL COMPUTING & APPLICATIONS 35: (8) pp. 6079-6094.
type of document: Journal paper/Article
number of independent citations: 1
language: English
URL

2023

Farkas Károly: Mesterséges intelligencián alapuló eljárások alkalmazása infokommunikációs hálózatokban, HIRADÁSTECHNIKA (1962) 78: (1) pp. 32-39.
type of document: Journal paper/Article
language: Hungarian

2023

Bicski Balint, Farkas Karoly, Pekar Adrian: Simple Heuristics as a Viable Alternative to Machine Learning-Based Anomaly Detection in Industrial IoT, IEEE INTERNET OF THINGS MAGAZINE 6: (3) pp. 104-109.
type of document: Journal paper/Article
language: English
URL

2021

Vajda Daniel, Pekar Adrian, Farkas Karoly: Towards Machine Learning-based Anomaly Detection on Time-Series Data, INFOCOMMUNICATIONS JOURNAL 13: (1) pp. 35-44.
type of document: Journal paper/Article
number of independent citations: 2
language: English
URL

2020

Farkas Károly: Participatory sensing framework, In: Baoguo, Han; Vijay, Tomer; Tuan, Anh Nguyen; Ali, Farmani; Pradeep, Kumar Singh (szerk.) Nanosensors for Smart Cities, Elsevier (2020) pp. 543-553.
type of document: Part of book/Könyvfejezet (to be translated)
language: English
URL

2015

Farkas K, Fehér G, Benczúr A, Sidló Cs: Crowdsending Based Public Transport Information Service in Smart Cities, IEEE COMMUNICATIONS MAGAZINE 53: (8) pp. 158-165.
type of document: Journal paper/Article
number of independent citations: 66
language: English
URL

2012

Schaffer Péter, Farkas Károly, Horváth Ádám, Holczer Tamás, Buttyán Levente: Secure and Reliable Clustering in Wireless Sensor Networks: A Critical Survey, COMPUTER NETWORKS 56: (11) pp. 2726-2741.
type of document: Journal paper/Article
number of independent citations: 60
language: English
URL

2009

Károly Farkas, Csaba A Szabó, Zoltán Horváth: Motivations, Technologies, and Sustainability Models of Wireless Municipal Networks, IEEE COMMUNICATIONS MAGAZINE 47: (12) pp. 76-83.
type of document: Journal paper/Article
number of independent citations: 4
language: English
URL

2008

Csaba Szabó, Károly Farkas, Zoltán Horváth: Motivations, Design and Business Models of Wireless Community Networks, MOBILE NETWORKS & APPLICATIONS 13: (1-2) pp. 147-159.
type of document: Journal paper/Article
number of independent citations: 21
language: English
URL

2008

K. Farkas, T. Hossmann, F. Legendre, B. Plattner, S. K. Das: Link Quality Prediction in Mesh Networks, COMPUTER COMMUNICATIONS 31: (8) pp. 1497-1512.
type of document: Journal paper/Article
number of independent citations: 74
language: English
URL

Number of independent citations to these publications:

228

Scientometric data

list of publications and citations

number of scientific publications that meet accreditation criteria:

107

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:

588

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).