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personal data approved: 2016. VII. 13.
Personal data
name István Vassányi
year of birth 1969
name of institution
doctoral school
PE Doctoral School of Information Science and Technology (Supervisor)
Contact details
E-mail address vassanyialmos.vein.hu
phone number +36 88 624-939
own web page
Academic title
scientific degree, title Ph.D.
year degree was obtained 2000
discipline to which degree belongs computer sciences
institution granting the degree BME (to be translated)
Employment
1996 - Pannon University, Veszprém
university professor or researcher
Thesis topic supervisor
number of doctoral students supervised until now 3
number of students who fulfilled course requirements 0.5
students who obtained their degrees:
Balázs Gaál PhD 2010  DSIST-PE

present PhD students:
(50%) Zsolt Vassy (PhD) (2018/01)  DSIST-PE
(50%) Hama Karim Rebaz Ahmed (PhD) (2017/08)  DSIST-PE
(50%) Mário Salai (PhD) (2017/01)  DSIST-PE
  Thesis topic proposals
Research
research area health informatics, data modeling, data mining
research field in which current research is conducted computer sciences
Publications
2016

Mario Salai, István Vassányi, István Kósa: Stress Detection Using Low Cost Heart Rate Sensors, JOURNAL OF HEALTHCARE ENGINEERING 2016: Paper 5136705. p.
type of document: Journal paper/Article
language: English
DOI 
2016

Szálka Brigitta, Kósa István, Vassányi István, Mák Erzsébet: Diabetesesek dietoterápiájának és önmenedzselésének támogatása mobilapplikációk használatával, ORVOSI HETILAP 157: (29) pp. 1147-1153.
type of document: Journal paper/Article
language: Hungarian
DOI 
2014

István VASSÁNYI, István KÓSA, Balázs PINTÉR, Balázs GAÁL: Personalized Dietary Counseling System Using Harmony Rules in Tele-Care, JOURNAL OF BIOMEDICAL INFORMATICS 10: (2) pp. 17-22.
type of document: Journal paper/Article
language: English
Full text 
2013

Kósa I, Nemes A, Belicza E, Király F, Vassányi I: Regional differences in the utilisation of coronary angiography as initial investigation for the evaluation of patients with suspected coronary artery disease, INTERNATIONAL JOURNAL OF CARDIOLOGY 168: (5) pp. 5012-5015.
type of document: Journal paper/Article
number of independent citations: 1
language: English
DOI 
2011

Kósa I, Vassányi I, Nemes A, Hortobágyi J, Kozmann G: Stress ECG utilization in the evaluation of patients with chest pain: The real practice in Hungary with 10 million inhabitants, INTERNATIONAL JOURNAL OF CARDIOLOGY 149: (1) pp. 137-139.
type of document: Journal paper/Article
language: English
DOI 
2010

Colombo G, Merico D, Boncoraglio G, De Paoli F, Ellul J, Frisoni G, Nagy Z, van der Lugt A, Vassanyi I, Antoniotti M: An ontological modeling approach to cerebrovascular disease studies: the NEUROWEB case., JOURNAL OF BIOMEDICAL INFORMATICS 43: (4) pp. 469-484.
type of document: Journal paper/Article
number of independent citations: 7
language: English
DOI 
2007

Gaál B, Vassányi I, Kozmann G: Application of artificial intelligence for weekly dietary menu planning, In: Szerk.: Vaidya S, Szerk.: Yoshida Hiroyuki Advanced Computational Intelligence Paradigms in Healthcare. (65) Berlin: Berlin, Springer, 2007. pp. 27-48. (Springer Studies in Computational Intelligence; 65.)
type of document: Part of book/Proceedings Paper
number of independent citations: 2
language: English
DOI 
2006

S Palágyi, O Csirke, J Futó, J Hlavay, B Raucsik, A Szabó, I Vassányi: Mining data from Roman sandstone quarries, ACTA ARCHAEOLOGICA ACADEMIAE SCIENTIARUM HUNGARICAE 57: pp. 395-422.
type of document: Journal paper/Article
language: English
2005

Gaál B, Vassányi I, Kozmann G: A Novel Artificial Intelligence Method for Weekly Dietary Menu Planning, METHODS OF INFORMATION IN MEDICINE 44: pp. 655-664.
type of document: Journal paper/Article
number of independent citations: 20
language: English
2000

Vassanyi I: Implementing fine grain processor arrays on field-programmable logic, INTEGRATED COMPUTER-AIDED ENGINEERING 7: (1) pp. 53-66.
type of document: Journal paper/Article
language: English
Number of independent citations to these publications:30 
Scientometric data
Saját közlemény- és idézőlista list of publications and citations
number of scientific publications that meet accreditation criteria:
82
number of scientific publications:
90
monographs and professional books:
0
monographs/books in which chapters/sections were contributed:
1 
art/engineering creative works:
0
scientific publications published abroad that meet the accreditation criteria:
37
publications not in Hungarian, published in Hungary, meeting the accreditation criteria:
10
number of independent citations to scientific publications and creative works:
56

 
All rights reserved © 2007, Hungarian Doctoral Council. Doctoral Council registration number at commissioner for data protection: 02003/0001. Program version: 1.2318 ( 2016. XI. 26. )