Csaba Fábián - ODT Personal data sheet


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Personal data sheet

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personal data approved: 2022. XI. 14.

Personal data

name	Csaba Fábián
name of institution	Eötvös Loránd University, Budapest University of Pannonia John Von Neumann University Doctoral Council of the University
doctoral school	ELTE Doctoral School of Mathematics (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. ) PE Doctoral School of Information Science and Technology (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. ) NJE John von Neumann University Doctoral School of Management and Business Administration (Announcer of research topic Az adott oktató valamelyik doktori iskolában kiírt doktoranduszok számára kutatási témát, amire most jelentkezni is lehet, de még nincsen témavezetett doktorandusza. )
the share of work in the different doctoral schools.	ELTE Doctoral School of Mathematics 1% PE Doctoral School of Information Science and Technology 4% NJE John von Neumann University Doctoral School of Management and Business Administration 94% NJE Doctoral Council of the University 1%
accreditation statement submitted to:	John Von Neumann University

Contact details
E-mail address	fabian.csabagamf.uni-neumann.hu
	own web page

Academic title
scientific degree, title	Ph.D.
year degree was obtained	1999
discipline to which degree belongs	mathematics and computing
institution granting the degree	ELTE (to be translated)
scientific degree, title	Habilitation
year degree was obtained	2020
discipline to which degree belongs	mathematics and computing
institution granting the degree	Óbuda University
scientific degree, title	DSc
year degree was obtained	2021
discipline to which degree belongs	mathematics and computing
institution granting the degree	HAS

Employment
2008 -	John Von Neumann University 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:

(50%)	Márton Frits	PhD	2022	DSIST-PE
(50%)	Christian Wolf	PhD	2013

Thesis topic proposals

Research
research area	information systems, risk management, stochastic programming
research field in which current research is conducted	computer sciences mathematics and computing

Publications

2022

Pavlo Glushko, Csaba I. Fábián, Achim Koberstein: An L-shaped method with strengthened lift-and-project cuts, COMPUTATIONAL MANAGEMENT SCIENCE 19: 00426
type of document: Journal paper/Article
language: English
URL

2020

Fábián Csaba I.: Gaining traction: on the convergence of an inner approximation scheme for probability maximization, CENTRAL EUROPEAN JOURNAL OF OPERATIONS RESEARCH 29: pp. 491-519.
type of document: Journal paper/Article
number of independent citations: 1
language: English
URL

2019

Fábián Csaba I., Csizmás Edit, Drenyovszki Rajmund, Vajnai Tibor, Kovács Lóránt, Szántai Tamás: A randomized method for handling a difficult function in a convex optimization problem, motivated by probabilistic programming, ANNALS OF OPERATIONS RESEARCH Online first: pp. 1-32.
type of document: Journal paper/Article
number of independent citations: 1
language: English
URL

2018

Csaba I Fábián, Edit Csizmás, Rajmund Drenyovszki, Wim van Ackooij, Tibor Vajnai, Lóránt Kovács, Tamás Szántai: Probability maximization by inner approximation, ACTA POLYTECHNICA HUNGARICA 15: (1) pp. 105-125.
type of document: Journal paper/Article
number of independent citations: 3
language: English
URL

2018

Csizmás Edit, Drenyovszki Rajmund, Vajnai Tibor, Kovács Lóránt, Fábián Csaba: Valószínűség maximalizálás, GRADUS 5: (1) pp. 128-133.
type of document: Journal paper/Article
language: Hungarian
URL

2015

C I Fábián, C Wolf, A Koberstein, L Suhl: Risk-averse optimization in two-stage stochastic models: computational aspects and a study, SIAM JOURNAL ON OPTIMIZATION 25: pp. 28-52.
type of document: Journal paper/Article
number of independent citations: 24
language: English
URL

2012

V Zverovich, C I Fábián, F Ellison, G Mitra: A computational study of a solver system for processing two-stage stochastic LPs with enhanced Benders decomposition, MATHEMATICAL PROGRAMMING COMPUTATION 4: (3) pp. 211-238.
type of document: Journal paper/Article
number of independent citations: 46
language: English
URL

2011

Fábián C I, Mitra G, Roman D: Processing second-order stochastic dominance models using cutting-plane representations, MATHEMATICAL PROGRAMMING 130: (1) pp. 33-57.
type of document: Journal paper/Article
number of independent citations: 69
language: English
URL

2008

Fábián C I: Handling CVaR objectives and constraints in two-stage stochastic models, EUROPEAN JOURNAL OF OPERATIONAL RESEARCH 191: (3) pp. 888-911.
type of document: Journal paper/Article
number of independent citations: 88
language: English
URL

2007

Fábián C I, Szőke Z: Solving two-stage stochastic programming problems with level decomposition, COMPUTATIONAL MANAGEMENT SCIENCE 4: (4) pp. 313-353.
type of document: Journal paper/Article
number of independent citations: 51
language: English
URL

Number of independent citations to these publications:

283

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:

art/engineering creative works:

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:

428

further relevant information regarding accreditation (in Hungarian)
A szerkesztőbizottság tagja, Annals of Operations Research. Fejezetszerkesztő, Gradus (a Neumann János Egyetem tudományos folyóirata.) (to be translated)