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VALIDITY EXPIRED
personal data approved: 2021. IX. 16.
Personal data
name Tamás Hajba
Academic title
scientific degree, title Ph.D.
year degree was obtained 2017
discipline to which degree belongs computer sciences
institution granting the degree Széchenyi István University
Employment
2001 - Széchenyi István University, Győr
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:
Research
research area Modeling industrial problems (scheduling, vehicle routing) and solving them with mathematical programming.
research field in which current research is conducted mathematics and computing
Publications
2017

Hajba Tamás: Ipari gyártósorok ütemezésének modelljei és alkalmazásaik ipari jellegű feladatokon,
type of document:
language: Hungarian
URL 
2017

T Hajba, Z Horváth, C Kiss-Tóth, J Jósvai: Production Line Optimization with Model Based Methods, In: Ghezzi, L; Hömberg, D; Landry, C (szerk.) Math for the digital factory, Springer (2017) pp. 163-182.
type of document: Part of book/Könyvfejezet (to be translated)
language: English
URL 
2015

Tamás Hajba, Zoltán Horváth: MILP models for the optimization of real production lines, CENTRAL EUROPEAN JOURNAL OF OPERATIONS RESEARCH 23: (4) pp. 899-912.
type of document: Journal paper/Article
number of independent citations: 3
language: English
URL 
2015

Pál Pusztai, Tamás Hajba: Empirical study of the greedy heuristic as applied to the link selection problem, ACTA UNIVERSITATIS SAPIENTIAE INFORMATICA 7: (1) pp. 107-120.
type of document: Journal paper/Article
language: English
URL 
2013

Hajba Tamás, Horváth Zoltán: New Effective MILP Models for PFSPs Arising from Real Applications, CENTRAL EUROPEAN JOURNAL OF OPERATIONS RESEARCH 21: (4) pp. 729-744.
type of document: Journal paper/Article
language: English
URL 
2012

Hajba T, Kovacs M: SOLUTION OF THE CONVEX PROGRAMMING PROBLEM VIA SECOND ORDER DIFFERENTIAL EQUATION SYSTEM, MISKOLC MATHEMATICAL NOTES 13: (1) pp. 23-37.
type of document: Journal paper/Article
number of independent citations: 1
language: English
URL 
2011

Horváth Zoltán, Pusztai Pál, Hajba Tamás, Kiss-Tóth Christian: Mathematical methods and parallel codes for production line optimization, In: Nagy, Zoltán (szerk.) Factory Automation 2011 Conference, Széchenyi István Egyetem (2011) pp. 169-176.
type of document: Part of book/Proceedings Paper
language: English
2011

Tamás Hajba: Optimizing second-order differential equation systems, ELECTRONIC JOURNAL OF DIFFERENTIAL EQUATIONS 2011: pp. 1-16.
type of document: Journal paper/Article
number of independent citations: 2
language: English
URL 
2008

Tamás Hajba: A másodrendű differenciálegyenlettel modellezett optimalizálók megengedett paramétereinek elemzése, ALKALMAZOTT MATEMATIKAI LAPOK 25: pp. 61-79.
type of document: Journal paper/Article
language: Hungarian
2006

Tamás Hajba: Optimization methods modeled by second order differential equations, ANNALES UNIVERSITATIS SCIENTIARUM BUDAPESTINENSIS DE ROLANDO EOTVOS NOMINATAE SECTIO COMPUTATORICA 26: pp. 145-158.
type of document: Journal paper/Article
number of independent citations: 1
language: English
Number of independent citations to these publications:
Scientometric data
list of publications and citations
number of scientific publications that meet accreditation criteria:
20
number of scientific publications:
19
monographs and professional books:
0
monographs/books in which chapters/sections were contributed:
 
number of independent citations to scientific publications and creative works:
10
Supervision
thesis supervisor Zoltán Horváth
one supervisor or with co-supervisor individual
degree PhD
date of final certificate (year,month) 2013/08
year in which degree was obtained 2017


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).

 
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. )