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Data sheet of PhD student
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Personal data
name Gyula Ábrahám
name of institution University of Pannonia
doctoral school PE Doctoral School of Information Science and Technology
Supervision
thesis supervisor Ágnes Starkné Werner
co-supervisor György Dósa
one supervisor or with co-supervisor co-supervisor
degree PhD
starting of doctoral studies 2017
date of final certificate (year,month) 2022/01
year in which degree was obtained 2023
diszertáció Doi/handle link (thesis, statements)
data of the public discussion defense
Publications
2021

Ábrahám Gyula, Dósa György, Dulai Tibor, Tuza Zsolt, Werner-Stark Ágnes: Efficient Pre-Solve Algorithms for the Schwerin and Falkenauer_U Bin Packing Benchmark Problems for Getting Optimal Solutions with High Probability, MATHEMATICS 9: (13) p. 1540.
type of document: Journal paper/Article
language: English
URL 
2020

Ábrahám Gyula, Dósa György, Dulai Tibor, Ágnes Werner-Stark: Parameter optimization of Q-Learning Motivated Algorithm in process scheduling, In: István, Vassányi (szerk.) Proceedings of the Pannonian Conference on Advances in Information Technology (PCIT'2020), Pannonian University of Veszprém (2020) pp. 17-24.
type of document: Part of book/Proceedings Paper
language: English
2019

Abraham Gyula, Auer Peter, Dosa Gyorgy, Dulai Tibor, Werner-Stark Agnes: A Reinforcement Learning Motivated Algorithm for Process Optimization, PERIODICA POLYTECHNICA-CIVIL ENGINEERING 63: (4) pp. 961-970.
type of document: Journal paper/Article
language: English
URL 
2019

Gyula Ábrahám, György Dósa, Ágnes Werner-Stark, Tibor Dulai: Learning the parameters of a reinforcement learning algorithm for process optimization, In: Veszprém Optimization Workshop, (2019) pp. 11-11.
type of document:
language: English
2019

Gyula Ábrahám, György Dósa, Ágnes Werner-Stark, Tibor Dulai: Learning the parameters of a reinforcement learning algorithm for process optimization,
type of document:
language: English
2018

Ábrahám Gyula, Starkné Werner Ágnes: Emberi tényezők vizsgálata speciális hibafa elemzési módszerrel az üzleti és gyártási folyamatok végrehajtásának hatékonyabbá tétele érdekében,
type of document:
language: Hungarian
2017

Ábrahám Gyula, Starkné Werner Ágnes, Dósa György, Dulai Tibor: Reinforcement learning in process scheduling, In: Fülöp, Attila; Iványi, Péter (szerk.) 13th Miklós Iványi International PhD & DLA Symposium - Abstract Book : Architectural, Engineering and Information Sciences, Pollack Press (2017) pp. 15-15.
type of document:
language: English
2017

Tibor Dulai, Ágnes Werner-Stark, Gyula Ábrahám: Improvement of resource allocation in workflows by stochastic method,
type of document:
language: English
2016

Werner-Stark A, Dulai T, Ábrahám Gy: Support of efficient resource allocation of technological processes by a heuristic solution and agent technology, In: Emrouznejad, A; R, Banker; H, Ahn; M, Afsharian (szerk.) Data Envelopment Analysis and its Applications, Technische Universität Braunschweig (2016) pp. 153-158.
type of document: Part of book/Proceedings Paper
language: English
2014

Werner-Stark A, Dulai T, Ábrahám Gy: Modeling of an agent system to support the management of cooperating and rival resources for business workflows, In: PROCEEDINGS OF SIMULTECH 2014, SciTePress (2014) pp. 407-412.
type of document: Conference paper/Előadás vagy poszter cikke
language: English
URL 
Number of independent citations to these publications:
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:
 
number of independent citations to scientific publications and creative works:
 
Research
research area Application of reinforcement learning, process mining methods and metaheuristics in solving bin packing and scheduling problems
research field in which current research is conducted computer sciences
thesis topic announcement Apply of reinforcement learning, process mining methods and metaheuristics to solving bin packing and scheduling problems


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. )