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Data sheet of PhD student
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Personal data
name Zsuzsanna Nagy
name of institution University of Pannonia
doctoral school PE Doctoral School of Information Science and Technology
Supervision
thesis supervisor Ágnes Starkné Werner
one supervisor or with co-supervisor individual
degree PhD
starting of doctoral studies 2020/02
date of final certificate (year,month) 2024/01
deadline to accomplish doctoral procedure(year,month) 2025/01
Publications
2024

 Nagy Zsuzsanna, Werner Ágnes: Visualization Methods to Support Real-time Process Monitoring, In: Lupenko, Serhii; Lytvynenko, Iaroslav (szerk.) Proceedings of the 3rd International Workshop on Information Technologies: Theoretical and Applied Problems 2023, CEUR Workshop Proceedings (CEUR-WS.org) (2024) pp. 1-14.
type of document: Part of book/Proceedings Paper
language: English
2022

 Nagy Zsuzsanna, Werner-Stark Ágnes, Dulai Tibor: An Artificial Bee Colony Algorithm for Static and Dynamic Capacitated Arc Routing Problems, MATHEMATICS 10: (13) 2205
type of document: Journal paper/Article
number of independent citations: 5
language: English
URL 
2022

 Nagy Zsuzsanna, Werner-Stark Agnes: An Alignment-based Multi-Perspective Online Conformance Checking Technique, ACTA POLYTECHNICA HUNGARICA 19: (4) pp. 105-127.
type of document: Journal paper/Article
number of independent citations: 3
language: English
URL 
2022

 Nagy Zsuzsanna, Werner-Stark Ágnes, Dulai Tibor: Solving Data-driven Dynamic Capacitated Arc Routing Problems, In: Middle-European Conference on Applied Theoretical Computer Science (MATCOS-22), (2022) pp. 16-16.
type of document:
language: English
2022

 Nagy Zsuzsanna, Werner-Stark Ágnes: Real-time Visualization of the Outputs of Multi-perspective Online Conformance Checking Analysis, In: Iványi, Péter (szerk.) Abstract book for the18th MIKLÓS IVÁNYI INTERNATIONAL PHD & DLA SYMPOSIUM, Pollack Press (2022) 80
type of document:
language: English
2021

 Nagy Zsuzsanna, Werner-Stark Ágnes, Dulai Tibor: A Data-driven Solution for The Dynamic Capacitated Arc Routing Problem, In: Helena, Kratochvílová; Radek, Kratochvíl (szerk.) Proceedings of IAC in Budapest 2021, Czech Institute of Academic Education z.s. (2021) pp. 64-83.
type of document: Part of book/Proceedings Paper
language: English
2021

 Nagy Zsuzsanna, Werner-Stark Ágnes, Dulai Tibor: Solving the Capacitated Arc Routing Problem by a Special Evolutionary Optimization Algorithm, In: Raffai, Mária; Kosztyán, Zsolt Tibor (szerk.) OGIK'2021 Országos Gazdaságinformatikai Konferencia, Platina Nyomda és Kiadó Kft. (2021) pp. 41-42.
type of document:
language: English
2020

 Nagy Zsuzsanna, Werner-Stark Agnes: A Multi-perspective Online Conformance Checking Technique, In: 2020 6th International Conference on Information Management (ICIM), IEEE (2020) pp. 172-176.
type of document: Part of book/Szaktanulmány (to be translated)
number of independent citations: 1
language: English
URL 
2020

 Nagy Zsuzsanna, Starkné Werner Ágnes: An alignment-based multi-perspective online conformance checking technique, In: Iványi, Péter (szerk.) Abstract book for the 16th MIKLÓS IVÁNYI INTERNATIONAL PHD & DLA SYMPOSIUM, Pollack Press (2020) 126
type of document: Part of book/Proceedings Paper
language: English
2019

 Nagy Zsuzsanna, Werner-Stark Agnes, Dulai Tibor: Using Process Mining in Real-Time to Reduce the Number of Faulty Products, In: Kamišalić Latifić, Aida; Podgorelec, Vili; Eder, Johann; Welzer, Tatjana (szerk.) Advances in Databases and Information Systems, Springer-Verlag (2019) pp. 89-104.
type of document: Part of book/Proceedings Paper
number of independent citations: 3
language: English
URL 
2018

 Nagy Zsuzsanna, Werner-Stark Ágnes, Dulai Tibor: An Industrial Application Using Process Mining to Reduce the Number of Faulty Products, In: András, Benczúr; Bernhard, Thalheim; Tomáš, Horváth; Silvia, Chiusano; Tania, Cerquitelli; Csaba, Sidló; Peter, Z Revesz (szerk.) New Trends in Databases and Information Systems, Springer-Verlag (2018) pp. 352-363.
type of document:
number of independent citations: 2
language: English
URL 
Number of independent citations to these publications:14 
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 process mining
research field in which current research is conducted computer sciences
thesis topic announcement Applying process mining and machine learning methods to analytics of business processes and resource allocation

 
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. )