FH-Prof.

Vitaliy Mezhuyev

PhD ScD

 

Portrait

Vitaliy Mezhuyev erhielt 1997 einen Abschluss in Informatik an der Staatlichen Pädagogischen Universität Berdjansk (BSPU), Ukraine. 2002 promovierte er an der Nationalen Pädagogischen Universität Kiew im Fach Pädagogik und 2012 habilitierte er in Informationstechnologie an der Nationalen Technischen Universität Odessa (ONTU), Ukraine. Von 2004 bis 2014 war er Leiter der Abteilung für Informatik und Softwaretechnik an der BSPU in der Ukraine. Von 2014 bis 2019 war er Professor an der Fakultät für Computersysteme und Softwaretechnik der Universität Malaysia Pahang, sowie Leiter der Forschungsgruppe Softwaretechnik. Seit August 2019 ist er Professor am Institut für Industrie Wirtschaft der FH JOANNEUM in Kapfenberg, Österreich. Im Laufe seiner Karriere nahm Vitaliy Mezhuyev an zahlreichen internationalen wissenschaftlichen und industriellen Projekten teil, die sich mit der formalen Modellierung, dem Design und der Entwicklung fortschrittlicher Softwaresysteme als netzzentriertem Echtzeitbetriebssystem befassten. IDEs zur Automatisierung der Entwicklung paralleler Echtzeitanwendungen; Tools zur Spezifikation, Überprüfung und Validierung von Softwareprodukten; visuelle Umgebung für die Modellierung von Metamaterialien und andere. Seine aktuellen Forschungsinteressen umfassen Formale Methoden, Metamodellierung, Entwicklung von Informationssystemen, Sicherheitsmodellierung und Verifikation von Softwaresystemen, IoT und den Entwurf von Cyber-Physikalischen Systemen.

Publications made in 2022-23

(1) Papers in international peer-reviewed journals

1. Vitaliy Mezhuyev, Katharina Lackner, Anja Stadlhofer. Providing Interpretability to Machine Learning Models in an Industrial context: a Case Study from the Smart Production Lab. WINGbusiness. 2023.
2. B. Mario, V. Mezhuyev and M. Tschandl, Predictive Maintenance for Railway Domain: a Systematic Literature Review, in IEEE Engineering Management Review. 2023. DOI: 10.1109/EMR.2023.3262282. https://ieeexplore.ieee.org/document/10082880
3. Eugene Malakhov, Maiia Bocharova, Vitaliy Mezhuyev. VacancySBERT: the method for representation of titles and skills for semantic similarity search in the recruitment domain. Applied Aspects of Information Technology, Odesa. Vol. 6 № 1, 2023. DOI: 10.15276/aait.06.2023.4
4. Raphael Hartner, Vitaliy Mezhuyev. Time series-based forecasting methods in production systems: a systematic literature review. Journal of Computers & Industrial Engineering, International Journal of Industrial Engineering and Management. Volume 13. No 2. June 2022. Pp. 119-134. DOI: http://doi.org/10.24867/IJIEM-2022-2-306
5. Shchetynina, O., Kravchenko, N., Horbatiuk, L., Alieksieieva, H., Mezhuyev, V. (2022). Trello as a Tool for the Development of Lifelong Learning Skills of Senior Students. Postmodern Openings, 13(2), 143-167. https://doi.org/10.18662/po/13.2/447
6. Martin Tschandl, Claudia Brandstätter, Vitaliy Mezhuyev, Ronald Gleich. Kostenmanagement als Erfolgsfaktor in Krisenzeiten: am Beispiel der CoVid19 Pandemie. In: CFO aktuell – Zeitschrift für Finance & Controlling, 16. Jahrgang, Issue 2/2022, ISSN: 1993-2960, S. 103-106.
7. Maximilian Gotthardt, Vitaliy Mezhuyev. Measuring the Success of Recommender Systems: a PLS-SEM Approach. IEEE Access. 2022. Vol. 10. Pp. 30610-30623. DOI: 10.1109/ACCESS.2022.3159652. Print ISSN: 2169-3536, Online ISSN: 2169-3536.

(2) Papers in international peer-reviewed conference proceedings

1. Max Simon Teubl, Vitaliy Mezhuyev, Martin Tschandl. Development of an ML model for the classification of surface quality in a milling process. Proceedings of the 2023 9th International Conference on Computer Technology Applications (ICCTA '23). May 2023, Austria.
2. Michael Hafenscherer, Vitaliy Mezhuyev, and Martin Tschand. 2023. Robotic process automation of calculating investments in a business project. Proceedings of the 2023 12th International Conference on Software and Computer Applications (ICSCA '23). February 2023, Malaysia. Pp. 309–314. https://doi.org/10.1145/3587828.3587874
3. Mezhuyev Vitaliy, Sorko Sabrina, Mayer Barbara, Lackner Katharina. Development of an expert system to support the decision-making process on the shop floor. New Perspectives and Paradigms in Applied Economics and Business - Selected Proceedings of the 2022 6th International Conference on Applied Economics and Business (ICAEB 2022). DOI: 10.1007/978-3-031-23844-4
4. Vitaliy Mezhuyev, Martin Tschandl, Claudia Brandstätter. Model of effective cost management in the time of corona crisis: a PLS-SEM approach, Proceedings of 8th International Conference on Computer Technology Applications (ICCTA 2022), Vienna/Austria, May 2022. Pp. 11–15. https://doi.org/10.1145/3543712.3543753
5. Raphael Hartner, Joachim Komar, Vitaliy Mezhuyev An approach for increasing the throughput of CNN-based quality inspections systems in constrained environments. 11th International Conference on Software and Computer Applications (ICSCA 2022), February 24-26, 2022, Melaka, Malaysia. Pp. 179–184. https://doi.org/10.1145/3524304.3524330
6. Pavlenko, L.; Pavlenko, M.; Khomenko, V. and Mezhuyev, V. (2022). Application of R Programming Language in Learning Statistics. In Proceedings of the 1st Symposium on Advances in Educational Technology, Vol. 2: AET, ISBN 978-989-758-558-6, pp. 62-72. DOI: 10.5220/0010928500003364
7. Pavlenko, M.; Pavlenko, L. and Mezhuyev, V. (2022). Virtualization Technologies in the Training Future IT Specialists to the Subject "IP Telephony". In Proceedings of the 1st Symposium on Advances in Educational Technology, Vol. 2: AET, ISBN 978-989-758-558-6, pp. 52-61. DOI: 10.5220/0010928400003364
8. Tschandl M., Mezhuyev V., Möstl D. (2022) Robotic Process Automation Technology Acceptance: A Case Study from Austrian Companies. In: Al-Emran M., Al-Sharafi M.A., Al-Kabi M.N., Shaalan K. (eds) Proceedings of International Conference on Emerging Technologies and Intelligent Systems. ICETIS 2021. Lecture Notes in Networks and Systems, vol 322. Springer, Cham. https://doi.org/10.1007/978-3-030-85990-9_64

(3) Book chapter

1. Mueller, C., Mezhuyev, V. (2022). AI Models and Methods in Automotive Manufacturing: A Systematic Literature Review. In: Al-Emran, M., Shaalan, K. (eds) Recent Innovations in Artificial Intelligence and Smart Applications. Studies in Computational Intelligence, vol 1061. Springer, Cham. https://doi.org/10.1007/978-3-031-14748-7_1