FH-Prof.

Vitaliy Mezhuyev

PhD ScD

 

Portrait

Vitaliy Mezhuyev received a specialist degree in informatics from Berdyansk State Pedagogical University (BSPU), Ukraine, in 1997. In 2002, he received a PhD in Educational Technology from Kyiv National Pedagogical University and, in 2012, an ScD (habilitation) in Information Technology from Odesa National Technical University, Ukraine. From 2004 until 2014, he was the Head of the Department of Informatics and Software Engineering at BSPU, Ukraine. From 2014 until 2019 he was a Professor at the Faculty of Computer Systems and Software Engineering at the University Malaysia Pahang, Head of the Software Engineering Research Group. Now he is a Professor at the Institute of Industrial Management in FH JOANNEUM University of Applied Sciences, Austria. During his career, Vitaliy Mezhuyev participated in multiple international scientific and industrial projects, devoted to the formal modeling, design, and development of advanced software systems as a network-centric real-time operating system; IDEs for the automation of development of parallel real-time applications; tools for specification, verification and validation of software products; visual environment for metamaterials modeling and others. His current research interests include formal methods, metamodeling, safety modeling and verification of software systems, IoT, and the design of cyber-physical systems.

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