Mina forskargrupper
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Maskinteknik Forskningen inom ämnet maskinteknik är bred och har sitt huvudsakliga fokus inom sex områden: strukturdynamik, materialteknik, industriell ekonomi, systemekonomi, materialmekanik, samt…
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Smart Industry Group (SIG) Smart Industry Group (SIG) är en tvärvetenskaplig forskargrupp med expertis från datavetenskap och maskinteknik. SIG:s fokus är att göra produktion och produkter inom…
Mina pågående forskningsprojekt
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Projekt: Smart Dat Målet med projektet är att genom att erbjuda insatser inom automatisering och digitalisering för små och medelstora företag (SMF) inom tillverkande sektor i Linnéregionen stärka…
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Projektet Expertkompetens Smart Industri, steg 2 Målet med projektet är att utveckla kurser på avancerad nivå kopplat till Smart Industri utifrån näringslivets kompetensbehov. Projektets målgrupp är…
Mina avslutade forskningsprojekt
Publikationer
Artikel i tidskrift (Refereegranskat)
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Algabroun, H., Håkansson, L. (2025). Parametric Machine Learning-Based Adaptive Sampling Algorithm for Efficient IoT Data Collection in Environmental Monitoring. Journal of Network and Systems Management. 33 (1).
Status: Publicerad -
Algabroun, H., Bokrantz, J., Al-Najjar, B., Skoogh, A. (2022). Development of digitalised maintenance : a concept. Journal of Quality in Maintenance Engineering. 28 (2). 367-390.
Status: Publicerad -
Algabroun, H. (2020). Dynamic sampling rate algorithm (DSRA) implemented in self-adaptive software architecture : a way to reduce the energy consumption of wireless sensors through event-based sampling. Microsystem Technologies : Micro- and Nanosystems Information Storage and Processing Systems. 26 (4). 1067-1074.
Status: Publicerad -
Algabroun, H., Iftikhar, M.U., Al-Najjar, B., Weyns, D. (2018). Maintenance 4.0 Framework using Self : Adaptive Software Architecture. Journal of Maintenance Engineering. 2. 280-293.
Status: Publicerad -
Al-Najjar, B., Algabroun, H., Jonsson, M. (2018). Maintenance 4.0 to fulfil the demands of Industry 4.0 and Factory of the Future. International Journal of Engineering Research and Applications. 8 (11). 20-31.
Status: Publicerad
Konferensbidrag (Refereegranskat)
- Ziada, O., Zhang, Y., Algabroun, H., Abiri, O., Olaogun, O., et al. (2024). Robot material processing and hardware-in-the-loop-based real-time simulations. Journal of Physics: Conference Series.
- Ziada, O., Schauerte, T., Pocorni, J.K., Algabroun, H., Bolmsjö, G., et al. (2022). Robotic Window Assembly : A Simulation Study and a Proposed Self-Adaptive Software Architecture. Proceedings of the 10th Swedish Production Symposium. 111-121.
- Algabroun, H., Al-Najjar, B., Jonsson, M. (2020). A framework for the integration of digitalised maintenance systems with relevant working areas : A case study. 4th IFAC Workshop on Advanced Maintenance Engineering, Services and Technologies - AMEST 2020. 185-190.
- Algabroun, H., Al-Najjar, B., Ingwald, A. (2019). Assessment of the impact of maintenance integration within a plant using MFD : A case study. Asset Intelligence through Integration and Interoperability and Contemporary Vibration Engineering Technologies : Proceedings of the 12th World Congress on Engineering Asset Management and the 13th International Conference on Vibration Engineering and Technology of Machinery. 61-71.
- Al-Najjar, B., Algabroun, H., Jonsson, M. (2018). Smart maintenance model using cyber physical system. Paper presented at the International Conference on "Role of Industrial Engineering in Industry 4.0 Paradigm" (ICIEIND), Bhubaneswar, India, September 27-30, 2018. 1-6.
- Al-Najjar, B., Algabroun, H. (2018). A Model for Increasing Effectiveness and Profitability of Maintenance Performance : A Case Study. Engineering Asset Management 2016 : Proceedings of the 11th World Congress on Engineering Asset Management. 1-12.
- Algabroun, H., Iftikhar, M.U., Al-Najjar, B., Weyns, D. (2017). Maintenance 4.0 Framework Using Self-Adaptive Software Architecture. Proceedings of 2nd International Conference on Maintenance Engineering, IncoME-II 2017.The University of Manchester, UK.
Doktorsavhandling, sammanläggning (Övrigt vetenskapligt)
- Algabroun, H. (2020). On the development of a new digitalised maintenance approach for factories of the future. Doctoral Thesis. Växjö, Linnaeus University Press. 83.
Licentiatavhandling, sammanläggning (Övrigt vetenskapligt)
- Algabroun, H. (2017). On the development of a maintenance approach for factory of the future implementing Industry 4.0. Licentiate Thesis. Växjö, Linnaeus University Press. 40.