Keegan Mbiyana

Doctoral student

Department of Mechanical Engineering Faculty of Technology

keegan.mbiyana@lnu.se

+46 470-70 82 09

+46 70-309 54 22

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Research

https://lnu.se/forskning/sok-forskning/maskinteknik/

My research groups

Smart Industry Group Smart Industry Group (SIG) is an interdisciplinary research group featuring expertise from computer science and mechanical engineering. SIG's focus is making production and…

My ongoing research projects

Project: Data-driven condition assessment of gravel roads for sustainable maintenance The project aims to improve the efficiency and effectiveness of the condition assessment of gravel roads to…

Publications

Article in journal (Refereed)

Mbiyana, K., Kans, M. (2024). A participatory data-driven approach for unpaved road condition monitoring. Journal of Construction Project Management and Innovation. 14 (1). 57-71.
Status: Published

Conference paper (Refereed)

Mbiyana, K., Kans, M., Campos, J. (2021). A data-driven approach for gravel road maintenance. 2021 International Conference on Maintenance and Intelligent Asset Management (ICMIAM). 1-6.

Article, review/survey (Refereed)

Mbiyana, K., Kans, M., Campos, J., Håkansson, L. (2023). Literature Review on Gravel Road Maintenance : Current State and Directions for Future Research. Transportation Research Record. Sage Publications. 2677 (5). 506-522.
Status: Published

Conference paper (Other academic)

Mbiyana, K., Kans, M. (2023). A participatory data-driven approach for unpaved road condition monitoring. Proceedings of the 8th International Conference on Sustainable Transportation in Africa (ICTA2023) AVANI Victoria Falls Resort, Livingstone, Zambia, June 26 –28, 2023.

Licentiate thesis, comprehensive summary (Other academic)

Mbiyana, K. (2023). On the establishment of a data-driven approach to gravel road maintenance. Licentiate Thesis. Växjö, Linnaeus University Press. 44.