Manoranjan Kumar | lnu.se

My research groups

Data Intensive Software Technologies and Applications (DISTA) The research group Data Intensive Software Technologies and Applications studies data-driven approaches, such as machine learning,…
Data-driven Software and Information Quality Within the research area Data-driven Software and Information Quality, the objective of Linnaeus University Centre for Data Intensive Sciences and…

My ongoing research projects

Doctoral project: Digital twin developments within Volvo CE This doctoral project relates to develop a so-called digital twin platform. The aim is to understand customers' problems and support them…

Publications

Conference paper (Refereed)

Kumar, M., Cramsky, J., Löwe, W., Danielsson, P. (2023). A prediction model for exhaust gas regeneration(EGR) clogging using offline and online machinelearning. Commercial Vehicle Technology 2022 : Proceedings of 7th commercial vehicle technology symposium.. 185-198.