DISA

Volvo CE is a major player in the construction business and leads the development of machines and technologies for sustainability, autonomy, and connectivity. An enabler for this technology transformation is smart usage and integration of machine operation data and computer simulations. To increase the knowledge in Volvo CE, a cooperation with the Linnaeus University started and Manoranjan Kumar and Joel Cramsky became two of the first industry PhD-students in DIA.

Something that most developers in industry do not do in their daily work is to share their knowledge in publications, but it’s an important part during the PhD-studies. One part of these studies has led to a paper within Data Science, “A prediction model for exhaust gas regeneration(EGR) clogging using offline and online machine learning” and it was recently published as a part of the Conference Proceedings of the 7th International Commercial Vehicle Technology Symposium.

For more information about the publication see: https://link.springer.com/chapter/10.1007/978-3-658-40783-4_13