Kristin Eklöf
Artificial Intelligence and
Real World Knowledge
The vision of salbo.ai is to contribute to a sustainable society by creating data-driven, fact-based decision support, enabling our common assets to last longer and to be utilized more efficiently. With a unique competence in advanced analytics and artificial intelligence applied to transportation, infrastructure, and construction, salbo.ai creates actionable insights from large and small amounts of data.
I am passionate about extracting valuable insights from data and to bridge the gap between data and business. I believe that artificial intelligence needs hands-on real world knowledge to be efficient - and I aim to combine the best of both worlds.
I dwell in possibility.
-- Emily Dickinson
Doctoral Dissertation: A Microdata Analysis Approach to Transport Infrastructure Maintenance
Svenson, K., Li, Y., Machucova, Z., and Rönnegård, L., Transportation Research Record: Journal of the Transportation Research Board, 2016, Vol.2589, 51-58.
Svenson, K., McRobbie, S., and Alam, M., , International Journal of Pavement Engineering, 2019, Vol 20, No. 4, 458-465.
Svenson, K., Journal of Transportation Engineering, 2014, Vol. 140, No. 11, 04014056.
Nilsson, J-E., Svenson, K., and Haraldsson, M., Transportation Research Part A: Policy and Practice, 2021, Vol 139, 455-471.
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