Lars Erik Solberg

I have a background in Signal Processing from NTNU, with a Ph.D within radar signal processing. I also have experience in a Norwegian start-up and where ultrasound was used in mobile devices to support a man-machine interface. In Nofima, I work with spectrometry for industrial applications, in particular within land-based food industry. I also apply machine learning to image or video sources, mostly for aquaculture applications.

My Projects

Next-Level-Welfare Behavioural monitoring of aquatic animals

Biologically driven automation of salmon production conditions in RAS

Precision Food Production

Adapting spectral and molecular tools to improve fish welfare assessments

Digitalisation for better assesment of fish welfare

Better quality assessment with spectroscopy

Optimal salt reduction in smoked salmon

My publications

Welfare Indicators for Aquaculture Research: Toolboxes for Five Farmed European Fish Species

Applying deep learning and the ecological home range concept to document the spatial distribution of Atlantic salmon parr (Salmo salar L.) in experimental tanks

Diagnosing the cage of covariance to increase understanding and robustness of spectroscopic calibration models

Calibration transfer between different spectrometers by wavelength correspondence

Computational Test for Conditional Independence

In-Line Near-Infrared Spectroscopy Gives Rapid and Precise Assessment of Product Quality and Reveals Unknown Sources of Variation—A Case Study from Commercial Cheese Production

The role of biospectroscopy and chemometrics as enabling technologies for upcycling of raw materials from the food industry

In-Line Estimation of Fat Marbling in Whole Beef Striploins (Longissimus lumborum) by NIR Hyperspectral Imaging. A Closer Look at the Role of Myoglobin

Diagnosing indirect relationships in multivariate calibration models

Improved microbial and sensory quality of chicken meat by treatment with lactic acid, organic acid salts and modified atmosphere packaging

Making sense of multiple distance matrices through common and distinct components

Cage of covariance in calibration modeling: Regressing multiple and strongly correlated response variables onto a low rank subspace of explanatory variables

Improved control of Listeria monocytogenes during storage of raw salmon by treatment with the fermentate Verdad N6 and nisin

Analysis of Megavariate Data in Functional Omics

Test av verktøy for kontroll med Listeria i laks og lakseprodukter. Faglig sluttrapport

Next-Level-Welfare Behavioural monitoring of aquatic animals 