Søren Balling Engelsen
Professor
Food Analytics and Biotechnology
Rolighedsvej 26, 1958 Frederiksberg C
Education
1992 PhD Molecular Modeling, The Technical University, Denmark (DTU).
1990 PhD Institute of Food Science, Cornell University, Ithaca, New York, USA.
1988 MSc Chemical Engineering, The Technical University Denmark (DTU)
Affiliations
2004- Professor in Plant Food Science.
Head of Section for FoodQuality & Technology, Department of Food Science, Faculty of Life Sciences, University of Copenhagen, Denmark
2001-2004 Associate Professor
Head of the Food Technology Section, Department of Food Science, The Royal Veterinary and Agricultural University, Denmark
1999-2001 Associate Professor
Food Technology, Department of Food Science, The Royal Veterinary and Agricultural University, Denmark
1997-1999 Associate Research Professor
Food Technology, Department of Food Science, The Royal Veterinary and Agricultural University, Denmark
1995-1997 Assistant Professor
Food Technology, Department of Food Science, The Royal Veterinary and Agricultural University, Denmark
1993-1995 Post doc.
Ingénierie Moléculaire, Institut National de la Recherche Agronomique, Nantes, France
1992 Post doc.
Chemistry Department A, The Technical University of Denmark
1988-1992 Ph.D. stipendiate
supported by The Carlsberg Foundation. Chemistry Department A, The Technical University of Denmark
ResearcherID: http://www.researcherid.com/rid/D-7911-2011
Google Scholar: https://scholar.google.com/citations?user=fvsjbzYAAAAJ&hl=da&oi=ao
ResearchGate: https://www.researchgate.net/profile/Soren_Engelsen
Education
PhD
ID: 4235410
Most downloads
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2529
downloads
Clasificación de vinos de la D.O.Ca. rioja empleando resonancia mangnética nuclear de protón y técnicas quimiométricas
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Published -
1570
downloads
How the energy evaluation method used in the geometry optimization step affect the quality of the subsequent QSAR/QSPR models
Research output: Contribution to journal › Journal article › Research › peer-review
Published -
1475
downloads
Method for prediction of lipoprotein content from NMR data
Research output: Patent
Published