An integrated near-infrared hyperspectral imaging (NIR-HSI), chemometrics, and machine-learning framework for detecting and quantifying adulteration in olive oil, saffron, and coffee
An integrated near-infrared hyperspectral imaging (NIR-HSI), chemometrics, and machine-learning framework for detecting and quantifying adulteration in olive oil, saffron, and coffeehttps://www.ugent.be/nl/agenda/doctoraten/20260604-la23https://www.ugent.be/++resource++plone-logo.svg
An integrated near-infrared hyperspectral imaging (NIR-HSI), chemometrics, and machine-learning framework for detecting and quantifying adulteration in olive oil, saffron, and coffee
Vakgroep Levensmiddelentechnologie, Voedselveiligheid en Gezondheid
Curriculum
Master of Science in Food Safety and Quality (2017, University of Nairobi)
Academische graad
Doctor in de Bio-ingenieurswetenschappen: levensmiddelenwetenschappen en voeding
Taal proefschrift
Engels
Promotor(en)
Prof. dr. Sam Van Haute (Promotor admin), BW23 - KR01 - Prof. dr. ir. Katleen Raes (Promotor), BW23
Examencommissie
Prof. dr. Andre Skirtach (Voorzitter), BW25 - Prof. Mahta Mirzaei (Secretaris), BW23 - KR01 - Prof. dr. Abdul Mouazen, BW20 - Prof. dr. Wesley De Neve, KR01 - EA06 - Prof. dr. Saskia van Ruth, University College Dublin, Ierland
Praktisch
Datum
Donderdag
4
juni
2026,
10:59
Locatie
Ghent University Global Campus Korea,
#114 Ghent University Building, Songdo Munhwa-Ro
119-5,
.
Yeonsu-Gu Incheon, South Korea