Dr. rer. nat. Md Majharul Islam Babor
Abteilung: Data Science in Bioeconomy
Mitarbeit in Forschungsprogrammen
Projekte
Veröffentlichungen
- Babor, M.; Liu, S.; Arefi, A.; Olszewska-Widdrat, A.; Sturm, B.; Venus, J.; Höhne, M. (2024): Domain-Invariant Monitoring for Lactic Acid Production: Transfer Learning from Glucose to Bio-Waste Using Machine Learning Interpretation. Bioresource Technology. : p. 1-23. Online: Preprint: http://dx.doi.org/10.2139/ssrn.5012080
- Arefi, A.; Sturm, B.; Babor, M.; Horf, M.; Hoffmann, T.; Höhne, M.; Friedrich, K.; Schroedter, L.; Venus, J.; Olszewska-Widdrat, A. (2024): Digital model of biochemical reactions in lactic acid bacterial fermentation of simple glucose and biowaste substrates. Heliyon. (19): p. 38791. Online: https://doi.org/10.1016/j.heliyon.2024.e38791
- Olszewska-Widdrat, A.; Babor, M.; Höhne, M.; Alexandri, M.; López Gómez, J.; Venus, J. (2024): A mathematical model-based evaluation of yeast extract’s effects on microbial growth and substrate consumption for lactic acid production by Bacillus coagulans. Process Biochemistry. (November): p. 304-315. Online: https://doi.org/10.1016/j.procbio.2024.07.017
- Munyendo, L.; Babor, M.; Zhang, Y.; Hitzmann, B. (2023): Chemometrics using near-infrared spectra for the quantification of robusta coffee and chicory added as adulterants in roasted arabica coffee. Journal of Food Measurement and Characterization. : p. 1-14. Online: https://doi.org/10.1007/s11694-023-02188-w