Mourad Kharbach

Chief Specialist (Data Sciences & Machine learning)

LAB University of Applied Sciences

Finland

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About

Mourad Kharbach is a Chief Specialist in Data Sciences and Machine Learning at LAB University of Applied Sciences in Finland. His research encompasses artificial intelligence applications in biomedical diagnostics, advanced spectroscopic techniques, and chemometric analysis in materials science and pharmaceutical analysis. Recent publications include studies on non-metallic inclusions in ultra-high-strength steels and the pharmacological properties of Moroccan Juniperus extracts.

Articles (10)

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2025

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2025

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2024

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2024

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2024

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2024

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2024

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2023

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2023

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2023

Collaborators (2)

Huiwen Yu

Københavns Universitet

DENMARK

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Yvan Vander Heyden

Vrije Universiteit Brussel

BELGIUM

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Mourad Kharbach

Research Interests

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Articles (10)

Artificial intelligence in biomedical diagnostics: Recent advances and transitions to liable regulation

Enhanced characterization of non-metallic inclusions in ultra-high-strength steels using advanced synchrotron-based X-ray absorption spectroscopy and chemometric analysis

Advanced Chemometric analysis of photoemission Electron microscopy imaging for detecting non-metallic inclusions in steel materials

Bioassay-guided isolation of anti-inflammatory and antinociceptive metabolites among three Moroccan Juniperus leaves extract supported with in vitro enzyme inhibitory assays

Current Applications of Multivariate Curve Resolution-Alternating Least Squares (MCR-ALS) in Pharmaceutical Analysis: Review

Exploring uncommon Fe-oxides in non-metallic inclusions in ultra-high-strength steel

The Role of Phytohormones in Alleviating Salt Stress in Rice

Quality Control and Authentication of Argan Oils: Application of Advanced Analytical Techniques

Current Application of Advancing Spectroscopy Techniques in Food Analysis: Data Handling with Chemometric Approaches

Quantification of ciprofloxacin in pharmaceutical products from various brands using FT-NIR: A comparative investigation of PLS and MCR-ALS

Collaborators (2)

Huiwen Yu

Yvan Vander Heyden

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