Mohammed Kamruzzaman

Assistant Professor

University of Illinois at Urbana-Champaign

United States

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Mohammed Kamruzzaman is an Assistant Professor at the University of Illinois at Urbana Champaign, USA. His research focuses on the application of advanced analytical techniques, including near-infrared spectroscopy and machine learning, for sustainable biomass characterization, food safety, and agricultural quality assessment. Recent publications highlight his work on non-destructive measurement techniques and the development of sustainable nanozymes.

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2025

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2021

Collaborators (3)

Omer H. M. Ibrahim

SAUDI ARABIA

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Jason Emmert

Professor

University of Illinois Urbana–Champaign

UNITED STATES

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Alin Khaliduzzaman

Specially Appointed Assistant Professor

University of Hyogo

JAPAN

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Mohammed Kamruzzaman

Research Interests

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About

Articles (20)

Near-infrared spectroscopy as a green analytical tool for sustainable biomass characterization for biofuels and bioproducts: An overview

Non‐destructive quantification of egg yolk ratio using visible–near‐infrared hyperspectral imaging, machine learning and explainable AI

Sustainable nanozymes: recent trends and future directions

Non‐destructive measurement of eggshell strength using NIR spectroscopy and explainable artificial intelligence

Non-destructive measurement of eggshell strength using NIR spectroscopy and explainable artificial intelligence

A systematic review of explainable artificial intelligence for spectroscopic agricultural quality assessment

Portable and miniature sensors in supply chain for food authentication: a review

Advancing Food Safety in Bangladesh: Challenges and the Promise of Smart Sensor Technology

Non-destructive pre-incubation sex determination in chicken eggs using hyperspectral imaging and machine learning

Organic Polymer-Based C-A-Fe Nanozyme for Dual-Sensitive Colorimetric Detection of Hg2+ and Cr6+

Multivariate optimization of hyperspectral imaging for adulteration detection of ground beef: Towards the development of generic algorithms to predict adulterated ground beef and for digital sorting

Appropriate use of chemometrics for feasibility study for developing low-cost filter-based multi-parameter detection spectroscopic device for meat proximate analysis

Reagent-free detection of multiple allergens in gluten-free flour using NIR spectroscopy and multivariate analysis

Global calibration for non-targeted fraud detection in quinoa flour using portable hyperspectral imaging and chemometrics

Organic compound-based nanozymes for agricultural herbicide detection

An overview of recent advances and applications of FT-IR spectroscopy for quality, authenticity, and adulteration detection in edible oils

Portable NIR spectroscopy and PLS based variable selection for adulteration detection in quinoa flour

Effect of variable selection algorithms on model performance for predicting moisture content in biological materials using spectral data

Real-time moisture monitoring of edible coated apple chips during hot air drying using miniature NIR spectroscopy and chemometrics

Antioxidant assessment of agricultural produce using fluorescence techniques: a review

Collaborators (3)

Omer H. M. Ibrahim

Jason Emmert

Alin Khaliduzzaman

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