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April 4, 2024

IOSNEL student Runyu Zheng successfully defended her MS research titled “PREDICTION OF MOISTURE AND PROTEIN IN CORN KERNELS FROM MULTIPLE ORIGINS BASED ON NIR-PLSR WITH GRADIENT BOOSTING MACHINES FOR FEATURE SELECTION”

Congratulations Runyu!

August 1, 2024

IOSNEL student Nathaniel Glen Schumer successfully defended his MS research titled “CHEMOMETRIC-BASED COMPLIANCE APPROACH FOR DETECTION OF ECONOMICALLY MOTIVATED FRAUD IN MULTIPLEORGANIC SPICES USING NIR SPECTROSCOPY”.

Congratulations Nathaniel!

December 3, 2024

IOSNEL student Dong Hoon Lee successfully defended his PhD research titled "ORGANIC MATERIAL-BASED, NEXT-GENERATION NANOZYME FOR EFFECTIVE AGRICULTURAL BIOMOLECULE SENSING".

Congratulations Dr. Lee!

March 27, 2025

IOSNEL student Md. Toukir Ahmed successfully defended his PhD research titled “EXPLAINABLE ARTIFICIAL INTELLIGENCE AND DEEP RECONSTRUCTION OF HYPERSPECTRAL IMAGES FOR ADVANCING SWEETPOTATO QUALITY EVALUATION”.

Congratulations Dr. Ahmed!

April 10, 2025

IOSNEL student Md Wadud Ahmed successfully defended his PhD research titled “APPLICATION OF SPECTRAL TECHNIQUES AND MACHINE LEARNING FOR FERTILITY, MORTALITY, SEX, AND STRUCTURAL EVALUATION OF EGGS”.

Congratulations Dr. Ahmed!

January 9, 2025

Smart food drying techniques with AI enhance product quality and efficiency

January 9, 2025

Researchers investigate AI-based smart techniques to predict food drying endpoint

April 24, 2024

Sweet potato quality analysis is enhanced with hyperspectral imaging and AI

Khaliduzzaman

Dr. Khaliduzzaman earned his PhD in Bio-Sensing Engineering from Kyoto University, Japan. During his doctoral studies, he focused on non-destructive optical sensing techniques and imaging technologies for  egg and poultry industry. Following his PhD, he served as a JSPS Postdoctoral Fellow at Kyoto University. As a postdoctoral researcher at IOSNEL, his work focused on hyperspectral imaging  to enhance quality control and efficiency in the egg and poultry industries through the integration of advanced sensing and machine learning.​

1. Khaliduzzaman, A., Emmert, J. L., & Kamruzzaman, M (2025). Detection of early dead embryos using hyperspectral imaging system. 2025 International Poultry Scientific Forum, January 27-28, 2025, Atlanta, GA