Illinois Optical Sensing and
Nanozyme Engineering Lab
Discover ISONEL's integration of hyperspectral imaging, nanozymes, and smart sensors, revolutionizing research, industry, and science.
OUR TEAM
Dong Hoon Lee
Dong Hoon is a Ph.D. student in Agricultural and Biological Engineering at UIUC. As an enthusiastic biological engineer/researcher with 7+ years of research experience in nanozymes and theiragricultural and biological applications.
Qianyi (Lisa) Wu
Lisa is a first-year Phd student focusing on nanozyme incorporated electrochemical sensor and its applications in agricultural and food industries. She previously earned her bachelor’s degree in ABE and Chemistry from UIUC and was an undergraduate research assistant in Dr.Kamruzzaman’s lab working on NIR/hyper-spectroscopical detection of flour adulterations.
Marcus Ferreira
As a food engineer and chemist, his pioneering research revolves around the cutting-edge utilization of smart sensors, including optical (RGN, NIR, and NIR-HIS) and olfactive sensors (electronic nose), in conjunction with advanced technologies such as artificial intelligence, machine learning, and chemometrics. His primary focus lies in developing and optimizing innovative application of these sensor technologies on lab-made equipment, specifically tailored for enhancing agricultural practices and processes.
Md Toukir Ahmed
Md Toukir Ahmed is a doctoral student in the Agricultural and Biological Engineering department at the University of Illinois at Urbana-Champaign. His research interests include machine learning-based spectral data analysis, hyperspectral image analysis, image reconstruction, and spectroscopic software design.
Md Wadud Ahmed
His current research focuses on developing an efficient and accurate system for early detection of egg fertility, embryonic mortality, and prediction of chick embryo sex using hyperspectral imaging with chemometrics and machine learning. He has received a bachelor’s in Food Engineering from Bangladesh Agricultural University and Masters’s in Food Science, Technology and Business from KU Leuven.
Di Song
Di is a second-year PhD student, the research area is Crop Phenotype. The current contents are hyperspectral image processing, machine learning application, and deep learning studying. He has also interest in hardware development.
Runyu Zheng
As a food engineer and chemist, his pioneering research revolves around the cutting-edge utilization of smart sensors, including optical (RGN, NIR, and NIR-HIS) and olfactive sensors (electronic nose), in conjunction with advanced technologies such as artificial intelligence, machine learning, and chemometrics. His primary focus lies in developing and optimizing innovative application of these sensor technologies on lab-made equipment, specifically tailored for enhancing agricultural practices and processes.
LAST PUBLICATIONS
Hyperspectral imaging for beef adulteration.
Nanozymes detect herbicides in agriculture.
Global Calibration for quinoa flour fraud detection
Chemometrics in developing low-cost spectroscopic device
Research
Professor Kamruzzaman’s Group
Research Interests
- Sustainability of bioprocessing technologies
- Optical sensing technologies (NIR, FT-IR spectroscopy and Hyperpectral imaging)
- Real-time quality assessment/control of bioproducts/bioprocesses
- Internet of Foods (IoF) technologies
Machine learning in agriculture
Mission Statement
Dr. Kamruzzaman applies optical sensing technologies such as spectroscopy and hyperspectral imaging in tandem with chemometrics and machine learning to address the sustainability of bioprocessing technologies to promote the sustainable use of renewable resources. He also works on novel and innovative process routes for rapid and real-time characterization and quality assessment/control of bioproducts/bioprocesses to improve food security, quality, safety, and nutrition, while simultaneously accounting for environmental and socio-economic impacts.
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