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Prof. Mohammed Kamruzzaman

Professor Mohammed Kamruzzaman is the director of Illinois Optical Sensing and Nanozyme Engineering Lab (IOSNEL) and Assistant Professor in the Department of Agricultural and Biological Engineering at the University of Illinois at Urbana-Champaign. He is affiliated with the Center of Digital Agriculture.

Prof Kamruzzaman received BSc in Chemical Engineering from Bangladesh University of Engineering and Technology (BUET), Dhaka, Bangladesh, and MSc in Food Science, Technology and Nutrition from a consortium of four European Universities (Belgium, Germany, Ireland, and Portugal). He obtained Ph.D. in Biosystems Engineering from University College Dublin (UCD), Ireland. He conducted post-doctoral research at The University of Tokyo, Japan, and the University of California, Davis (UC Davis). He was a former faculty at Bangladesh Agricultural University.

Prof Kamruzzaman has extensive documented records of authorship on hyperspectral imaging and his many scholarly works have become standard reference materials for researchers in hyperspectral imaging applications. He was one of the highly cited researchers in 2019 by Clarivate Analytics (formerly Thomson Reuters).

Prof 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. He also uses deep learning techniques with hyperspectral image reconstruction from RGB images for agricultural and biological applications to enhance the real-world applications of hyperspectral imaging technologies.

Since joining UIUC in 2020, he established the Illinois Optical Sensing and Nanozyme Engineering Lab (IOSNEL), consisting of three specialized labs: IHIL (Illinois Hyperspectral Imaging Lab), ISAL (Illinois Smart Analytical Lab), and INEL (Illinois Nanozyme Engineering Lab), focusing on optical sensing and nanozyme engineering. INEL, in particular, focuses on developing organic compound-based nanozymes for point-of-use biosensors and rapid diagnostic testing (RDT) systems to accurately detect a wide range of agricultural biomolecules in agricultural settings. This contributes to sustainable and environmentally conscious agricultural practices while safeguarding both ecosystems and human health.

Khaliduzzaman

His groundbreaking work focuses on the transformation of the egg industry through the integration of advanced technologies. By utilizing non-destructive optical sensing, IoT, AI, big data, and cloud computing, he aims to develop smart systems for egg production, quality inspection, and grading. His research highlights the potential of these innovations to enhance automation, biosecurity, and animal welfare. A significant part of his work involves applying various CNN and transfer learning models for nondestructive chicken egg fertility detection, demonstrating their high accuracy and potential for industry-wide implementation

1.  Ahmed, M. W., Hossainy, S. J., Khaliduzzaman, A., Emmert, J. L., & Kamruzzaman, M. (2023). Non-destructive optical sensing technologies for advancing the egg industry toward industry 4.0: A review. Comprehensive Reviews in Food Science and Food Safety, 22, 4378–4403. Link to DOI