Michael Kudenov

Biography

Dr. Kudenov completed his BS degree in Electrical Engineering at the University of Alaska Fairbanks in Fairbanks, AK in 2005. Upon graduation, his personal interest in astronomy and photography lead him to obtain his Ph.D. in Optical Sciences at The University of Arizona (UA) in Tucson, AZ in 2009. Following his Ph.D., he remained as an Assistant Research Professor at the UA until departing for North Carolina State University in 2012. Research performed at the UA included visible and infrared imaging polarimetry, spectroscopy, 3D profilometry, interferometry, active learning, and lens design.

His current research is focused on developing novel imaging systems, interferometers, detectors, and anisotropic materials related to polarization and spectral sensing, for wavelengths spanning ultraviolet through the thermal infrared. He is particularly interested in developing novel anisotropic materials and detector technologies that better enable snapshot systems, which are capable of maximizing the spatial, spectral, and/or polarimetric information contained within a single image. Applications include biomedical imaging, remote sensing, food safety, 3D Imaging, and atmospheric monitoring.

Dr. Kudenov has authored 13 journal articles, 15 conference proceedings, 2 patents (pending), 1 book contribution, and is in the process of writing a new book on instrumentation. He is currently interested in obtaining undergraduate and graduate student researchers.

Education

• Ph.D. 2009
  Optical Sciences
  University of Arizona, Tucson
• Master's 2007
  Optical Sciences
  University of Arizona, Tucson
• Bachelor's 2005
  Electrical Engineering
  University of Alaska Fairbanks

Recent Publications

• A Comparison of Three Automated Root-Knot Nematode Egg Counting Approaches Using Machine Learning, Image Analysis, and a Hybrid Model (2024)
• Advancing sweetpotato quality assessment with hyperspectral imaging and explainable artificial intelligence (2024)
• Evaluating two high-throughput phenotyping platforms at early stages of the post-harvest pipeline of sweetpotatoes (2024)
• Exceptional Alignment in a Donor-Acceptor Conjugated Polymer via a Previously Unobserved Liquid Crystal Mesophase (2024)
• Flexible Self-Powered Organic Photodetector with High Detectivity for Continuous On-Plant Sensing (2024)
• The quantification of southern corn leaf blight disease using deep UV fluorescence spectroscopy and autoencoder anomaly detection techniques (2024)
• Hybrid spatial-temporal Mueller matrix imaging spectropolarimeter for high throughput plant phenotyping (2023)
• Cephalopod-inspired snapshot multispectral sensor based on geometric phase lens and stacked organic photodetectors (2022)
• Drone-based polarization imaging for phenotyping peanut in response to leaf spot disease (2022)
• Flexible sensor patch for continuous carbon dioxide monitoring (2022)

Awards & Honors