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

• 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)
• Multistatic fiber-based system for measuring the Mueller matrix bidirectional reflectance distribution function (2022)
• Practical spectral photography II: snapshot spectral imaging using linear retarders and microgrid polarization cameras (2022)
• StarNAV with a wide field-of-view optical sensor (2022)
• Bio-inspired spectropolarimetric sensor based on tandem organic photodetectors and multi-twist liquid crystals (2021)
• Computer vision approach to characterize size and shape phenotypes of horticultural crops using high-throughput imagery (2021)
• Computer vision for detecting field‐evolved lepidopteran resistance to Bt maize (2021)