Rate My Professor Josh Chopin

Dr. Josh Chopin is a Lecturer in the School of Mathematical Sciences within the College of Sciences at the University of Adelaide. Prior to his current role, he was a Lecturer at the University of South Australia (UniSA STEM) and a Research Associate at UniSA following the completion of his PhD there around 2016. His doctoral research, titled "New methods and algorithms for image-based plant phenotyping," was supervised by Stanley J. Miklavcic at UniSA and Hamid Laga at Murdoch University. Chopin's academic interests lie in the application of mathematics, image analysis, data science, machine learning, and computational methods to plant phenomics, with a particular emphasis on high-throughput phenotyping techniques for crops such as wheat.

His key publications demonstrate significant contributions to the field. These include "Detection and analysis of wheat spikes using convolutional neural networks" (Plant Methods, 2018; 326 citations; co-authors M.M. Hasan, H. Laga, S.J. Miklavcic), "Quantitative estimation of wheat phenotyping traits using ground and aerial imagery" (Remote Sensing, 2018; 58 citations; co-authors Z. Khan, J. Cai, V.-R. Eichi, S. Haefele, S.J. Miklavcic), "RootAnalyzer: a cross-section image analysis tool for automated characterization of root cells and tissues" (PLoS ONE, 2015; 52 citations; co-authors H. Laga, C.-Y. Huang, S. Heuer, S.J. Miklavcic), "Land-based crop phenotyping by image analysis: Accurate estimation of canopy height distributions using stereo images" (PLoS ONE, 2018; 42 citations; co-authors J. Cai, P. Kumar, S.J. Miklavcic), and "Land-based crop phenotyping by image analysis: consistent canopy characterization from inconsistent field illumination" (Plant Methods, 2018; 25 citations; co-authors P. Kumar, S.J. Miklavcic). Additional works cover volume estimation from 2D projective images (International Journal of Food Properties, 2017), hybrid image segmentation for wheat leaves (PLoS ONE, 2016), and recent studies on wheat growth phenotyping (Sustainability, 2024) and radiosensitization (ChemPhysChem, 2025). At the University of Adelaide, he coordinates the postgraduate course Text and Social Media Analytics and supervises PhD research evaluating adversarial machine learning techniques on Synthetic Aperture Radar imagery.