Josh Chopin

Dr Josh Chopin

Program Director

School of Mathematical Sciences

College of Science

Eligible to supervise Masters and PhD (as Co-Supervisor) - email supervisor to discuss availability.

Year Citation
2026 Cirocco, L. R., Chopin, J., Chiera, B., & Boland, J. W. (2026). Long Short-Term Memory Network and Statistical Time Series Analysis Forecast Models for 30 min Interval Wind Farm Power Output and Regional Price Variables. ENVIRONMETRICS, 37(2), 16 pages.
DOI Scopus1 WoS1
2025 Atkinson, J., Chopin, J., Bezak, E., Le, H., & Kempson, I. (2025). Gold nanoparticles cause radiosensitization in 4T1 cells by inhibiting DNA double strand break repair: single cell comparisons of DSB formation and γH2AX expression. ChemPhysChem, 26(3, article no. e202400764), 1-9.
DOI Scopus4 WoS4 Europe PMC1
2024 Miklavcic, S. J., Chopin, J., & Laga, H. (2024). Image-based phenotyping study of wheat growth and grain yield dependence on environmental conditions and nitrogen usage in a multi-year field trial. Sustainability, 16(9), 1-23.
DOI Scopus1 WoS1
2018 Khan, Z., Chopin, J., Cai, J., Eichi, V., Haefele, S., & Miklavcic, S. (2018). Quantitative estimation of wheat phenotyping traits using ground and aerial imagery. Remote Sensing, 10(6), 950-1-950-19.
DOI Scopus43 WoS39
2018 Cai, J., Kumar, P., Chopin, J., & Miklavcic, S. J. (2018). Land-based crop phenotyping by image analysis: accurate estimation of canopy height distributions using stereo images. PLoS one, 13(5), 1-21.
DOI Scopus28 WoS27 Europe PMC11
2018 Chopin, J., Kumar, P., & Miklavcic, S. J. (2018). Land-based crop phenotyping by image analysis: consistent canopy characterization from inconsistent field illumination. Plant methods, 14(1, article no. 39), 1-15.
DOI Scopus20 WoS21 Europe PMC6
2018 Hasan, M. M., Chopin, J. P., Laga, H., & Miklavcic, S. J. (2018). Detection and analysis of wheat spikes using Convolutional Neural Networks. Plant Methods, 14(article no. 100), 1-13.
DOI Scopus253 WoS210
2017 Chopin, J., Laga, H., & Miklavcic, S. J. (2017). A new method for accurate, high-throughput volume estimation from three 2D projective images. International journal of food properties, 20(10), 2344-2357.
DOI Scopus21 WoS20
2016 Chopin, J., Laga, H., & Miklavcic, S. J. (2016). The influence of object shape on the convergence of active contour models for image segmentation. Computer journal, 59(5), 603-615.
DOI Scopus6 WoS5
2016 Chopin, J., Laga, H., & Miklavcic., S. J. (2016). A hybrid approach for improving image segmentation: application to phenotyping of wheat leaves. Plos one, 11(12), 1-18.
DOI Scopus20 WoS16 Europe PMC8
2015 Chopin, J., Laga, H., Huang, C. Y., Heuer, S., & Miklavcic, S. J. (2015). RootAnalyzer: A cross-section image analysis tool for automated characterization of root cells and tissues. PLoS ONE, 10(9), 1-22.
DOI Scopus39 WoS25 Europe PMC20

Year Citation
2026 Panteli, E., Chopin, J., & Chiera, B. (2026). AstroArm: Robotic Hand Simulation Environment for Satellite Servicing. In T. Balasubramaniam, K. Liao, V. Vetrova, D. Benavides-Prado, Y. L. Boo, & Y. Zhao (Eds.), Communications in Computer and Information Science Vol. 2325 CCIS (pp. 141-154). AUSTRALIA, RMIT University (RMITU), Melbourne: SPRINGER-VERLAG SINGAPORE PTE LTD.
DOI
2013 Chopin, J. P., Miklavcic, S. J., & Laga, H. (2013). Selection of parameters in active contours for the phenotypic analysis of plants. In J. Piantadosi, R. S. Anderssen, & J. Boland (Eds.), MODSIM2013, 20th International Congress on Modelling and Simulation (pp. 510-516). Australia: Modelling and Simulation Society of Australia and New Zealand.
Scopus2 WoS3

Year Citation
2025 Atkinson, J., Chopin, J., Bezak, E., Le, H., & Kempson, I. (2025). Mechanisms of ATM Inhibitor AZD1390-Mediated Radiosensitization by Comparing DNA DSB Formation and Repair in 4T1 Cells.
DOI

Date Role Research Topic Program Degree Type Student Load Student Name
2026 Co-Supervisor Quantitative Methods for Strategic Analysis in Australian Football Master of Research Master Full Time Mr Otto Miro Sebastian Hedger
2025 Co-Supervisor In-Game Fatigue Quantification and Prediction in AFL and AFLW: Implications for Rotation and Injury Management Doctor of Philosophy Doctorate Full Time Miss Tiarna Jaide Grovermann
2023 Co-Supervisor Increasing the robustness of multi-modal object classification models against adversarial machine learning Master of Research (Statistics) Master Part Time Mr Adam George Chandler
2023 Co-Supervisor h4>111578 -Building Robotic Hand Simulations for Satellite Repairs in Space Doctor of Philosophy Doctorate Full Time Miss Eirini Panteli
2023 Co-Supervisor Increasing the robustness of multi-modal object classification models against adversarial machine learning Master of Philosophy Master Part Time Mr Adam George Chandler
2022 Co-Supervisor Determining the casual relationshop between competing elements of military options Doctor of Philosophy Doctorate Part Time Miss Junia Ruey Tiong
2022 Co-Supervisor Developing high-throughput spectroscopic methods for screening cereals genotypes for their micronutrient contents  Doctor of Philosophy Doctorate Full Time Mrs Rashin Andayesh

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