Dr. Zlatko Jovanoski is a Senior Lecturer in Applied Mathematics in the School of Science at UNSW Canberra, University of New South Wales. He holds a BSc (Honours), PhD, and Master of Applied Statistics (MAppStats). His academic career is centered at UNSW Canberra, where he has contributed extensively to mathematical modelling across diverse fields. Jovanoski's research specializations include wildfire propagation, pyrocumulonimbus dynamics, population dynamics, combustion waves, solitons in nonlinear optics, and stochastic processes. As Mathematics Stream Coordinator in the UNSW Bushfire research initiative, he employs deterministic and stochastic modelling techniques to simulate bushfire spread, capturing interactions with environmental factors such as temperature, wind patterns, fuel load, and moisture levels altered by climate change. This approach enhances predictions of fire behavior, ecosystem resilience, and associated risks, supporting improved management strategies like fuel reduction programs and early warning systems.

Jovanoski has authored over 90 publications, including 71 journal articles, 25 conference papers, and supervision of theses. His most cited works demonstrate broad impact: 'Optical soliton perturbation in non-Kerr law media: traveling wave solution' (Biswas et al., 2012, 173 citations), 'Optical solitons in birefringent fibers with spatio-temporal dispersion' (Bhrawy et al., 2014, 117 citations), 'Student interpretations of the terms in first-order ordinary differential equations in modelling contexts' (Rowland and Jovanoski, 2004, 92 citations), 'Variational analysis of solitary waves in a homogeneous cubic-quintic nonlinear medium' (Jovanoski and Rowland, 2001, 74 citations), 'Optical solitons in multi-dimensions with spatio-temporal dispersion and non-Kerr law nonlinearity' (Xu et al., 2013, 56 citations), 'An economic order quantity model with reverse logistics program' (Sanni et al., 2020, 55 citations), and 'Impacts of biotic resource enrichment on a predator-prey population' (Safuan et al., 2013, 38 citations). Recent contributions focus on wildfires, such as 'Modelling wildfire propagation using the stochastic level-set method' (Masoudian et al., 2026), 'Incorporating Stochastic Wind Vectors in Wildfire Spread Prediction' (Masoudian et al., 2023), and 'Investigating the Effect of Fuel Moisture and Atmospheric Instability on PyroCb Occurrence over Southeast Australia' (Ma et al., 2023). With over 1,160 citations, his work influences applied mathematics, ecology, and climate risk assessment.

Professional Email: z.jovanoski@unsw.edu.au