Rate My Professor Casey Josman

Dr. Casey Josman serves as a Lecturer in the Actuarial area within the Mathematics and Statistics discipline of the School of Electrical Engineering, Computing and Mathematical Sciences, Faculty of Science and Engineering at Curtin University. He earned his BSc in Actuarial and Applied Statistics with First Class Honours and his PhD, both from Curtin University, and holds the designation AFHEA, indicating Associate Fellow of the Higher Education Academy. Earlier in his career at Curtin University, Josman worked as a Tutor from 2015 to 2016, instructing courses including Engineering Mathematics 1 and 2, and Statistical Data Analysis 1. He is recognized for his passion in teaching applied data-driven research methods and proficiency in R programming, skills honed through his academic and tutoring roles.

Josman's research centers on sports analytics, employing statistical data analysis, machine learning techniques such as classification, feature selection, feature extraction, supervised learning, prediction algorithms, and R programming to study team sports. His publications include the conference paper 'Single-sensor classification of sporting movements through feature extraction using R' (2014); the article 'Classification of team sport activities using a single wearable tracking device' (2015, with Wundersitz, Gupta, Netto, Gastin, and Robertson); the conference paper 'Fixture Difficulty and Team Performance Models for use in the Australian Football League' (2016); the article 'Automatic detection of one-on-one tackles and ruck events using microtechnology in rugby union' (2019, with Bowan, Stridgeon, Cole, Gabbett, and Gupta); and the book chapter 'Markov Chain Models for the Near Real-Time Forecasting of Australian Football League Match Outcomes' (2020, with Gupta and Robertson). These works have collectively received 122 citations, contributing to advancements in wearable sensor data processing for activity profiling and performance modeling in Australian football and rugby union. His expertise supports predictive analytics and statistical modeling in sports science.