As the Discipline Leader (Mathematics and Statistics), I am proud to be leading learning and teaching efforts in university mathematics as it allows me to make a meaningful impact on the education and success of our students. Mathematics is a critical subject that underpins many academic and professional fields, while also shaping the way we think and solve problems.
Over the course of my career, I have had the privilege of teaching mathematics across a wide spectrum of disciplines and student cohorts. This has included guiding engineering students, where mathematics provides the critical foundation for problem solving and innovation; supporting education students as they prepare to become the next generation of secondary mathematics teachers; working with students in preparatory and bridging programs as they build the confidence and skills needed for university study; and contributing to ICT units of study, where mathematical thinking supports logic, computation, and technological development. These varied teaching experiences have not only broadened my understanding of the role mathematics plays in different academic and professional contexts, but have also reinforced my commitment to making mathematics accessible, engaging, and relevant for all learners.
As a leader in this area, I am committed to fostering a supportive and inclusive learning environment, where all students have the opportunity to succeed. I support student learning by providing clear and engaging instruction, developing innovative teaching strategies, and actively working to address the diverse needs and learning styles of our students. I also collaborate with other educators and academic leaders to ensure our curriculum and resources align with the latest research and best practices in the field. I am proud to be leading the charge in delivering high-quality mathematics education and in fostering a culture of continuous improvement and innovation in our teaching and learning practices.
I received my PhD in Engineering (Information Systems) from the Royal Melbourne Institute of Technology (RMIT) University in 2009, after beginning my academic career at Central Queensland University (CQU) in 2001. Over more than two decades at CQU, I have contributed to teaching, leadership, and research in mathematics, statistics, and information systems. I am currently the Discipline Leader for Mathematics and Statistics and have previously served as the STEM Leader in the CQU School of Engineering and Technology.
My contributions to teaching have been recognised through several awards, including being named CQU Educator of the Year in 2016, as well as receiving multiple CQU Student Voice Commendation Awards in Foundation Mathematics and Applied Calculus since 2015. These honours reflect my commitment to delivering high-quality, engaging, and student-focused learning experiences.
Across 24 years of teaching, my experience has spanned mathematics, statistics, and information technology at the postgraduate, undergraduate, and pre-university levels. I have taught into a wide variety of programs for engineering, education, business, and ICT students, offering subjects that range from Foundation and Bridging Mathematics to more advanced units such as Applied Mathematics, Applied Calculus and Statistics. My teaching has also extended into ICT, including Object-Oriented Programming, Software Fundamentals, Networks and Data Communications, Database Use and Design, Database Application Development, Dynamic Web Interfaces, and Professional Issues in Computing. This breadth of experience reflects not only the interdisciplinary nature of my expertise but also my commitment to equipping students with both the mathematical and technological skills they need to succeed in their chosen fields.
My research interests lie at the intersection of artificial intelligence, information systems engineering, industrial decision support systems, industrial process modelling, and supervisory control systems in expert environments. I have published more than 35 refereed journal articles, conference papers, technical reports, and government milestone reports, alongside the development of several prototyped intelligent systems in my disciplinary areas.
As Chief Investigator, I have secured competitive research grants exceeding $700,000 in collaboration with industry partners. Beyond my university role, I contribute to the global research community as an editorial board member for the International Academy, Research and Industry Association, and as a reviewer for the International Journal on Advances in Intelligent Systems and the International Journal on Advances in Software. I have also served as a technical program committee member for eight major international conferences and acted as a special session track organiser for the 37th Annual Conference of the IEEE Industrial Electronics Society.
Education
Bachelor of Information Technology Honours (First Class), Central Queensland University
Honours degree research led to the development of a fuzzy neural network for intelligent adaptive learning control of an inverted pendulum system. The research focused on examining outcomes for improving the learning capabilities of a fuzzy neural network system. The research proposed a modified adaptive rule importance learning algorithm based upon a fuzzy hierarchical error approach. A modified network structure that is more intuitive, powerful and melds directly into the fuzzy neural network system was developed. This system allows for fast online adaptive control while simultaneously performing system learning with the considerable feature of no offline training required. Furthermore, genetic algorithm optimisation of fuzzy rule neural network rule base and learning parameters was also undertaken.
Dodd, R. and Broadfoot, R., (2015). Milestone Report 7: Implement supervisory/advisory control of pan and fugal stations, Australian Government Sugar Research and Development Corporation, Project Number QUT038.
Dodd, R. and Broadfoot, R., (2014). Milestone Report 7: Implement supervisory/advisory control of pan and fugal stations, Australian Government Sugar Research and Development Corporation, Project Number QUT038.
Dodd, R. and Broadfoot, R., (2013). Milestone Report 6: Implement supervisory/advisory control of pan and fugal stations, Australian Government Sugar Research and Development Corporation, Project Number QUT038.
Dodd, R. and Broadfoot, R., (2012). Milestone Report 5: Implement supervisory/advisory control of pan and fugal stations, Australian Government Sugar Research and Development Corporation, Project Number QUT038.
Dodd, R. and Broadfoot, R., (2012). Milestone Report 4: Implement supervisory/advisory control of pan and fugal stations, Australian Government Sugar Research and Development Corporation, Project Number QUT038.
Dodd, R. (2011). Pan Stage Sucrose and Impurity Loadings: Macknade Sugar Mill 2006-2009 Seasons, internal report, CQUniversity.
Dodd, R. and Broadfoot, R., (2011). Milestone Report 3: Implement supervisory/advisory control of pan and fugal stations, Australian Government Sugar Research and Development Corporation, Project Number QUT038.
Dodd, R. and Broadfoot, R., (2010). Milestone Report 2: Implement supervisory/advisory control of pan and fugal stations, Australian Government Sugar Research and Development Corporation, Project Number QUT038.
I am currently accredited for supervision in the following:
Curriculum and Pedagogy - Mathematics and Numeracy Curriculum and Pedagogy
Artificial Intelligence and Image Processing - Expert Systems
Artificial Intelligence and Image Processing - Neural, Evolutionary and Fuzzy Computation
Information Systems - Decision Support and Group Support Systems