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Ms Elizabeth McCarthy

Ms Elizabeth McCarthy
Name Elizabeth McCarthy
Position Casual Employment
Section School of Mechanical and Electrical Engineering
Office B145
Location Toowoomba Campus
Email
Qualifications BEng USQ

Research interests
technology in mathematics education, data science, machine learning, robotics

Professional memberships
Postgraduate and Early Career Researcher Group (PGECR)

Currently teaching courses/programs
STA2300 Data Analysis
ENM1500 Introduction to Engineering Mathematics
ENM1600 Engineering Mathematics
ENM2600 Advanced Engineering Mathematics
ENG1002 Introduction to Engineering and Spatial Science Applications
ENG1100 Engineering Design and Drafting
ENG2002 Technology, Sustainability and Society
ENG8104 Asset Management in an Engineering Environment
ENG8103 Managment of Techological Risk
EDX3280 Teaching the National Curriculum in Mathematics
EDX1280 Foundations of Numeracy

Teaching experience(Tertiary)
9 Years

Teaching experience(Other)
9 Years

Research most recent
McCarthy, E., Deo, R.C., Li, Y. & Maraseni, T. (2017). Re-Imagining Standard Timescales used in Machine Learning Approaches to Forecasting Precipitation Events for Queensland's Grazing. In Proceedings MODSIM2017: 22nd International Conference.

McCarthy, E. (2017). Knowing when to target students with timely academic learning support: Not a minefield with data mining. In H. Partridge (Ed.), Me, Us, IT! Proceedings ASCILITE2017: 34th International Conference on Innovation, Practice and Research in the Use of Educational Technologies in Tertiary Education.

McCarthy, E. & Pather, S. (2003), Determination of Tissue Thickness From
Medical Images to Aid the Effective Destruction of Cancer Cells Using HIFU
Proceedings from the Annual Queensland Health, Medical and Science Meeting: Brisbane, Australia.

McCarthy, E. & Pather, S. (2004), Computer-based Method of Determining the Path of a HIFU Beam Through Tissue Layers from Medical Images to Improve Cancer Treatment, Proceedings from the Mechatronics and Machine Vision in Practice Conference: Macau, Hong Kong.

McCarthy, E. & Wen, P. (2005), Preliminary Investigation of a Digital Human
Head, Proceedings from the Complex Medical Engineering Conference: Takamatsu, Japan.



Publications in ePrints

McCarthy, Elizabeth and Deo, Ravinesh C.ORCID: https://orcid.org/0000-0002-2290-6749 and Li, Yan and Maraseni, Tek (2018) Selection of representative feature training sets with self-organized maps for optimized time series modeling and prediction: application to forecasting daily drought conditions with ARIMA and neural network models. In: Handbook of research on predictive modeling and optimization methods in science and engineering. Advances in Computational Intelligence and Robotics (ACIR) Book Series. IGI Publishing (IGI Global), Hershey, United States, pp. 446-464. ISBN 9781522547662

McCarthy, Elizabeth (2017) Knowing when to target students with timely academic learning support: not a minefield with data mining. In: 34th International Conference on Innovation, Practice and Research in the Use of Educational Technologies in Tertiary Education: Me, Us, IT! (ASCILITE 2017), 4-6 Dec 2017, Toowoomba, Australia.

McCarthy, E. and Deo, R. C.ORCID: https://orcid.org/0000-0002-2290-6749 and Li, Y. and Maraseni, T. (2017) Re-imagining standard timescales in forecasting precipitation events for Queensland’s grazing enterprises. In: 22nd International Congress on Modelling and Simulation (MODSIM 2017), 3-8 Dec 2017, Hobart, Tasmania, Australia.

McCarthy, E. and Pather, S. (2008) Computer-based method of determining the path of a HIFU beam through tissue layers from medical images to improve cancer treatment. In: Mechatronics and machine vision in practice. Springer-Verlag, Berlin, Germany, pp. 289-302. ISBN 978-354074026-1

McCarthy, Elizabeth and Wen, Peng (2005) Preliminary investigation of the digital human head. In: 1st International Conference on Complex Medical Engineering (CME 2005), 15-18 May 2005, Takamatsu, Japan.