Yvette is an applied scientist/data scientist dedicated to (i) identifying strategies that will deliver better student learning outcomes in STEM education, and, (ii) helping agricultural industries discover environmentally friendly ways they can increase productivity in formidable climates. 

Yvette completed her PhD at JCU in 1998 where she developed new statistical methods to visualise and unlock important information hidden in complex, chemical, near-infrared (NIR) signatures of minerals, seagrass, sugarcane, wheat and pharmaceutical products. After completing her PhD, Yvette commenced a four year term with the CSIRO as a climate impact scientist.  Dr Everingham now holds a position as an Associate Professor in the Mathematics discipline at JCU. Previous roles include the Associate Dean of Graduate Research Studies (JCU) and Statistical Consultant for the Graduate Research School (JCU).

 

 

Teaching

• MA1401: Statistics and Data Analysis 1 (Level 1; TSV)
• MA2401: Statistics and Data Analysis (Level 2; TSV)
• MA2405: Statistics and Data Analysis 2 (Level 2; TSV)
• MA3405: Statistical Data Mining for Big Data (Level 3; TSV)
• SC1102: Modelling Natural Systems (Level 1; TSV)

Awards

• 2014 - Office for Learning and Teaching Citation for outstanding contributions to student learning.
• 2014 - JCU Citation for outstanding contributions to student learning.
• 2008 - Sugar Research and Development Award for outstanding research contributions to the Australian sugar industry.

Memberships

• 2010 - Associate Editor: Agonomy for Sustainable Development

Other

• 2015 - Expert Team Leader, World Meteorological Organisation (Weather and Climate Extremes and Agricultural Industry Needs)
• 2014 - Delivered the Last Lecture for James Cook University
• 2011 - Invited speaker at the 12th ACP (African-Caribbean-Pacific Island) Ministerial Conference on Sugar

These are the most recent publications associated with this author. To see a detailed profile of all publications stored at JCU, visit ResearchOnline@JCU. Hover over Altmetrics badges to see social impact.

Journal Articles

• Everingham Y, Gyuris E and Connolly S (in press) Enhancing student engagement to positively impact mathematics anxiety, confidence and achievement for interdisciplinary science subjects. International Journal of Mathematical Education in Science and Technology, pp. 1-3
• Sexton J, Everingham Y and Inman-Bamber G (in press) A global sensitivity analysis of cultivar trait parameters in a sugarcane growth model for contrasting production environments in Queensland, Australia. European Journal of Agronomy,
• Everingham Y, Sexton J, Skocaj D and Inman-Bamber G (2016) Accurate prediction of sugarcane yield using a random forest algorithm. Agronomy for Sustainable Development, 36 (27). pp. 1-9
• Schepen A, Wang Q and Everingham Y (2016) Calibration, bridging and merging to improve GCM seasonal temperature forecasts in Australia. Monthly Weather Review, 144. pp. 2421-2441
• Sexton J, Everingham Y and Inman-Bamber G (2016) A theoretical and real world evaluation of two Bayesian techniques for the calibration of variety parameters in a sugarcane crop model. Environmental Modelling & Software, 83. pp. 126-142
• Stokes C, Inman-Bamber N, Everingham Y and Sexton J (2016) Measuring and modelling CO2 effects on sugarcane. Environmental Modelling & Software, 78. pp. 68-78
• Everingham Y, Inman-Bamber G, Sexton J and Stokes C (2015) A dual ensemble agroclimate modelling procedure to assess climate change impacts on sugarcane production in Australia. Agricultural Sciences, 6. pp. 870-888
• Mustika P, Birtles A, Everingham Y and Marsh H (2015) Evaluating the potential disturbance from dolphin watching in Lovina, north Bali, Indonesia. Marine Mammal Science, 31 (2). pp. 808-817

Conference Papers

• Sexton J, Everingham Y, Skocaj D, Biggs J, Thorburn P and Schroeder B (2017) Identification of climatological sub-regions within the Tully mill area. Proceedings of the 39th Annual Conference of the Australian Society of Sugar Cane Technologists. In: ASSCT 2017: 39th Annual Conference of the Australian Society of Sugar Cane Technologists, 3-5 May 2017, Cairns, QLD, Australia
• Sexton J, Everingham Y and Donald D (2017) A comparison of data mining algorithms for improving NIR models of cane quality measures. Proceedings of the 39th Annual Conference of the Australian Society of Sugar Cane Technologists. In: ASSCT 2017: 39th Annual Conference of the Australian Society of Sugar Cane Technologists, 3-5 May 2017, Cairns, QLD, Australia
• Everingham Y, Sexton J and Robson A (2015) A statistical approach for identifying important climatic influences on sugarcane yields. Proceedings of the Australian Society of Sugar Cane Technologists. In: ASSCT 2015: 37th Annual Conference of the Australian Society of Sugar Cane Technologists, 28-30 April 2015, Bundaberg, QLD, Australia
• Gyuris E and Everingham Y (2015) Do lower entry-level students benefit most from engagement-centered teaching in a compulsory first year mathematics subject? Proceedings of STARS: Students Transitions Achievement Retention & Success 2015. 1 -4 July 2015, Melbourne, VIC, Australia

More

ResearchOnline@JCU stores 78+ research outputs authored by A/Prof Yvette Everingham from 1996 onwards.

Current and recent Research Funding to JCU is shown by funding source and project.

Advisory Accreditation: I can be on your Advisory Panel as a Primary or Secondary Advisor.

These Higher Degree Research projects are either current or by students who have completed their studies within the past 5 years at JCU. Linked titles show theses available within ResearchOnline@JCU.

Current

• Benthic Light as Ecologically-Validated GBR-Wide Indicator for Water Quality: Algorithm Development (PhD , Secondary Advisor)
• Harnessing the Forecasting Power of Seasonal GCMs for Water and Agricultural Management (PhD , Primary Advisor)
• Data Mining Algorithms for Optimising Analysis of Spectroscopic Data from on-line NIR Mill Systems: Improving System Calibrations for Quality Measures. (PhD , Primary Advisor)
• Searching for Pulsating Stars in the Gap Between the SPB and d Scuti Domains Through Machine Learning and Data Mining Techniques (PhD , Secondary Advisor)

Completed

• Evaluation of Different Management Approaches to Reduce the Bycatch of Indo-Pacific Humpback Dolphins (Sousa chinensis) and Australian Snubfin Dolphins (Orcaella heinsohni) in Queensland, Australia. (2012, PhD , Associate Advisor)
• Wavelet basis selection for spectroscopic data analysis (2012, PhD , Primary Advisor)
• Optical detection and quantification of Trichodesmium spp. within the Great Barrier Reef (2012, PhD , Secondary Advisor)
• Bayesian statistical calibration of variety parameters in a sugarcane crop model (2015, Masters , Primary Advisor)
• Seasonal climate forecasting for sugar cane: an economic investigation of harvest management (2012, Masters , Secondary Advisor)
• Improving sugarcane nitrogen management in the Wet Tropics using seasonal climate forecasting (2016, PhD , Primary Advisor)

The map shows research collaborations by institution from the past 7 years.
Note: Map points are indicative of the countries or states that institutions are associated with.