Computational Science and Mathematics Group
We are comprised of two major research centres within the Faculty of Science and Technology.
CIAO researchers appointed to prestigious international committee
CIAO would like to congratulate researchers Grant Meredith and Evan Dekker who have been appointed to the International Virtual Reality Steering Group for people who stutter. The steering group was announced at the 2018 British Stammering Association Conference in Cardiff on the 2 September 2018.
Grant and Evan join a range of key people in improving the outcomes for people who stutter through the use of technology.
Members of the International Steering Group are:
- Rachel Everad – Reg MRCSLT, City Lit, London, UK.
- Grant Meredith – Research Program Leader, Federation University Australia.
- Mitchell Trichon – CCC-SLP, Philadelphia, USA.
- Peter Howell – Professor of Experimental Psychology, University of London, UK.
- Annie Bradberry – Chair of ISA and NSA Executive Director.
- J. Scott Yaruss – Professor of Communication Disorders, Michigan State University, USA.
- Shelley Brundage – Professor of Speech, Language & Hearing Science, George Washington University, USA.
- Caryn Herring – Ph.D. candidate, Michigan State University, USA.
- Evan Dekker – Technical Officer & Ph.D. candidate, Federation University Australia.
- Jane Powell – CEO British Stammering Association, London, UK.
Grant and Evan were invited based upon their work associated with the CIAO-based Technologies for Empowering People for Participation in Society (TEPPS) Programme and individual studies in emerging technologies.
Congratulations Grant and Evan!
MCCAIR researcher awarded international grant
Prof Kai Ming Ting, a researcher in the Centre for Computing, Communications and Artificial Intelligence Research (MCCAIR), in the School of Science, Engineering and Information Technology at the Gippsland Campus has been awarded an $80k (US) grant from the Asian Office of Aerospace Research and Development (AOARD), US Air Force Office of Scientific Research to undertake a two year research project titled “Reinvigorate kernel-based algorithms with Isolation Kernel”.
The research will focus on improving the need to manually design a suitable kernel for the task at hand has been the bottleneck of kernel-based algorithms for about two decades. This project aims to create a new data dependent kernel which will be a breakthrough in easing the bottleneck. The isolation mechanism which produces the proposed Isolation Kernel will automatically adapt to the underlying data distribution directly from a given dataset. It aims to simply replace the data independent kernel in Support Vector Machines (SVM), leaving the rest of the SVM procedure unchanged. It can be applied to wider applications and has significantly lower time and space complexities than existing methods such as distance metric learning, multiple kernel learning, conformal transformation and Random Forest kernel. This is because these existing methods require explicit learning (some require changes in the SVM procedure) and most need class information; but the proposed method needs neither. This project will verify the effectiveness of the proposed kernel using SVM in classification and clustering tasks.
Congratulations Kai Ming!