Academic Partnerships established to develop, optimize, and grow on-campus initiatives
Olga Tennison Autism Research Centre
The Olga Tennison Autism Research Centre (OTARC) focuses on advancing knowledge of Autism and developing strategies for supporting affected individual and families. Their collaboration with CDAC aims to undertake a variety of projects, which can add the benefits of computer science and advanced data analytics to ongoing research within OTARC. Current projects involve:
- Advancing job skill matching software. By using text analysis and machine learning, we can automatically analyse jobs which are suitable for autistic people
- Social media and online forum analysis. By analysing forum discussions in the autistic community, we can discover their sentiments and emotions towards localised issues
Next Generation Rubrics
The Next Generation Rubric project was established at La Trobe University as a collaboration between a number of academics and CDAC. This seeks to develop a tool that can provide students and teachers with information on the performance of text-based assignments. The starting point for the development of the tool was a marking rubric as these underpin many standardised marking schemes at Universities.
The rubric used for this project is a scoring guide used to evaluate the quality of students’ constructed responses. It consists of an evaluative criterion, associated quality definitions and associated scores or marks. This project utilizes:
- text analytics
- NLP techniques,
- Assignment statistics,
- Research and critical thinking words and phrases
- Referencing information.
An User Interface (UI) has been developed for use by academics and work is continuing to integrate the model into the University learning management system (LMS).
Multi-agent simulation framework for distributed generation with battery storage
Distributed generation (DG) is a sustainable alternative energy model that aims to:
- Increase energy efficiency in batteries
- Make batteries more cost efficient
- Defer the rate that users invest in newer models
We are using simulation models that study the impact of energy policies on industry trends. The simulation design follows a top-down model that conceptualizes a complex system from a variety of levels. This project aims to:
- Design and develop a multi-agent simulation framework that demonstrates smart grid features and behaviour;
- Design and model load profile, battery response and control algorithm, renewable profiles, policies and other operational constraints;
- Explore large-scale energy policy settings associated with distributed generation with battery control;
- Explore potential for publication where applicable.
- Develop a multi-agent simulation framework that captures emerging complex responses that originate from individual household behaviour
- Prof. Xingguo Yu,
- Dr. Peter Sokolowski,
- Ragini Patel from RMIT University