CDMS Research Support Fund Projects 2024 (list)
CDMS Research Fund Projects 2024
Email: M9700873@westernsydney.edu.au
Name of project leader : Athula Ginige
Project title: Demand Planning to better match supply and demand in Agrifood Ecosystems
Team members: Gizem Intepe, Kasuni Vidanagamachchi
Brief summary of your project (200 words maximum): The project aims to predict demand within an agrifood ecosystem, enabling growers to make informed crop selection decisions and achieve stable prices through better supply-demand matching. This study will be done in collaboration with Box Divvy, an agrifood supply chain connecting local communities with growers and food producers to provide market-fresh, locally grown, seasonal produce. The project will have two distinct but interconnected streams of activities. The first stream will involve extensive engagement with growers, consumers, retailers, and other providers in NSW. This interaction will help us identify the key information needed for optimal decision-making in agrifood operations. The second stream will focus on the analysis of historical data provided by our industry partner, Box Divvy. This data will be used to develop a demand forecasting model, which will be further enhanced with real-time data and integrated into a digital technology platform, a product of the first stream's activities. The outcome will be a system that predicts demand, allowing growers to plan crop selection and cultivation quantities better. This will minimise waste, stabilise prices for farmers through effective supply-demand matching, and enable produce to be picked to order at harvesting time, ensuring enhanced freshness of delivered produce. Partner name/partner contribution (e.g. AusScope/$10000): Anton van den Berg - Co-founder, Box Divvy/$10,000
Paper accepted or work to be done: NA
Brief summary of potential outcomes (200 words maximum): NA
CDMS contribution: $10000
Email: 30061526@westernsydney.edu.au
Name: Azeef Parayil Ajmal
Name of project leader : Azeef Muhammed Parayil Ajmal
Project title: Conferences (Joint meeting of Australian, New Zealand and American Math Societies + Annual AAC meeting )
Brief summary of your project (200 words maximum): NA Partner name/partner contribution (e.g. AusScope/$10000): NA
Paper accepted or work to be done: Attending the conferences and giving contributed talks Brief summary of potential outcomes (200 words maximum): I plan to attend both the conferences and present my research findings in both the conferences as contributed talks. This will help in disseminating my research and also lead path for further collaborations. CDMS contribution: 4750 AUD
Email: 30045908@westernsydney.edu.au
Name: Rodrigo Neves Calheiros
Name of project leader : Rodrigo Neves Calheiros
Project title: Leveraging Edge Computing for Clustered Federated Learning
Team members: Bahman Javadi, Jim Basilakis
Brief summary of your project (200 words maximum): The aim of this project is to explore approaches to increase the reliability of edge platforms executing federated learning tasks. The project will evaluate the effect of transient failure of clients in the systems (i.e., when the client becomes unavailable and eventually returns to the system with outdated models), and approaches to mitigate these effects.
Partner name/partner contribution (e.g. AusScope/$10000): NA
Brief summary of potential outcomes (200 words maximum): NA
CDMS contribution: $9,966
Email: 30057355@westernsydney.edu.au
Name: Rosalind Wang
Name of project leader : Rosalind Wang
Project title: Exploring the Potential of EHRs in Understanding Prodromal Symptoms
Team members: Dr Seyhan Yazar from the Garvan Institute of Medical Research; Prof Paul Middleton from the Ingham Institute of Applied Medical Research
Brief summary of your project (200 words maximum): Multiple Sclerosis (MS) is an autoimmune disease affecting over 33,000 Australians. It is the most common immune mediated disorder affecting the central nervous system. There is no known single cause of MS, but many genetic and environmental factors have been shown to contribute to its development. In this project we will focus on the prodromal phase of the disease. The prodromal phase is a period of possible years leading up to MS manifestation, characterised by psychiatric issues, cognitive impairment, and increased use of healthcare. Correctly identifying the prodromal phase can help with timely initiation of MS targeted treatment. We will be utilising CEDRIC, a database of over 90 million electronic health records (EHR) from South Western Sydney Local Health District, held at the Ingham Institute to identify MS patients and understand the prodromal phase of MS. Partner name/partner contribution (e.g. AusScope/$10000): Garvan Institute of Medical Research; Ingham Institute of Applied Medical Research
Brief summary of potential outcomes (200 words maximum): NA
CDMS contribution: $10000
Email: 30045063@westernsydney.edu.au
Name: Oliver Obst
Name of project leader : Oliver Obst
Project title: RoboCup participation and symposium
Paper accepted or work to be done: Participating in RoboCup competition, meeting with Uni Freiburg collaborators
Brief summary of potential outcomes (200 words maximum): The main purpose of the trip is to compete in the RoboCup small size league, together with a group of students. The goal is to set our students up for a regular participation in this scientific competition. I am also expecting to reconnect with a number of colleagues in robotics and AI, and learn about the RoboCup @ home competition that is relevant to our assisted living project. With U Freiburg, we are investigating joint research projects in the AI/robotics area.
CDMS contribution: 5000
Email: M8942591@westernsydney.edu.au
Name: Liwan Liyanage
Name of project leader : Liwan Liyanage
Project title: AI-Tracker to track animals of the road realtime to mitigate roadkill
Team members: Yasiru Kirindirachchi, Omar Mubin, Steen TfNSW, Ricky Spencer SoSc
Brief summary of your project (200 words maximum): Project Discription: This multidisciplinary research project aims to mitigate roadkill, protect endangered species, and improve road safety, thereby reducing accidents and contributing to the economy by lowering insurance claims and healthcare costs. The study introduces a reliable, efficient, and precise method for conducting ecological surveys of animals on and near roads across NSW, with potential national extension to reduce roadkill. Some Statistics: Roadkill, responsible for more than 5% of fatal crashes in Australia, poses the second biggest threat to Tasmanian devils' extinction and results in approximately 10 million animals being hit on Australian roads each year; furthermore, it incurs an annual cost of 19 million USD in Queensland alone. Approach Our approach leverages improved computer vision techniques to detect small objects in fast-moving videos, extending to real-time detection. As a case study, the research focuses on turtles, an endangered species prone to vehicle collisions in Australia, and will extend to other animals, including birds. Data is provided by TfNSW through GoPro cameras installed in vehicles during daily activities, making it cost-effective. A proof of concept has been completed, producing an AI-Tracker with over 90% accuracy and 80% confidence. We are now at the deployment stage, testing the AI-Tracker's effectiveness and comparing communication options for drivers to mitigate roadkill.
Partner name/partner contribution (e.g. AusScope/$10000): TfNSW / Provide videos (in kind $20,000 already spend on the project on Gopro cameras and conducting the survey.)
Brief summary of potential outcomes (200 words maximum): NA
CDMS contribution: $3190
Email: 30054794@westernsydney.edu.au
Name: Nicholas Sheppard
Name of project leader : Nicholas Sheppard
Project title: Oh the Places We Will Go: SCDMS Student Employment Aspirations
Team members: Nicholas Sheppard, Rowena Butland
Brief summary of your project (200 words maximum): A recent CSIRO study found that employment in digital industries is predominantly in the east and north Sydney, meaning that students and graduates of the School of Computer, Data and Mathematical Sciences based in Western Sydney may face a choice of commuting long distances to a place of employment, moving out of the region, or working locally in a field not related to their studies. This project will explore SCDMS students’ motivations, anticipations and expectations for study and work in fields that may take them ‘away’ from their home communities through a survey and focus groups.
Partner name/partner contribution (e.g. AusScope/$10000): School of Social Sciences/up to $2000 transcription credits.
Brief summary of potential outcomes (200 words maximum): NA
CDMS contribution: $5000
Email: 2002345@westernsydney.edu.au
Name: Dongmo Zhang
Name of project leader : Dongmo Zhang
Project title: Automated Negotiation Among Autonomous Vehicles
Team members: Dongmo Zhang and Nabil Giweli
Brief summary of your project (200 words maximum): Autonomous driving holds the promise of safer, more convenient, efficient, and environmentally friendly transportation, thereby enhancing the liveability and sustainability of our communities. However, integrating autonomous vehicles into our roads introduces new challenges. A significant issue is how an autonomous vehicle can independently adapt to dynamic road regulations and traffic situations for which it has not been specifically trained. This project aims to investigate the principles and mechanisms of automated negotiation among autonomous vehicles. We will achieve this goal through four interconnected objectives: 1. Develop a Formal Language: Create a formal language to express road traffic and traffic management protocols. 2. Mechanisms for Negotiation: Develop mechanisms enabling autonomous vehicles to negotiate travel agreements. 3. V2I Negotiation Testing: Test and evaluate these mechanisms for vehicle-to-infrastructure (V2I) negotiation. 4. V2V Negotiation Demonstration: Demonstrate vehicle-to-vehicle (V2V) negotiation using physical robots. Upon completing this project, we expect to deliver a solution that enables autonomous vehicles to negotiate travel agreements among themselves and possibly through roadside infrastructure for shared road usage.
Partner name/partner contribution (e.g. AusScope/$10000): Dr Dave de Jonge at IIIA-CSIC, Prof Michael Thielscher at University of New South Wales and Prof Laurent Perrussuel atUniversity of Toulouse
Brief summary of potential outcomes (200 words maximum): NA
CDMS contribution: Two research assistants, one PhD student and two accademic staff members with cash contribution $10000.
