CDMS Research Support Fund Projects 2024 (list)
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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 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.
Email: 9430048@westernsydney.edu.au Name: Wei Xing Zheng Name of project leader : Wei Xing Zheng Activity title: Attending the 63rd IEEE Conference on Decision and Control Paper accepted or work to be done: The paper was submitted in March 2024 and a decision is expected in July 2024 Brief summary of potential outcomes (200 words maximum): The IEEE Conference on Decision and Control (CDC) is the annual flagship conference of the IEEE Control Systems Society (CSS). Since the first conference was held in New York City in 1962, the CDC is recognized as the premier scientific and engineering conference dedicated to the advancement of the theory and practice of systems and control. The CDC annually brings together an international community of researchers and practitioners in the field of systems and control to discuss the latest advancements of the discipline, shape its future directions, and promote its diffusion among the scientific community at large. Note that the CDC was ranked as a Rank A conference in the 2010 ERA Conference Ranking. The submitted paper is concerned with consensus tracking of multi-agent systems under non-ideal actuators and/or Denial-of-Service attacks. This conference travel will lead to the eventual publishing of research articles in ERA ranked journals. Moreover, attending CDC2024 will provide the good opportunity to consolidate existing research collaborations and establish new international research collaborations. More importantly, with the attendance at CDC2024, SCDMS as well as WSU will be identified internationally as being actively involved in leading edge research in the areas of control theory and applications. CDMS contribution: $5,000.00
Email: 30034490@westernsydney.edu.au Name: Omar Mubin Name of project leader : Omar Mubin Activity title: Visit of External Academic: Associate Professor Fady Alnajjar Paper accepted or work to be done: The primary objective of the visit is to collaborate with researchers at Western Sydney University (WSU), namely Asso/Prof. Omar Mubin and PhD candidate Zhao Zou, to advance the development of self-driving car technology, specifically focusing on building trust between the vehicle and the driver. The visit aims to leverage the expertise of both institutions/teams in the fields of large language models (LLMs), intelligent virtual agents (IVA), and driving simulators to explore innovative techniques for bridging the gap between the driver and the autonomous vehicle. Brief summary of potential outcomes (200 words maximum): 1. Agree on trust-building techniques: Develop a deeper understanding of the mechanisms and strategies required to build trust between drivers and self-driving cars, leveraging the capabilities of LLMs and IVA. Clarify how to contitative the trust between drivers and self-driving cars, and agree on the mechanism to measure it based on face and voice emotions detections techniques. 2. Strengthened research collaboration: Foster a strong collaborative relationship between UAEU and WSU, facilitating the exchange of knowledge, resources, and expertise in the areas of self-driving cars, LLMs, and IVA. 3. Draft Research Grant Proposal: Based on the results of this pilot study, draft a proposal to seek both internal and external grants for the expansion of the study. 4. Dissemination of research findings: Agree to present the research findings at relevant conferences and publish in reputable journals, contributing to the advancement of the field and promoting further research and development efforts. CDMS contribution: 2500$
