{"links":{"self":"http://dataportal.arc.gov.au/NCGP/API/grants/DE260101146"},"data":{"type":"grant-details","id":"DE260101146","attributes":{"code":"DE260101146","administering-organisation":"University of Technology Sydney","announcement-administering-organisation":"University of Technology Sydney","scheme-name":"Discovery Early Career Researcher Award","grant-status":"Active","funding-commencement-year":2026,"years-funded":3,"project-start-date":"2026-11-03","anticipated-end-date":"2029-11-02","grant-summary":"Mobility-Aware Digital Twin-Empowered Services in Edge Computing. This project aims to develop a suite of innovative solutions to digital twin-empowered Internet of Things (IoT) services in Mobile Edge Computing (MEC) by advanced algorithm design, tackling the mobility of both users and physical objects of digital twins. Expected outcomes include novel frameworks, algorithms and prediction mechanisms for digital twin-empowered services by enhancing service accuracy and shortening service latency. The success of this project will advance knowledge in digital twin technology and its integration with IoT, MEC and artificial intelligence, fostering national economic growth and environmental sustainability, improving public services, and maintaining Australia's leadership in the global digital transformation.","funding-current":506123.00,"funding-at-announcement":502278,"investigators-current":[{"title":"Dr","firstName":"Jing","familyName":"Li","roleName":"Discovery Early Career Researcher Award","roleCode":"DECRA","isFellowship":true,"orcidIdentifier":"0000-0002-7027-5574 "}],"investigators-at-announcement":[{"title":"Dr","firstName":"Jing","familyName":"Li","roleName":"Discovery Early Career Researcher Award","roleCode":"DECRA","isFellowship":true,"orcidIdentifier":"0000-0002-7027-5574 "}],"organisations-current":[{"organisationName":"University of Technology Sydney","roleName":"Administering Organisation","state":"NSW"}],"organisations-at-announcement":[{"organisationName":"University of Technology Sydney","roleName":"Administering Organisation","state":"NSW"}],"field-of-research":[{"isPrimary":true,"code":"4606","name":"Distributed Computing and Systems Software","type":"FOR20"},{"isPrimary":false,"code":"460608","name":"Mobile Computing","type":"FOR20"},{"isPrimary":false,"code":"460612","name":"Service Oriented Computing","type":"FOR20"}],"socio-economic-objective":[{"code":"220103","name":"Mobile Technologies and Communications","type":"SEO20"},{"code":"220105","name":"Network Systems and Services","type":"SEO20"}],"international-collaboration":["Hong Kong (SAR of China)","United States of America"],"lief-register":[],"achievement-summary":null,"national-interest-test-statement":"This project focuses on enhancing Internet of Things (IoT) devices to share information quickly and efficiently in edge environments, addressing the explosive need for such technologies in Australia and worldwide. By leveraging the virtual replicas (digital twins) of physical objects, this research aims to transform how and where collected data is being reliably stored, effectively shared and rapidly utilized for behavior emulation, prediction, optimization and decision-making. This helps Australia maintain its leadership in the global digital economy by optimising services like traffic management and industrial monitoring, as articulated in the “Digital Economy Strategy”.  Economically, businesses can save time and money by making better decisions. Socially, it can enhance the quality of public services like smart healthcare and transportation. Environmentally, it promotes sustainability by monitoring resources more effectively, and commercially, it supports the growth of innovative businesses.\n\nTo promote the research beyond academia, businesses, the public sector and the general public would be aware of its applications and benefits through media, trade fairs and forums. The project outcomes would be of interest to industry partners by offering digital solutions for Smart Cities, Manufacturing and Telecommunications. This would see a rapid adoption of IoT and digital twin technologies in real-world settings and lead to lower cost, more reliability and improved services."}}}