Distributed Ledger Technology is an emerging technology, which provides the way to store and manage information in a distributed fashion. It enables the creation of decentralized crypto-currencies, smart contracts, eGovernance, supply chain management, eVoting etc over a network of computer systems without any human intervention. Unprecedented reliability and security over other cryptographic schemes has expanded the application domains of blockchain including financial services, real estate, stock exchange, identity management, supply chain, and Internet of Things.
The goal of this symposium is to provide a forum for researchers, business leaders and policy makers in this area to carefully analyse current systems or propose new solutions creating a scientific background for a solid development of innovative Distributed Ledger Technology (DLT) applications.
Joseph Liu, Professor, Monash University, Australia
Abstract: Blockchain technology is redefining the foundations of trust and transparency across diverse sectors, including agriculture and education. In this talk, I will explore how blockchain solutions are addressing critical challenges in these fields, fostering integrity, efficiency, and accountability. Drawing from key Australian Government initiatives, this talk will delve into three transformative projects: (1) Agriculture Supply Chain: Leveraging blockchain to enhance traceability and authenticity in agricultural supply chains, ensuring product integrity from farm to table. (2) Greenhouse Gas Monitoring: Employing blockchain to track and verify agricultural greenhouse gas emissions, supporting sustainability and compliance with environmental standards.(3) Education Credentials: Implementing blockchain to authenticate academic records and prevent credential fraud, safeguarding the value of education and empowering institutions globally. By sharing insights from real-world deployments, this talk aims to inspire further innovation and collaboration, showcasing blockchain’s pivotal role in shaping trustworthy digital ecosystems for the future.
Bio: Joseph Liu is a Full Professor in the Faculty of Information Technology, Monash University in Melbourne, Australia. He got his PhD from the Chinese University of Hong Kong in 2004. His research areas include cybersecurity, blockchain and applied cryptography. He has received more than 16000 citations, and his H-index is 72, with more than 200 publications in top venues such as CRYPTO, ACM CCS, IEEE S&P, NDSS. He has received more than US$10M funding, and he is currently the Director of the Monash Blockchain Technology Centre. He has been given the prestigious ICT Researcher of the Year 2018 Award by the Australian Computer Society (ACS) and has won the IEEE Technical Achievement Award in 2021 given by the Technology and Engineering Management Society for his achievement in the blockchain and cybersecurity domain. He has several patents and international standards from his research contributions to be adopted by the industry.
Dr. Tahiry Rabehaja, Principal Software Engineer, Risk Frontiers, Australia
Abstract: This presentation explores how blockchain technology, combined with formalised trust systems, can address real-world challenges, illustrated by an automated parametric insurance product design. The core issue lies in the reliance on noisy, incomplete, and potentially adversarial third-party data to trigger transactions, while participants expect accurate payouts, verifiable evidence trails, and accountability. While blockchain platforms offer foundational capabilities, native currency, smart contracts, append-only ledgers, and automated execution via oracles, they cannot inherently verify the validity or trustworthiness of external inputs. In parametric insurance, where such data dependency is unavoidable, coupling blockchain with a trust system is crucial. By binding oracles to “trust providers”, the solution mitigates third-party data risk and supports multiple sources of truth, stabilising event indices and payouts while retaining blockchain’s core benefits. Though demonstrated in a parametric insurance case study, this framework can be applied to other domains that benefit from trust-bound oracles, on-chain agreements, settlements, and auditable evidence
Bio: DR. Tahiry Rabehaja is the Principal Software Engineer at Risk Frontiers, an Australian company delivering quantitative natural catastrophe risk modelling for insurers, reinsurers, network service providers, emergency services, government agencies, and more. With a background in pure mathematics, he earned a joint PhD in Computer Science from Macquarie University (Australia) and The University of Sheffield (United Kingdom) in 2014. He previously worked as a researcher in information security at Macquarie University, focusing on theoretical computer science, quantitative information flow, blockchain applications, and trust systems, with results published in peer-reviewed journals and conferences. Since joining Risk Frontiers, he has led the design, implementation, and maintenance of the company’s software solutions, overseeing multiple high-profile product development initiatives. Alongside his engineering role, he remains active in research, exploring applications of blockchain to address real-world challenges, including those in the insurance industry.
Early Bird (until 10 Oct) | General (after 10 Oct) | |
---|---|---|
Student | 200 AUD | 220 AUD |
Attendee | 250 AUD | 300 AUD |
Author | 320 AUD | 370 AUD |
SDLT-2025 solicits research contributions in all areas pertinent to DLT. In particular, the symposium targets contributions in (but not limited to):
Paper submission:
5 August 2025 14 August 2025 (AoE)
Notification of acceptance: 15 September 2025
Camera Ready Submissions: 30 September 2025
Event: 20 - 21 November 2025
Researchers and industry practitioners are invited to submit proposals via this LINK.
Authors are advised to prepare their manuscripts in line with the Springer conference format guidelines available here. Please note: Due to the double-blind review process, authors should not include their names or affiliations in the paper.
For the Academic Track submit a single column paper within 15 pages excluding references and appendix.
For the Industry Track, submit a single-column full paper of up to 12 pages or a short paper of up to 6 pages.
For the Industry Talk, submit an abstract and a brief outline of the talk (this will not be published).
Melbourne, the capital of Victoria, is celebrated for its dynamic arts scene, cosmopolitan lifestyle, and ever-evolving food culture. Known for its eclectic laneways, world-class coffee, and diverse festivals, the city thrives on creativity and innovation. With its blend of historic charm and modern flair, Melbourne offers everything from vibrant street art and live music to peaceful gardens and scenic coastal drives, catering to all kinds of explorers.
The 9th SDLT will be held at Deakin University, Burwood Campus.
Travel Directions (from Melbourne CBD)
Trina Myers, Deakin University, Australia
Vallipuram Muthukkumarasamy, Griffith University, Australia
Salil Kanhere, University of New South Wales, Australia
Shantanu Pal, Deakin University, Australia
Kamanashis Biswas, Australian Catholic University, Australia
Raja Jurdak, Queensland Univeristy of Technology, Australia
Robin Doss, Deakin University, Australia
Helen Paik, University of New South Wales, Australia
Kewen Liao, Deakin University, Australia
Mohammad Jabed Morshed Chowdhury, La Trobe University, Australia
Shiping Chen, CSIRO (Data61), Australia
Zhe Hou, Griffith University, Australia
Babu Pillai, Southern Cross University, Australia
Samantha Tharani Jeyakumar, Griffith University, Australia
Abigail Koay, University of the Sunshine Coast, Australia
Anh Dinh, Deakin University, Australia
Babu Pillai, Southern Cross University, Australia
David Hyland-Wood, Griffith Queensland, Australia
David Pearce, ConsenSys, New Zealand
Dileepa Fernando, Nanyang Technological University, Singapore
Dorottya Zelenyanszki, Griffith University, Australia
Ed Young, Crystal Delta, Australia
Ermyas Abebe, ConsenSys, Australia
Guangdong Bai, The University of Queensland, Australia
Gowri Ramachandran, Queensland University of Technology, Australia
Helen Paik, University of New South Wales, Australia
Jiangshan Yu, University of Sydney, Australia
Jubilant Job, Southern Cross University, Australia
Jubilant Kizhakkethottam, Saintgits College of Engineering, India
Joanne Fuller, ConsenSys, Australia
Kamanashis Biswas, Australian Catholic University, Australia
Katrina Donaghy, Civic Ledger, Australia
Kulani Mahadewa, National University of Singapore, Singapore
Marius Portmann, The University of Queensland, Australia
Mark Utting, The University of Queensland, Australia
Md Sadek Ferdous, Imperial College London, UK
Md Whaiduzzaman, Torrens Univeristy, Australia
Mohammad Jabed M. Chowdhury, La Trobe University, Australia
Muhammad Usman, Edge Hill University, UK
Naipeng Dong, The University of Queensland, Australia
Nathan Churchward, Cuscal Limited, Australia
Niaz Chowdhury, CSIRO, Australia
Peter McBurney, Kings College London, UK
Peter Robinson, Immutable, Australia
Qiang Tang, University of Sydney, Australia
Raghavendra Ramesh, SupraOracles, Australia
Raja Jurdak, Queensland Univeristy of Technology, Australia
Ranju Mandal, Torrens University, Australia
RK Shyamasundar, IIT-Bombay, India
Salil Kanhere, University of New South Wales, Australia
Samantha Tharani Jeyakumar, Griffith University, Australia
Sandra Johnson, ConsenSys, Australia
Shantanu Pal, Deakin University, Australia
Shiping Chen, Data61-CSIRO, Australia
Son Hoang, RMIT University, Australia
Shoufeng Cao, The University of Queensland, Australia
Sujit Biswas, City Univeersity of London, UK
Sushmita Ruj, The University of New South Wales, Australia
Thanh-Hai Tran, ConsenSys, Australia
Vallipuram Muthukkumarasamy, Griffith Univeristy, Australia
Vincent Gramoli, University of Sydney, Australia
Vishwas Patil, IIT-Bombay, India
Warwick Powell, Queensland University of Technology, Australia
Xin-Wen Wu, University of Mary Washington, USA
Yinxing Xue, University of Science and Technology of China, China
Zaidul Karim, CSIRO, Australia
Zhe Hou, Griffith University, Australia