Abstract Over the past decade, blockchain technologies and their ecosystems have rapidly expanded, reaching trillions in value and significantly reshaping the digital economy. This advancement necessitates enhanced resilience and performance to meet the evolving demands of decentralised applications. This talk explores the potential of architectural hybridisation as a means to bolster blockchain resilience and performance. I will give two examples of our work, namely Damysus and OneShot, to illustrate the successful application of architectural hybridisation in blockchain. These systems demonstrate significant improvements in blockchain performance and fault tolerance, showcasing the practical benefits of our approach.
Bio Jiangshan Yu is an Associate Professor at the University of Sydney. His research focuses on resilient computing and security, particularly in blockchain systems. He has published in leading venues in the field, including IEEE S&P, ACM EuroSys, IEEE ICDE, IEEE/IFIP DSN, FC, IEEE CSF etc. He served as a Program Committee member for leading conferences in security, database, and systems, such as ACM CCS, VLDB, USENIX ATC, and IEEE/IFIP DSN. He is an elected member of the IFIP 10.4 Working Group on Dependable Computing and Fault Tolerance. He also serves as an Associate Editor for ACM Distributed Ledger Technologies (ACM DLT) and is on the Scientific Advisory Board for the Austrian Blockchain Centre (Austria).
Abstract Autonomous driving technologies are becoming the future of automotive and mobility applications, yet not many of us find their norm and common sense. This talk presents Autoware, an open-source software project that provides full-stack capabilities of autonomous driving, alongside the lessons learned on building intelligent vehicles.
Bio Shinpei is the founder and CEO of TIER IV, and a co-founder and chairman of the Autoware Foundation. He also works as a project associate professor for the Graduate School of Information Science and Technology at the University of Tokyo. He is an internationally renowned expert in computer science, and a pioneer in the evolution of open-source software for autonomous driving technology. Shinpei was an associate professor at the Graduate School of Information Science, Nagoya University, from 2012 to 2016, where his team created the world's first open-source software for autonomous driving technology, Autoware. He was also a postdoctoral scholar at Keio University, the University of Tokyo, Carnegie Mellon University, and University of California.