Draft:Hai Dong

Biography
Hai Dong is a faculty member at the School of Computing Technologies at RMIT University, Melbourne, Australia. He is the leader of the Smart Sensing and Services Research Area. He is the leader of the CloudTech-RMIT Green Cryptocurrency Joint Research Laboratory (GreenCryptoLab). Dong is known for his research in the areas of Service Oriented Computing and Cloud Computing. In 2016, his paper "Qualitative Economic Model for Long-Term IaaS Composition" received the Best Research Paper Award at The 14th International Conference on Service Oriented Computing (ICSOC 2016), the top international forum in service-oriented computing. He has published more than 140 papers and his publications have been cited more than 2600 times, resulting in an H-Index of 27. In 2023, he received the RMIT Award for Research Engagement and Impact - Industry Engagement in Graduate Research in recognition of his contributions to initiating and supporting innovative and transformational engagement between HDR candidates and industry partners. He had served as a publicity chair in ICSOC 2020 and a demonstration chair for ICSOC 2021. In 2024, he will serve as a publicity chair for ICDM 2024, the world’s premier research conference in Data Mining. He has been interviewed by several public media outlets. On August 6, 2022, he was interviewed by The Saturday Paper on the environmental issue of crypto mining. On November 16, 2022, his research on AI-enabled cryptographic consensus algorithms was exclusively featured in an interview by StockHead. On August 31, 2023, he was interviewed by SBS Chinese to provide his insights on immigrants' contributions to Australia's AI and Web3 research and the importance of welcoming top tech talent by the Australian government.

The overarching objective of the GreenCryptoLab, as articulated by Dong, is the development of an energy-efficient protocol with enhanced performance and scalability. This protocol, named GSPoSt (Green Scalable PoSt or Proof of Space-Time), leverages the quantification of a user's stored data to represent the scale of data managed by a miner over a defined period. This innovative approach justifies the amount of data as proof of arithmetic size, contributing to the provision of decentralized storage services and fostering a more sustainable and efficient network.

Dong's research endeavors extend beyond GreenCryptoLab, encompassing in-depth investigations into various areas such as blockchain network scalability, privacy protocols, and the integration of clean energy solutions. The ultimate aim is to implement these research findings progressively into the Green Bitcoin network. Dong said, "We believe it won't be long before everyone can use and experience this ground-breaking cryptocurrency project for themselves".