Towards practical blockchain technologies for physical asset tokenization

Originating in 2008 with Bitcoin, blockchain technologies have reached recognition as the infrastructure powering cryptocurrencies. Smart contracts have provided the programmability needed to support a second generation of decentralized applications, such as non-fungible tokens (NFTs) and decentralized finances (DeFi). We are now ushering in a third wave, where the technology is crossing the digital boundary to manage physical assets as digital tokens residing natively on a blockchain platform. This process of “physical asset tokenization” has the potential to impact a wide variety of industries, such as real estate, medical records, and supply chain management.

Our objective is to research blockchain innovations and ensure readiness for these future applications. Specifically, we focus on two dimensions. First, modern systems are becoming increasingly complex, consisting of multiple specialized blockchains communicating with various other off-chain components. We will address interoperability issues and ensure the entire architecture is secure and efficient. Second, machine learning models are a core building block for automating asset tokenization. Our blockchain solutions will be seamlessly integrated with ML in enabling decentralized federated learning. This project will be realized in the context of a real estate tokenization application provided by our partner as a testbed for our research.

Faculty Supervisor:

Kaiwen Zhang

Student:

Partner:

T-RIZE

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

École de technologie supérieure

Program: