Projects

Verifin – Securing Blockchain Transaction with Recipient Identity Auto-Validation

Today, a growing number of companies are leveraging public blockchains to collect revenues or pay employees and suppliers, primarily due to the benefits of cost savings and increased efficiency, particularly in cross-border transactions. However, malicious actors often exploit these systems through phishing, impersonation, or address poisoning attacks, redirecting B2B or B2C payments to incorrect destinations. While pseudo-anonymous and irreversible payments are generally valued within the blockchain community, these characteristics can deter traditional businesses from adopting blockchain for daily operations due to the associated risks.

To overcome these barriers to the adoption of cryptocurrency in B2B and B2C payments, this project introduces an innovative framework that allows payers to verify the recipient’s real-world identity (RWI) during transactions by adding a layer of identity validation through smart contracts. The platform prototype, developed on the XRPL-EVM sidechain, integrates technologies such as Merkle Trees, organization-wide and government-issued public key infrastructure (PKI), and third-party ID verifiers to securely bind or verify an identity.

This decentralized and automated framework demonstrates how businesses can safely incorporate blockchain technology into their everyday financial activities, providing a secure solution that addresses common concerns and facilitates wider adoption.

Fractionate – Real World Asset Tokenization

Fractionate is a real estate tokenization platform designed to address the industry’s pain points by utilizing blockchain technology. By creating a more efficient process for registering properties for investment, Fractionate simplifies the traditionally complex and time-consuming steps involved in property registration, making it more accessible for all stakeholders.

One of the platform’s key features is its ability to lower the barriers to entry for real estate investments through fractional ownership. This innovative approach allows investors to purchase a portion of a property, rather than the entire asset, making real estate investment opportunities available to a broader audience. Fractional ownership democratizes the real estate market, enabling smaller investors to benefit from property appreciation and rental income.

Additionally, Fractionate offers a decentralized trading system that facilitates the buying and selling of property tokens. This system provides increased liquidity and flexibility, allowing users to trade their property tokens more freely and efficiently. By enabling seamless transactions within a decentralized framework, Fractionate enhances the accessibility and fluidity of real estate investments.

Demo of the application:

 

ScaNUS

Problem statement: 

How should education institutions maximise the engagement of event-goers with these information  points, and at the same time, educate the public about the diverse  use-cases of NFTs in a practical, hands-on way. 

Possible Solutions:

Presenting ScaNUS! We chose to use a learn-to-earn strategy  where users can mint their own NFTs based on the level of  interaction within the event. 

The more NFTs a user mints by  interacting with showcases and information at the events such as class attendance, performance on quizzes, ranking in module contest, course completion, dean’s list certification or vacation project completion.

 

NUSwap – Simulated Trading Exchange

Overview

We have developed a cryptocurrency simulated trading platform to provide a controlled, risk-free environment for students to experiment with and test their investment strategies using real-time market data. By bridging theoretical knowledge with practical application, the platform fosters experiential learning while also serving as a valuable resource for research.

Key Features

Experiential Learning

Enables students to apply investment strategies in a realistic but risk-free setting.

Algorithmic Trading

Test automated strategies with real-time market data.

Data Collection

Generate datasets for future research on trading behaviors and performance.

Key Milestones

Global Experiment
Participants from NUS, Morgan State University (US), and FGV (Brazil) participated in a trading contest using the platform.
Recognition
Findings presented at UBRI Connect 2024 in ETH Zurich.
Collaboration
Professors from NUS, MSU (U.S.), and FGV (Brazil) are incorporating the platform into their courses.
Global Experiment
Participants from NUS, Morgan State University (US), and FGV (Brazil) participated in a trading contest using the platform.
Recognition
Findings presented at UBRI Connect 2024 in ETH Zurich.
Collaboration
Professors from NUS, MSU (U.S.), and FGV (Brazil) are incorporating the platform into their courses.
Global Experiment
Participants from NUS, Morgan State University (US), and FGV (Brazil) participated in a trading contest using the platform.
Recognition
Findings presented at UBRI Connect 2024 in ETH Zurich.
Collaboration
Professors from NUS, MSU (U.S.), and FGV (Brazil) are incorporating the platform into their courses.
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Testimonial

Application Demo

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We invite educators, researchers, and institutions to join us in expanding this initiative. If you’re interested in using the platform, please email us at fintech[at]comp.nus.edu.sg. Together, let’s shape the future of education and research in trading and behavioural finance.