Sui Academic Research Awards Announced Again: Top Global Universities Participate, 17 Projects Receive $420,000 in Funding

Recently, the Sui Foundation announced the winners of the new round of academic research awards. The program aims to fund research projects that promote the development of Web3 technology, with a particular focus on breakthroughs in blockchain networks, smart contract programming, and technologies related to products built on Sui.

In the past two phases, a total of 17 proposals from internationally renowned universities have been approved, with a total funding amount of $425,000. Participating institutions include top universities such as the Korea Advanced Institute of Science and Technology, University College London, École Polytechnique Fédérale de Lausanne, and National University of Singapore.

Highlights of Award-winning Projects

Decentralized Autonomous Organization ( DAO ) research

Professor Ari Juels from Cornell University will explore the nature of DAOs, establish metrics for assessing the degree of decentralization, and propose practical methods to enhance internal decentralization within organizations.

Asynchronous DAG Consensus Protocol

The team led by Philipp Jovanovic at University College London is dedicated to developing a new type of asynchronous DAG protocol to enhance the system's ability to withstand attacks and adapt to the ever-changing adversarial environment.

Smart Contract Audit Innovation

The team of Arthur Gervais from University College London will use large language models like GPT-4 to audit Sui smart contracts, aiming to improve contract security.

Research in the Field of Consensus Protocols

Christopher Cachin from the University of Bern will conduct a comprehensive investigation into the current field of consensus, providing new insights for cryptographic consensus protocols.

Oracle Verification Framework

Giselle Reis from Carnegie Mellon University and Bruno Woltzenlogel Paleo from Djed Alliance collaborated to develop a framework for the rigorous analysis and verification of blockchain oracles.

Scalability Bottleneck Identification

The team of Roger Wattenhofer at ETH Zurich will study the bottlenecks in smart contract design to improve the parallel processing capabilities of blockchain applications.

Bullshark Protocol Verification

Ilya Sergey from the National University of Singapore will formally verify the Bullshark protocol, advancing the research on DAG-based consensus protocols.

Blockchain Benchmark Standardization

Henry F. Korth from Lehigh University proposed the creation of a standardized format for blockchain benchmarks to fairly compare various blockchain solutions.

Shared Sorting Layer Research

Min Suk Kang from the Korea Advanced Institute of Science and Technology will explore the potential of Bullshark/Mysticeti as a shared sorting algorithm.

Blockchain Congestion Pricing Optimization

Abdoulaye Ndiaye from New York University studies the local fee market to optimize congestion pricing mechanisms in blockchain networks.

Sharding Automated Market Maker ( AMM ) Development

The Ittay Eyal team at the Israel Institute of Technology is developing the concept of sharded contracts, aimed at improving the performance and concurrency of AMMs.

Market Mechanism Design Innovation

Andrea Attar from the University of Tor Vergata in Rome explores new methods for designing market mechanisms and studies the impact of information disclosure on market outcomes.

Smart Contract Generation Research

The team of Ken Koedinger and Eason Chen from Carnegie Mellon University will research the use of large language models to generate Sui smart contracts.

Move Language Analysis Framework

George Giaglis from the University of Nicosia will conduct a comprehensive comparative analysis of Solidity and Move languages, developing a framework for transitioning to Move development.

DeFi optimization plan

The team of Rachid Guerraoui and Walid Sofiane from the École Polytechnique Fédérale de Lausanne developed a deep learning model to optimize DeFi protocols on Sui.

Cryptocurrency Asset Volatility Prediction

Stavros Degiannakis from the Open University of Cyprus will evaluate the effectiveness of the SPEC algorithm in predicting the volatility of Sui assets.

Post-Quantum Cryptography

Brett Falk and Pratyush Mishra from the University of Pennsylvania are dedicated to developing post-quantum transparent zkSNARKs with low memory requirements.

These research projects cover multiple key areas of blockchain technology, encompassing both infrastructure and application levels. By supporting these cutting-edge studies, the Sui Foundation aims to promote technological advancement and innovative development across the entire Web3 ecosystem.