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NUS Data System Research Group

Our research interests include data systems, distributed and blockchain systems, machine learning and large scale analytics

Incubating Projects

ip8value

A global platform for IP marketing, technology search and investment

TezSign

A digital signing platform that builds the next-generation signing app on Web3.0

Verazt

A static analysis tool to automatically find security bugs and vulnerabilities

Current Projects

Structured Data

A suite of tools for structured data analytics

Falcon

Privacy-Preserving, Efficient, and Incentive-Aware Federated Learning Platform

MLCask

MLCask is a Git-like end-to-end ML life-cycle management system

SINGA

Singa is a distributed deep learning platform, for training large-scale deep learning models

Cohort Study

Cohort is a typical panel study to investigate individuals who share a common characteristic and is powerful in identifying the key factors when analyzing the causal relationship

GEMINI

A generalizable medical information analysis and integration platform

ForkBase

An efficient storage engine for blockchain and forkable applications

FabricSharp

FabricSharp (hash) project is a variant of Hyperledger Fabric 1.4, a permissioned blockchain platform from Hyperledger

Food(lg)

Food(lg) is an efficient and easy-to-use food journaling, nutrition tracking, and analysis platform

VerifiableDatabases

Secure, Efficient & Scalable Database Systems for Big Data & Web 3

NeurDB

An AI-powered Autonomous Data System

Publications

Our work have been published and featured in top-tier international computer science conferences and journals


View Publications