NUS Database System Research Group

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

Incubating Projects

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

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Current Projects

Structured Data

A suite of tools for structured data analytics

FinTech

AI-driven and Data-driven Financial Management and Analytics

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

Cool

Cool is an online cohort analytical processing system that supports various types of data analytics,including cubequery, ice-berg query and cohort query.

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

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Publications

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

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