Media

With the rapid increase in volume and variety of user generated content on the web, the way that people seek and consume information and knowledge is changing.​

Besides conducting research on multimedia technologies, we also design exciting new ways to experience and interact with content involving various media – from video games to smart glasses and sketch animation interfaces.

What We Do

Bring video games to life by creating state-of-the-art technology.
Design technologies that let humans interact with computers in novel ways.
Conduct research in multimedia computing, and study applications in areas such as music, social media, and security.

Sub Areas

Our Research Projects

2015-18: NExT++: Towards Web Intelligence and User Empowerment. Agency: NRF Singapore. Grant: S$12M.

CHUA Tat Seng


2021-23: Learning & Reasoning on Knowledge Graph-Enhanced Info Retrieval. Agency: DSTA. Grant: S$750K

CHUA Tat Seng


Acquiring High Quality Datasets for Dynamic Scene Reconstruction and Event Cameras in Motions

LEE Gim Hee

The project addresses limitations in reconstructing dynamic 3D scenes and static scenes from event cameras. It aims to acquire datasets for indoor scenes with moving objects and high-speed rendering, advancing neural scene representation in these scenarios through public release.


Our Research Groups

Avant Lab

WANG Jingxian

We push the frontiers of wirelessly networked AIoT devices—from wearables to space computers—advancing their networking, sensing, and computing capabilities.

  • Human-Computer Interaction, Ubiquitous Computing

Metaverse Foundry

Anand BHOJAN

The groups focus on content generation for games & XR simulations. We create and evaluate games & XR systems for multiple domains (entertainment, healthcare, architecture, etc.). In addition, we experiment with different methods for teaching entertainment media technologies. Our young undergraduate and graduates students won multiple research and innovation awards.

  • Multimedia Systems

NExT++

CHUA Tat Seng


Web, Information Retrieval, Natural Language Processing Group (WING)

KAN Min Yen

Min leads WING, a group of postgraduate and undergraduate researchers examining issues in digital libraries, information retrieval and natural language processing research. Find out more at http://wing.comp.nus.edu.sg.