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2026 NUS AI Research Day

22 September 2026 11:00am – 4:00pm COM3 · National University of Singapore

About The Event

NUS AI Research Day is a university-wide event designed to bring together AI researchers and students from across the National University of Singapore (NUS), as well as industry and government partners.

Building on our successful inaugural edition—which showcased 100+ posters, live demonstrations, and keynote talks—this flagship gathering offers a dynamic platform to present emerging AI trends, highlight top-tier publications, share insights, and spark new collaborations.

Poster Session for 2025 AI Research Day
Poster Session from 2025 AI Research Day

Event Details

The event is supported by Google.org

Date Tuesday
22 September 2026
Time 11:00am – 4:00pm
Venue COM3 Multi-purpose Hall (#01-27)
and COM3 Seminar Room 14 (#01-23)
11 Research Link, Singapore 119391

Programme

*Programme is subject to change.
Time Activity Venue
11:00am – 12:15pm Opening Remarks & Early-Career Faculty Spotlight 1 COM3 Seminar Room 14 (#01-23)
12:15pm – 12:45pm Lunch Break COM3 Level 1 Foyer
12:45pm – 3:00pm Poster & Demo Session COM3 Multi-Purpose Hall (#01-27)
3:00pm – 4:00pm Faculty Spotlight Session 2 & Closing Remarks COM3 Seminar Room 14 (#01-23)
View Technical Programme

Explore AI Research Across NUS

We cordially invite researchers, postdocs, and graduate students to submit their recently published work from top-tier AI conferences and journals for the poster session and interactive project demonstrations. To celebrate research excellence, prizes will be awarded to the top poster presenters in recognition of exceptional technical contribution and presentation quality. Additionally, this year's programme features dedicated spotlight sessions highlighting early-career and young AI faculty members as they outline their research vision and key initiatives.

We invite submissions for poster presentations and live demonstrations showcasing research in Foundational AI, interdisciplinary AI applications (AI + X), and emerging AI-related topics.

Foundational AI

Responsible and Safe AI (ethics, explainability, etc.)

AI Theory

Reasoning AI

Resource-Efficient AI

Machine Learning, Deep Learning & Foundation Models

Computer Vision, NLP & Multimodality

Generative AI

Agentic AI, Artificial General Intelligence, and Autonomous Systems

AI + X

Healthcare & Human Potential

Science

Logistics, Manufacturing & Robotics

Finance & Economics

Urban Sustainability

Education

Humanities & Social Science

AI Governance, Policy & Societal Impact

Programme Organising Committee

Chair

Dr Fakhar Abbas Senior Research Fellow
CTIC; GenAI, AI regulation

Committee Members

Dr Harry Cheng Research Fellow, School of Computing
Deepfakes, ML
Miao Yisong PhD Student, School of Computing
NLP
Lu Jiahao PhD Student, School of Computing
Isaac Lee Ning PhD Student, School of Computing
Model Interpretability
Fu Guoji PhD Student, School of Computing
Ge Siqi PhD Student, Duke-NUS Medical School
Feng Yu PhD Student, School of Computing
Siyuan Yao PhD Student, School of Computing

Advisors

Prof Lee Wee Sun Professor in Department of Computer Science (School of Computing)
Dr Yongkang Wong Senior Research Fellow, School of Computing
Trustworthy Multimodal AI

Sponsors

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NUS Artificial Intelligence Institute

 
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