2026 NUS AI Research Day
About NUS AI Research Day 2026
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
Call for Participation (Poster Presentation & Demo)
We cordially invite NUS 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 program 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, and foundation models
- Computer Vision, Natural Language Processing, and Multimodality
- Generative AI
- Agentic AI, Artificial General Intelligence, and Autonomous Systems
AI + X
- Healthcare and Human Potential
- Science
- Logistics, Manufacturing and Robotics
- Finance and Economics
- Urban Sustainability
- Education
- Humanities and Social Science
- AI Governance, Policy and Societal Impact
Foundational AI
- Responsible and Safe AI (ethics, explainability, etc.)
- AI Theory
- Reasoning AI
- Resource-Efficient AI
- Machine learning, deep learning, and foundation models
- Computer Vision, Natural Language Processing, and Multimodality
- Generative AI
- Agentic AI, Artificial General Intelligence, and Autonomous Systems
AI + X
- Healthcare and Human Potential
- Science
- Logistics, Manufacturing and Robotics
- Finance and Economics
- Urban Sustainability
- Education
- Humanities and Social Science
- AI Governance, Policy and Societal Impact
Poster Submission Deadline
The poster submission deadline has been extended to 4 September 2026.
To contribute your published work or demo to the event, please submit your details via the links below
Event Details
We warmly welcome government agencies, industry partners, and technology companies to engage directly with the NUS AI research community. The event also serves as an inspiring entry point for undergraduate students to experience the latest AI developments, connect with leading research labs, and discover future pathways in AI research and entrepreneurship.
Date:
Tuesday, 22 September 2026
Time:
11:00am – 4:00pm
Venue:
COM3 Multi-purpose Hall (#01-27)
11 Research Link, Singapore 119391
Program (Subject to change)
11:00am – 12:00pm
Opening: Faculty Spotlights 1
12:00pm – 12:30pm
Lunch Break
12:30pm – 3:00pm
Poster and Demo Session
3:00pm – 4:00pm
Closing: Faculty Spotlights 2
| 11:00am – 12:00pm | Opening: Faculty Spotlights 1 |
| 12:00pm – 12:30pm | Lunch Break |
| 12:30pm – 3:00pm | Poster and Demo Session |
| 3:00pm – 4:00pm |
Closing: Faculty Spotlights 2 |
- Dr Fakhar Abbas, Senior Research Fellow (CTIC; GenAI, AI regulation)
- 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)
- 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)
