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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.

To contribute your published work or demo to the event, please submit your details via the links below by 29 August 2026.

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

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.

Event Details
Date:
TBC
Time:
11:00 am – 4:00 pm
Venue:
TBC
Tentative Program Details
11:00 am – 12:00 noon Opening
Faculty Spotlights 1
12:00 noon – 12:30 pm Lunch break
12:30 pm – 3:00 pm Poster and Demo Session
3:00 pm – 4:00 pm Faculty Spotlights 2
Closing

Programme Organising Committee
Chair:
  • Dr Fakhar Abbas, Senior Research Fellow (CTIC; GenAI, AI regulation)
Committee Member:
  • Dr Harry Cheng, Research Fellow (SoC; deepfakes, ML)
  • Miao Yisong, PhD Student (SoC; NLP)
  • Lu Jiahao, PhD Student (SoC)
  • Isaac Lee Ning, PhD Student (SoC, Model Interpretability)
  • Fu Guoji, PhD Student (SoC)
  • Ge Siqi, PhD Student (Duke-NUS Medical School)
  • Feng Yu, PhD Student (SoC)
  • Siyuan Yao, PhD Student (SoC)
Advisor:
  • Prof. Lee Wee Sun
  • Dr Yongkang Wong, Senior Research Fellow (SoC; Trustworthy Multimodal AI)

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