AI + X
The Institute’s foundational research provides an underpinning to a wide range of real-world applications across AI + X domains. These domains reflect key activities and concerns of society where AI can have significant impact.
Healthcare and Human Potential
Logistics, Manufacturing and Robotics
Finance and Economy
Urban Sustainability
Education, Humanities and Social Sciences
Science
Healthcare and Human Potential
Domain Leads:
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- Prof Dean Ho
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- Assoc Prof Ngiam Kee Yuan
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- Assoc Prof Liu Nan
AI Leads:
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- Prof Ng See Kiong
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- Prof Wynne Hsu
Goal: To leverage on AI advancements to transform Singapore’s healthcare with the “3 Beyonds”:
5-year Goal: Integrated health records with lifestyle and environmental information for AI utilization, real-world validation of AI-enabled enhanced diagnostics and screening for early prevention
10-year Goal: Personalized/targeted healthcare, wide-spread telehealth adoption
15-year Goal: Predictive healthcare, Human-AI collaborative health and well-being management, AI-assisted biomarker and drug discovery
Logistics, Manufacturing and Robotics
Domain Leads:
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- Prof Teo Chung Piaw
AI Leads:
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- Assoc Prof Bryan Low
Goal: To reinforce Singapore’s connectivity (i.e., supply chain and transaction management) with the global market while elevating local community through innovative logistics and manufacturing practices through AI.
Key research areas:
- AI solutions to optimize supply chain management
- Digital technologies for secure, timely and transparent transactions
- AI empowered advanced manufacturing techniques to enhance local community production capabilities
- Workforce equipped to meet future high-tech logistics and manufacturing requirements of the world
Finance and Economy
Domain Leads:
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- Prof Sing Tien Foo
AI Leads:
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- Assoc Prof Huang Ke-Wei
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- Prof He Bingsheng
Goal: To leverage on multimodal data coupled with Large Language Models (LLMs) for more informed financial analysis and economic policymaking towards a greener economy with appropriate regulation and minimal fraud. AI can enable new services and improve productivity.
Key research areas:
- Multimodal financial forecasting and decision making
- LLM for extracting financial information
- AI for Green Finance and Sustainability
- AI for Regulation Technology and Fraud Detection
- AI for Consumers, Marketing, and Digital Transformation
Urban Sustainability
Domain Leads:
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- Prof Koh Lian Pin
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- Assoc Prof Lee Poh Seng
AI Leads:
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- Prof Anthony Tung
Goal: To optimize urban systems for efficiency, sustainability and resilience and contribute to global discourses on sustainability practices and policymaking.
Key research areas:
- Energy Efficiency and Policy
- Safety and Sustainability in Energy Systems
- Innovative Material and Environmental Analysis
- Urban and Transportation Systems
Education, Humanities and Social Sciences
Domain Leads:
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- Prof Teo Hock Hai
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- Prof Chua Tat Seng
AI Leads:
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- Assoc Prof Ben Leong
Goal: To develop prototypes and establish lead in technology-augmented and online learning.
Key research areas:
- Managing student motivation
- Improving efficiency of teaching administration
- Adaptive learning
- Ensuring trust and safety in high stakes translated communications
- Improving translation accuracy
- Supporting the local social sector
Science
Domain Leads:
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- Assoc Prof Tan Tin Wee
AI Leads:
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- Prof Zhang Yang
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- Assoc Prof Bryan Low
Goal: To accelerate scientific inquiry and potential new scientific discoveries with strategic utilization of AI models and domain knowledge. It can not only help discoveries at speed, scale and efficiency but also potentially enable discoveries otherwise not possible.
Key research areas:
Biomedical Science
• Protein Folding and Protein Structure Prediction
• RNA Biology
• Synthetic Biology
• Computer-aided Drug Design
• Protein and Peptide Design
Materials Science
• Future Material Development
• Quantum Material
• Imaging and Design of Energy Materials
• Single Molecule Microscopy
