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Research Focus Areas

As a computing school in Singapore Management University, our research is uniquely defined by the twin emphasis of Academic Scholarship in Computing Technology and Practice Scholarship in Solution Development.

Our Academic Scholarships are directed to 3 selected areas, mainly Artificial Intelligence and Data Science, Human-Machine Collaborative Systems, and Information Systems and Technology.

At the same time, we need to go beyond technology creation in order to achieve practical impact.

We emphasise solution development which entails integrating different technologies, integrating with business models and processes, addressing usability, deployment and product management concerns, aligning with local ethical norms as well as legal and regulatory frameworks and ultimately, fulfilling user and organisational needs.

That is what we mean by Practice Scholarship.

The application areas that we direct our Practice Scholarship to are: Learning & Work, Urban & Sustainability, Health & Wellbeing, and Safety, Security & Fairness.

FACULTY AND THEIR PRIMARY RESEARCH AREA

CORE RESEARCH AREAS - CREATE COMPUTING TECHNOLOGY AND SYSTEMS

 
 

INTEGRATIVE RESEARCH AREAS - DIGITAL TRANSFORMATION IN ACTION

 
Learning & Work

Learning & Work

Urban & Sustainability

Urban & Sustainability

Urban Mobility & Smart Environment
Urban Logistics & Sustainability
Crowd Management
Homeland Security
Health & Wellbeing

Health & Wellbeing

Ageing & Mental Health
Biomedical Informatics
Lifestyle & Wellness
Social Analytics
Safety, Security & Fairness

Safety, Security & Fairness

Trustworthiness of Digital Platforms & Devices
Misinformation & Disinformation
Privacy-Preserving Data Sharing & Analytics
Security & Governance of Software / AI Systems
 

Centres, Labs & Initiatives

To conduct research which integrates social sciences and humanities disciplines with advances in computational intelligence and digital technologies.
Formally known as Secure Mobile Centre, the Centre on Security, Mobile Applications and Cryptography conducts research on the following areas:
  • Systems and mobile security
  • Software and data security
  • Cryptography and cloud security
  • Digital platforms device security
  • Program analysis and blockchain
To conduct both applied and fundamental research in the intersection of software engineering, artificial intelligence, and cybersecurity for improving software quality and reducing costs.
To build trustworthy (robust and explainable) AI decision making frameworks and systems that collaborate with humans and/or other AI systems. The initial focus of the lab is on developing frameworks for trustworthy training and situated assistance for non-expert humans in safety critical environments.

Research in Education Programmes