Research Awards and Achievements

August 2025
Best Paper Honourable Mentions
was received by:

at the IEEE VIS 2025, for the paper, “Qualitative Study for LLM-assisted Design Study Process: Strategies, Challenges, and Roles”.

July 2025
Best Paper Award
was awarded to:

at the 16th International Workshop on Computational Transportation Science (CTS 2025), for the paper, "Multi-terminal berth allocation with vessel rerouting and container transfers via shuttle vessels".

This is best paper award for the annual international workshop on computational transportation science. One of the most prestigious conferences on transportation intersects with optimization and computing.

July 2025
Most Influential Paper Award
was awarded to:

at the 25th IEEE International Conference on Software Quality, Reliability and Security (QRS 2025) for the paper, “Deep Learning for Just-in-Time Defect Prediction”.

The award is given on a ten-year basis to authors of papers published at QRS ten years ago that were judged to have the greatest impact on the theory or practice of software quality, reliability, and security in the ten years since its initial publication.

July 2025

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.

SMU SCHOOL OF COMPUTING AND INFORMATION SYSTEMS | Research Map

CORE RESEARCH AREAS

Create Computing Technology and Systems

Core Research Areas

Artificial Intelligence & Data Science

  •  Data Management & Mining
  •  Decision Making & Optimization
  •  Machine Learning & Intelligence

Human-Machine Collaborative Systems

  •  Human-Computer Interaction
  •  Multimedia Systems
  •  Pervasive Sensing & Systems

Information Systems & Technology

  •  Cybersecurity
  •  Information Systems Management
  •  Software Engineering

INTEGRATIVE RESEARCH AREAS

Digital Transformation in Action

Integrative Research Areas

Learning & Work

  •  Technology-Enhanced Learning & Pedagogy
  • Future of Work
  •  Analytics & Decision Support
  • Next Generation IT Practices

Urban & Sustainability

  • Urban Mobility & Smart Environment
  • Urban Logistics & Sustainability
  • Crowd Management
  • Homeland Security

Health & Well-being

  • Ageing & Mental Health
  • Biomedical Informatics
  • Lifestyle & Wellness
  • Social Analytics

Safety, Security & Fairness

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

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.