Research Awards and Achievements

October 2025
2025 Google Academic Research Awards
was awarded to:

for the research proposal, “Safeguarding Young Adults From “Crypto Influencer” Investment Scam” from Google LLC, with the 'Trust, Safety, Security, and Privacy Research Award', via the 'Google Academic Research Awards' program.

October 2025
Distinguished Paper Award
was awarded to:

at the UbiComp / ISWC 2025. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT)., for the paper, “LR-Auth: Towards Practical Implementation of Implicit User Authentication on Earbuds”.

The Distinguished Paper Awards are assigned every year to 3-4% of papers published by IMWUT ((SCIS A*)) in the previous year. This year, 8 papers were selected for an award from 208 accepted papers (3.8%).

October 2025
Best Paper Award
was awarded to:

at the 11th Workshop on Body-Centric Computing Systems (BodySys), co-located with UbiComp / ISWC 2025. , for the paper, “Morphology-Aware HRV Estimation from Wrist PPG in Sedentary Scenarios”.

The Best Paper Award is assigned to the single paper out of nine papers accepted workshop. 

October 2025
Distinguished Tool Paper
was awarded to:

at the 23rd International Symposium on Automated Technology for Verification and Analysis (ATVA 2025), for the paper, “PolyQEnt: A Polynomial Quantified Entailment Solver

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.