A team led by Professor Paulin Straughan is studying how urban design and infrastructure influence physical activity, mobility, and social participation among older adults. The goal is to create a sustainable approach to wellbeing-management through
A new generation of intelligent decision support methods and software tools will be developed to enhance supply chain resilience, optimize healthcare operations, and strengthen emergency response coordination. The HOPE project aims to create a lasting area of excellence in human-centered AI, serving as a trusted partner for government,...
A recent study aims to evaluate the effectiveness of Healthier SG in cancer screening, focusing on improving systems and boosting habits. The research seeks to address knowledge gaps in evidence-based planning for Singapore's preventive care agenda.
Researchers at Singapore Management University have developed VISTA, an AI system that embeds socially grounded values into the decision-making process of large language models. The system aims to ensure AI trustworthiness and accountability by monitoring and regulating AI behavior in real-time.
A new Singapore-based project reanalyzes 35 years of weather records for Southeast Asia, aiming to improve weather forecasting and regional climate resilience. The project will train artificial intelligence to make more precise predictions, benefiting governments, aviation, and maritime sectors.
The project aims to integrate native edible plants into urban spaces, leveraging Singapore's tropical climate and cultural heritage. It plans to engage the global research community through publishing journal articles and organizing discussions with legal academics and practitioners.
Researchers found that Large Language Models (LLMs) can replace human effort in low-context, deductive labelling tasks with high accuracy. However, for high-context tasks, LLMs are unreliable due to a lack of deep situational awareness. The study suggests using LLMs for selective samples and providing them with 'few-shot' prompts to in...
The study explores how to nurture and manage collaborative networks to improve community-level outcomes, particularly in food systems, regional economic development, and renewable energy innovation. It focuses on the characteristics of collaborative processes, such as network density, diversity, inclusion, and participation.
The Strategic Partnership between SMU and the Tax Academy of Singapore aims to boost ongoing discourse on global taxation issues through in-depth analyses of major developments. The partnership seeks to equip decision-makers with full background information necessary to make good tax decisions, contributing to the global tax academic c...
The SMU project, led by Professor Zhu Bin, tackles three key problems in embodied AI: unrealistic plans, lack of environmental awareness, and inflexibility. The research aims to create robots that can adapt to changing environments and perform complex tasks such as elder care and healthcare.
Research aims to quantify global pathways of migrant nurses, analyzing factors such as age and social class. The study seeks to understand how 'middle space' recruiters, brokers, and policymakers influence migration decisions.
A team led by Associate Professor He Shengfeng is developing a groundbreaking deepfake detection system, called DeepShield, which promises to have widespread commercial applications. The system aims to make several breakthroughs in the global race to combat realistic fake media, including detectable manipulations and tamper detection.
SMU's latest project aims to improve AI-driven defect detection in aircraft surface inspections, tackling challenges like inconsistent lighting conditions and limited training data. The project uses knowledge from large vision-language models to spot defects accurately and adapt to changing environments.
The SMU Core Curriculum now requires students to take numeracy courses and economics modules that examine how these fields interact. This interdisciplinary pursuit helps shape mindsets into unfamiliar zones, enabling students to adapt and learn.
Professor Zhou's research project FoCo aims to improve the efficiency of optimizers used in large AI models, reducing high training costs and memory usage. The study has potential real-world benefits in dynamic environments such as self-driving cars, enabling faster deployment of safer and more responsive AI systems.
A historical overview of Singapore's edible gardens sheds light on the British colonial government's Garden City Movement and its impact on urban wellbeing. The research also explores the role of vernacular gardening in Singapore, particularly during the Japanese Occupation, where food shortages led to mandatory tapioca-planting.
A study by Associate Professor Chang Pao-Li explores how trade shocks propagate through firm-to-firm linkages, affecting productivity, labor demand, and innovation. The research aims to quantify the positive effects of multinational enterprises on local economies, including increased labor demand and higher wages.
Monit Sharma, a 23-year-old Research Engineer at Singapore Management University, has been recognized for his work on quantum algorithms to solve real-world supply chain issues. His findings were published in top quantum conferences and validated the practical applicability of quantum computing.
The SMU project plans to provide accurate, low-latency, minimal maintenance indoor localization solutions using the one-sided RTT Wi-Fi feature. This technology can penetrate obstacles and work with any Wi-Fi AP, making it a reliable method for locating objects indoors.
Researchers aim to enhance wearable monitors' ability to accurately measure vital signs, tackling motion artefacts and posture challenges. A novel solution incorporating contact pressure into calculations shows promise in reconstructing distorted PPG waveforms.
A new study by Shereen Fatimah and colleagues suggests that employees who speak up with improvement-oriented ideas (promotive voice) boost their sense of power, while those who focus on problems (prohibitive voice) deflate it. The research highlights the importance of framing issues in a positive tone to exert influence.
Research by SMU's School of Accountancy found that data breaches rose nearly eight times between 2005 and 2018, with average costs reaching US$388 million. To mitigate this issue, managers should realign incentives and foster a corporate culture valuing long-term sustainability over short-term gains.
A recent study by SMU researchers aims to investigate the relationship between a company's environmental sustainability performance and its employees' decisions, particularly regarding job retention. The study will use archival data to analyze how firms respond to environmental challenges, providing insights into strategic decisions fo...
A Singapore Management University professor is investigating how companies quantify their ethical awareness of using Generative AI. His project aims to understand the impact of AI on businesses and society, including factors such as misinformation and job displacement.
The project uses generative AI to examine whether scientific toolkits can help better study consumer behaviour in an effective way. By leveraging modern AI models and data from platforms like YouTube, researchers aim to extract meaningful patterns without needing to build a model from scratch.
A study by Weikai Li aims to quantify the economic impacts of climate change on business and financial markets in Singapore. The research explores how carbon pricing policies affect firm profitability and market value, as well as their potential to support a low-carbon economy through increased costs, government revenue recycling, and ...
The study reveals that segment disclosure and reporting increase the implicit motivation for managers to act in shareholders' interests. Equity-based compensation incentives decrease following the introduction of SFAS 131, with a more pronounced effect in volatile market environments and firms with weak operations monitoring.
A researcher at Singapore Management University is using virtual reality technology and AI to help students overcome their fear of public speaking. The PresentationPro platform uses avatars that respond realistically to verbal and non-verbal cues, allowing students to practice public speaking in a low-risk environment.
Researchers aim to assess the reliability and robustness of perception modules in autonomous driving systems (ADSs), which are critical for safe operation. The project seeks to develop new technologies that can detect perception errors and mitigate their impact on other modules, ultimately enhancing the overall system.
A recent study found that work-life imbalance significantly predicts higher triglycerides and lower HDL levels in midlife and older adults. This suggests that spillover effects of workplace stress on home life can contribute to physiological changes linked to cardiovascular diseases. The research highlights the importance of organizati...
The Prompt Tutor is a learning tool that provides personalized prompts to students, clarifying doubts and improving retention of learned material. The tool is based on Cognitive Load Theory and uses ChatGPT to evaluate student understanding, offering timely feedback to support effective online learning.
A recent study examines the effect of relative performance evaluation on employee mental well-being, revealing potential drawbacks such as unhealthy competition and unfairness. The research uses a field experiment with 200 participants to gather insights into this critical workplace issue.
A new research project led by Professor David Lo aims to develop an approach to find cybersecurity weaknesses in software applications' source code. The project proposes building a localised and specialised LLM solution to discover vulnerabilities in government code base, leveraging open-source projects and communities.
A recent study by Singapore Management University researchers used machine learning to develop a personalized decision support tool for ICU patients. The analysis indicates that incorporating predictive information can reduce ICU length of stay and extubation failure rates, leading to improved patient outcomes.
The Digital Urban Climate Twin (DUCT) system models urban spaces to simulate different scenarios and understand the impact of urban heat on microclimate. The system aims to reduce urban heat and promote thermal comfort for residents of Singapore, with a beta version already released for testing.
A self-updating chatbot uses deep learning to detect new intents, slots, and values with reduced human input. The chatbot's ontology is updated accordingly, allowing it to handle a wide range of user requests and provide accurate responses.
A recent survey highlights social class divide as a concern in Singapore, with research aiming to understand its impact on perceptions and interactions. The study plans three separate studies to investigate how exposure to different social classes shapes feelings toward them.
Researchers developed a multiple speed assessments (MSAs) method to assess adaptability, which combines elements of Situational Judgment Tests and Assessment Centres. The study used role plays to evaluate participants' behaviors and reactions in short time frames, providing accurate forecasts of future performance.
Researchers aim to understand changes in rainfall patterns and their impact on water security, climate change, and urban planning. They will analyze historical data from 1900 to 1960 to identify trends and provide a comprehensive view of rainfall across the region.
Researchers at Singapore Management University aim to create a robust machine learning system capable of correctly identifying Singapore's multiracial food. The project focuses on addressing biases in current systems and developing an algorithm that can recognize a wide range of dishes, including those beyond popular online trends.
A team from Nanyang Technological University and the National University of Singapore aims to develop innovative solutions to enhance the accuracy of computer vision systems for autonomous vehicles. They will focus on designing CV systems that can recover to at least 80% of their original accuracy following physical threats or attacks.
The study found that mindfulness increases moral outrage and punishment for others in injustice, challenging the idea that it can numb people to such events. No bystanding behavior was observed across all studies, indicating that more people will help a person in distress when witnessing injustice.
Researcher Micah Tan has been recognized for his work on older adults' health and wellbeing. His research focuses on developing holistic measures of wellbeing that can span economic, psychological, social, and mental dimensions. He aims to help more people age successfully by enabling them to contribute meaningfully to their communities.
The research aims to optimize layout, zoom, and user selection on mobile devices to display enough data for users to make sense of it. The team will also explore the impact of speech, touch, and tilting modes on enhancing user readability of data visualizations.
Researchers are exploring the use of large-scale pre-trained vision-language models (PT-VLM) to develop a new methodological framework for harnessing their power. The project aims to identify basic skills required by VisualQA and design methods to augment pre-trained models with additional skills, such as object recognition and spatial...
Dr. Yuliya Dzyuban's research focuses on mitigating heat impacts in cities using smart urban design, thermal perceptions, and decision support systems. Her work aims to create a digital twin called DUCT that combines human perceptions, health, and microclimate data to design more comfortable cities.
The K-EMERGE project aims to capture data from textbooks and human experts, combining them using deep-learning AI-based Natural Language Processing (NLP) and cognitive architecture modeling. The system learns continuously to evaluate and enhance the integrity of the data.
Researchers at SMU and NTU will assess the impact of speeches by prominent politicians and business leaders on group cohesion, using video recordings of National Day speeches. The study aims to identify changes in speaking techniques over time and their effect on audience response, with a focus on Singapore's multiracial population.
A study found that dual-class shares can be beneficial for long-term performance if they come with a sunset clause, allowing founders to maintain control without exploiting shareholders. However, the existence of perpetual dual-class shares may lead to negative consequences, such as lower stock prices.
TrustedSEERs project, led by Professor David Lo, uses software analytics to create trusted automation bots as digital assistants informed by Artificial Intelligence (AI). The goal is to improve the quality of software systems and applications by addressing challenges faced by software developers.