External Research Grants

The DHL-SMU Analytics Lab was first established in September 2016 and it has been extended for another two years with fresh investment by DHL for further collaboration. The Lab is a joint initiative by SMU and DHL, aimed at driving innovation and development of applicable advanced analytics concepts across the supply chains globally.

This project explores new approaches to investigating the fundamental research problem of learning from small (labelled) data, called one-shot learning or few-shot learning, and will develop new algorithms and techniques to devise one-shot learning machines with human-like learning capabilities.

This project tackles the problem of developing intelligent multi-agent planning and decision making algorithms, which can scale to a much larger number of agents and support significantly more complex agent behaviour, than currently possible. The proposed work will propose new models and algorithms that are applicable to a wide range of problems of practical importance, particularly in urban system optimisation.

This study seeks to provide a comprehensive quantitative assessment of the extent to which the General Agreement on Tariffs and Trade and the World Trade Organization has contributed to welfare gains and income inequality in the post-war period for the world economy.

The purpose of the research is to understand the mechanisms that enhance commercialisation of research and development from government-funded institutions through licensing by small and medium enterprises in Singapore.

The project seeks to investigate the determinants of persuasiveness in online crowdfunding, and how these vary across cultural contexts. The research aims to develop insights to assist the next generation of Singapore-based entrepreneurs in gaining access and scale across global capital and consumer markets.

This project aims to use game theoretic models to randomise patrols and visits conducted by the police, with the goal to minimise their predictability and enhance security efforts.

This project investigates how conflict between work and family affects Singapore’s skilled employees who come from families of lower socioeconomic status.

This multi-disciplinary project brings together the expertise of the School of Social Sciences, School of Information Systems and Lunch Actually (a dating and relationship advice provider), to develop the first holistic AI mobile platform that provides dating and relationship solutions and advice based on comprehensive personality-match models.

The project is a collaboration between the School of Information Systems and Ospicon Systems, a pioneer of the world’s first patented optical fiber based breath-sensing technology for infants and the elderly. By leveraging on the School's and Ospicon Systems’ respective strengths in the areas of IoT data analytics and fiber-optic sensing, the project team seeks to further enhance the performance of Ospicon’s product offerings.