ESD Research Seminar by Ling Chun Kai – One challenge in multiagent environments is the presence of teams — groups of agents acting in a coordinated fashion that distinguish themselves from individuals. This talk touches on two situations where teams are prevalent.

The SUTD’s Master of Architecture (MArch) programme offers a future-forward professional degree programme, highlighting design and research for sustainability and the digital transformation of the architectural profession. The programme launches the careers of leaders in architecture by emphasizing independent critical thinking in a thesis project, supported by close collaborations with faculty on cutting-edge research.

ESD Research Seminar by Warut Suksompong – Fair resource allocation is a fundamental problem in society, with applications ranging from inheritance division to ministry allocation. While the fair division literature typically assumes that all agents have the same entitlement to the resource, several practical applications involve agents with varying entitlements represented by weights.

ISTD PhD Oral Defence Seminar by Ong Kian Eng – Understanding and analysing animal behaviours is crucial for gaining profound insights into the health, needs, and overall well-being of the animal. This involves measuring and monitoring factors such as size, growth, poses, and actions. The analysis of animal behaviour holds significant importance in a wide range of domains and industries, such as livestock farming, veterinary sciences, scientific research, ecological and conservation studies.

He was honored with the “Winner of RSC Excellent Student Award” by the Royal Society of Chemistry (RSC) this September. This award recognizes his academic excellence in leveraging computational chemistry to facilitate interdisciplinary research and his contribution to promoting diversity, equity, inclusion, and respect (DEIR) within the scientific community.

Collective intelligence is created when people collaborate, often with the aid of technology, to gather and utilise diverse information, ideas and perspectives to tackle complex social challenges. In this learning journey, participants will explore such innovative methodologies from two real-life examples.

ISTD PhD Oral Defence Seminar by Joel Ong – We explore the modern application of deep learning techniques in portfolio construction, presenting innovative methodologies that significantly enhance traditional investment strategies. Central to this research are three advanced frameworks that leverage deep learning to optimize financial portfolios.

ESD Research Seminar by Aras Selvi – This work demonstrates that mixed-feature problems can indeed be solved in polynomial time.

ISTD PhD Oral Defence Seminar by Perry Lam – Neural networks are known to be over-parametrised and sparse models have been shown to perform as well as dense models over a range of image and language processing tasks. However, while compact representations and model compression methods have been applied to speech tasks, sparsification techniques have rarely been used on text-to-speech (TTS) models. We seek to characterise the impact of selected sparse techniques on the performance and model complexity.