Events
ISTD PhD Oral Defense Seminar by Dai Siyang – Urban Intelligence: Machine Learning for Human and Environmental
Urbanization has given rise to increasingly complex systems that sustain and manage the lives of urban residents. As populations grow, the challenges of managing traffic, overcrowding, and environmental challenges escalate. These complexities place stress on urban ecosystems, demanding innovative solutions to ensure smooth and sustainable operations.
Itai Arad (Centre of Quantum Computation) – Tensor networks and the Belief Propagation algorithm
Master of Architecture Information Session for Intake 2025
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.
ISTD PhD Oral Defense Seminar by Ho Ngai Lam – Utilizing Large Language Models for Tour Itinerary Recommendation
Planning a tour Itinerary poses a significant challenge for tourists, especially when navigating unfamiliar territories. […]
Immanuel M. Bomze (University of Vienna) – Need to relax – but perhaps later? Reflections on modeling sparsity and mixed-binary nonconvex optimization problems
ISTD PhD Oral Defense Seminar by Teo Tzu Hsuan Christopher – Fair Generative Modelling
Generative modelling (GM) has advanced significantly in recent years, especially in computer vision, where it is used for various purposes, from supplementing limited sample datasets to creating art. As GMs become more integrated into our daily activities, discussions about their efficacy are becoming more prevalent. This is largely due to the potential biases they may contain, which could then influence downstream tasks and proliferate biases in society. In this dissertation, we make important contributions in improving fairness in generative models by identifying and addressing constraints which may limit their broader adoption. […]
Ling Chun Kai (National University of Singapore) – Learning and Solving Games in the Presence of Teams
ISTD PhD Oral Defense Seminar by Ong Kian Eng – Towards Intelligent Analytics for Smarter Animal Behavioral Analysis
Understanding and analyzing animal behaviors 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 behavior holds significant importance in a wide range of domains and industries, such as livestock farming, veterinary sciences, scientific research, ecological and conservation studies. […]
ISTD PhD Oral Defense Seminar by Joel Ong – Modern Portfolio Construction with Advanced Deep Learning Models
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. […]
It's all in the mix: Wasserstein machine learning with mixed features
It’s all in the mix: Wasserstein machine learning with mixed features
