Events

ISTD COIL Seminar – Learn to build, run, and deploy your applications anywhere using containers. Through the 2 guest lectures & online learning course, you will be able to explain the fundamentals of Docker and containerisation.

ISTD PhD Oral Defence Seminar by Yeo Shun Yi – In this dissertation, PhD candidate Yeo Shun Yi will examine how reflection can be systematically supported through interface interventions to enhance the deliberative quality of user contributions.

ISTD Seminar by Fang Guoxin – Multi-Axis Additive Manufacturing (MAAM) is revolutionising 3D printing by enabling non-planar material deposition in true three-dimensional space.

ISTD COIL Seminar by Tan Jiaqi – In this talk, some of the techniques that cybersecurity practitioners and researchers use today, and how the cybersecurity research that is done at DSO National Laboratories help to keep critical computers and software systems in Singapore safe from cyber-attacks will be shared.

ISTD Seminar by Wang Dongxia – This talk presents our recent efforts to bridge gaps, ranging from human-aligned LLM safety/over-safety evaluation and enhancement, region-aware AI social value study, mechanism reliability investigation to downstream industrial applications, collectively advancing trustworthy deployable LLM-centric AI.

ISTD Seminar by Subhajit Datta – Software systems are everywhere. Over the past few decades, we have increasingly come to depend on these systems for our needs.

ISTD Seminar by Subhajit Datta – We live in an era of algorithms. Our digital footprints let algorithms decide which doors will open for us, both literally and figuratively.

ISTD PhD Oral Defence Seminar by Hong Pengfei – This thesis addresses critical questions surrounding the evaluation and enhancement of reasoning robustness, generalisability, and comprehensiveness in modern language models, particularly under realistic conditions involving noise, ambiguity, domain shifts, and multimodal inputs.

ISTD PhD Oral Defence Seminar by Wei Han – This thesis, aims to provide practical solutions towards basic issues such as high computational costs of multimodal learning, and giving practical solutions to each of them.

ISTD PhD Oral Defence Seminar by Duo Peng – In this paper, we investigate Diffusion-Based Domain Adaptation, leveraging emerging
diffusion models to address domain adaptation tasks. The motivation behind our research stems from the powerful distribution transformation capabilities of diffusion models, which we aim to harness to help AI models adapt to new data distributions.