Events

ISTD Seminar by Zbigniew Kalbarczyk – The challenge of ensuring the safety of autonomous vehicles (AVs, also called ego actors) in real-world scenarios where AVs constantly interact with other actors will be addressed in this seminar.

Workshop series by Chay Choong – CSD alumni Chay Choong conducted a series of workshops titled the Missing Module, which aims at providing a broad introduction to the tools of an effective software engineer.

ISTD COIL Seminar by Zachary Teo – Once considered a niche, Functional Programming (FP) has been gaining increased popularity due to the evolving needs of software systems, such as scalability and concurrency.

ISTD PhD Oral Defence Seminar by Pamela Wang – The thesis will study various degrees of centralisation in cooperation mechanisms, spanning from fully centralised planning-based approaches to fully decentralised communicating agents.

ISTD PhD Oral Defence Seminar by Chia Yew Ken – This thesis investigates the crucial role of structured information in natural language processing and artificial intelligence, with a focus on its extraction, utilisation, and extension to multimodal reasoning.

ISTD PhD Oral Defence Seminar by Wei Lin – Critical Information Infrastructures (CII) encompass the fundamental computer systems that ensure the continuous delivery of essential services, including sectors such as energy, water, and infocomm. Safeguarding these systems against both physical and cyber threats is crucial to maintaining the continuity and resilience of the services they support.

ISTD PhD Oral Defence Seminar by Gionnieve Lim – The thesis investigates the use of various labelling interventions that incorporate automated fact-checking elements for humans, examining people’s perceptions of the labels and their attitudes to the labelled content.

ISTD PhD Oral Defence Seminar by Ng Xun Long – The thesis presents Chaotic World, a large-scale multi-modal dataset with fine-grained annotations of human actions, interactions, and sounds in chaotic situations.

ISTD PhD Oral Defence Seminar by Bhardwaj Rishabh – This thesis investigates critical non-idealities in AI systems, focusing on safety behaviour post-training and alignment.

ISTD PhD Oral Defence Seminar by Zhu Lanyun – Semantic segmentation is a fundamental and important task in computer vision, which aims to classify each pixel in an image. The rapid development of deep learning has significantly advanced semantic segmentation and improved the accuracy, promoting its application in fields with high accuracy requirements for pixel-level prediction, such as autonomous driving and medical diagnosis. Current works for semantic segmentation are typically based on a standard setup that all data is accessible beforehand and can be learned simultaneously.