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ISTD PhD Oral Defence Seminar by Gionnieve Lim – Human-centred design of automated labelling interventions to mitigate misinformation on social media
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 Defense Seminar by Gong Jia – Towards data efficient, reliable and flexible 3D digital human modelling
ISTD PhD Oral Defense Seminar by Gong Jia – 3D digital human has been widely used in fields like virtual reality, fashion, and film/game production. Traditionally, creating and animating digital humans requires skilled engineers and expensive equipment, typically accessible only to large companies. Thus, developing deep learning tools to democratize the creation and animation of digital humans is urgently needed.
ISTD PhD Oral Defence Seminar by Ong Kian Eng – Towards intelligent analytics for smarter animal behavioural analysis
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.
ISTD PhD Oral Defence Seminar by Wei Lin – Domain-aware stealthy attack and digital-twin-based defence for critical information infrastructures
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 Defense Seminar by Rulin Chen – Modelling and design of assemblies with discrete equivalence classes
ISTD PhD Oral Defense Seminar by Rulin Chen – An assembly comprises parts joined together to achieve a specific form or functionality. Compared to monolithic objects, assemblies have many benefits in terms of fabrication, transportation, and adaptability. Parts of assemblies are always geometrically simple to fabricate with digital techniques, can be efficiently packed for transportation, and offer adaptability through flexible replacement or modification. Hence, assemblies are widely used in our daily lives that most of our consumer products, industry machines, and architectural structures are assemblies.
Professor Zhou Jianying and PhD student Liu Bowen received the best paper award from IEEE DAPPS 2021 – Information Systems Technology and Design (ISTD)
Professor Zhou Jianying and PhD student Liu Bowen received the best paper award from IEEE DAPPS 2021 – Information Systems Technology and Design (ISTD)
ISTD PhD Oral Defense Seminar by Haoran Li – Overcoming the limitations of autoregressive and non-autoregressive neural models
ISTD PhD Oral Defense Seminar by Haoran Li – Language models are critical to the advancement of natural language processing and general artificial intelligence. In this thesis, we aim to address the limitations of language models, particularly focusing on the exposure bias in Autoregressive (AR) models and the label bias in Non-Autoregressive (NAR) models.
Congratulations to PhD Student Garbelini Matheus Eduardo for winning the Intel Bug Bounty Award – Information Systems Technology and Design (ISTD)
Congratulations to PhD Student Garbelini Matheus Eduardo for winning the Intel Bug Bounty Award – Information Systems Technology and Design (ISTD)
Congratulations to PhD student Tok Yee Ching for his win at The Cybersecurity Awards 2019 – Information Systems Technology and Design (ISTD)
Congratulations to PhD student Tok Yee Ching for his win at The Cybersecurity Awards 2019 – Information Systems Technology and Design (ISTD)
ISTD PhD Oral Defense Seminar by Li Xu – Towards effective, robust, and continual multi-modal learning
ISTD PhD Oral Defense Seminar by Li Xu – In the ever-evolving field of artificial intelligence (AI), deep learning has emerged as a pivotal technique driving remarkable advancements across various domains. Among its many branches, multi-modal learning stands out as a particularly significant approach, which involves integrating and processing information from multiple modalities of data, such as visual content and language information, to enhance the capabilities of AI systems.