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Showing results 101-110 of 772.

ISTD PhD Oral Defence Seminar by Yeo Shun Yi – Designing and evaluating interface based reflection mechanisms to enhance deliberativeness in online deliberation platforms

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.

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ISTD PhD Oral Defence Seminar by Dai Siyang – Urban intelligence: machine learning for human and environmental insights

ISTD PhD Oral Defence Seminar by Dai Siyang – Urbanisation 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.

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Congratulations to Assistant Professor Soujanya Poria and his PhD Student Bhardwaj Rishabh for winning Gemma Academic Program GCP credit award

Congratulations to Assistant Professor Soujanya Poria and his PhD Student Bhardwaj Rishabh for winning Gemma Academic Program GCP credit award

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Congratulations to Assistant Professor Simon Perrault and his PhD student Gionnieve Lim for winning the Steve Howard Best Student Paper Award

OzCHI is the annual non-profit conference for the Computer-Human Interaction Special Interest Group (CHISIG) and Australia’s leading forum for the latest in HCI research and practice. OzCHI attracts a broad international community of researchers, industry practitioners, academics and students.

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Congratulations to ISTD PhD student Thilini Cooray and Associate Professor Cheung Ngai-Man for their AAAI-2022 paper selected for Oral Presentation

Congratulations to ISTD PhD student Thilini Cooray and Associate Professor Cheung Ngai-Man for their AAAI-2022 paper selected for Oral Presentation – Information Systems Technology and Design (ISTD)

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ISTD PhD Oral Defense Seminar by Menglin Li – Leveraging pre-trained language models for social geolocation

ISTD PhD Oral Defense Seminar by Menglin Li – Social media has become an integral part of daily life, leading to an explosion of social data. Geographical information within social media is essential for applications such as location-based analysis, recommendations, and targeted advertising. However, such information is sparse, prompting the exploration of mining it from social media data.

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ISTD PhD Oral Defence Seminar by Ho Ngai Lam – Utilising large language models for tour itinerary recommendation

ISTD PhD Oral Defence Seminar by Ho Ngai Lam – Planning a tour Itinerary poses a significant challenge for tourists, especially when navigating unfamiliar territories. The computational complexity of tour recommendation further compounds this challenge due to its inherent intricacies.

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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.

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ISTD PhD Oral Defence Seminar by Joel Ong – Modern portfolio construction with advanced deep learning models

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.

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Congratulations to Professor Zhou Jianying and his visiting PhD Student for receiving the Distinguished Paper Award at ACSAC 2023

Congratulations to Professor Zhou Jianying and his visiting PhD Student for receiving the Distinguished Paper Award at ACSAC 2023

ISTD
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