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ISTD PhD Oral Defence Seminar by Wang Tianduo – Towards generalisable intelligence: From pre-training to chain-of-thought and interventional exploration
ISTD PhD Oral Defence Seminar by Wang Tianduo – This thesis studies how large language models (LLMs) generalise under distribution shift.
ISTD PhD Oral Defence Seminar by Chin Wai Kit Daniel – Explaining graph-based misinformation detection models
ISTD PhD Oral Defence Seminar by Chin Wai Kit Daniel – Social media and social networking platforms have greatly connected people worldwide and democratised information creation and propagation by facilitating seamless and almost instantaneous information sharing between people and communities.
PhD / EngD / MEng / MIbD / MNEED Students
Congratulations to Srilalitha Gopalakrishnan, ASD PhD candidate, for her appointment as President of the Singapore Institute of Landscape Architects (SILA), 2021-2023
Congratulations to Srilalitha Gopalakrishnan, ASD PhD candidate, for her appointment as President of the Singapore Institute of Landscape Architects (SILA), 2021-2023
ISTD PhD Oral Defence Seminar by Qi Zhang – Advancing signal processing with modulo sampling: theory, algorithms, and applications
ISTD PhD Oral Defence Seminar by Qi Zhang – Analog-to-digital converters (ADCs) are crucial in signal processing but face challenges when handling high-dynamic-range signals. In radar systems, the coexistence of strong and weak targets can lead to significant information loss due to ADC limitations.
Liu Guangxin, PhD student under the supervision of Associate Professor Wu Lin, has received the Best Flash Talk Award.
Liu Guangxin, received the Best Flash Talk Award at Advanced Photonics: The Intelligent Photonics Forum, held in Foshan, China, from 7 to 9 November 2025. His presentation, Deep Learning-Driven Quantum Nanophotonic Systems, was recognized for its excellence and innovation.
ISTD PhD Oral Defence Seminar by Wei Han – Towards expressive, robust and generalisable multimodal learning
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 Dongrui Li – Energy-aware edge AI accelerator design for applications from CNNs to LLMs
ISTD PhD Oral Defence Seminar by Dongrui Li – The dissertation investigates four AI accelerator design directions, each validated through tapeout prototypes. Spiking Neural Network (SNN) accelerators are explored with in network computing.
ISTD PhD Oral Defence Seminar by Tomomasa Yamasaki – Software-hardware co-design for energy-efficient neural network accelerators
ISTD PhD Oral Defence Seminar by Tomomasa Yamasaki – This dissertation proposes an integrated research framework that spans algorithm-level network evaluation, hardware-aware optimisation, and cycle-accurate performance simulation.
ISTD PhD Oral Defence Seminar by Hee Ming Shan – Towards trustworthy and explainable AI for multimodal hate content moderation
ISTD PhD Oral Defence Seminar by Hee Ming Shan – The proliferation of hateful multimodal content, particularly in the form of hateful memes, poses significant threats to online safety and social cohesion. Although deep learning systems, especially vision-language models, are essential to automated multimodal content moderation, they operate as black boxes, offering limited explainability into their decision-making processes.