Events
New quantum algorithms based on Riemannian optimisation
ESD Research Seminar by Marek Gluza – Dr Marek Gluza will show how the basic aspects of Riemannian geometry of the unitary group such as its curvature, tangent space and dense covering can guide the design of quantum algorithms in this seminar.
A multi-modal LLM-augmented deep reinforcement learning framework for adaptive traffic signal control
ISTD Seminar by Maonan Wang – Urban traffic congestion continues to pose severe challenges for sustainable mobility, and adaptive traffic signal control is widely recognized as a key solution.
Causal optimal transport for stochastic processes
ESD Research Seminar by Daniel Bartl – Prof Bartle will discuss causal transport theory and the adapted Wasserstein distance, which extend classical transport theory from probability measures to stochastic processes by incorporating the temporal flow of information.
The OT Security Platform
ISTD COIL Seminar by Jonathan Chin – Operational Technology (OT) and Information Technology (IT) security safeguard devices, networks, and critical systems.
Near-optimal data-driven control for assemble-to-order systems
ESD Research Seminar by Lun Yu – The literature on periodic-review assemble-to-order (ATO) systems has long assumed that the demand distribution is exactly known. In practice, this may not be true and only a limited sample of historical demand data is available. In this paper, we study data-driven ATO systems under the criteria of long-run average cost
Semiconductor fab system level time-constraint control with uncertainty informed machine learning
ESD Research Seminar by Marvin Carl May – Semiconductor manufacturing systems, fabs, are the most complex manufacturing systems. They provide an ideal environment for the conception of intelligent production control algorithms. A major complexity driver are time-constraints, that limit the maximum time between two processes.
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.
Design, AI, Tech & Innovation
EPD Distinguished Lecture Series & Innovation Forum in partnership with The James Dyson Foundation – Join us to explore how the cutting-edge advancements in technology, design and AI are shaping our future. The forum will feature a keynote by Dyson followed by a panel discussion with industry experts from AMD and ST Engineering.
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.
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.
