Events
Zoning in emerging logistics systems: New theory and practice
ESD Research Seminar by Sheng Liu – New zoning methods and their applications to manage emerging logistics systems in retail and last-mile delivery will be discussed in this talk.
From prevention to treatment: Designing personalised healthcare operations through analytics
ESD Research Seminar by Wang Xiaodong (Frank) – Healthcare extends beyond the clinical setting; it is a complex system where patients navigate interconnected stages of prevention, diagnosis, and treatment. In this talk, Frank provides an overview of his research, which examines healthcare systems through the lens of the patient journey.
Adaptive and robust optimisation algorithms for large scale machine learning
ESD Research Seminar by Ali Kavis – This seminar will investigate the shortcomings of classical approaches and explore how data-driven, adaptive mechanisms could help in theory and application.
Self-creating random walks for decentralised learning under Pac-Man attacks
ESD Research Seminar by Xingran Chen – In this seminar, we investigate an adversarial threat termed the “Pac-Man” attack, in which a malicious node probabilistically terminates any random walk (RW) that visits it.
Smart EV charging management in modern power systems: the transition from loads to grid assets
ESD Research Seminar by Can Berk Saner (aka John) – This talk examines accommodating large-scale EV penetration by managing charging and converting EVs from demanding loads into useful grid assets.
Befriending the quantum computing disruption: lessons from double-bracket quantum algorithms
ESD Research Seminar by Marek Gluza – Dr Marek Gluza will explore what is likely to make up the disruption caused by quantum computing, how it will come about and when (or actually whether) it will happen.
Cascading failures in power grids and their containment
ESD Research Seminar by Bogdan Cautis – What if cascading failures in power grids and online information diffusion in the blogosphere are governed by similar viral diffusion models?
Beyond worst-case: the rise of learning-augmented online algorithms
ESD Research Seminar by Themis Gouleakis – Online algorithms are traditionally analysed in adversarial worst-case settings, leading to guarantees that often fail to capture practical performance. The emerging framework of learning-augmented algorithms integrates machine-learned predictions into online decision making while preserving rigorous guarantees.
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.
Causal optimal transport for stochastic processes
ESD Research Seminar by Daniel Bartl – Prof Bartl 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.