Events
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 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.
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.
Supporting automated vehicles from a distance: the human factor
ESD Research Seminar by Andreas Schrank – This talk will present Andreas’ approach of designing and evaluating human-machine interfaces for the remote operation of highly automated vehicles from a Human Factors perspective.
Beyond optimal methods for minimax optimisation
ESD Seminar by Chengchang Liu – This talk will introduce several novel methods that achieve even faster convergence rates or better computational complexities compared to various optimal methods by effectively incorporating curvature information and leveraging the min-max structure.