Zoomposium 26: 15 February 2022

Published: 4 February 2022

Dr Jethro BROWELL: ‘Forecasting for decision-marking under uncertainty’ Dr Gramoz GORANCI:‘Novel Algorithmic Frameworks for Dynamic Problems on Graphs’ Dr Sakineh FOTOUHI: ‘Next generation of high-performance impact resistant composites with visibility of damage’

Watch Zoomposium 26  (Passcode: qBf.3&?&)


Forecasting for decision-marking under uncertainty

Dr Jethro Browell, School of Mathematics & Statistics

We are surrounded by predictions and forecasts; you’ve probably heard, and maybe made, several predictions already today. But as we’re all too aware, forecasts are rarely perfect. The future is uncertain and whether you’re deciding if you should pack an umbrella, or how many doctors to schedule for the next shift in A&E, our decisions are informed by perceptions of uncertainty and appetite for risk. In these five minutes, I will introduce probabilistic forecasts, those that quantify uncertainty, and show how these can help us all make better decisions using examples from the energy and health sectors. Most of my work has focused on applications in the energy sector, but I’d love to hear from potential collaborators in any field.


Novel Algorithmic Frameworks for Dynamic Problems on Graphs’

Dr Gramoz Goranci, School of Computing Science

With the emergence of large data sets and the need to understand them, there has been an ever-growing interest in the design and analysis of fast algorithms. In classic algorithm design, the input data is revealed upfront, and the goal is to design algorithms that run in time close to linear with respect to the input size. However, in my real-world graph mining applications such as routing in road networks, robustness detection in communication networks, and community discovery in social networks, data is subject to frequent changes. This motivates the study of dynamic graph algorithms; data structures that maintain relevant graph information under edge/vertex updates while avoiding recomputations from scratch after each update. In this talk, I will describe two novel algorithmic frameworks for designing provable dynamic graph algorithms: (i) vertex sparsification and (ii) tree-based graph approximations


Next generation of high-performance impact resistant composites with visibility of damage

Dr Sakineh Fotouhi, James Watt School of Engineering

I am currently leading a high-profile EPSRC funded project on smart composites. Composites are truly the materials of the future but currently susceptible to catastrophic failure hence essential task in the inspection of composites is required. In this talk, I will discuss some of the challenges facing composites’ inspection and how my project provides a step-change in composite performance together with reduced design and maintenance requirements, and longer service life. This novel area of research provides excellent multidisciplinary research collaboration between the James Watt School of Engineering research divisions as well as external academic and industrial research groups.


First published: 4 February 2022