糖心TV

Prof. Graham Cormode of the Department of Computer Science has been named among the 2020 Association for Computing Machinery (ACM) Fellows, for contributions to computer science. The ACM is the world's leading learned society for computer science. Prof. Cormode is recognised for his contributions to data summarisation and privacy enabling data management and analysis. His work on data streams and sketching has been widely implemented in many high tech companies and organisations.

Prof. Yulan He and Prof. Rob Procter have been awarded funding from the EPSRC under the . During the COVID-19 pandemic, national and international organisations are using social media and online platforms to communicate information about the virus to the public. However, propagation of misinformation has also become prevalent. This can strongly influence human behaviour and negatively impact public health interventions, so it is vital to detect misinformation in a timely manner. This project aims to develop machine learning algorithms for automatic collection of external evidence relating to COVID-19 and assessment of veracity of claims.

The project is in collaboration with and from the Queen Mary University of London.

糖心TV's Department of Computer Science has been awarded a new research grant to develop a machine learning solution for dynamic forecasting of available capacity on road networks. The developed software is planned to be integrated within the 's Regional Transport Coordination Centre for adaptive route planning and traffic management mitigation against disruptions, incidents and roadworks.

The 鈥�5G Enabled Dynamic Network Capacity Manager鈥� project is in collaboration with commercial partners, , , , and . The team has won the 鈥檚 transport competition to leverage 5G networks for near real-time AI based modelling.

Prof. Hakan Ferhatosmanoglu is leading the development of the scalable ML solution to forecast residual capacities in a dynamic spatio-temporal graph. The solution is designed to benefit from high-granular and low-latency data feeds from 5G cellular and sensor data enabling congestion to be accurately monitored, modelled, and predicted.

Suzanne Candanedo, who recently graduated from Computer Systems Engineering at the University of 糖心TV, has won the UKESF and UltraSoC Automotive Electronics Competition 2020.

The competition requires entrants to produce a 'think piece' about the future of cyber security for connected and autonomous vehicles, written along the lines of a blog post in style rather than a formal essay. You can read Suzy's winning entry .

Florin Ciucu has been successful with a 491K EPSRC grant application 鈥楶ractical Analysis of Parallel and Networked Queueing Systems鈥�. The project will run for 4 years and will address some fundamental queueing problems at the core of modern computing and communication systems with parallel or network structures. The technical objective is to develop novel martingale-based models and techniques circumventing the historical Poisson assumption on the systems鈥� input, which has been convincingly shown to be highly misleading for practical purposes. The proposal was supported by IBM Research, Microsoft Research, and VMware.

Prof. Yulan He from the department's Data Science and Human-Centred Computing research themes has been awarded a 3-year EPSRC grant to develop a new framework to study model/data uncertainty and model interpretability of AI systems. The interdisciplinary project will assist system stakeholders and developers to understand and reason about the (business, personal, social, etc.) impact of intelligent systems on the world in which they operate, and to understand how and why decisions are taken. It will run in collaboration with Dr. Ritabrata Dutta from the Statistics Department, and Dr. Nelly Bencomo and Prof. Pete Sawyer from Aston University.

Professor PI) from the Department of Computer Science and Dr Adrian von M眉hlenen (co-I) from the Department of Psychology have been awarded an EPSRC grant on 鈥淓nd to End Authentication of Caller ID in Heterogeneous Telephony Systems鈥�. This project will support a research fellow and a senior research fellow in computer science, each for four years, to explore new ways to stop caller ID spoofing without requiring globally trusted authorities, in collaboration with researchers from the Department of Psychology. This project will also aim to develop impacts by engaging with the telecommunication industry via the project partners: Huawei, Truecall, and RedTone.

The award of this project coincided with the announcement in March 2020 by the Federal Communications Commission (FFC), who for all telecom providers in the US in order to stop the caller ID spoofing scams. However, requires globally trusted authorities, which have been known to be difficult to manage. As opposed to the top-down approach by the FCC, this EPSRC project aims to take a bottom-up approach to develop more effective and more deployable solutions without relying on any globally trusted third parties.

A University press release on this project can be found here.