van der Schaar Lab

Mihaela van der Schaar to introduce key COVID-19 initiatives at ICME 2020

ICME 2020

Mihaela van der Schaar will deliver a keynote at the 2020 International Conference on Multimedia and Expo (ICME) hosted by IEEE, which will take place from July 6 through 10.

Mihaela’s presentation is scheduled for July 7 at 17:30 British summer time, and is entitled “A nationally-implemented AI solution for Covid-19: addressing capacity planning, risk assessment, treatment effects and outcomes.” In her talk, Mihaela will highlight the development and implementation of two of the van der Schaar Lab’s particularly impactful projects addressing the ongoing COVID-19 pandemic.

Cambridge Adjutorium and NHS partnership

On April 21, the van der Schaar Lab and NHS Digital announced a partnership to begin trials of Cambridge Adjutorium,  a prediction system driven by a state-of-the art machine learning model, at a number of Acute Trusts in England.

Cambridge Adjutorium can provide aggregated predictions for hospitals, which could significantly help improve capacity planning for healthcare systems in response to COVID-19. The system uses its underlying predictive models to provide accurate near-term projections of the likely demand on hospital resources such as ICU beds and ventilators. These projections are shown to healthcare decision-makers in an easy-to-interpret and actionable format.

A demo for Cambridge Adjutorium is available here.

Policy Impact Predictor

On June 9, the lab announced the development of Policy Impact Predictor (PIP), an advanced machine learning tool developed to guide government decision-making around measures to prevent the spread of COVID-19.

In addition to accurately modeling COVID-19 mortality trends for 170 countries under their current policy sets, PIP can adaptively tailor forecasts to show the potential impact of specific policy changes, such as reopening schools or workplaces, allowing international travel, or relaxing stay-at-home requirements. Unlike other spread models, PIP is able to tackle “What if?” policy questions looking into the future and the past. For example, PIP can estimate what would have happened if Italy’s government had waited a week before imposing lockdown measures, or predict what would happen if India were to loosen all existing spread prevention policies.

Mihaela’s ICME 2020 keynote will be one of 4 delivered at the conference; her fellow speakers are Prof. Alan Smeaton (Professor of Computing, Dublin City University), Prof. Susanne Boll (Professor of Media Informatics & Multimedia Systems, University of Oldenburg), and Dr. Peyman Milanfar (Principal Scientist and Director, Google Research).

ICME has been the flagship multimedia conference sponsored by four IEEE societies since 2000. It aims at promoting exchange of the latest advances in multimedia technologies, systems, and applications from both the research and development perspectives of the circuits and systems, communications, computer, and signal processing communities. ICME attracts well over 1000 submissions and 500 participants each year, serving as the prime forum for the dissemination of knowledge in the multimedia field.

Due to the ongoing COVID-19 pandemic, this year’s event will be held virtually. Registration fees will be waived for all non-author registrants who do not cover accepted papers.

For more info on ICME 2020, visit the event homepage.

Other upcoming keynotes and tutorials by Mihaela van der Schaar

Mihaela will deliver a tutorial at the 2020 Machine Learning Summer School (MLSS) to be hosted by the Max Planck Institute for Intelligent Systems from June 28 through July 10. More information can be found here.

Mihaela be giving a tutorial at the 2020 International Conference on Machine Learning (ICML), along with keynote presentations in 2 different workshops, as mentioned previously here. ICML will be held from July 12 through 18.

She will also be presenting 3 lectures at the 3rd Advanced Course on Data Science & Machine Learning (ACDL2020) from July 13 through 17.

From August 17 through 25, Mihaela will be a speaker at the Oxford Machine Learning Summer School 2020 (OxML.2020).

Nick Maxfield

Nick Maxfield

Nick oversees the van der Schaar Lab’s communications, including media relations, content creation, and maintenance of the lab’s online presence.

Nick studied Japanese (BA Hons.) at the University of Oxford, graduating in 2012. Nick previously worked in HQ communications roles at Toyota (2013-2016) and Nissan (2016-2020).

Given his humanities/languages background and experience in communications, Nick is well-positioned to highlight and explain the real-world impact of research that can often be quite esoteric. Thankfully, he is comfortable asking almost endless questions in order to understand a topic.