ERC grantee Dr Kazuya Koyama, originally from Japan, tests gravity, specifically whether Albert Einstein’s general theory of relativity can be applied beyond our solar system. At present general relativity works in our galaxy but is less convincing at the far borders of our universe which is rapidly expanding and needs weird energy to explain this. Dr Koyama is hoping that observations in deep space will show that the theory can be modified to work on a larger scale so that this strange 'dark energy' is not needed – removing one of cosmology's biggest mysteries.
On the occasion of the signing of a new agreement with the Japanese Science and Technology Agency to encourage top Japanese researchers to temporarily join ERC-funded teams in Europe, the ERC interviewed Dr Kazuya Koyama about his international career and how he believes this helps strengthen scientific partnerships between researchers in Europe and Japan.
The amount of currently available biomedical data is overwhelming. Large databases exist at different scales, from genes, to proteins, to patients' histories. But what do scientists do with all this information? Serbian-born Professor Nataša Pržulj, from University College London, works with Big Data to establish patterns and gain knowledge that could revolutionise how we treat diseases.
Originally published in May 2015
Updated in July 2018
With an aging population, Europe sees a rapid increase in the number of people affected by visual disorders requiring surgical intervention. Building on the recent advances in robotic assistance in surgery as well as in precisely targeted drug delivery therapies, Prof. Bradley Nelson has designed innovative microrobotics tools to overcome the particular difficulty of manual-performed eye surgery.
Everyone who has ever been stuck in traffic knows how frustrating and time-wasting it can be. ERC grantee Carlos Canudas de Wit is working on a global approach to improve traffic management systems using the new technologies and innovations that have not yet been fully exploited.
Travellers already benefit from applications harnessing data from sensor networks and smartphone users. They calculate alternative routes, help plan carpooling routes, or support the optimisation of public transport. With her ERC grant, Prof. Vana Kalogeraki works on a comprehensive software framework that will simplify the development of such mobile human-centred systems and make them more predictable and reliable.
The EU-funded HYMAGINE project has combined conventional electronic transistors with new magnetism-based ‘spintronic’ devices to improve information processing speeds and reduce energy consumption.
In an early application of a new discovery in semiconductor physics, EU-funded researchers have developed a silicon infrared detector that is simpler and cheaper than conventional detectors. The ultimate goal is a silicon-based laser.
Imagine your favourite football team entering a stadium. An army of wireless cameras is following the players to give you the best possible view – of the whole pitch, of the chanting crowd, of each footballer, from the tip of his head to the grass blades he treads with his cleats. Thanks to Prof. Leif Oxenløwe’s research, this kind of wireless ultra-high definition television broadcasting can one day become a reality.
Is a precise answer always better than a slightly less detailed one? Not necessarily. Some problems could take forever to compute and tie up vast IT capacity. Where solutions are needed urgently, e.g. in business or manufacturing, near-enough can be more than enough. ERC-funded research has produced a library of fast, powerful approximation algorithms.
We are nowadays in the middle of the second quantum revolution. The first one brought forward the rules that govern physics at the atomic level – the quantum mechanics. The second entails the use of these rules for developing new technologies. In his ERC-funded project, Prof. Andris Ambainis from the University of Latvia investigates new methods of developing quantum algorithms and the limits of quantum computing.
