Address: 34 Tallinskaya Ulitsa, Moscow
Acting Director, Academic Supervisor
Andrey E. Abrameshin
Deputy Director for Academic Work
Deputy Dean for Research
Sergey A. Aksenov
MIEM HSE - Institute with 56 years of history, trains specialists for high-tech industries. Teaching staff MIEM includes 1 Academic of RAS, 4 Corresponding Member of RAS, 34 winner of the State Prize of the Russian Federation. Close ties with leading industry institutions: RAS institutes, international companies such as National Instruments, InfoWatch, Zyxel, QNAP, Altium Limited, as well as laboratories equipped with the latest : 3D visualization; laser technologies; telecommunications; cybersecurity - allow to prepare for specialists at the highest level.
The 7th Moscow International Forum ‘Open Innovations.’ which took place from October 15 – 17 in Skolkovo, included an exhibition on the results of research carried out by academic institutions, small enterprises and leading universities, including HSE.
Yevgeni Koucheryavy, Professor at the HSE , gave two presentations: ‘5G Technology and Industrial Internet of Things (IIoT) Demonstrator’ and ‘Industrial Internet of Things and Big Data in Smart Power Industry Demonstrator’ at the event.
The first project, ‘5G Technology and Industrial Internet of Things (IIoT) Demonstrator,’ concerns data transmission-coordinating software and hardware package. It can operate two and more channels simultaneously, relying on 5G and IIoT wireless technologies.
This can be applied, for example, in medicine. For instance, when ambulance is going down the street, there are sometimes situations when doctors need to urgently transmit medical information via communication channels. The information must be transmitted as precisely as possible, without any interference. WIth existing channels, such interference is quite common. Yevgeni Koucheryavy’s project will provide precise and timely data transmission.
The second project, ‘Industrial Internet of Things and Big Data in Smart Power Industry Demonstrator,’ is also a software and hardware package, which helps to cut down maintenance costs for batteries used on locomotives and electric lift trucks.
Today, specially trained staff and devices are needed to check the service life of batteries. In fact, batteries are checked quite rarely. Thanks to this project, it will be possible to equip batteries with indicators, which regularly transmit information on their condition to cloud databases, as well as predict their life span. Long-distance checks of industrial machines or other complex devices can be organized the same way.
The workshop ‘Developing Processing Systems for Big Data, Machine Learning, and Artificial Intelligence’ took place as part of the Open Innovations Forum. Prof. Yevgeni Koucheryavy delivered a presentation there on ‘AI in 5G, Fifth-generation Communication Systems and Services: We can go Without it, but Should We?’
‘The capacity of 5G networks is higher, and the delay is lower than in today’s 4G wireless networks’, Yevgeni Koucheryavy explained, adding: ‘For example, LTE’s speed is up to 1 Gb a second, while 5G is able to transmit data at 10 Gb per second. Quick access to information via 5G systems will help AI-supporting devices “comprehend” both the environment and the context of their work. This also helps to improve the quality of AI-based services and makes them more reliable in a wide range of situations. AI in 5G networks may become a key component of various complicated services, such as a driverless car.’
‘Prof. Yevgeni Koucheryavy is one of the most globally renowned experts in the development and implementation of new communication protocols and systems,’ commented Svetlana Maltseva, Head of the HSE School of Business Informatics, adding: ‘Practical use of 5G mobile networks will be on the agenda in the near future, and it’s important that our university’s scholars are actively working in this field’.