Konstantin Samouylov, Directoramct.rudn.ru/pdf/Presentation_AMCTI.pdf · fundamentals of artificial...

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Konstantin Samouylov, Director

Transcript of Konstantin Samouylov, Directoramct.rudn.ru/pdf/Presentation_AMCTI.pdf · fundamentals of artificial...

Page 1: Konstantin Samouylov, Directoramct.rudn.ru/pdf/Presentation_AMCTI.pdf · fundamentals of artificial intelligence, methods, and models for pre-processing and analyzing big data, machine

Konstantin Samouylov, Director

Page 2: Konstantin Samouylov, Directoramct.rudn.ru/pdf/Presentation_AMCTI.pdf · fundamentals of artificial intelligence, methods, and models for pre-processing and analyzing big data, machine

About

RUDN University International Expert Board Meeting

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Page 3: Konstantin Samouylov, Directoramct.rudn.ru/pdf/Presentation_AMCTI.pdf · fundamentals of artificial intelligence, methods, and models for pre-processing and analyzing big data, machine

Study Lines

B.Sc. Level (4 years)

• Fundamental Computer Science and

Information Technology

• Applied Mathematics and Informatics

• Mathematics and Computer Science

• Business Informatics

M.Sc. Level (2 years)

• Information Communications and

Intellectual Systems Control

• Probability Theory and Mathematical

Statistics

• Information and Communication

Technologies (double degree with

University of Pisa, under development)

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Ph.D. Level (3-4 years)

• Computer Science and

Engineering

• Computer and Information

Sciences

2018 – 130 graduates at B.Sc. & M.Sc. levels

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Erasmus+ with University of Pisa lunched in 2018

Page 4: Konstantin Samouylov, Directoramct.rudn.ru/pdf/Presentation_AMCTI.pdf · fundamentals of artificial intelligence, methods, and models for pre-processing and analyzing big data, machine

Research Areas

• Development of mathematical methods and models for

analyzing the performance measures of fifth (5G) and

next generation networks. Problems of mathematical

teletraffic theory and queuing theory

• Development of theoretical and technological

fundamentals for digital economy and an architecture of

emerging communications. Problems of Industrial Internet

of Things (IIoT) and Social Internet of Things (SIoT)

• Development of theoretical and technological

fundamentals of artificial intelligence, methods, and

models for pre-processing and analyzing big data,

machine learning, and systems of semantic data modeling

• Mathematical and computer modeling of nanodevices for

the development of information and communications

systems by irregular waveguide structures

• Mathematical and computer modeling of quantum

communications systems and quantum processors by

quantum-mechanical systems

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M.2083-02

Gigabytes in a second

Smart home/building

Voice

Smart city

3D video, UHD screens

Work and play in the cloud

Augmented reality

Industry automation

Mission critical application

Self driving car

Massive machine type

communications

Ultra-reliable and low latency

communications

Enhanced mobile broadband

Future IMT

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International Collaboration

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Model of Joint Research: Collaboration –King’s College London (KCL, UK), Tampere University of Technology (TUT, Finland), and RUDN University

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Petrov, V., Solomitckii, D., Samuylov, A., Lema, M.A., Gapeyenko, M., Moltchanov, D., Andreev, S., Naumov, V., Samouylov, K.,

Dohler, M., Koucheryavy, Y. Dynamic Multi-Connectivity Performance in Ultra-Dense Urban mmWave Deployments // (2017)

IEEE Journal on Selected Areas in Communications, 35 (9), art. no. 7959173, pp. 2038-2055.

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Page 7: Konstantin Samouylov, Directoramct.rudn.ru/pdf/Presentation_AMCTI.pdf · fundamentals of artificial intelligence, methods, and models for pre-processing and analyzing big data, machine

Model of Joint Research: Collaboration –King’s College London (KCL, UK), Tampere University of Technology (TUT, Finland), and RUDN University

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Model of Joint Research: Collaboration –King’s College London (KCL, UK), Tampere University of Technology (TUT, Finland), and RUDN University

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Page 9: Konstantin Samouylov, Directoramct.rudn.ru/pdf/Presentation_AMCTI.pdf · fundamentals of artificial intelligence, methods, and models for pre-processing and analyzing big data, machine

Model of Joint Research: Collaboration –King’s College London (KCL, UK), Tampere University of Technology (TUT, Finland), and RUDN University

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Page 10: Konstantin Samouylov, Directoramct.rudn.ru/pdf/Presentation_AMCTI.pdf · fundamentals of artificial intelligence, methods, and models for pre-processing and analyzing big data, machine

Research Projects

• Ministry of Science and Higher Education: Development of scientific bases and complex of probabilistic models for evaluation of efficiency and reliability of interaction of devices in wireless networks of the Internet of Things (IoT) (project leader Konstantin Samouylov), 2017-2019, 15 mln. rub.

• Ministry of Science and Higher Education: Development of complex mathematical models of the teletraffic theory for the researching of schemes for controlling access to resources of wireless next generation networks (project leader Yuliya Gaidamaka), 2017-2019, 15 mln. rub.

• Russian Foundation for Basic Research: multidisciplinary project - Set of Models and Algorithms for Resource Management in Heterogeneous Wireless Network with Mobile Objects for Digital Economy in Smart City (project leader Konstantin Samouylov), 2018-2020, 5 mln. rub. (1 of 3 projects under the umbrella Set of Technological and Socio-Economic Solutions for Design and Sustainable Development of Smart Urban Environment, project leader Konstantin Samouylov)

• Russian Foundation for Basic Research: project for yang scientists - Development of models and algorithms for analyzing wireless multiservice networks with LSA framework and random location of devices in space (project leader Ekaterina Markova), 2018-2019, 1 mln. rub.

• RUDN University Program 5-100: Computer modeling and numerical-analytical methods for studying complex physical and technical systems and information and communication technologies (project leader Vladimir Korenkov), 2018, 5 mln. rub.

• RUDN University Program 5-100: Development of a mathematical model of charge, energy and momentum transfer in graphene nanostructures by the quantum chain of kinetic equations BBGKY (project leader Yuriy Orlov), 2018, 1 mln. rub.

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Papers in Top 10% Journals in Mathematics (CiteScore)

1. Kovalchukov, R., Moltchanov, D., Samuylov, A., Ometov, A., Andreev, S., Koucheryavy, Y., Samouylov, K.

Analyzing effects of directionality and random heights in drone-based mmWave communication // (2018)

IEEE Transactions on Vehicular Technology, 67 (10), art. no. 8412525, pp. 10064-10069.

2. Mokrov, E., Ponomarenko-Timofeev, A., Gudkova, I., Masek, P., Hosek, J., Andreev, S., Koucheryavy, Y.,

Gaidamaka, Y. Modeling Transmit Power Reduction for a Typical Cell with Licensed Shared Access

Capabilities // (2018) IEEE Transactions on Vehicular Technology, 67 (6), pp. 5505-5509.

3. Efrosinin, D., Sztrik, J. An algorithmic approach to analysing the reliability of a controllable unreliable

queue with two heterogeneous servers // (2018) European Journal of Operational Research, 271 (3), pp.

934-952.

4. Dudin, A.N., Dudin, S.A., Dudina, O.S., Samouylov, K.E. Analysis of queueing model with processor sharing

discipline and customers impatience // (2018) Operations Research Perspectives, 5, pp. 245-255.

5. Churbanov, A.G., Iliev, O., Strizhov, V.F., Vabishchevich, P.N. Numerical simulation of oxidation processes in

a cross-flow around tube bundles // (2018) Applied Mathematical Modelling, 59, pp. 251-271.

6. Klimenok, V.I., Dudin, A.N., Samouylov, K.E. Analysis of the BMAP/PH/N queueing system with backup

servers // (2018) Applied Mathematical Modelling, 57, pp. 64-84.

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5G Lab RUDN

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Laboratory

Server Room

AR

Actuator

5G RAN

SDN

Controller

Sensors

IoT

Switch

IEEE 802.11ad

Selected Papers

• Muthanna, A., Ateya, A.A., Makolkina, M., Vybornova, A., Markova, E., Gogol, A., Koucheryavy, A. SDN multi-controller networks with load balanced // (2018) ACM International Conference Proceeding Series, art. no. 57.

• Ateya, A.A., Vybornova, A., Muthanna, A., Markova, E., Gudkova, I., Gogol, A., Koucheryavy, A. Key solutions for light limitations-Toward Tactile Internet system realization // (2018) ACM International Conference Proceeding Series, art. no. 58, .

• Khakimov, A., Gudkova, I., Ateya, A.A., Markova, E., Muthanna, A., Koucheryavy, A. IoT-Fog based system structure with SDN enabled // (2018) ACM International Conference Proceeding Series, art. no. 62, .

• Muthanna, A., Khakimov, A., Ateya, A.A., Paramonov, A., Koucheryavy, A. Enabling M2M communication through MEC and SDN //(2018) Communications in Computer and Information Science, 919, pp. 95-105.

Distributed Lab RUDN-TUT-BUT

• Tampere University of Technology (TUT), Finland

• Brno University of Technology (BUT), Czech Republic

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International Mobility

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N I N T H

I N T E R N A T I O N A L

W O R K S H O P O N

S I M U L A T I O N

June 25-29, 2018,

Barcelona, Spain

13th International Conference on

Dependability and Complex Systems

DepCoS-RELCOMEX 2018Brunow Palace POLAND

July 2 – July 6, 2018

20/11/2018

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Last Minute News –Best Paper Award

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RUDN is COST IRACON Member from 2018

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Events

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International Workshop on VR/AR over 5G for Smart

City Moscow

November 7, 2018, Moscow, Russia

Keynotes

University of Pisa (Italy), Cracow University of Technology (Poland), Manchester Metropolitan University (UK), University of Rome Tor Vergata (Italy), Aalborg University (Denmark), University of Helsinki (Finland), Alexander Technological Educational Institute of Thessaloniki (Greece), Free University Amsterdam (Netherlands), Carleton University (Canada), Mediterranea University of Reggio Calabria (Italy), University of Bern (Switzerland), University of Klagenfurt (Austria), Moscow Department of Information Technologies (Russia), JSC Electronic Moscow (Russia), Aalto University (Finland), University of Coimbra (Portugal), National Instruments

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Other Events

At RUDN University

• 3rd International School on Applied Probability Theory & Communications Technologies APTCT-2018:

lecturers – University of Pisa (Italy), Brno University of Technology (Czech Republic), Lomonosov Moscow

State University (Russia), Russian Academy of Sciences (Russia)

• 10-hour short lecture course: lecturers – Polytechnic University of Milan (Italy), University of Granada

(Spain), University of Genoa (Italy), University of Lisbon (Portugal), Tomsk State University (Russia)

At Our Partners’ Universities

• International Conference on Next Generation Wired/Wireless Advanced Networks and Systems

NEW2AN (Saint Petersburg, Russia): proceedings in Springer LNCS

• International Conference on Information Technologies and Mathematical Modelling named

after A.F. Terpugov ITMM (Tomsk, Russia): proceedings in Springer CCIS

• International School on Enabling Technologies, Applications, and Methods for Emerging 5G Systems

(Lisbon, Portugal)

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