Moscow Institute of Physics and Technology (Russia) supported by Institute of Electrical and Electronics Engineers IEEE (USA), the world’s greatest engineering professional association with 130-year history, Tsinghua University (China), Czestochowa University of Technology (Poland), Polish Neural Network Society (Poland), Indian Institute of Information Technology (India) and PhysTech-Union (Russia) hold the 6th international conference «Engineering and Telecommunication – En&T-2019».

Page at IEEE site

Date: 20-21 November

Technical sponsorship provided by Moscow IEEE section and ED/MTT Moscow Chapter.
Chair: Vadim Kaloshin

Chairman of the Program Committee: Prof. Alexander Dvorkovich, MIPT, Russia
Head of Organizing Committee: Prof. Sergey Garichev, MIPT, Russia

Conference Program includes 4 following Sections:

  1. Telecommunication technologies and IT
    Wireless data transmission systems and networks. Optical fiber networks and technologies. Software-defined networks and virtualization of the network features. Information security in the data transmission networks and network coding. Multimedia and telecom services, including the ones for e-learning.
  2. Radio communication and radiolocation systems
    New technologies in the field of radio communications and radiolocation. Broadband satellite and mobile communications. Radio communications and broadband access in the Arctic. Satellite Internet of things. Vehicle-based radio communication systems. On-board radiolocation systems and devices . UHF devices and antennas. Transceiving and channel-forming hardware and equipment. Future radiomaterials.
  3. Computing Technology and System
    Architecture of supercomputers and specialized real-time computer systems. Hardware accelerators. Virtual computation media. General system software. Application software development tools and technologies. Visual programming. Use of computer systems in industrial, government and military industry sectors.
  4. Artificial intelligence systems
    AI systems. Pattern recognition systems. Neural networks. Deep learning networks. Hardware implementation of neural networks and neurocomputers. Data analysis systems. Data mining and Big data systems. Decision making and decision making support systems. Biologically inspired control systems. Adaptive control systems. Applied systems with AI.

Working languages: English and Russian.

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