X International Conference
«Engineering & Telecommunication — En&T-2023»

About the conference

Moscow Institute of Physics and Technology (Russia), Tsinghua University (China), LLC CETS «Exponenta» and PhysTech-Union (Russia) hold the X international conference «Engineering and Telecommunication – En&T-2023».

Dates: November 22-23, 2023
Place: November 22 - Fiztech.Tsifra buiding (room 4.18); November 23 - Fiztech.Arctic buiding (according to the program)
 Zoom Conference 23.11.2023

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

Conference Program includes the following sections:

  1. Telecommunication technologies and networks
    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 radar systems
    New technologies in the field of radio communications and radar systems. Broadband satellite and mobile communications. Radio communications and broadband access in the Arctic region. Satellite Internet of things. Vehicle-based radio communication systems. Onboard radar systems and devices. UHF devices and antennas. Transceiving and channel-forming hardware and equipment. Computing complexes and software-algorithmic support for radio systems. Electrodynamics. Future radiomaterials.
  3. Computer systems and data processing
    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) in telecommunications
    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 - Russian and English.