VIII International Conference«Engineering & Telecommunication — En&T-2021»
About the conference
Moscow Institute of Physics and Technology (Russia), Competence Center of Artificial Intelligence (Russian National Technological Initiative), Institute of Electrical and Electronics Engineers IEEE (USA), the world’s greatest engineering professional association with 130-year history, Tsinghua University (China), Dalian University of Technology (China), Indian Institute of Information Technology (India) and PhysTech-Union (Russia) hold the VII international conference «Engineering and Telecommunication – En&T-2021».
Date: November 24-25, 2021
Technical sponsorship provided by Moscow IEEE section and ED/MTT Moscow Chapter.
Chair: Vadim Kaloshin
Conference Program includes the following sections:
- Telecommunication technology 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.
- 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.
- Computing Technologies and Systems
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.
- 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.