Faculty Bulletin 2024

Read More

6G Enabled Digital Twin Networks by Prof. Dr. Berk Canberk

by Fahrettin Ay | Oct 25, 2021
Prof. Dr. Berk Canberk will give a seminar at the TechTalk event to be held by Microsoft in Copenhagen on Thursday, October 28th.
Prof. Dr. Berk Canberk from Department of Artificial Intelligence and Data Engineering will give a talk titled “6G Enabled Digital Twin Networks” TechTalk of Microsoft Development Copenhagen online at 14:30-15:30 UTC+02 on Thursday, October 28.  

tech_talk_connected_intelligence__28Oct2021
About the event:
With the tremendous advances in the upcoming 6G era, the world enters an age of connected intelligence. This will enable real-time Digital Twin deployments with specific integrated features such as seamless automation and control, augmented reality/virtual reality, visualization, and more connected devices per square kilometer. This new knowledge-based era of the 6G vision needs seamless control systems, fully automated management, artificial-intelligence enabled communication, well-bred computing methodologies, self-organizing behaviors, and high-end connectivity. Here, the importance of Digital Twins Network (DTN) based systems has become vital. Digital Twin Network (DTN) is the virtual representation of a Cyber-Physical System's network elements and dynamics. The use of DTN provides undue advantages such as resiliency, sustainability, real-time monitoring, control-tower-based management, thorough what-if analyses, an extremely high-performance simulation model for research, testing, and optimization. With these in mind, in this talk, first, a short recap of the ai-enabled digital twin concept and its potential market size in Industry 4.0 will be introduced. The technology behind DTN, such as the high precision virtual network modeling and edge intelligence for ultra-low latency, will then be described.  The reliability, latency, capacity, and connectivity issues in DTN will be discussed. Moreover, several application areas of DTN will also be underlined in terms of demand forecasting, warehouse automation, predictive maintenance, anomaly detection, risk assessment, intelligent scheduling, and control tower. Some important implementation areas of DTN such as Supply Chain Management, Smart Manufacturing, Sustainable Product Line Management, Healthcare, and Smart Cities will also be covered. 

More about the speaker:
Prof. Berk Canberk is a Professor with the Department of Artificial Intelligence and Data Engineering at Istanbul Technical University (ITU) and an Adjunct Professor in the Electrical and Computer Engineering Department at Northeastern University. He is also the vice-dean responsible for Research and Development in ITU Faculty of Computer and Informatics Engineering, and Director of ITU Artificial Intelligence and Data Science Research and Development Center.  His current research interests are in AI-enabled network control systems, automated cyber-physical systems, digital twin networks and 6G networks In his research group named Broadband Communication and Network Automation Research Group (BCRG) (http://bcrg.itu.edu.tr/), he leads the research activities over these highly interdisciplinary fields currently supervising 8 PhD and 4 MSc students. He has supervised over 13 MS students; and 4 PhD students. His research has so far been funded by the Turkish Scientific and Technological Research Council of Turkey, Royal Academy of Engineering (UK) NEWTON Research Collaboration, Turkish Telekom, several Turkish IT Companies and many others. He is an IEEE Senior Member and he acts as an editor for IEEE Transactions on Vehicular Technology, Computer Networks Journal (Elsevier) and Communication Networks Journal (Elsevier). He is involved in several conferences as TPC chair and member including IEEE INFOCOM, IEEE ICC, IEEE GLOBECOM, and in organizing committees of many other conferences.   

İTÜ Faculty of Computer and Informatics Engineering

bf-hakkimizda
Computer engineering education in Istanbul Technical University started in 1980 as a program under the Department of Control and Computer Engineering Department. In order to keep up with the contemporary developments, Computer Engineering was reshaped as a separate department under the same faculty. All related programs and departments were transferred to the new Faculty of Computer and Informatics Engineering in 2010.

  • Click here for ITU Computer Engineering Department's website.
  • Click here for ITU Artificial Intelligence and Data Engineering Department's website.

Faculty of Computer and Informatics Engineering- Telephone +90 (212) 285 77 15 

Faculty of Computer and Informatics Engineering- Address İTÜ Ayazaga Campus, 34469, Maslak/Istanbul

İTÜ Information Technologies Directorate ©