Berk Canberk
berk canberk

Prof Berk Canberk

Professor

  B.Canberk@napier.ac.uk

  

Biography

Dr. Berk Canberk is a Professor in the School of Computing, Engineering and The Built Environment. He received his PhD in Computer Science from Istanbul Technical University (ITU) Turkey in 2011, his MSc in Telecommunications Engineering from the Chalmers University of Technology Sweden in 2005, and his BSc in Electrical Engineering from ITU in 2003. He has been a Post-Doctoral researcher at Georgia Institute of Technology USA between 2011-2013. He’s been an Adjunct Professor within the Department of Electrical and Computer Engineering at Northeastern University USA since 2017, and Professor within the Department of Artificial Intelligence and Data Engineering at Istanbul Technical University since 2021. His research areas are AI-enabled Digital Twins, IoT Communication, and Smart Wireless Networks. In his research group named Broadband Communication and Network Automation Research Group (BCRG) in ITU, he leads the research activities in these highly interdisciplinary fields, supervising 8 PhD and 4 MSc students. So far, he has supervised 15 MSc students; and 4 PhD students who are now all tenure-track professors. He has published 52 journal papers (35 in Q1 quartile, 6 in Q2 quartile, and 11 are Q3+Q4 quartiles), 51 conference papers, 2 books, 4 book chapters, and 2 approved US patents. He is an IEEE Senior Member, and he acts as an Associate Editor for IEEE Transactions on Vehicular Technology (Q1), Elsevier Computer Networks Journal (Q1), and Elsevier Communication Networks Journal (Q1). He’s actively involved in several prestigious conferences as TPC chair and member, including IEEE INFOCOM, IEEE ICC, and IEEE GLOBECOM, and in organizing committees of many other conferences.

School

Themes

Research Areas

Events

Esteem

Editorial Activity

  • Area Editor in ELSEVIER Computer Communications (2016-Present)
  • Area Editor in ELSEVIER Computer Networks (2014-Present)
  • Area Editor in IEEE Transactions on Vehicular Technology (2013-Present)

 

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7 results

Q-learning driven routing for aeronautical Ad-Hoc networks

Journal Article
Bilen, T., & Canberk, B. (2022)
Q-learning driven routing for aeronautical Ad-Hoc networks. Pervasive and Mobile Computing, 87, Article 101724. https://doi.org/10.1016/j.pmcj.2022.101724
The aeronautical ad-hoc network (AANET) is one of the critical methodologies to satisfy the Internet connectivity requirement of airplanes during their flights. However, the u...

Digital Twin for 6G: Taxonomy, Research Challenges, and the Road Ahead

Journal Article
Masaracchia, A., Sharma, V., Canberk, B., Dobre, O. A., & Duong, T. Q. (2022)
Digital Twin for 6G: Taxonomy, Research Challenges, and the Road Ahead. IEEE Open Journal of the Communications Society, 3, 2137-2150. https://doi.org/10.1109/OJCOMS.2022.3219015
The concept of digital twin (DT) is constantly revealing as a key enabling technology for the deployment of mobile communication services envisaged for the sixth-generation (6...

A Proof Of Concept On Digital Twin-Controlled WiFi Core Network Selection For In-Flight Connectivity

Journal Article
Bilen, T., Ak, E., Bal, B., & Canberk, B. (2022)
A Proof Of Concept On Digital Twin-Controlled WiFi Core Network Selection For In-Flight Connectivity. IEEE Communications Standards Magazine, 6(3), 60-68. https://doi.org/10.1109/MCOMSTD.0001.2100103
The in-flight connectivity (IFC) turns to a crucial need from luxury with technological advances. The WiFi-enabled IFC (W-IFC) meets most of this need by deploying access poin...

Digital Twin-Enabled Intelligent DDoS Detection Mechanism For Autonomous Core Networks

Journal Article
Yigit, Y., Bal, B., Karameseoglu, A., Duong, T. Q., & Canberk, B. (2022)
Digital Twin-Enabled Intelligent DDoS Detection Mechanism For Autonomous Core Networks. IEEE Communications Standards Magazine, 6(3), 38-44. https://doi.org/10.1109/MCOMSTD.0001.2100022
Existing distributed denial of service attack (DDoS) solutions cannot handle highly aggregated data rates; thus, they are unsuitable for Internet service provider (ISP) core n...

Enabling Self-Organizing TDMA Scheduling for Aerial Swarms

Conference Proceeding
Aydın, E. E., Kara, O., Cakir, F., Cansiz, B. S., Seçinti, G., & Canberk, B. (2022)
Enabling Self-Organizing TDMA Scheduling for Aerial Swarms. In DroNet '22: Proceedings of the Eighth Workshop on Micro Aerial Vehicle Networks, Systems, and Applications. https://doi.org/10.1145/3539493.3539584
With the proliferation of affordable VTOL drones, application domain of aerial swarms expands everyday, spanning from public drone art to offensive military operations. Orches...

DTWN: Q-learning-based Transmit Power Control for Digital Twin WiFi Networks

Journal Article
Çakır, L. V., Huseynov, K., Ak, E., & Canberk, B. (2022)
DTWN: Q-learning-based Transmit Power Control for Digital Twin WiFi Networks. EAI Endorsed Transactions on Industrial Networks and Intelligent Systems, 9(31), Article e5. https://doi.org/10.4108/eetinis.v9i31.1059
Interference has always been the main threat to the performance of traditional WiFi networks and next-generation moving forward. The problem can be solved with transmit power ...

Machine Learning-Based Digital Twin for Predictive Modeling in Wind Turbines

Journal Article
Fahim, M., Sharma, V., Cao, T., Canberk, B., & Duong, T. Q. (2022)
Machine Learning-Based Digital Twin for Predictive Modeling in Wind Turbines. IEEE Access, 10, 14184-14194. https://doi.org/10.1109/access.2022.3147602
Wind turbines are one of the primary sources of renewable energy, which leads to a sustainable and efficient energy solution. It does not release any carbon emissions to pollu...