Berk Canberk
berk canberk

Prof Berk Canberk

Professor

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.

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)

 

Date


41 results

Quantum Machine Learning for 6G Network Intelligence and Adversarial Threats

Journal Article
Nguyen, V.-L., Nguyen, L.-H., Hwang, R.-H., Canberk, B., & Duong, T. Q. (online)
Quantum Machine Learning for 6G Network Intelligence and Adversarial Threats. IEEE Communications Standards Magazine, https://doi.org/10.1109/MCOMSTD.2025.3575261
Quantum computing has been a major priority for several nations and prominent institutions in their pursuit of a transformative breakthrough in the fields of computation and e...

Digital Twin-Enabled Lightweight Attack Detection for Software-Defined Edge Networks

Presentation / Conference Contribution
Yigit, Y., Gursu, K., Al-Dubai, A., Maglaras, L. A., & Canberk, B. (2025, March)
Digital Twin-Enabled Lightweight Attack Detection for Software-Defined Edge Networks. Presented at IEEE Wireless Communications and Networking Conference (WCNC), Milan, Italy
With the development of software-defined edge networks, network management has become more flexible and realtime. However, this advancement has also led to critical security c...

Scenario Emulator for Intelligent Applications With IoT-DT Architecture

Presentation / Conference Contribution
Cakir, L. V., & Canberk, B. (2025, March)
Scenario Emulator for Intelligent Applications With IoT-DT Architecture. Presented at IEEE Wireless Communications and Networking Conference (WCNC), Milan, Italy
Digital Twins (DTs) have become indispensable in 6G for intelligent applications with real-time monitoring, modelling, and optimization. However, validating them in real-world...

Lightweight Authenticated Task Offloading in 6G-Cloud Vehicular Twin Networks

Presentation / Conference Contribution
Al-Shareeda, S., Ozguner, F., Redmill, K., Duong, T. Q., & Canberk, B. (2025, March)
Lightweight Authenticated Task Offloading in 6G-Cloud Vehicular Twin Networks. Presented at IEEE Wireless Communications and Networking Conference (WCNC), Milan, Italy
Task offloading management in 6G vehicular net-works is crucial for maintaining network efficiency, particularly as vehicles generate substantial data. Integrating secure comm...

Digital Twin-Based Collaborative Management for Energy-Aware 6G IoT Systems

Presentation / Conference Contribution
Duran, K., & Canberk, B. (2025, March)
Digital Twin-Based Collaborative Management for Energy-Aware 6G IoT Systems. Presented at IEEE Wireless Communications and Networking Conference (WCNC), Milan, Italy
Even though the emergence of 6G IoT systems has accelerated the deployment of hyper-connected networks, the inherent resource limitations of IoT sensors remain a significant p...

Ransomware: Analysis and Evaluation of Live Forensic Techniques and the Impact on Linux Based IoT Systems

Presentation / Conference Contribution
Korac, S., Maglaras, L., Moradpoor, N., Kioskli, K., Buchanan, W., & Canberk, B. (2025, June)
Ransomware: Analysis and Evaluation of Live Forensic Techniques and the Impact on Linux Based IoT Systems. Presented at IEEE DCOSS-IoT 2025, Tuscany (Lucca), Italy
Ransomware has been predominantly a threat to Windows systems. But, Linux systems became interesting for cybercriminals and this trend is expected to continue. This endangers ...

ARSecure: A Novel End-to-End Encryption Messaging System Using Augmented Reality

Presentation / Conference Contribution
Alsop, H., Alsop, D., Solomon, J., Aumento, L., Butters, M., Millar, C., Maglaras, L., Yigit, Y., Moradpoor, N., & Canberk, B. (2025, June)
ARSecure: A Novel End-to-End Encryption Messaging System Using Augmented Reality. Poster presented at IEEE DCOSS-IoT 2025, Tuscany (Lucca), Italy
End-to-end encryption (E2EE) ensures that only the intended recipient(s) can read messages. Popular instant messaging (IM) applications such as Signal, WhatsApp, Apple's iMess...

Digital Twin-assisted AI-driven Security Framework for 6G LEO Satellite Networks

Presentation / Conference Contribution
Yigit, Y., Gursu, K., & Canberk, B. (2025, June)
Digital Twin-assisted AI-driven Security Framework for 6G LEO Satellite Networks. Presented at IEEE International Conference on Communications (ICC), Montreal, Canada

Time-Constrained Synchronization Protocol for Digital Twins over mMTC-enabled 6G Networks

Presentation / Conference Contribution
Cakir, L. V., Duran, K., Thomson, C. J., & Canberk, B. (2025, June)
Time-Constrained Synchronization Protocol for Digital Twins over mMTC-enabled 6G Networks. Presented at IEEE International Conference on Communications (IEEE ICC), Montreal, Canada

WIND: A Wireless Intelligent Network Digital Twin for Federated Learning and Multi-Layer Optimization

Journal Article
Singh, S. K., Comsa, I.-S., Trestian, R., Cakir, L. V., Singh, R., Kaushik, A., Canberk, B., Shah, P., Kumbhani, B., & Darshi, S. (in press)
WIND: A Wireless Intelligent Network Digital Twin for Federated Learning and Multi-Layer Optimization. IEEE Communications Standards Magazine,
The forthcoming wireless network is expected to support a wide range of applications, from supporting autonomous vehicles to massive Internet of Things (IoT) deployments. Howe...

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