Prof Berk Canberk

Biography	Berk Canberk (Senior Member, IEEE) is a Full Professor at Edinburgh Napier University, UK. His research focuses on AI-powered Digital Twins, IoT communication, and Smart Wireless Networks, spanning Technology Readiness Levels (TRL) 1 to 6. As a leading expert in Digital Twin technologies, he specializes in real-time synchronization, AI-driven orchestration, and semantic communication frameworks. He leads the Broadband Communication Research Group (www.bcrg.uk), where he currently supervises 1 postdoctoral researcher, 5 PhD students, 2 BSc students, and 2 research associates. He has previously supervised 7 PhD and 20 MSc graduates. His publication record includes more than 87 journal articles, 96 conference papers, and 10 patents, of which 40 journal articles, 32 conference papers, and 6 patents are specifically focused on Digital Twins. Since 2020, he has secured over £1.5M in research funding as Principal Investigator. He serves as Lead Editor of the IEEE ComSoc Best Readings in Digital Twins and as Area Editor for IEEE Communications Surveys and Tutorials. He has also served as Associate Editor for IEEE Transactions on Vehicular Technology, Elsevier Computer Networks, and IEEE Communications Letters, and has taken on key roles as General Chair, TPC Chair and Organizing Committee Member at several IEEE conferences. Prof. Canberk is also an External Board Member and Academic Advisor to BTS Group, Turkey’s largest network automation and cloud computing company. Prior to his current position, he was a Full Professor at Istanbul Technical University (ITU), where he served as Associate Professor (2016–2021) and Full Professor (2021–2022) in the Department of Computer Engineering. He was previously a Postdoctoral Researcher at the Georgia Institute of Technology, USA. He holds a PhD in Computer Science from ITU, an MSc in Telecommunications Engineering from Chalmers University of Technology, Sweden, and a BSc in Electrical Engineering from ITU.
Research Interests	AI-enabled Digital Twins, IoT Communication, Smart Wireless Networks

Biography

Berk Canberk (Senior Member, IEEE) is a Full Professor at Edinburgh Napier University, UK. His research focuses on AI-powered Digital Twins, IoT communication, and Smart Wireless Networks, spanning Technology Readiness Levels (TRL) 1 to 6. As a leading expert in Digital Twin technologies, he specializes in real-time synchronization, AI-driven orchestration, and semantic communication frameworks. He leads the Broadband Communication Research Group (www.bcrg.uk), where he currently supervises 1 postdoctoral researcher, 5 PhD students, 2 BSc students, and 2 research associates. He has previously supervised 7 PhD and 20 MSc graduates. His publication record includes more than 87 journal articles, 96 conference papers, and 10 patents, of which 40 journal articles, 32 conference papers, and 6 patents are specifically focused on Digital Twins. Since 2020, he has secured over £1.5M in research funding as Principal Investigator. He serves as Lead Editor of the IEEE ComSoc Best Readings in Digital Twins and as Area Editor for IEEE Communications Surveys and Tutorials. He has also served as Associate Editor for IEEE Transactions on Vehicular Technology, Elsevier Computer Networks, and IEEE Communications Letters, and has taken on key roles as General Chair, TPC Chair and Organizing Committee Member at several IEEE conferences. Prof. Canberk is also an External Board Member and Academic Advisor to BTS Group, Turkey’s largest network automation and cloud computing company. Prior to his current position, he was a Full Professor at Istanbul Technical University (ITU), where he served as Associate Professor (2016–2021) and Full Professor (2021–2022) in the Department of Computer Engineering. He was previously a Postdoctoral Researcher at the Georgia Institute of Technology, USA. He holds a PhD in Computer Science from ITU, an MSc in Telecommunications Engineering from Chalmers University of Technology, Sweden, and a BSc in Electrical Engineering from ITU.

Research Interests

AI-enabled Digital Twins, IoT Communication, Smart Wireless Networks