معرفی
Mustafa Özger is a Tenure Track Assistant Professor at the Department of Electronic Systems within the Technical Faculty of IT and Design at Aalborg University, Denmark. His research focuses on advanced communication systems, including 6G networks, non-terrestrial networks (NTN), unmanned aerial vehicles (UAVs), cognitive radio systems, and ultra-reliable low-latency communication (URLLC). He has contributed significantly to edge computing and networking, with a particular emphasis on integrating sensing capabilities with communication systems. His work also addresses challenges in network architecture design, handover management, and deep reinforcement learning applications for improving connectivity and reliability.
Key research interests include airspace and network integration for future communication systems, signal classification using neural networks, and low-latency solutions for multi-connectivity scenarios. He has published extensively, with over 73 peer-reviewed articles since 2013, covering topics from cognitive radio networks to satellite constellations. His research often explores the intersection of machine learning and communication systems, with practical applications in IoT, vehicular networks, and underwater acoustic communications.
Özger’s recent work highlights his leadership in emerging 6G technologies, particularly in adaptive network architectures that combine terrestrial and non-terrestrial elements. He has also pioneered methods for minimizing handover delays in NTN environments using Open RAN functional splits and developed denoising techniques for localization systems using autoencoder algorithms.
