معرفی
Sergey Andreev is a Professor at the Faculty of Information Technology and Communication Sciences, Tampere University, where he holds a position in the Department of Electrical Engineering. His research focuses on advanced wireless communication systems, particularly in 5G/6G networks, mmWave technologies, UAV-based networks, and machine learning-driven network optimization. He is actively involved in projects addressing energy efficiency, resource allocation in heterogeneous networks, and the integration of non-terrestrial networks (NTNs) with terrestrial infrastructure. His work emphasizes practical applications such as extended reality (XR) communication, industrial IoT, and reliable service continuity in challenging environments.
Andreev's recent publications highlight breakthroughs in federated learning for edge computing, delay-aware scheduling in integrated access and backhaul (IAB) systems, and the deployment of UAVs for enhancing urban network coverage. His contributions span theoretical frameworks to experimental validations, leveraging tools like ray tracing, digital twins, and reinforcement learning. He has also explored the interplay between user behavior and network performance in immersive applications, emphasizing real-world scalability and sustainability.
His research often combines interdisciplinary approaches, such as merging machine learning with traditional signal processing techniques to tackle complex network challenges. While no specific awards are listed, his prolific publication record underscores his influence in the field. He has advised numerous projects but no formal student names are provided in the texts. His labs and teams likely focus on cutting-edge 6G research, though specific lab names are not mentioned.
