Kaan Aykurtمشاهده پروفایل
پژوهشگر
- Data Center Networks
- Autonomous Network Management
- Machine Learning Applications in Networking
- +۳ مورد دیگر
Kaan Aykurt is a Researcher at the Department of Communication Networks within the College of Engineering at Technical University of Munich (TUM) , where he works under the supervision of Prof. Wolfgang Kellerer. He joined TUM in May 2022 after completing his M.Sc. and holds dual B.Sc. degrees in Electrical and Electronics Engineering and Economics from Koç University, Istanbul. B.Sc. Electrical & Electronics Engineering (Koç University, 2019) B.Arts Economics (Koç University, 2019) M.Sc. Technical University of Munich (2022) Kaan's research focuses on data center networks , multi-domain autonomous network management , and machine learning applications in communication networks . His work explores graph neural networks (GNNs) for network optimization, large language model benchmarks for network configuration, and TCP behavior in reconfigurable environments. Key projects include netLLMBench, HyPA autoscaling, and digital twin systems. Recent publications span GNN-based management for 6G networks (2023), TCP performance in dynamic data centers (2023), and ML framework traffic analysis (2021). His work often intersects AI-driven networking , automated resource allocation , and network protocol evaluation . Collaborations include researchers from Northeastern University and University of Augsburg. As a research associate, Kaan contributes to the Chair of Communication Networks 's initiatives in autonomous systems and network intelligence. His work aligns with broader projects like 6G Future Lab Bavaria and DFG-funded research at TUM.









