Suzan Bayhan

Suzan Bayhan is an academic affiliated with the University of Twente in Enschede, The Netherlands. Her research focuses on edge computing, wireless networks, and cognitive radio systems, with a strong emphasis on energy efficiency and cross-technology communication. She has contributed significantly to the development of strategies for optimizing network performance, resource allocation in edge environments, and interference management in heterogeneous networks. Her work spans theoretical analysis and practical implementations, addressing challenges in cellular networks, federated learning, and smart infrastructure security. Bayhan has collaborated with leading institutions and researchers globally, contributing to conferences like MobiCom and SIGCOMM. Her doctoral studies at Boğaziçi University (Turkey) laid the foundation for her expertise in cognitive radio networks and spectrum management. While her current position isn't explicitly stated, her extensive publication record and academic contributions align with a senior researcher or faculty role.

Education:

• PhD in Electrical and Electronics Engineering, Boğaziçi University, Turkey (2012)
• Research focus: Spectrum Sharing and Energy Efficiency in Cognitive Radio Networks

Research Interests:

• Edge Computing and Federated Learning
• Energy-efficient networking strategies
• Interference mitigation in multi-technology systems
• Wireless communication protocols
• Cross-technology communication design

Advising & Grants: While specific grants aren't detailed in the provided texts, her involvement in collaborative projects (e.g., EdgeSys, NFDI4DataScience) suggests active participation in funded initiatives. No student advisees are explicitly listed.

Labs/Teams: Collaborates with interdisciplinary teams on edge computing and network research, including contributions to platforms like ExEC and Elastic Edge Cloud frameworks.