معرفی
Ehsan Etezadi is a visiting researcher and doctoral student at Chalmers University of Technology, affiliated with the Department of Electrical Engineering (E2) and actively contributing to advancements in Optical Networks. His research focuses on Network Resource Allocation, Deep Reinforcement Learning, and Spectrum Management in Elastic Optical Networks. He has played a pivotal role in the PROTECT project (2021–2024), which addresses resilient and secure networks for critical infrastructures.
His recent publications demonstrate expertise in creating AI-driven solutions for spectrum defragmentation, programmable filterless optical network design, and impairment-aware resource allocation in multi-band environments. These works highlight his contributions to WDM Metro Network Optimization, Network Digital Twins, and Transport API Integration.
- Research Highlights
- Developing DeepDefrag - a reinforcement learning framework for spectrum defragmentation
- Advancing Filterless Optical Networks architecture
- Implementing AI-based Network Control via digital twins
- Addressing Joint Fragmentation and QoT Challenges
