DeepDefrag: A deep reinforcement learning framework for spectrum defragmentation. - Ehsan Etezadi; Carlos Natalino; Renzo Diaz; Anders X. Lindgren; Stefan Melin; Lena Wosinska; Paolo Monti 001; Marija Furdek (GLOBECOM, 2022)

Latency-aware service provisioning in survivable multilayer IP-over-elastic optical networks to support multi-class of service transmission. - Ehsan Etezadi; Hamzeh Beyranvand; Jawad A. Salehi (Comput. Commun., 2022)

Deep reinforcement learning for proactive spectrum defragmentation in elastic optical networks. - Ehsan Etezadi; Carlos Natalino; Renzo Diaz; Anders X. Lindgren; Stefan Melin; Lena Wosinska; Paolo Monti 001; Marija Furdek (JOCN, 2022)

Proactive Spectrum Defragmentation Leveraging Spectrum Occupancy State Information. - Ehsan Etezadi; Carlos Natalino; Renzo Diaz; Anders X. Lindgren; Stefan Melin; Lena Wosinska; Paolo Monti 001; Marija Furdek (ICTON, 2023)

Joint Fragmentation- and QoT-Aware RBMSA in Dynamic Multi-Band Elastic Optical Networks. - Ehsan Etezadi; Farhad Arpanaei; Carlos Natalino; Erik Agrell; Lena Wosinska; Paolo Monti 001; David Larrabeiti; Marija Furdek (ICTON, 2024)

Programmable Filterless Optical Networks: Architecture, Design, and Resource Allocation. - Ehsan Etezadi; Carlos Natalino; Christine Tremblay; Lena Wosinska; Marija Furdek (IEEE/ACM Trans. Netw., 2024)

On the Benefits of Programmable FON for Low-Cost OTN-Over-WDM Metro Networks. - Aryanaz Attarpour; Ehsan Etezadi; Memedhe Ibrahimi; Francesco Musumeci 001; Andrea Castoldi; Marija Furdek; Massimo Tornatore (ONDM, 2025)