Summary
Rasoul Nikbakht is a Senior Machine Learning Engineer with a Ph.D. in Wireless Communications and nine years of experience applying ML to telecom systems from the physical layer up to network orchestration. He has built and deployed telecom foundational models, led GPU-cluster training for large models, and developed agentic workflows for autonomous wireless networks including cell-free and non-terrestrial systems. A Globecom Best Paper Award winner, Rasoul combines deep research (graph neural networks, reinforcement learning, self-supervised methods) with hands-on cloud-native engineering across Kubernetes, edge computing, and O-RAN/5G stacks. He has moved innovations from Ph.D. prototypes to industrial settings at CTTC and now Keysight Technologies, and coordinated successful proposals for reliable AI in 6G. Based in Barcelona, he is as comfortable drafting project strategy and proposals as he is optimizing large-scale model training and real-time wireless deployments. An understated strength is his track record of translating theoretical advances (e.g., unsupervised learning for cell-free networks) into reproducible, production-focused solutions.
9 years of coding experience
8 years of employment as a software developer
Bachelor of Science (B.Sc.) Electrical Electronics and Communications Engineering, Bachelor of Science (B.Sc.) Electrical Electronics and Communications Engineering at University of Tabriz
Amirkabir University of Technology
Doctor of Philosophy (Ph.D.) Wireless Communications, Doctor of Philosophy (Ph.D.) Wireless Communications at Universitat Pompeu Fabra
English, Spanish, Azerbaijani, Persian