Rasoul Nikbakht

A young researcher in the area of machine learning and wireless communications with an excellent track record of publications, industrial experience, and implementation skills.

He received his M.Sc. degree from Amirkabir University of Technology, Iran, in 2015. In Dec. 2016, he was awarded a competitive scholarship to pursue a Ph.D. degree at UPF under the supervision of Prof. Angel Lozano. In Mar. 2020, he was an intern in the Radio Systems & AI group at Nokia Bell Labs France, working on end-to-end learning for 6G. In March 2021, he graduated from his Ph.D. program, focusing on resource allocation for cell-free massive MIMO and developing unsupervised-learning-based solutions for parametric optimizations. After his Ph.D., he started a postdoc position at UPF, where he focused on terahertz communication, non-terrestrial networks, and graph neural networks. Since Jan. 2022, he has been with CTTC, working on 6G and AI-based communications, network slicing, and edge caching in 5G networks.

He has published more than ten papers in reputed IEEE journals and conferences. Also, the open-source implementations of his projects such as video-on-demand streaming using RL-based edge caching and an unsupervised learning-based technique for parametric optimizations, are publicly available on his GitHub page.