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Persoonlijk profiel

Research profile

From October 2020, Boris is a post-doctoral research member of the Signal Processing Systems Group with research focused on the application of deep learning for digital signal processing in optical fibre communications.

His research interests include nonlinear fiber effects, digital signal processing, and deep learning in optical communications systems.

Academic background

Boris Karanov received the B.Sc. degree in telecommunication engineering from Technical University of Sofia, Sofia, Bulgaria, in 2014, and the joint M.Sc. degrees in photonic networks engineering from Aston University, Birmingham, U.K.; Osaka University, Osaka, Japan; and Technical University of Berlin, Berlin, Germany, in 2016, under the Erasmus Mundus Masters framework. His master thesis was developed in Fraunhofer Heinrich-Hertz-Institute, Germany. His Ph.D. programme was with the Optical Networks Group, University College London, London, U.K., and Nokia Bell Labs, Stuttgart, Germany under the Marie Skłodowska-Curie Innovative Training Network project COIN from 2016 to 2020. His Ph.D. research focused on developing new coding and detection methods for communication over the nonlinear dispersive optical fibre channel using deep learning. During the B.Sc. and M.Sc. degrees, he had internships in the Bulgarian Academy of Sciences and Mitsubishi Electric, Japan and worked under MC-IRSES scheme with Jiaotong University, Shanghai, China.

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