Projects per year
Personal profile
Research profile
From October 2020, Boris is a post-doctoral research member of the Signal Processing Systems Group at the Eindhoven University of Technology 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 machine learning/deep learning in 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. During the B.Sc. and M.Sc. programmes, he had internships in the Bulgarian Academy of Sciences and Mitsubishi Electric, Japan and worked under MC-IRSES scheme with Jiaotong University, Shanghai, China. His Ph.D. programme (2016-2020) was with the Optical Networks Group, University College London, London, U.K., and Nokia Bell Labs, Stuttgart, Germany under the European Industrial Doctorate (EID) Marie Skłodowska-Curie project Coding for Optical communications In the Nonlinear regime (COIN). His Ph.D. research focused on developing new coding and detection methods for communication over the nonlinear dispersive optical fibre channel using deep learning. In 2018, Boris was a recepient of the Nokia "Most innovative AI solution" award for pioneering work in the field of machine learning applications to communication systems. In 2021, he received the "Best paper award" from the IEEE/OSA Journal of Lightwave Technology, honouring the most influential, highest-cited paper published two to three years prior to the award. Also in 2021, he was awarded the Lombardi prize from the Electronic and Electrical Engineering department at UCL, given annually to the best, most impactful thesis submitted in the previous year.
Education/Academic qualification
Electrical engineering, Doctor, Coding for optical communications in the nonlinear regime, University College London
26 Sep 2016 → 26 Sep 2020
Award Date: 28 Dec 2020
Electrical engineering, Master, Photonic networks engineering, Aston University
Sep 2014 → Sep 2016
Award Date: 2 Sep 2016
Electrical engineering, Master, Photonic networks engineering, Osaka University
Sep 2014 → Sep 2016
Award Date: 2 Sep 2016
Electrical engineering, Master, Photonic networks engineering, Technische Universität Berlin
Sep 2014 → Sep 2016
Award Date: 2 Sep 2016
Electrical engineering, Bachelor, Telecommunications engineering, Technical University of Sofia
Sep 2010 → Jun 2014
Award Date: 23 Jun 2014
Network
Projects
- 2 Active
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TKI-HTSM/21.0218/TKI2112P10 RAISE SPS: Robust AI for SafE (radar) signal processing
Bergmans, J. W. M., Youn, J., Bergmans, J. W. M., Gonzalez Carabarin, L., Karanov, B., Wei, X., Fiorio, L., Chen, C. & An, M.
1/06/21 → 31/07/26
Project: Research direct
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ICONIC: Increasing the Capacity of Optical Nonlinear Interfering Channels
Alvarado, A., Alvarado, A., Willems, F. M. J., Sanders, R., Alvarado, A., Barreiro, A., Wu, K., de Jonge, M., Karanov, B., Karanov, B., Lee, J. & Oliari, V.
1/08/17 → 31/07/23
Project: Research direct
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Machine learning for short reach optical fiber systems
Karanov, B., Bayvel, P. & Schmalen, L., 1 Jan 2022, Machine Learning for Future Fiber-Optic Communication Systems. Elsevier, p. 65-89 25 p.Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic › peer-review
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Distance-Agnostic Auto-Encoders for Short Reach Fiber Communications
Karanov, B., Schmalen, L. & Alvarado, A., 26 Jul 2021, 2021 Optical Fiber Communications Conference and Exhibition, OFC 2021 - Proceedings. Institute of Electrical and Electronics Engineers, 3 p. 9489838Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
File3 Citations (Scopus)11 Downloads (Pure) -
End-to-End Learning in Optical Fiber Communications: Experimental Demonstration and Future Trends
Karanov, B., Oliari, V., Chagnon, M., Liga, G., Alvarado, A., Aref, V., Lavery, D., Bayvel, P. & Schmalen, L., 4 Feb 2021, 2020 European Conference on Optical Communications, ECOC 2020. Institute of Electrical and Electronics Engineers, 9333265Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
Open AccessFile5 Citations (Scopus)156 Downloads (Pure) -
End-to-End Learning in Optical Fiber Communications: Concept and Transceiver Design
Karanov, B., Bayvel, P. & Schmalen, L., 4 Feb 2021, 2020 European Conference on Optical Communications, ECOC 2020. Institute of Electrical and Electronics Engineers, 4 p. 9333174Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
Open AccessFile4 Citations (Scopus)10 Downloads (Pure) -
High-Cardinality Hybrid Shaping for 4D Modulation Formats in Optical Communications Optimized via End-to-End Learning
Oliari, V., Karanov, B., Goossens, S., Liga, G., Vassilieva, O., Kim, I., Palacharla, P., Okonkwo, C. & Alvarado, A., 20 Dec 2021, In: arXiv. 2021, p. 1-5 5 p., 2112.10471.Research output: Contribution to journal › Article › Academic
Open AccessFile18 Downloads (Pure)