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Darko Zibar

Darko Zibar

Technical University of Denmark
Denmark

Darko Zibar is Professor at the Department of Photonics Engineering, Technical University of Denmark and the group leader of Machine Learning in Photonics Systems (M-LiPS) group. He received M.Sc. degree in telecommunication and the Ph.D. degree in optical communications from the Technical University of Denmark, in 2004 and 2007, respectively. His resrearch efforts are currently focused on the application of machine learning technqiues to advance classical and quantum optical communication and measurement systems. Some of his major scientific contributions include: record capacity hybrid optical-wireless link (2011), record sensitive optical phase measurement technique that approaches the quantum limit (2019) and design of ultrawide band arbitrary gain Raman amplifier (2019). He is a recipient of Best Student paper award at Microwave Photonics Conference (2006), Villum Young Investigator Programme (2012), Young Researcher Award by University of Erlangen-Nurnberg (2016) and European Research Council (ERC) Consolidator Grant (2017).

For JLT he is handling submissions on the following topics:

- Machine learning techniques for optical communication

- Machine learning applied to fibre sensing

- Optical measurement techniques, amplitude, phase, frequency

Douglas Hargis
Phone +1 732 562 6829
d.hargis@ieee.org

Sonal Parikh
Phone +1 732 465 5859
s.parikh@ieee.org

General Inquires
jltstaff@ieee.org

IEEE Photonics Society
445 Hoes Lane, Piscataway, NJ 08855-1331
www.PhotonicsSociety.org

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