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Abstract: When light propagates in multimode optical fibres, it is confined in many orthogonal modes whose transverse profiles are propagation-invariant. This high dimensional modal space allows great flexibility in processing the output information, as well as controlling the input information for various purposes. In this talk, I will discuss a coherent suite of topics including (i) processing the output information from a multimode fibre in the context of sensing using machine learning, (ii) controlling the input information into multimode fibre as a mean of tailoring the output for laser applications, and (iii) the introduction of physical neural network, an emerging field in complex optics toward realisation of energy-efficient and low-latency machine learning.

Bio: Dr Linh Nguyen is a research fellow with the Future Industries Institutes at UniSA. Before joining UniSA he has spent times at Edith Cowan University and the University of ºÚÁÏÉçÇø. He has published more than 60 peer reviewed papers in international journals and conference proceedings attracting more than 2200 citations, h-index = 27 (Google citation). Research projects in which he has been involved with in major capacity (either a named fellow, a named chief investigator or a lead researcher) have totalled nearly 5M dollars to date. His research interest is in photonics and optical science in general, with a particular focus on optical sensing and fibre laser, and most recently light transport through multimode waveguide system and machine learning assisted photonics.