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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 ÑÇÖÞ²ÊƱ¹ÙÍø. 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.