The studies on mode-locked fibre lasers contribute towards the innovation in laser physics and laser development. They open the opportunity to use fibre lasers for applications in medicine and deepen the understanding of complex laser dynamics. The development of a mathematical model for fibre mode-locked lasers that is based on delayed differential equations connects the mathematical modelling in semiconductor and fibre optics and unifies mathematical concepts used in photonics.
The results achieved on photonic neural networks contribute to European policies. Since such neural networks are expected to consume less energy than their electronic counterparts, they will enhance sustainable technologies. Enabling signal restoration, recognition, and classification in telecommunication, they will contribute to the integration of digitalisation in all industrial technologies and societal challenges. If used for pattern recognition in communication signal transmission, they will also be useful for cybersecurity.
The fibre-based scheme for generation of a broad optical spectrum can be used for infrared spectroscopy in chemistry, food industry, artwork conservation, and medical diagnostics. Also, it allows for a deeper understanding of nonlinear effects in optical fibres.
The work on novel fibre sensors contributes towards the technological development in spectroscopy, biology, and medicine. Specifically, the fibre sensor for low-invasive real-time cancer boundary detection will allow for more precise and accurate surgeries on cancers and, thus, increase the chances of patients’ cure.
The beneficiaries of my project, apart from myself, will be scientists in the fields of optics, photonics, physics, applied mathematics, engineers developing and producing optical devices, medical doctors and their patients, companies working in the food industry or artwork conservation. Also, these will be young generations of students to whom I will transfer the knowledge and skills gained during my Fellowship.