Otti D’Huys received her PhD at the Free University of Brussels (VUB, Belgium), studying synchronisation in networks of delay-coupled generic oscillators and their relation to coupled semiconductor lasers. After graduation in 2011, she joined the Computational Physics group at the University of Würzburg (Germany) as a postdoc, where she investigated fundamental properties of delayed chaotic systems, and the interplay of stochastic effects and propagation delays in dynamical systems.

During a second postdoctoral appointment at Duke University (United States) she has been working on dynamics and information processing in experimental electronic networks. Her research interests range from nonlinear laser dynamics to dynamics and applications of complex networks and, specifically, the role of time delays.

Project Abstract

The main objective of the Fellowship MILE – Machine Learning Techniques for Stabilisation of ModeLocked Lasers – is to advance the career and enrich the expertise of a bright young researcher within a highly innovative research project with industrial potential. MILE is the synergetic combination of machine learning and photonics, and unites theoretical analysis with experimental verification and industrial exploitation. Dr Otti D’Huys has an expertise in analytical methods of nonlinear science and complex laser dynamics, which she will apply in the development of novel control techniques in fibre laser technology, based on machine learning algorithms.

Through this international, intersectoral and interdisciplinary project she will gain expertise in the area as fibre laser optics, which has enormous industrial potential. The extensive training in research and complementary academic skills, including teaching, intellectual property management, and the integration within word-class insitutes as the host AIPT and international academic co-hosts WIAS, INLN and UMons and the industrial partner VPIphotonics, will allow Dr. D’Huys to mature as a researcher and to build her own research group in nonlinear science. MILE will result in the establishment of a strong collaborative network between the AIPT and SARI groups at Aston University, and the partner organisations.

More information about the project

  • Apostel, N. D. Haynes, E. Schöll, O. D’Huys, and D. J. Gauthier, “Reservoir Computing using Autonomous Boolean Networks Realized on Field-Programmable Gate Arrays”, chapter in “Reservoir Computing: Theory, Physical Implementations and Applications,” eds K. Nakajima and I. Fischer, Springer (2020), under review
  • V.Klinshov, D. Shchnapin, and O. D’Huys, “Mode hopping in oscillatory systems with stochastic delays”, (2020), under review
  • “Mode hopping in a pulse-coupled oscillator with delayed feedback”, O. D’Huys and V. V. Klinshov, Proceedings of the 9th International Scientific Conference on Physics and Control, pp 57 (2019)
  • “Synchronization of delayed fluctuating complex networks”, Javier Rodríguez-Laguna, O. D’Huys, M. Jiménez-Martín, E. Korutcheva, and W. Kinzel,AIP Conference Proceedings 2075, 020005 (2019)
  • D’Huys, J. Rodrıguez-Laguna, M. Jimenez, E. Korutcheva, and W. Kinzel, “Understanding the enhanced synchronization of delay-coupled networks with fluctuating topology”, Eur. Phys. J. Special Topics 227, 1129-1150 (2018)