Photonics Research Group Home
Ghent University Projects
About People Research Publications Education Services
 IMEC
intern

 

back to project list 

H2020: Phresco

Full Name:Photonic Reservoir Computing

Duration: 1/11/2015-1/4/2019

Project Web site: http://fys.kuleuven.be/apps/phresco/project.html

People involved

Research topics involved

Publications in the framework of this project (21)

    International Journals

  1. Florian Denis-le Coarer, Marc SCIAMANNA, A. Katumba, Matthias Freiberger, Joni Dambre, P. Bienstman, Damien Rontani, All-optical reservoir computing on a photonic chip using silicon-based ring resonators, IEEE Journal on Selected Topics in Quantum Electronics, 24(6), (2018).
  2. A. Katumba, Matthias Freiberger, F. Laporte, A. Lugnan, S. Sackesyn, C. Ma, Joni Dambre, P. Bienstman, Neuromorphic computing based on silicon photonics and reservoir computing, IEEE Journal on Selected Topics in Quantum Electronics (invited), 24(6), p.8300310 (10 pages) (2018).
  3. F. Laporte, A. Katumba, Joni Dambre, P. Bienstman, Numerical demonstration of neuromorphic computing with photonic crystal cavities, Optics Express, 26(7), p.7955-7964 (2018)  Download this Publication (8.3MB).
  4. A. Katumba, Jelle Heyvaert, B. Schneider, S. Uvin, Joni Dambre , P. Bienstman, Low-Loss Photonic Reservoir Computing with Multimode Photonic Integrated Circuits, Scientific Reports, 8(1), p.2653 (2018)  Download this Publication (1.3MB).
  5. A. Katumba, Matthias Freiberger, Joni Dambre, P. Bienstman, A Multiple-Input Strategy to Efficient Integrated Photonic Reservoir Computing, Cognitive Computation, 9(3), p.307-314 (2017).
      International Conferences

    1. Florian Denis-le Coarer, Damien Rontani, A. Katumba, Matthias Freiberger, Joni Dambre, P. Bienstman, Marc SCIAMANNA, Toward neuro-inspired computing using a small network of micro-ring resonators on an integrated photonic chip, SPIE PHOTONICS EUROPE, 10689, France, p.1068908-9 (2018).
    2. P. Bienstman, Joni Dambre, A. Katumba, Matthias Freiberger, F. Laporte, A. Lugnan, Photonic reservoir computing: a brain-inspired approach for information processing, The Optical Fiber Communication Conference (OFC) (invited), United States, p.paper M4F.4 (3 pages) (2018).
    3. P. Bienstman, Joni Dambre, A. Katumba, Matthias Freiberger, F. Laporte, A. Lugnan, Silicon photonics for neuromorphic information processing , SPIE Photonics West (invited), DL 10551, United States, p.paper 10551-19 (7 pages) (2018).
    4. A. Katumba, Xin Jin, Joni Dambre, P. Bienstman, Silicon Photonics Neuromorphic Computing and its Application to Telecommunications, (invited) publication in European Conference on Optical Communication, Italy,  (to be published).
    5. Damien Rontani, Florian Denis-Le Coarer, A. Katumba, Matthias Freiberger, Joni Dambre, P. Bienstman, Marc Sciamanna, Reservoir Computing with Nonlinear Micro-Resonators on a Silicon Photonics Chip, International Symposium on Nonlinear Theory and Its Applications, Mexico, p.paper 5192, session A3LC (2017).
    6. Matthias Freiberger, A. Katumba, Joni Dambre, P. Bienstman, On-chip passive photonic reservoir computing with integrated optical readout, ICRC2017, the IEEE International Conference on Rebooting Computing 2017, United States, p. 255 - 258 (2017).
    7. D. Rontani, F. Denis, A. Katumba, M. Freiberger, J. Dambre, P. Bienstman, M. Sciamanna, Photonic reservoir computing using a small network of micro-ring resonators, Workshop on Dynamical Systems and Brain-inspired Information Processing, Germany, (2017)  Download this Publication (401KB).
    8. F. Laporte, A. Lugnan, J. Dambre, P. Bienstman, Novel photonic reservoir computing architectures, Workshop on Dynamical Systems and Brain-inspired Information Processing, , Germany, (2017)  Download this Publication (372KB).
    9. A. Katumba, Matthias Freiberger, Jelle Heyvaert, Joni Dambre, P. Bienstman, Building Scalable Integrated Silicon Photonics Reservoirs for Signal Processing, Frontiers in Optics, United States, p.paper JTu2A.92 (2 pages) (2017).
    10. A. Katumba, F. Laporte, A. Lugnan, J. Dambre, P. Bienstman, Integrated-photonics implementation of reservoir computing neural networks, Machine learning workshop at ECOC (invited), Sweden, (2017).
    11. F. Laporte, J. Dambre, P. Bienstman, Reservoir Computing with signal-mixing cavities, 19th International Conference on Transparent Optical Networks (ICTON) (invited), Spain, p.We.A5.3 (2017).
    12. F. Denis, D. Rontani, A. Katumba, M. Freiberger, J. Dambre, P. Bienstman, M. Sciamanna, Reservoir computing on an active silicon photonics chip using nonlinear microring resonators, XXXVII Dynamic Days Europe, Hungary, p.187 (2017)  Download this Publication (163KB).
    13. F. Laporte, J. Dambre, P. Bienstman, Header recognition with signal-mixing cavities, Workshop on Dynamical Systems and Brain-inspired Information Processing, Belgium, (2017).
    14. A. Katumba, Matthias Freiberger, Joni Dambre, P. Bienstman, Passive integrated photonics reservoir computing with on-chip readout for telecommunication applications, Dynamical Systems and Brain Inspired Computing 2017 (invited), Belgium, (2017).
    15. F. Denis, D. Rontani, A. Katumba, M. Freiberger, J. Dambre, P. Bienstman, M. Sciamanna, Nonlinear microring resonators on silicon photonic chip for brain inspired computing, Workshop on Dynamical Systems and Brain-inspired Information Processing, Belgium, (2017).

        Back to project list