Researcher
Emmanuel Gooskens
- Disciplines:Scientific computing, Computer theory, Computer hardware, Other computer engineering, information technology and mathematical engineering
Affiliations
- Department of Information technology (Department)
Member
From1 Aug 2018 → Today
Projects
1 - 1 of 1
- Wavelength Division Multiplexing in Photonic Reservoir ComputingFrom1 Nov 2019 → 31 Oct 2023Funding: FWO Strategic Basic Research Grant
Publications
1 - 6 of 6
- Photonic reservoir computing for wavelength multiplexed nonlinear fiber distortion mitigation(2023)
Authors: Emmanuel Gooskens, Stijn Sackesyn, Sarah Masaad, Joni Dambre, Peter Bienstman
Number of pages: 1 - Integrated photonic reservoir computing with an all-optical readout(2023)
Authors: Chonghuai Ma, Joris Van Kerrebrouck, Hong Deng, Stijn Sackesyn, Emmanuel Gooskens, Bing Bai, Joni Dambre, Peter Bienstman
Pages: 34843 - 34854 - Enabling optical modulation format identification using an integrated photonic reservoir and a digital multiclass classifier(2022)
Authors: Guillermo von Huenefeld, Gregor Ronniger, Pooyan Safari, Isaac Sackey, Rijil Thomas, Enes Seker, Piotr Cegielski, Stephan Suckow, Max Lemme, David Stahl, et al.
Number of pages: 1 - Photonic neuromorphic information processing and reservoir computing(2020)
Authors: Alessio Lugnan, Andrew Katumba, Floris Laporte, Matthias Freiberger, Stijn Sackesyn, C. Ma, Emmanuel Gooskens, Joni Dambre, Peter Bienstman
- Coherent optical computing in silicon photonics
Authors: Peter Bienstman, Alessio Lugnan, Chonghuai Ma, Stijn Sackesyn, Emmanuel Gooskens, Sarah Masaad, Muhammed Gouda Ahmed Gouda, Robbe De Prins
Number of pages: 1 - Machine learning issues and opportunities in ultrafast particle classification for label-free microflow cytometry
Authors: Alessio Lugnan, Emmanuel Gooskens, Jeremy Vatin, Joni Dambre, Peter Bienstman