Ghent University Academic Bibliography

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Numerical demonstration of neuromorphic computing with photonic crystal cavities

Floris Laporte (UGent) , Andrew Katumba (UGent) , Joni Dambre (UGent) and Peter Bienstman (UGent)

(2018) OPTICS EXPRESS. 26(7). p.7955-7964
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Label-free and real-time detection of tuberculosis in human urine samples using a nanophotonic point-of-care platform

Patricia Ramirez-Priego, Daan Martens (UGent) , Ayssar A. Elamin, Pieterjan Soetaert, Wim Van Roy, Rita Vos, Birgit Anton, Ronny Bockstaele, Holger Becker, Mahavir Singh, et al.

(2018) ACS SENSORS. 3(10). p.2079-2086
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Neuromorphic computing with signal-mixing cavities

Floris Laporte (UGent) , Joni Dambre (UGent) and Peter Bienstman (UGent)

(2018) 2018 IEEE International Conference on Rebooting Computing (ICRC). p.100-103
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Low-loss photonic reservoir computing with multimode photonic integrated circuits

Andrew Katumba (UGent) , Jelle Heyvaert, Bendix Schneider (UGent) , Sarah Uvin (UGent) , Joni Dambre (UGent) and Peter Bienstman (UGent)

(2018) SCIENTIFIC REPORTS. 8(1). p.1-10
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All-optical reservoir computing on a photonic chip using silicon-based ring resonators

Florian Denis Le Courier, Marc Sciamanna, Andrew Katumba (UGent) , Matthias Freiberger (UGent) , Joni Dambre (UGent) , Peter Bienstman (UGent) and Damien Rontani

(2018) IEEE JOURNAL OF SELECTED TOPICS IN QUANTUM ELECTRONICS. 24(6). p.1-8
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Toward neuro-inspired computing using a small network of micro-ring resonators on an integrated photonic chip

Florian Denis-le Coarer, Matthias Freiberger (UGent) , Joni Dambre (UGent) , Peter Bienstman (UGent) , Damien Rontani, Andrew Katumba (UGent) and Marc Sciamanna

(2018) NEURO-INSPIRED PHOTONIC COMPUTING . In Proceedings of SPIE 10689. p.1-9
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A low-cost integrated biosensing platform based on SiN nanophotonics for biomarker detection in urine

Daan Martens (UGent) , P. Ramirez-Priego, Mohammed Shariff Murib (UGent) , A. A. Elamin, A. B. Gonzalez-Guerrero, M. Stehr, F. Jonas, B. Anton, N. Hlawatsch, P. Soetaert, et al.

(2018) ANALYTICAL METHODS . 10(25). p.3066-3073
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Integrated dielectric scatterers for fast optical classification of biological cells

Alessio Lugnan (UGent) , Joni Dambre (UGent) and Peter Bienstman (UGent)

(2018) NEURO-INSPIRED PHOTONIC COMPUTING . In Proceedings of SPIE 10689. p.1-7
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Photonic reservoir computing: a brain-inspired approach for information processing (invited paper)

Peter Bienstman (UGent) , Joni Dambre (UGent) , Andrew Katumba (UGent) , Matthias Freiberger (UGent) , Floris Laporte (UGent) and Alessio Lugnan (UGent)

(2018) 2018 OPTICAL FIBER COMMUNICATIONS CONFERENCE AND EXPOSITION (OFC). p.1-3
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Integrated dielectric scatterers for speeding up classification of cell diffraction patterns

Alessio Lugnan (UGent) , Joni Dambre (UGent) and Peter Bienstman (UGent)

(2018) 20th International Conference on Transparent Optical Networks (ICTON 2018). p.1-4

Academic Bibliography

Numerical demonstration of neuromorphic computing with photonic crystal cavities

Label-free and real-time detection of tuberculosis in human urine samples using a nanophotonic point-of-care platform

Neuromorphic computing with signal-mixing cavities

Low-loss photonic reservoir computing with multimode photonic integrated circuits

All-optical reservoir computing on a photonic chip using silicon-based ring resonators

Toward neuro-inspired computing using a small network of micro-ring resonators on an integrated photonic chip

A low-cost integrated biosensing platform based on SiN nanophotonics for biomarker detection in urine

Integrated dielectric scatterers for fast optical classification of biological cells

Photonic reservoir computing: a brain-inspired approach for information processing (invited paper)

Integrated dielectric scatterers for speeding up classification of cell diffraction patterns

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