Ghent University Academic Bibliography

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Emergent self-adaptation in an integrated photonic neural network for backpropagation-free learning

Alessio Lugnan (UGent) , Samarth Aggarwal, Frank Brueckerhoff-Plueckelmann, C. David Wright, Wolfram H. P. Pernice, Harish Bhaskaran and Peter Bienstman (UGent)

(2025) ADVANCED SCIENCE. 12(2).
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A pathway for the integration of novel ferroelectric thin films on non-planar photonic integrated circuits

Enes Lievens (UGent) , Kobe De Geest (UGent) , Ewout Picavet (UGent) , Liesbet Van Landschoot (UGent) , Henk Vrielinck (UGent) , Gilles Freddy Feutmba (UGent) , Hannes Rijckaert (UGent) , Klaartje De Buysser (UGent) , Dries Van Thourhout (UGent) , Peter Bienstman (UGent) , et al.

(2025) MICROMACHINES. 16(3).
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Shapley-guided global optimization algorithm with applications in integrated photonics inverse design

Mohamed Radwan (UGent) , Sean Hooten, Thomas Van Vaerenbergh and Peter Bienstman (UGent)

(2025) OPTICS EXPRESS. 33(4). p.7278-7294
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Braided interferometer mesh for robust photonic matrix-vector multiplications with non-ideal components

Federico Marchesin (UGent) , Matej Hejda, Tzamn melendez Carmona, Stefano DI Carlo, Alessandro Savino, Fabio Pavanello, Thomas Van Vaerenbergh and Peter Bienstman (UGent)

(2025) OPTICS EXPRESS. 33(2). p.2227-2246
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Reservoir computing with all-optical non-fading memory in a self-pulsing microresonator network

Alessio Lugnan, Stefano Biasi, Alessandro Foradori, Peter Bienstman (UGent) and Lorenzo Pavesi

(2025) ADVANCED OPTICAL MATERIALS. 13(11).
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Surrogate gradient learning in spiking networks trained on event-based cytometry dataset

Muhammed Gouda Ahmed Gouda (UGent) , Steven Abreu and Peter Bienstman (UGent)

(2024) OPTICS EXPRESS. 32(9).
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Emerging opportunities and challenges for the future of reservoir computing

Min Yan, Can Huang, Peter Bienstman (UGent) , Peter Tino, Wei Lin and Jie Sun

(2024) NATURE COMMUNICATIONS. 15(1).
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A recurrent Gaussian quantum network for online processing of quantum time series

Robbe De Prins (UGent) , Guy Van der Sande and Peter Bienstman (UGent)

(2024) SCIENTIFIC REPORTS. 14(1).
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Opto-electronic machine learning network for Kramers-Kronig receiver linearization

Sarah Masaad (UGent) and Peter Bienstman (UGent)

(2024) OPTICS EXPRESS. 32(13). p.23561-23574
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Combining a passive spatial photonic reservoir computer with a semiconductor laser increases its nonlinear computational capacity

Ian Bauwens (UGent) , Krishan Harkhoe, Emmanuel Gooskens (UGent) , Peter Bienstman (UGent) , Guy Verschaffelt and Guy Van der Sande

(2024) OPTICS EXPRESS. 32(14). p.24328-24345
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A photonics perspective on computing with physical substrates

S. Abreu, I. Boikov, M. Goldmann, T. Jonuzi, A. Lupo, Sarah Masaad (UGent) , L. Nguyen, E. Picco, G. Pourcel, A. Skalli, et al.

(2024) REVIEWS IN PHYSICS. 12.
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Neuromorphic reservoir for nonlinear optical signal equalization

Guillermo von Huenefeld, Binoy Chacko, Gregor Ronniger, Mahdi Kaveh, Isaac Sackey, Mahtab Aghaeipour, Peter Bienstman (UGent) , Colja Schubert and Ronald Freund

(2024) PHYSICS AND SIMULATION OF OPTOELECTRONIC DEVICES XXXII. In Proceedings of SPIE 12880.
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Partial coherence enhances parallelized photonic computing

Bowei Dong, Frank Brueckerhoff-Plueckelmann, Lennart Meyer, Jelle Dijkstra, Ivonne Bente, Daniel Wendland, Akhil Varri, Samarth Aggarwal, Nikolaos Farmakidis, Mengyun Wang, et al.

(2024) NATURE. 632(8023). p.55-62
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Enhancing the performance of coherent Ising machines in the large-noise regime with a fifth-order nonlinearity

Ruqi Shi (UGent) , Fabian Boehm, Thomas van Vaerenbergh and Peter Bienstman (UGent)

(2024) OPTICS EXPRESS. 32(12). p.21681-21695
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A methodical approach to design adiabatic waveguide couplers for heterogeneous integrated photonics

Jef Van Asch (UGent) , Ahmed Kandeel (UGent) , Junwen He, Jeroen Missinne (UGent) , Peter Bienstman (UGent) , Dries Van Thourhout (UGent) , Geert Van Steenberge (UGent) and Joris Van Campenhout

(2024) JOURNAL OF PHYSICS-PHOTONICS. 6(4). p.1-14
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Clustering and classification of fungal cells and PMMA microparticles : unsupervised and supervised learning using K-means, PCA, logistic regression and spiking neural networks on event-based cytometry datasets

Muhammed Gouda Ahmed Gouda (UGent) , Steven Abreu and Peter Bienstman (UGent)

(2024) 2024 24TH INTERNATIONAL CONFERENCE ON TRANSPARENT OPTICAL NETWORKS, ICTON 2024. In International Conference on Transparent Optical Networks-ICTON
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Reservoir computing for equalization in a self-coherent receiver scheme

Aimen Zelaci (UGent) , Sarah Masaad (UGent) and Peter Bienstman (UGent)

(2024) OPTICS EXPRESS. 32(23). p.40326-40339
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Experimental demonstration of 4-port photonic reservoir computing for equalization of 4 and 16 QAM signals

Sarah Masaad (UGent) , Stijn Sackesyn (UGent) , Stylianos Sygletos and Peter Bienstman (UGent)

(2024) JOURNAL OF LIGHTWAVE TECHNOLOGY. 42(24). p.8555-8563
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Coherent Ising machines on photonic integrated circuits

Ruqi Shi (UGent) , Thomas Van Vaerenbergh, Fabian Boehm and Peter Bienstman (UGent)

(2024) 2024 IEEE SILICON PHOTONICS CONFERENCE, SIPHOTONICS. In IEEE International Conference on Group IV Photonics
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Integration of novel ferro-electric thin films in silicon photonics for high speed modulators

Enes Lievens (UGent) , Ewout Picavet (UGent) , Muhammad Muneeb (UGent) , Klaartje De Buysser (UGent) , Dries Van Thourhout (UGent) , Peter Bienstman (UGent) and Jeroen Beeckman (UGent)

(2024) 2024 Conference on Lasers and Electro-Optics (CLEO). In Quantum Electronics and Laser Science

Academic Bibliography

Emergent self-adaptation in an integrated photonic neural network for backpropagation-free learning

A pathway for the integration of novel ferroelectric thin films on non-planar photonic integrated circuits

Shapley-guided global optimization algorithm with applications in integrated photonics inverse design

Braided interferometer mesh for robust photonic matrix-vector multiplications with non-ideal components

Reservoir computing with all-optical non-fading memory in a self-pulsing microresonator network

Surrogate gradient learning in spiking networks trained on event-based cytometry dataset

Emerging opportunities and challenges for the future of reservoir computing

A recurrent Gaussian quantum network for online processing of quantum time series

Opto-electronic machine learning network for Kramers-Kronig receiver linearization

Combining a passive spatial photonic reservoir computer with a semiconductor laser increases its nonlinear computational capacity

A photonics perspective on computing with physical substrates

Neuromorphic reservoir for nonlinear optical signal equalization

Partial coherence enhances parallelized photonic computing

Enhancing the performance of coherent Ising machines in the large-noise regime with a fifth-order nonlinearity

A methodical approach to design adiabatic waveguide couplers for heterogeneous integrated photonics

Clustering and classification of fungal cells and PMMA microparticles : unsupervised and supervised learning using K-means, PCA, logistic regression and spiking neural networks on event-based cytometry datasets

Reservoir computing for equalization in a self-coherent receiver scheme

Experimental demonstration of 4-port photonic reservoir computing for equalization of 4 and 16 QAM signals

Coherent Ising machines on photonic integrated circuits

Integration of novel ferro-electric thin films in silicon photonics for high speed modulators

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