Alessio Lugnan

According to our database, Alessio Lugnan authored at least 7 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Roadmap on Neuromorphic Photonics.

Daniel Brunner, Bhavin J. Shastri, Mohammed Al-Qadasi, Hitesh Ballani, Sylvain Barbay, Stefano Biasi, Peter Bienstman, Simon Bilodeau, Wim Bogaerts, Fabian Böhm, Grace Brennan, Sonia M. Buckley, Xinlun Cai, Marcello Calvanese Strinati, Burcu Canakci, Benoît Charbonnier, Mario Chemnitz, Yitong Chen, Stanley Cheung, Jeff Chiles, Suyeon Choi, Demetrios N. Christodoulides, Lukas Chrostowski, J. Chu, James H. Clegg, Daniel Cletheroe, Claudio Conti, Qionghai Dai, Luigi Di Lauro, Nikolaos-Panteleimon Diamantopoulos, Niyazi Ulas Dinç, Jacob Ewaniuk, Shanhui Fan, Lu Fang, Riccardo Franchi, Pedro Freire, Silvia Gentilini, Sylvain Gigan, Gian Luca Giorgi, Christos Gkantsidis, Jannes Gladrow, Elena Goi, M. Goldmann, A. Grabulosa, Min Gu, Xianxin Guo, Matej Hejda, Folkert Horst, Jih-Liang Hsieh, Jianqi Hu, Juejun Hu, Chaoran Huang, Antonio Hurtado, Lina Jaurigue, Kirill P. Kalinin, Morteza Kamalian-Kopae, D. J. Kelly, Mercedeh Khajavikhan, Heiner Kremer, Jérémie Laydevant, Joshua Lederman, Jongheon Lee, Daan Lenstra, Gordon H. Y. Li, Mo Li, Yuhang Li, Xing Lin, Zhongjin Lin, Mieszko Lis, Kathy Lüdge, Alessio Lugnan, Alessandro Lupo, A. I. Lvovsky, Egor Manuylovich, Alireza Marandi, Federico Marchesin, Serge Massar, Adam N. McCaughan, Peter L. McMahon, Miltiadis Moralis-Pegios, Roberto Morandotti, Christophe Moser, David J. Moss, Avilash Mukherjee, Mahdi Nikdast, Bert J. Offrein, Ilker Oguz, Bakhrom G. Oripov, Greg O'Shea, Aydogan Ozcan, Francesca Parmigiani, Sudeep Pasricha, Fabio Pavanello, Lorenzo Pavesi, Nicola Peserico, Lucinda Pickup, Davide Pierangeli, Nikos Pleros, Xavier Porte, Bryce A. Primavera

CoRR, January, 2025

2023

Photonic neural networks based on integrated silicon microresonators.

Stefano Biasi, Giovanni Donati, Alessio Lugnan, Mattia Mancinelli, Emiliano Staffoli, Lorenzo Pavesi

CoRR, 2023

Training a spiking neural network on an event-based label-free flow cytometry dataset.

Muhammed Gouda, Steven Abreu, Alessio Lugnan, Peter Bienstman

CoRR, 2023

Silicon Ring Resonator with Phase-Change Material as a Plastic Dynamical Node for Scalable All-Optical Neural Networks with Synaptic Plasticity.

Alessio Lugnan, Santiago Garcia-Cuevas Carrillo, Junchao Song, Samarth Aggarwal, Frank Brückerhoff-Plückelmann, Wolfram H. P. Pernice, Harish Bhaskaran, C. David Wright, Peter Bienstman

Proceedings of the 23rd International Conference on Transparent Optical Networks, 2023

Flow cytometry with event-based vision and spiking neuromorphic hardware.

Steven Abreu, Muhammed Gouda, Alessio Lugnan, Peter Bienstman

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2018

Photonic Resevoir Computing: A Brain-inspired Approach for Information Processing.

Peter Bienstman, Joni Dambre, Andrew Katumba, Matthias Freiberger, Floris Laporte, Alessio Lugnan

Proceedings of the Optical Fiber Communications Conference and Exposition, 2018

Integrated Dielectric Scatterers for Speeding up Classification of Cell Diffraction Patterns.

Alessio Lugnan, Joni Dambre, Peter Bienstman

Proceedings of the 2018 20th International Conference on Transparent Optical Networks (ICTON), 2018