Miguel C. Soriano

Miguel Cornelles Soriano
Miguel C. Soriano (Miguel Cornelles Soriano) holds a "Ramón y Cajal" research position at the Instituto de Física Interdisciplinar y Sistemas Complejos (IFISC). His main research interests include the experimental and theoretical study of semiconductor lasers subject to delayed optical feedback, and the experimental characterization and theoretical modelling of the synchronization properties of semiconductor lasers in the chaotic regime. Additional research lines cover topics such as information processing based on reservoir computing and nonlinear dynamics.

Recent Publications

Automated real-time method for ventricular heartbeat classification

Ortín, Silvia; Soriano, Miguel C.; Alfaras, Miquel; Mirasso, Claudio R.
Computer Methods and Programs in Biomedicine 169, 1-8 (2019)

Phase space reconstruction of semiconductor laser dynamics using reservoir computing

Alejandro Cunillera Pérez (Supervisors: Ingo Fischer, Miguel C. Soriano)
Master Thesis (2019)

Machine Learning Applied to Quantum Synchronization‐Assisted Probing

Garau Estarellas, Gabriel; Giorgi, Gian Luca; Soriano, Miguel C.; Zambrini, Roberta
Advanced Quantum Technologies , 1800085 (2019)

Autonomous dynamical systems based on hardware implementations of delay-reservoir computers

Irene Estébanez (Supervisors: Miguel C. Soriano, Ingo Fischer)
Master Thesis (2018)

Improving the quality of a collective signal in a consumer EEG headset

Morán, Alejandro; Soriano, Miguel C.
PLoS ONE 13, e0197597 (2018)

Ongoing Research projects


Improving data DEcoding in optical communication networks All-optically using neuro-inspired photonic systems

P.I.: Miguel C. Soriano, Ingo Fischer, Claudio Mirasso
Novel technologies related to optical communications, sensing, the Internet of Things (IoT) and artificial intelligence have been generating unique opportunities and potential to enhance our quality-of-life, and to provide new services for ...

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