Ph.D. in Ingegneria Elettrica, Elettronica E Delle Comunicazioni , 34th cycle (2018-2021)
Ph.D. obtained in 2022
Dissertation:
Machine Learning Applications to Optical Communication Systems (Abstract)
Tutors:
Andrea Carena
Research presentation:
Video presentationProfile
Research topic
Machine Learning applied to Raman amplification in optical systems
Research interests
Biography
As a PhD student, she joined the Optical Communication Group (OptCom) in Politecnico di Torino in November 2018 under the supervision of Prof. Andrea Carena. Her research activity focus on two main topics: mitigation of filtering effects due to cascading Reconfigurable Optical Add-Drop Multiplexers (ROADMs), her Master's degree topic, and machine learning applied in ultra-wide bandwidth Raman amplification.
She won a scholarship for the Subsea Optical Fiber Communications 2019 International Summer School, held in Polvijärvi, Finland, mainly organized by Google and the Optical Society of America (OSA) about subsea optical fiber communications. In March 2020 she was one recipient of the Corning Woman in Optical Communications Scholarship.
She is a member and president of the Torino OSA Student Chapter.
Awards and Honors
Teaching
Teachings
Bachelor of Science
- Teoria ed elaborazione dei segnali. A.A. 2019/20, INGEGNERIA INFORMATICA. Collaboratore del corso
Publications
Works published during the Ph.D. View all publications in Porto@Iris
- de Moura, Uiara C.; Da Ros, Francesco; Zibar, Darko; Brusin, Ann Margareth Rosa; Carena, ... (2022)
Machine learning applied to inverse systems design. In: 2022 International Conference on Optical Network Design and Modeling (ONDM), Warsaw (Poland), 16-19 May 2022, pp. 1-3. ISBN: 978-3-903176-44-7
Contributo in Atti di Convegno (Proceeding) - ROSA BRUSIN, ANN MARGARETH (2022)
Machine Learning Applications to Optical Communication Systems. relatore: CARENA, ANDREA; , 34. XXXIV Ciclo, P.: 208
Doctoral Thesis - Ranjbar Zefreh, Mahdi; Carena, Andrea; Brusin, Ann Margareth Rosa; Forghieri, Fabrizio; ... (2021)
Real Time Closed-Form Model for Nonlinearity Assessment of Fibre Optic Links with Lumped Loss. In: 2021 European Conference on Optical Communication (ECOC), Bordeaux (France), 13-16 Sept. 2021, pp. 1-4. ISBN: 978-1-6654-3868-1
Contributo in Atti di Convegno (Proceeding) - De Moura, U. C.; Da Ros, F.; Rosa Brusin, A. M.; Carena, A.; Zibar, D. (2021)
Experimental Characterization of Raman Amplifier Optimization through Inverse System Design. In: JOURNAL OF LIGHTWAVE TECHNOLOGY, vol. 39, pp. 1162-1170. ISSN 0733-8724
Contributo su Rivista - Rosa Brusin, A. M.; Zefreh, M. Ranjbar; Poggiolini, P.; Piciaccia, S.; Forghieri, F.; ... (2021)
Machine Learning for Power Profiles Prediction in Presence of Inter-channel Stimulated Raman Scattering. In: 2021 European Conference on Optical Communication (ECOC), Bordeaux (France), 13-16 Sept. 2021, pp. 1-4. ISBN: 978-1-6654-3868-1
Contributo in Atti di Convegno (Proceeding) - Nespola, A.; Sandoghchi, S. R.; Hooper, L.; Alonso, M.; Bradley, T. D.; Sakr, H.; ... (2021)
Ultra-Long-Haul WDM Transmission in a Reduced InterModal Interference NANF Hollow-Core Fiber. In: 2021 Optical Fiber Communications Conference and Exhibition, OFC 2021, San Francisco, CA, USA, 2021. ISBN: 978-1-943580-86-6
Contributo in Atti di Convegno (Proceeding) - de Moura, U. C.; Rosa Brusin, A. M.; Carena, A.; Zibar, D.; da Ros, F. (2021)
Simultaneous gain profile design and noise figure prediction for Raman amplifiers using machine learning. In: OPTICS LETTERS, vol. 46, pp. 1157-1160. ISSN 0146-9592
Contributo su Rivista - de Moura, Uc; Iqbal, Ma; Kamalian, M; Krzczanowicz, L; Da Ros, F; Rosa Brusin, Am; ... (2021)
Multi-band programmable gain Raman amplifier for high-capacity optical networks. In: 2021 IEEE Photonics Conference (IPC), Vancouver, BC, Canada, 18-21 October 2021, pp. 1-2. ISSN 2374-0140. ISBN: 978-1-6654-1601-6
Contributo in Atti di Convegno (Proceeding) - Da Ros, F.; De Moura, U. C.; Luis, R. S.; Rademacher, G.; Puttnam, B. J.; Rosa Brusin, ... (2021)
Optimization of a Hybrid EDFA-Raman C+L Band Amplifier through Neural-Network Models. In: 2021 Optical Fiber Communications Conference and Exhibition, OFC 2021, San Francisco, CA, USA, 2021. ISBN: 978-1-9435-8071-2
Contributo in Atti di Convegno (Proceeding) - Zibar, D; de Moura, Uc; Rosa Brusin, Am; Carena, A; Da Ros, F (2021)
Machine learning enabled Raman amplifiers. In: 2021 Conference on Lasers and Electro-Optics Europe & European Quantum Electronics Conference, Munich (Germany), 21-25 June 2021, pp. 1-1. ISBN: 978-1-6654-1876-8
Contributo in Atti di Convegno (Proceeding) - De Moura, U. C.; Da Ros, F.; Zibar, D.; Rosa Brusin, A. M.; Carena, A. (2021)
Optimization of Raman amplifiers using machine learning. In: 2021 IEEE Photonics Society Summer Topicals Meeting Series (SUM), Cabo San Lucas (Mexico), 19-21 July 2021, pp. 1-2. ISSN 1099-4742. ISBN: 978-1-6654-1600-9
Contributo in Atti di Convegno (Proceeding) - De Moura, U. C.; Iqbal, M. A.; Kamalian, M.; Krzczanowicz, L.; Da Ros, F.; Rosa Brusin, ... (2021)
Multi-Band Programmable Gain Raman Amplifier. In: JOURNAL OF LIGHTWAVE TECHNOLOGY, vol. 39, pp. 429-438. ISSN 0733-8724
Contributo su Rivista - De Moura, U. C.; Zibar, D.; Rosa Brusin, A. M.; Carena, A.; Da Ros, F. (2021)
Generalization Properties of Machine Learning-based Raman Models. In: 2021 Optical Fiber Communications Conference and Exhibition, OFC 2021, San Francisco, CA, USA, 2021. ISBN: 978-1-943580-86-6
Contributo in Atti di Convegno (Proceeding) - Rosa Brusin, A. M.; De Moura, U. C.; Curri, V.; Zibar, D.; Carena, A. (2020)
Introducing Load Aware Neural Networks for Accurate Predictions of Raman Amplifiers. In: JOURNAL OF LIGHTWAVE TECHNOLOGY, vol. 38, pp. 6481-6491. ISSN 0733-8724
Contributo su Rivista - Zibar, D.; Moura, U. C.; Chin, H. M.; Rosa Brusin, A. M.; Jain, N.; Da Ros, F.; Kleis, ... (2020)
Advancing classical and quantum communication systems with machine learning. In: Optical Fiber Communication Conference, OFC 2020, San Diego (USA), 2020. ISBN: 978-1-943580-71-2
Contributo in Atti di Convegno (Proceeding) - Rosa Brusin, A. M.; de Moura, U. C.; D'Amico, A.; Curri, V.; Zibar, D.; Carena, A. (2020)
Load aware Raman gain profile prediction in dynamic multi-band optical networks. In: Optical Fiber Communication Conference, OFC 2020, San Diego (USA), 2020. ISBN: 978-1-943580-71-2
Contributo in Atti di Convegno (Proceeding) - Zibar, D.; Rosa Brusin, A. M.; De Moura, U. C.; Da Ros, F.; Curri, V.; Carena, A. (2020)
Inverse System Design Using Machine Learning: The Raman Amplifier Case. In: JOURNAL OF LIGHTWAVE TECHNOLOGY, vol. 38, pp. 736-753. ISSN 0733-8724
Contributo su Rivista - de Moura, U. C.; Ros, F. D.; Rosa Brusin, A. M.; Carena, A.; Zibar, D. (2020)
Experimental demonstration of arbitrary Raman gain-profile designs using machine learning. In: Optical Fiber Communication Conference, OFC 2020, San Diego (USA), 2020. ISBN: 978-1-943580-71-2
Contributo in Atti di Convegno (Proceeding) - Rosa Brusin, A. M.; Guiomar, F. P.; Lorences-Riesgo, A.; Monteiro, P. P.; Carena, A. (2019)
Enhanced resilience towards ROADM-induced optical filtering using subcarrier multiplexing and optimized bit and power loading. In: OPTICS EXPRESS, vol. 27, pp. 30710-30725. ISSN 1094-4087
Contributo su Rivista - Rosa Brusin, A. M.; Curri, V.; Zibar, D.; Carena, A. (2019)
An ultra-fast method for gain and noise prediction of Raman amplifiers. In: European Conference on Optical Communications (ECOC), Dublin (IRL), 22-26 settembre 2019
Contributo in Atti di Convegno (Proceeding)