Dottorando in Ingegneria Elettrica, Elettronica E Delle Comunicazioni , 39o ciclo (2023-2026)
Dipartimento di Elettronica e Telecomunicazioni (DET)
Profilo
Dottorato di ricerca
Argomento di ricerca
Optical Communication Networks, Machine Learning/AI for Optical Networks, Optical Network Tomography
Tutori
Keywords
Pubblicazioni
Pubblicazioni più recenti Vedi tutte le pubblicazioni su Porto@Iris
- Mohamed, Mashboob Cheruvakkadu; D'Ingillo, Rocco; Ambrosone, Renato; Masood, Muhammad ... (2026)
Experimentally Characterized Digital Twin for Machine Learning Based EDFA Failure Prognostics. In: Optical Fiber Communication Conference, 2026, Los Angeles (USA), 15-19 March 2026
Contributo in Atti di Convegno (Proceeding) - Mohamed, Mashboob Cheruvakkadu; Ambrosone, Renato; Masood, Muhammad Umar; Malik, ... (2026)
Reinforcement Learning to Enhance Digital Twin Based EDFA Fault Prediction in Optical Networks. In: IEEE PHOTONICS TECHNOLOGY LETTERS, vol. 38, pp. 1227-1230. ISSN 1041-1135
Contributo su Rivista - Malik, Gulmina; Masood, Muhammad Umar; Ali, Ahtisham; Cheruvakkadu Mohamed, Mashboob; ... (2026)
Machine Learning–Based Detection and Classification of Overlapping Fiber Anomalies. In: IEEE PHOTONICS TECHNOLOGY LETTERS, vol. 38, pp. 1157-1160. ISSN 1041-1135
Contributo su Rivista - Cheruvakkadu Mohamed, Mashboob; Ambrosone, Renato; Masood, Muhammad Umar; Malik, ... (2026)
Failure Prediction in Optical Transport Networks Through the Integration of Digital Twins and Deep Learning. In: JOURNAL OF LIGHTWAVE TECHNOLOGY, vol. 44, pp. 2964-2973. ISSN 0733-8724
Contributo su Rivista - Mohamed, Mashboob Cheruvakkadu; Ambrosone, Renato; D'Ingillo, Rocco; Masood, Muhammad ... (2025)
Leveraging Digital Twins to Build Comprehensive Network Failure Databases for Predictive Machine Learning in Optical Transport Networks. In: 2025 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS), Delhi (Ind), 15-18 Dicembre 2025, pp. 1-6. ISBN: 979-8-3315-2682-5
Contributo in Atti di Convegno (Proceeding)