Mashboob Cheruvakkadu Mohamed

Research topic

Optical Communication Networks, Machine Learning/AI for Optical Networks, Optical Network Tomography

Tutors

• Vittorio Curri
• Emanuele Virgillito

• 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. 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, pp. 1-10. 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)