Mashboob Cheruvakkadu Mohamed

Dottorando in Ingegneria Elettrica, Elettronica E Delle Comunicazioni , 39^o ciclo (2023-2026)
Dipartimento di Elettronica e Telecomunicazioni (DET)

mashboob.cheruvakkadu@polito.it

Profilo

Dottorato di ricerca

Argomento di ricerca

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

Tutori

Interessi di ricerca

Optical and Wireless Digital Transmissions Systems

Biografia

Mashboob Cheruvakkadu Mohamed is currently pursuing a PhD in Electrical, Electronic and Communication Engineering at Politecnico di Torino on "MUR DM 117/Infinera - Synergistic use of AI&ML and physics models for optical network tomography from telemetry" . He received the Bachelor of Technology in Electrical and Electronics Engineering from Cochin University of Science and Technology (CUSAT), India (2008-12) and Master of Technology in Opto-electronics and Laser Technology from International School of Photonics, CUSAT, India (2016-18). He was granted Photonics Society of India (PSI) award for securing University First rank in MTech(2018) and Satish John Memorial Award by International School of Photonics, CUSAT for the best MTech Project(2018). He was granted Scholarship for BTech Studies by Govt of India and he had secured Graduate Aptitude Test in Engineering (GATE) Fellowship India for M Tech studies. Previously he had worked as Senior SW QA Engineer with Systems R&D, Infinera India and as Technical Specialist in Nokia Solutions and Networks in India with an overall Engineering Industrial experience of 8.5 years.

LinkedIn: https://in.linkedin.com/in/mashboobcm

Pubblicazioni

Pubblicazioni più recenti Vedi tutte le pubblicazioni su Porto@Iris

Malik, Gulmina; Dipto, Imran Chowdhury; Masood, Muhammad Umar; Cheruvakkadu Mohamed, ... (2025)
SOP-Based Anomaly Detection Leveraging Machine Learning for Proactive Optical Restoration. In: Optical Network Design and Modelling (ONDM), Pisa (Ita), 6-9 May 2025. ISBN: 978-3-903176-67-6
Contributo in Atti di Convegno (Proceeding)
Malik, Gulmina; Dipto, Imran Chowdhury; Masood, Muhammad Umar; Mohamed, Mashboob ... (2025)
Resilient Anomaly Detection in Fiber-Optic Networks: A Machine Learning Framework for Multi-Threat Identification Using State-of-Polarization Monitoring. In: AI, vol. 6. ISSN 2673-2688
Contributo su Rivista
Mohamed, Mashboob Cheruvakkadu; Masood, Muhammad Umar; Dipto, Imran Chowdhury; ... (2025)
Network Data Based Transfer Learning Failure Prediction Agent Pre-Trained Using Digital Twin. In: International Conference on Optical Network Design and Modeling (ONDM), Pisa (Ita), 06-09 May 2025, pp. 1-6
Contributo in Atti di Convegno (Proceeding)