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Publications


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  2026 D. Dass, L. Sadighi, S. Bjørnstad and M. Ruffini Early-Warning Fiber Event Classification Operating over Commercial Single- and Dual-polarization Sources Using Stokes-Parameter Features and Lightweight Machine Learning European Conference on Optical Communications (ECOC), pp1-4
  2026 J Horgan, A. Nico¿Katz, S.L. Jenkins, A.N. Tittelbaugh, V. Vasan, R. Bali, M. Ruffini, B.A. Bash, D.C. Kilper A Zero Added Loss Multiplexing (ZALM) Source Simulation Wiley Advanced Quantum Technologies, 9(3), pp1-15. DOI: https://doi.org/10.1002/qute.202500810
  2026 Z. Wan, A. D¿Amico, G. Borraccini, A. Raj, Y-K Huang, S. Han, T. Wang, M. Ruffini D. Kilper, T. Chen Scalable ML Models and Cascaded Learning for Efficient Multi-Span OSNR and GSNR Predictions Journal of Optical Communications and Networking, pp88-99. DOI: https://doi.org/10.1364/JOCN.572370
  2026 A. Mitrovska, Y. Hirota, V. Karunakaran, A. Raj, S. Xu, T. Suzuki, A. Jafari, N. Dsilva, B. Shariati, Y. Yoshida, A. Autenrieth, M. Ruffini, P. Safari, J. Fischer, R. Freund, Y. Awaji and T. Bauschert Scaling Optical Testbed Data Space for Data Sharing Across Vendor and Organizational Boundaries Optical Fibre Communications Conference (OFC), pp3
  2026 L. Sadighi, C. Natalino, S. Karlsson, L. Wosinska, E. Kenny, M. Ruffini and M. Furdek. Modulated vs. Unmodulated Polarization Signatures for ML-Based Fiber Sensing Journal of Lightwave Technology, pp10. DOI: https://doi.org/10.1109/JLT.2026.3660791
  2026 D. Dass, C. Browning, D. Kilper, A. Delmade, A. Raj, E. Kenny, L. Barry and M. Ruffini Field Trial and Spectral Allocation Analysis of Transparent Heterogeneous Digital Coherent and Analog Radio over Fiber mmWave/Sub­THz Signals over a Live Production Network Journal of Optical Communications and Networking, pp150-158. DOI: https://doi.org/10.1364/JOCN.575391
  2026 T. Tian, A. Raj, L. Flanagan, J. Kennedy and M. Ruffini Sea-Scan: High-Accuracy, ML-Based Dark Vessel Detection and Localisation via Weakly Supervised DAS Monitoring European Conference on Optical Communications (ECOC), pp1-4. DOI: https://doi.org/10.48550/arXiv.2606.21326
  2026 S. Kojima, K. Anazawa, H. Ishihara, T. Mano, H. Nishizawa, D. Briantcev, D. Kilper, M. Ruffini, Y. Sone and K. Takasugi Field Experiments on Frame-Based Delay Measurement Using OpenZR+ Pluggable Transceivers: Enabling Latency-Managed IP-over-DWDM for Data Center Interconnects Optical Fibre Communications Conference (OFC), pp3
  2026 A. Mukhopadhyay and M. Ruffini. Edge Server Load Balancing using Steerable Free Space Optics for Partial Mesh Optical Access Networks IEEE Transactions on Communications, pp4853-4865. DOI: https://doi.org/10.1109/TCOMM.2026.3664452
  2026 A. Raj, V. V. Garbhapu, H. Ishihara, P. Pahlevanzadeh, H. Nishizawa, T. Sasai, D. Kilper and M. Ruffini OSNR/GSNR Prediction in Brownfield Links via a DLM-Anchored Hybrid Physics/ML Model Optical Fibre Communications Conference (OFC), pp3
  2026 D. Briantcev, D. Basu, S. Xie, A. Raj, P. Pahlevanzadeh, H. Leddy, J. Halbach, V.V. Garbhapu, D. Kilper, M. Ruffini and M. Dzaferagic Digital Twin-Driven Disaggregated Optical Network Reconfiguration and Optimization with Automated Conflict Resolution Optical Fibre Communications Conference (OFC), pp3
  2026 L. Sadighi, S. Karlsson, M. Furdek and M. Ruffini Resilient SOP-Based ML Classification of Harmful Fiber Vibrations Buried in Realistic Broadband Acoustic Backgrounds International Conference on Transparent Optical Networks (ICTON), pp1-4
  2026 V.T. Tran, S. Gowda, M. Dzaferagic, and M. Ruffini Is Our Benchmark Enough? An Analysis of Continual Learning for MLLMs ACM International Conference on Machine Learning (ICML), pp1-13. DOI: https://doi.org/10.48550/arXiv.2606.20961
  2026 T. Tian, Y. Zhang, A. Raj, F.-Y. Wu and M. Ruffini Deep Learning Based Multi-Step Channel Prediction for Adaptive Underwater Acoustic OFDM Systems IEEE OCEANS 2026, pp1-6. DOI: https://doi.org/10.48550/arXiv.2606.05053
  2026 V.T. Tran, H.H. Nguyen-Le, M. Ruffini, and M. Dzaferagic, M UB-SMoE: Universally Balanced Sparse Mixture-of-Experts for Resource-adaptive Federated Fine-tuning of Foundation Models ACM International Conference on Machine Learning, pp1-36. DOI: https://doi.org/10.48550/arXiv.2605.16690
  2026 L. Sadighi, S. Karlsson, M. Furdek and M. Ruffini A Comparative Sensitivity Analysis of SOP-, Phase-, and Intensity-Based Sensing for ML-Driven Threat Classification International Conference on Photonics in Switching and Computing (PSC), pp1-4
  2026 A. Raj, A. Doval, T. Tian, S. Bjørnstad and M. Ruffini ully Unsupervised Detection of Physical Contacts on Subsea Cables via State-of-Polarization Monitoring European Conference on Optical Communications (ECOC), pp1-4. DOI: https://doi.org/10.48550/arXiv.2607.01484
  2026 S. Karlsson, L. Sadighi, M. Furdek and M. Ruffini Detectability of Harmful Fiber Vibrations Buried in Realistic Broadband Acoustic Backgrounds at Varying Intensity International Conference on Transparent Optical Networks (ICTON), pp1-4
  2026 P. Pahlevanzadeh, V. V. Garbhapu, A. Raj, D. Briantcev, D. Kilper, M. Ruffini Spectrum Configuration Framework for Throughput Maximization in Open Systems with Roll-Off-Based QoT Optimization Optical Network Design and Modeling, pp1-6. DOI: https://doi.org/10.48550/arXiv.2604.18374
  2026 L. Sadighi, S. Karlsson,, C. Natalino, M. Eshghie, F. Sumani, E. Kenny, L. Wosinska, M. Furdek and M. Ruffini Autoencoder-based domain adaptation for cross-system generalization in ML-based SOP signature classification Journal of Optical Communications and Networking, pp1-11. DOI: https://doi.org/10.48550/arXiv.2604.18035
  2026 T. Tian, A. Raj, L. Flanagan, N. Celli, C. Bean, J. Kennedy and M. Ruffini DAS-AIS Association Patterns for Vessel Monitoring on an Operational Subsea Fibre Link IEEE International Conference on Transparent Optical Networks (ICTON), pp1-4. DOI: https://doi.org/10.48550/arXiv.2607.02536
  2026 T. Mano, H. Nishizawa, T. Sasai, S. Usui, D. Briantcev, D. Devika; B. Bashaw, E. Kenny, M. Ruffini, Y. Sone, K. Takasugi and D. Kilper Beyond Redundancy: Toward Agile Resilience in Optical Networks to Overcome Unpredictable Disasters IEEE Communications Magazine, pp1-7. DOI: https://doi.org/10.1109/MCOM.001.2500621
  2026 A. Gupta, D. Dass, A. Raj, C. Natalino, M. Ruffini, P. Monti and D. Kilper Radio-Optical Confluence in Intelligent Edge Networks Optical Fibre Communications Conference (OFC), pp1-3
  2025 L. Sadighi, C. Natalino, S. Karlsson, L. Wosinska, M. Ruffini and M. Furde AI/ML-Based State-of-Polarization Monitoring in Optical Networks: Concepts and Challenges Optical Fibre Communications (OFC), pp1-3
  2025 M. Dzaferagic, B. M. Xavier, D. Collins, V. D¿Onofrio, M. Martinello and M. Ruffini ML-Based Handover Prediction Over a Real O-RAN Deployment Using RAN Intelligent Controller IEEE Transactions on Network and Service Management, pp635-647. DOI: https://doi.org/10.1109/TNSM.2024.3468910
  2025 R. Bali, A.N. Tittelbaugh, S.L. Jenkins, A. Agrawal, J. Horgan, M. Ruffini, D.C. Kilper, B.A. Bash Routing and Spectrum Allocation in Broadband Quantum Entanglement Distribution IEEE Journal on Selected Areas in Communications, pp1-16. DOI: https://doi.org/10.48550/arXiv.2404.08744
  2025 D. Dass, A. Delmade, A. Raj, E. Kenny, D. Kilper, L. Barry and M. Ruffini Coexistence of Digital Coherent, mmWave and sub-THz Analog RoF Services using OSaaS over converged access-metro live production network Optical Fibre Communications (OFC), pp1-3
  2025 Z. Wang, A. Raj, G. Borraccini, S. Han, Y-K Huang, T. Wang, M. Ruffini, D. Kilper and T. Chen Scalable Machine Learning Models\for Optical Transmission System Management Optical Fibre Communications (OFC), pp1-3. DOI: https://doi.org/10.1364/OPTICA.512148
  2025 M. Dzaferagic, K. O¿Sullivan, B. Richardson, B. Ryan, N. Power, R. Giller and M. Ruffini Demonstration of Cooperative Transport Interface over Open Source 7.2 split RAN and Virtualised Open PON Network Optical Fibre Communications (OFC), pp1-3. DOI: https://doi.org/10.1364/ofc.2025.m3z.2
  2025 A. Raj, D. Dass, D. Kilper and M. Ruffini Real-Time Streaming Telemetry Based Detection and Mitigation of OOK and Power Interference in Multi-User OSaaS Networks Optical Fibre Communications (OFC), pp1-3
  2025 Anazawa, Kazuya and Inoue, Takeru and Mano, Toru and Ou, Hiroshi and Ujikawa, Hirotaka and Briantcev, Dmitrii and Binte Ali, Sumaiya and Dass, Devika and Nishizawa, Hideki and Sone, Yoshiaki and Kenny, Eoin and Ruffini, Marco and Kilper, Daniel and Oki, Eiji and Takasugi, Koichi Experimental evaluation of an SDN controller for open optical-circuit-switched networks Journal of Optical Communications and Networking, 17(6), pp498 – 513. DOI: http://dx.doi.org/10.1364/JOCN.558407
  2025 Dass, Devika and Kilper, Dan and Barry, Liam and Ruffini, Marco Heterogeneous transmission of analog radio and digital coherent signals over multispan metro and PON for bandwidth-efficient fronthaul in mmWave centralized RANs [Invited] Journal of Optical Communications and Networking, 17(8). DOI: http://dx.doi.org/10.1364/JOCN.551296
  2025 Sadighi, Leyla and Karlsson, Stefan and Natalino, Carlos and Wosinska, Lena and Ruffini, Marco and Furdek, Marija Deep Learning for Detection of Harmful Events in Real-World, Noisy Optical Fiber Deployments Journal of Lightwave Technology, 43(13), pp6092 – 6101. DOI: http://dx.doi.org/10.1109/JLT.2025.3557748
  2025 Raj, Agastya and Kilper, Daniel C. and Ruffini, Marco Interference detection in spectrum-blind multi-user optical spectrum as a service Journal of Optical Communications and Networking, 17(8). DOI: http://dx.doi.org/10.1364/JOCN.551188
  2025 Ganguli, Arijeet and Ruffini, Marco Real-time capable, low-latency upstream scheduling in multi-tenant, SLA compliant TWDM PON Journal of Optical Communications and Networking, 17(6), pp485 – 497. DOI: http://dx.doi.org/10.1364/JOCN.558325
  2025 Raj, Agastya and Wang, Zehao and Chen, Tingjun and Kilper, Daniel C. and Ruffini, Marco Generalized few-shot transfer learning architecture for modeling the EDFA gain spectrum Journal of Optical Communications and Networking, 17(9). DOI: http://dx.doi.org/10.1364/JOCN.560987
  2025 H. McAleese, A. Agrawal, V. Vasan, C.J. Campbell, A.G. Hawkins, D.C. Kilper, M. Paternostro, M. Ruffini Strategies for entanglement distribution in optical fiber networks. Physical Review Research, pp13. DOI: https://doi.org/10.1103/84qz-1jz2
  2025 L. Sadighi, C. Natalino Da Silva, S. Karlsson, M. Ruffini, E. Kenny, L. Wosinska and M. Furdek Prekratic Generalizability of ML¿based classification of state of polarization signatures across different bands and links European Conference on Optical Communications (ECOC), pp3
  2025 Aleksandra Kaszubowska-Anandarajah, Dan Kilper, Marco Ruffini, Kaida Kaeval, Esther Renner, Bernhard Schmauss, Alessandro Giusti, Petr Munster, Tomas Horvath, André Richter, Igor Koltchanov, Steinar Bjørnstad, Darko Zibar, Andreas Papadopoulos, Achim Autenrieth, Andre Sandmann, Florian Azendorf, Mohammed Hassine Intent and Context-Aware Optical Networks 2025 25th Anniversary International Conference on Transparent Optical Networks (ICTON), pp1-2. DOI: https://doi.org/10.1109/ICTON67126.2025.11125334
  2025 Paolo Monti, Dan Kilper, Ioanna Mesogiti, Colm Browning, Carlos Natalino, Aleksandra Kaszubowska Anandarajah, Marco Ruffini Harnessing AI and Confluent Technologies for Next-Generation 6G Networks 2025 30th OptoElectronics and Communications Conference (OECC) and 2025 International Conference on Photonics in Switching and Computing (PSC), pp1-4. DOI: https://doi.org/10.23919/OECC/PSC62146.2025.11111139
  2025 M. Ruffini, A. Raj Optical Spectrum as a Service (OSaaS): Progress and Challenges Photonics in Switching, pp6. DOI: https://doi.org/10.23919/OECC/PSC62146.2025.11111444
  2025 Z. Wang, A. Raj, Y-K Huang E. Ip, G. Borraccini, A. D¿Amico, S. Han, Z. Qi, G. Zussman, K. Asahi, H. Kageshima, Y. Aono, T. Wang, M. Ruffini, D. Kilper, T. Chen Toward Intelligent and Efficient Optical Networks: Performance Modeling, Co-existence, and Field Trials IEEE Photonics in Switching Conference, pp6. DOI: https://doi.org/10.23919/OECC/PSC62146.2025.11110008
  2025 C. Lohse, D. Tsutsumi, A. Ba, P. Harsha, C. Subramanian, M. Straesser, M. Ruffini Causal Latency Modelling for Cloud Microservices IEEE International Conference on Cloud Computing (CLOUD), pp6. DOI: https://doi.org/10.1109/CLOUD67622.2025.00024
  2025 V. Vasan, A. Agrawal, A. Nico-Katz, J. Horgan, B.A. Bash, D.C. Kilper and M. Ruffini. Control Protocol for Entangled Pair Verification in Quantum Optical Networks IEEE International Confrence on Communications (ICC), pp6. DOI: https://doi.org/10.1109/ICC52391.2025.11161247
  2025 L. Sadighi, S. Karlsson, M. Ruffini and M. Furdek Prekratic ML-based detection and categorization of complex mechanical vibrations via state of polarization analysis in optical networks. IEEE International Conference on Transparent Optical Networks (ICTON), pp6. DOI: https://doi.org/10.1109/ICTON67126.2025.11125320
  2025 T. Sasai, K. Anazawa, D. Briantcev, D. Dass, S. Ali, G. Borraccini, Y. Kobatake, H. Ishihara, E. Kenny, G. Liu, T. Mano, M. Nakamura, H. Nishizawa, Y. Sone, E. Yamazaki, Y. Kisaka, K. Takasugi, K. Asahi, M. Ruffini, D. Kilper. Optical Network Tomography over Live Production Network in Multi-Domain Environment European Conference on Optical Communications (ECOC), pp3. DOI: https://doi.org/10.1109/ECOC66593.2025.11263088
  2025 A. Abishek, L.G. Renom, R. Muno, M. Ruffini, D. Briantcev, D. Kilper, A. Asensio, X. Masip-Bruin and R. Vilalta Secure Information Exchange between Optical Network Digital Twin and Optical Transport Network IEEE NEtsoft, pp6. DOI: https://doi.org/10.1109/NetSoft64993.2025.11080637
  2024 A. Ganguli and M. Ruffini. Low-Latency Upstream Scheduling in Multi-Tenant, SLA Compliant TWDM PON Optical Fibre Communications (OFC), pp1-3
  2024 F. Slyne, K. O¿Sullivan, M. Dzaferagic, B. Richardson, M. Wrzeszcz, B. Ryan, N. Power, R. Giller and M. Ruffini. Demonstration of Cooperative Transport Interface using open-source 5G OpenRAN and virtualised PON network Optical Fibre Communications (OFC), pp1-3. DOI: https://doi.org/10.1364/ofc.2024.m3z.1
  2024 B. Missi Xavier, M. Dzaferagic, I, Vilà, M. Martinello and M. Ruffini Cross-Domain AI for Early Attack Detection and Defense Against Malicious Flows in O-RAN IEEE International Conference on Communications (ICC), pp1-6. DOI: https://doi.org/10.1109/ICC51166.2024.10622345
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