Avishek Nag

Associate Professor · School of Computer Science

University College Dublin, Ireland

I am an Associate Professor in the School of Computer Science at University College Dublin. I received my BE (Hons) from Jadavpur University (2005), MTech from IIT Kharagpur (2007), and PhD from the University of California, Davis (2012). I have authored over 100 publications across journals, conference proceedings, and book chapters.

My research interests include cross-layer optimisation in wired and wireless networks, network reliability, mathematics of networks (optimisation, graph theory), network virtualisation, software-defined networks, machine learning, data analytics, and quantum communication. I am a Senior Member of IEEE. I am currently supervising several PhD students and welcome enquiries from prospective researchers.

Contact Google Scholar ORCID LinkedIn

News & Updates

2026 New journal papers — Two papers published in IEEE Transactions on Green Communications and Networking and Journal of Lightwave Technology on hybrid quantum-classical optical networks.
2025 Grant awarded — Enterprise Ireland funding (€12,500) received for the 6G-CoDT project: Leveraging 6G for Collaborative Digital Twins in Evolving Scenarios (2025–2027).
2025 Promoted to Associate Professor — Appointed Associate Professor in the School of Computer Science at University College Dublin.
2023 Horizon Europe grant — Awarded €216,028 as part of the QUADRATURE project on scalable multi-chip quantum architectures (2023–2027).
2023 New modules — Now coordinating Team Software Project, Distributed Systems, and Software Engineering at UCD.

Selected Publications

An Unsupervised Machine Learning to Optimize Hybrid Quantum Noise Clusters for Gaussian Quantum Channel

M. Chakraborty, A. Mukherjee, I. Krikidis, A. Nag, S. Chandra

IEEE Transactions on Green Communications and Networking, vol. 10, pp. 440–456, 2026.

DOI
Synergistic Resource Allocation for Hybrid Quantum-Classical Optical Networks: Routing, Wavelength Assignment, and Power Configuration

Y. Liu, X. Yu, Y. Zhao, Y. Cao, A. Nag, J. Zhang

Journal of Lightwave Technology, pp. 1–17, 2026.

DOI
Time-Scheduled End-to-End Entanglement Establishment in Memory-Cell-Limited Quantum Networks

Y. Wang, X. Yu, Y. Zhao, Y. Cao, A. Nag, J. Zhang

IEEE Transactions on Networking, vol. 33, no. 5, pp. 2224–2240, 2025.

DOI
Advancing 6G: Survey for Explainable AI on Communications and Network Slicing

H. Sun, Y. Liu, A. Al-Tahmeesschi, A. Nag, M. Soleimanpour, B. Canberk, et al.

IEEE Open Journal of the Communications Society, vol. 6, pp. 1372–1412, 2025.

DOI
Optimized Resource Allocation for Cloud-Native 6G Networks: Zero-Touch ML Models in Microservices-Based VNF Deployments

S. B. Chetty, A. Nag, A. Al-Tahmeesschi, Q. Wang, B. Canberk, J. Marquez-Barja, H. Ahmadi

IEEE Network, vol. 39, no. 4, pp. 235–243, 2025.

DOI
An Overview on Application of Machine Learning Techniques in Optical Networks

F. Musumeci, C. Rottondi, A. Nag, I. Macaluso, D. Zibar, M. Ruffini, M. Tornatore

IEEE Communications Surveys & Tutorials, vol. 21, no. 2, pp. 1383–1408, 2019.

DOI

Full publication list (100+) on Google Scholar.

Teaching

I teach at undergraduate and postgraduate level in the School of Computer Science at UCD, and currently supervise seven PhD students. Current modules are listed below.

Current · 2023–2026

Team Software Project