Agile calibration process of full-stack simulation frameworks for V2X communications. - Ioannis Mavromatis; Andrea Tassi; Robert J. Piechocki; Andrew R. Nix (VNC, 2017)

mmWave System for Future ITS: A MAC-Layer Approach for V2X Beam Steering. - Ioannis Mavromatis; Andrea Tassi; Robert J. Piechocki; Andrew R. Nix (VTC Fall, 2017)

Beam Alignment for Millimetre Wave Links with Motion Prediction of Autonomous Vehicles. - Ioannis Mavromatis; Andrea Tassi; Robert J. Piechocki; Andrew R. Nix (CoRR, 2017)

A City-Scale ITS-G5 Network for Next-Generation Intelligent Transportation Systems: Design Insights and Challenges. - Ioannis Mavromatis; Andrea Tassi; Robert J. Piechocki; Andrew R. Nix (ADHOC-NOW, 2018)

Efficient V2V Communication Scheme for 5G mmWave Hyper-Connected CAVs. - Ioannis Mavromatis; Andrea Tassi; Robert J. Piechocki; Andrew R. Nix (ICC Workshops, 2018)

Poster: Parallel Implementation of the OMNeT++ INET Framework for V2X Communications. - Ioannis Mavromatis; Andrea Tassi; Robert J. Piechocki; Andrew R. Nix (VNC, 2018)

Multi-Radio 5G Architecture for Connected and Autonomous Vehicles: Application and Design Insights. - Ioannis Mavromatis; Andrea Tassi; Giovanni Rigazzi; Robert J. Piechocki; Andrew R. Nix (EAI Endorsed Trans. Ind. Networks Intell. Syst., 2018)

Location Anomalies Detection for Connected and Autonomous Vehicles. - Xiaoyang Wang 005; Ioannis Mavromatis; Andrea Tassi; Raúl Santos-Rodríguez; Robert J. Piechocki (CAVS, 2019)

Operating ITS-G5 DSRC over Unlicensed Bands: A City-Scale Performance Evaluation. - Ioannis Mavromatis; Andrea Tassi; Robert J. Piechocki (PIMRC, 2019)

Efficient Millimeter-Wave Infrastructure Placement for City-Scale ITS. - Ioannis Mavromatis; Andrea Tassi; Robert J. Piechocki; Andrew R. Nix (VTC Spring, 2019)

Secure Data Offloading Strategy for Connected and Autonomous Vehicles. - Andrea Tassi; Ioannis Mavromatis; Robert J. Piechocki; Andrew R. Nix (VTC Spring, 2019)

Agile Data Offloading over Novel Fog Computing Infrastructure for CAVs. - Andrea Tassi; Ioannis Mavromatis; Robert J. Piechocki; Andrew R. Nix; Christian Compton; Tracey Poole; Wolfgang Schuster (VTC Spring, 2019)

A Dataset of Full-Stack ITS-G5 DSRC Communications over Licensed and Unlicensed Bands Using a Large-Scale Urban Testbed. - Ioannis Mavromatis; Andrea Tassi; Robert J. Piechocki (CoRR, 2019)

DRIVE: A Digital Network Oracle for Cooperative Intelligent Transportation Systems. - Ioannis Mavromatis; Robert J. Piechocki; Mahesh Sooriyabandara; Arjun Parekh (ISCC, 2020)

On Urban Traffic Flow Benefits of Connected and Automated Vehicles. - Ioannis Mavromatis; Andrea Tassi; Robert J. Piechocki; Mahesh Sooriyabandara (VTC Spring, 2020)

UMBRELLA Collaborative Robotics Testbed and IoT Platform. - Tim Farnham; Simon Jones; Adnan Aijaz; Yichao Jin; Ioannis Mavromatis; Usman Raza; Anthony Portelli; Aleksandar Stanoev; Mahesh Sooriyabandara (CCNC, 2021)

Container Escape Detection for Edge Devices. - James Pope; Francesco Raimondo; Vijay Kumar; Ryan McConville; Robert J. Piechocki; George Oikonomou; Thomas Pasquier; Bo Luo; Dan Howarth; Ioannis Mavromatis; Pietro Edoardo Carnelli; Adrián Sánchez-Mompó; et al. (SenSys, 2021)

Securing Synchronous Flooding Communications: An Atomic-SDN Implementation. - Charles Lockie; Ioannis Mavromatis; Aleksandar Stanoev; Yichao Jin; George Oikonomou (EWSN, 2022)

A Federated Learning-enabled Smart Street Light Monitoring Application: Benefits and Future Challenges. - Diya Anand; Ioannis Mavromatis; Pietro Edoardo Carnelli; Aftab Khan 001 (MORSE@MobiCom, 2022)

Energy-Rate-Quality Tradeoffs of State-of-the-Art Video Codecs. - Angeliki Katsenou; Jingwei Mao; Ioannis Mavromatis (PCS, 2022)

Reliable IoT Firmware Updates: A Large-scale Mesh Network Performance Investigation. - Ioannis Mavromatis; Aleksandar Stanoev; Anthony J. Portelli; Charles Lockie; Marius Ammann; Yichao Jin; Mahesh Sooriyabandara (WCNC, 2022)

A Dataset of Images of Public Streetlights with Operational Monitoring using Computer Vision Techniques. - Ioannis Mavromatis; Aleksandar Stanoev; Pietro Edoardo Carnelli; Yichao Jin; Mahesh Sooriyabandara; Aftab Khan 001 (CoRR, 2022)

Resource-Interaction Graph: Efficient Graph Representation for Anomaly Detection. - James Pope; Jinyuan Liang; Vijay Kumar; Francesco Raimondo; Xinyi Sun; Ryan McConville; Thomas Pasquier; Robert J. Piechocki; George Oikonomou; Bo Luo; Dan Howarth; Ioannis Mavromatis; et al. (CoRR, 2022)

Demo: LE3D: A Privacy-preserving Lightweight Data Drift Detection Framework. - Ioannis Mavromatis; Aftab Khan 001 (CCNC, 2023)

LE3D: A Lightweight Ensemble Framework of Data Drift Detectors for Resource-Constrained Devices. - Ioannis Mavromatis; Adrián Sánchez-Mompó; Francesco Raimondo; James Pope; Marcello Bullo; Ingram Weeks; Vijay Kumar; Pietro Edoardo Carnelli; George Oikonomou; Theodoros Spyridopoulos; Aftab Khan 001 (CCNC, 2023)

FROST: Towards Energy-efficient AI-on-5G Platforms - A GPU Power Capping Evaluation. - Ioannis Mavromatis; Stefano De Feo; Pietro Edoardo Carnelli; Robert J. Piechocki; Aftab Khan 001 (CSCN, 2023)

Evaluating Concept Drift Detectors on Real-World Data. - Ufuk Erol; Francesco Raimondo; James Pope; Samuel Gunner; Vijay Kumar; Ioannis Mavromatis; Pietro Edoardo Carnelli; Theodoros Spyridopoulos; Aftab Khan 001; George Oikonomou (EWSN, 2023)

Federated Deep Learning for Intrusion Detection in IoT Networks. - Othmane Belarbi; Theodoros Spyridopoulos; Eirini Anthi; Ioannis Mavromatis; Pietro Edoardo Carnelli; Aftab Khan 001 (GLOBECOM, 2023)

FLARE: Detection and Mitigation of Concept Drift for Federated Learning based IoT Deployments. - Theo Chow; Usman Raza; Ioannis Mavromatis; Aftab Khan 001 (IWCMC, 2023)

Multi-stage Attack Detection and Prediction Using Graph Neural Networks: An IoT Feasibility Study. - Hamdi Friji; Ioannis Mavromatis; Adrián Sánchez-Mompó; Pietro Carnelli; Alexis Olivereau; Aftab Khan 001 (TrustCom, 2023)

Cybersecurity in Motion: A Survey of Challenges and Requirements for Future Test Facilities of CAVs. - Ioannis Mavromatis; Theodoros Spyridopoulos; Pietro Edoardo Carnelli; Woon Hau Chin; Ahmed Khalil; Jennifer Chakravarty; Lucia Cipolina Kun; Robert J. Piechocki; Colin Robbins; Daniel Cunnington; Leigh Chase; Lamogha Chiazor; et al. (CoRR, 2023)

Intelligent Routing as a Service (iRaaS) A Flexible Routing Framework for Knowledge-Defined Networks. - Saptarshi Ghosh; Konstantinos Antonakoglou; Ioannis Mavromatis; Kostas Katsaros (IFIP Networking, 2024)

Mitigating System Bias in Resource Constrained Asynchronous Federated Learning Systems. - Jikun Gao; Ioannis Mavromatis; Peizheng Li; Pietro Edoardo Carnelli; Aftab Khan 001 (PerCom Workshops, 2024)

Past, Present, Future: A Comprehensive Exploration of AI Use Cases in the UMBRELLA IoT Testbed. - Peizheng Li; Ioannis Mavromatis; Aftab Khan 001 (PerCom Workshops, 2024)

AI-Native Multi-Access Future Networks - The REASON Architecture. - Konstantinos Katsaros; Ioannis Mavromatis; Kostantinos Antonakoglou; Saptarshi Ghosh; Dritan Kaleshi; Toktam Mahmoodi; Hamid Asgari; Anastasios Karousos; Iman Tavakkolnia; Hossein Safi; Harald Haas; Constantinos Vrontos; et al. (IEEE Access, 2024)

UMBRELLA: A One-Stop Shop Bridging the Gap From Lab to Real-World IoT Experimentation. - Ioannis Mavromatis; Yichao Jin; Aleksandar Stanoev; Anthony Portelli; Ingram Weeks; Ben Holden; Eliot Glasspole; Tim Farnham; Aftab Khan 001; Usman Raza; Adnan Aijaz; Thomas Bierton; et al. (IEEE Access, 2024)

UMBRELLA: A One-stop Shop Bridging the Gap from Lab to Real-World IoT Experimentation. - Ioannis Mavromatis; Yichao Jin; Aleksandar Stanoev; Anthony Portelli; Ingram Weeks; Ben Holden; Eliot Glasspole; Tim Farnham; Aftab Khan 001; Usman Raza; Adnan Aijaz; Ichiro Seto; et al. (CoRR, 2024)

Computing Within Limits: An Empirical Study of Energy Consumption in ML Training and Inference. - Ioannis Mavromatis; Kostas Katsaros; Aftab Khan 001 (CoRR, 2024)

FedMap: Iterative Magnitude-Based Pruning for Communication-Efficient Federated Learning. - Alexander Herzog; Robbie Southam; Ioannis Mavromatis; Aftab Khan 001 (CoRR, 2024)

Intelligent Routing as a Service (iRaaS). - Saptarshi Ghosh; Konstantinos Antonakoglou; Ioannis Mavromatis; Kostas Katsaros (CoRR, 2024)

FLAME: Adaptive and Reactive Concept Drift Mitigation for Federated Learning Deployments. - Ioannis Mavromatis; Stefano De Feo; Aftab Khan 001 (CoRR, 2024)

Adapting MLOps for Diverse In-Network Intelligence in 6G Era: Challenges and Solutions. - Peizheng Li; Ioannis Mavromatis; Tim Farnham; Adnan Aijaz; Aftab Khan 001 (CoRR, 2024)

AI-Native Multi-Access Future Networks - The REASON Architecture. - Konstantinos Katsaros; Ioannis Mavromatis; Konstantinos Antonakoglou; Saptarshi Ghosh; Dritan Kaleshi; Toktam Mahmoodi; Hamid Asgari; Anastasios Karousos; Iman Tavakkolnia; Hossein Safi; Harald Haas; Constantinos Vrontos; et al. (CoRR, 2024)

Connecting the Unconnected: A DT Case Study of Nomadic Nodes Deployment in Nepal. - Ioannis Mavromatis; Angeliki Katsenou; Klodian Bardhi; Evangelos Xenos; Dimitra Simeonidou (CCNC, 2025)

CAMINO: Cloud-Native Autonomous Management and Intent-Based Orchestrator. - Konstantinos Antonakoglou; Ioannis Mavromatis; Saptarshi Ghosh; Mark Rouse; Konstantinos Katsaros (EuCNC/6G Summit, 2025)

Future Open Networks Cross-Domain Cognitive Orchestration: A Novel Design Paradigm. - Saptarshi Ghosh; Hamid Asgari; Darryl Hond; Konstantinos Antonakoglou; Ioannis Mavromatis; Noel Butler; Rasheed Hussain; Shah Zeb; Kostas Katsaros; Shadi Moazzeni; David Tee; Gabriele Incorvaia; et al. (IEEE Access, 2025)

Collaborative intrusion detection in resource-constrained IoT environments: Challenges, methods, and future directions a review. - Vasilis Ieropoulos; Eirini Anthi; Theodoros Spyridopoulos; Pete Burnap; Ioannis Mavromatis; Aftab Khan 001; Pietro Carnelli (J. Inf. Secur. Appl., 2025)

Green MLOps to Green GenOps: An Empirical Study of Energy Consumption in Discriminative and Generative AI Operations. - Adrián Sánchez-Mompó; Ioannis Mavromatis; Peizheng Li; Konstantinos Katsaros; Aftab Khan 001 (CoRR, 2025)