Ioannis Mavromatis

Orcid: 0000-0002-3309-132X

According to our database1, Ioannis Mavromatis authored at least 41 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
Adapting MLOps for Diverse In-Network Intelligence in 6G Era: Challenges and Solutions.
CoRR, 2024

FLAME: Adaptive and Reactive Concept Drift Mitigation for Federated Learning Deployments.
CoRR, 2024

Intelligent Routing as a Service (iRaaS).
CoRR, 2024

FedMap: Iterative Magnitude-Based Pruning for Communication-Efficient Federated Learning.
CoRR, 2024

Computing Within Limits: An Empirical Study of Energy Consumption in ML Training and Inference.
CoRR, 2024

UMBRELLA: A One-stop Shop Bridging the Gap from Lab to Real-World IoT Experimentation.
CoRR, 2024

UMBRELLA: A One-Stop Shop Bridging the Gap From Lab to Real-World IoT Experimentation.
IEEE Access, 2024

Past, Present, Future: A Comprehensive Exploration of AI Use Cases in the UMBRELLA IoT Testbed.
Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2024

Mitigating System Bias in Resource Constrained Asynchronous Federated Learning Systems.
Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2024

Intelligent Routing as a Service (iRaaS) A Flexible Routing Framework for Knowledge-Defined Networks.
Proceedings of the IFIP Networking Conference, 2024

2023
Cybersecurity in Motion: A Survey of Challenges and Requirements for Future Test Facilities of CAVs.
CoRR, 2023

Multi-stage Attack Detection and Prediction Using Graph Neural Networks: An IoT Feasibility Study.
Proceedings of the 22nd IEEE International Conference on Trust, 2023

FLARE: Detection and Mitigation of Concept Drift for Federated Learning based IoT Deployments.
Proceedings of the International Wireless Communications and Mobile Computing, 2023

Federated Deep Learning for Intrusion Detection in IoT Networks.
Proceedings of the IEEE Global Communications Conference, 2023

Evaluating Concept Drift Detectors on Real-World Data.
Proceedings of the 2023 International Conference on embedded Wireless Systems and Networks, 2023

FROST: Towards Energy-efficient AI-on-5G Platforms - A GPU Power Capping Evaluation.
Proceedings of the IEEE Conference on Standards for Communications and Networking, 2023

LE3D: A Lightweight Ensemble Framework of Data Drift Detectors for Resource-Constrained Devices.
Proceedings of the 20th IEEE Consumer Communications & Networking Conference, 2023

Demo: LE3D: A Privacy-preserving Lightweight Data Drift Detection Framework.
Proceedings of the 20th IEEE Consumer Communications & Networking Conference, 2023

2022
Resource-Interaction Graph: Efficient Graph Representation for Anomaly Detection.
CoRR, 2022

A Dataset of Images of Public Streetlights with Operational Monitoring using Computer Vision Techniques.
CoRR, 2022

Reliable IoT Firmware Updates: A Large-scale Mesh Network Performance Investigation.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2022

Energy-Rate-Quality Tradeoffs of State-of-the-Art Video Codecs.
Proceedings of the Picture Coding Symposium, 2022

A Federated Learning-enabled Smart Street Light Monitoring Application: Benefits and Future Challenges.
Proceedings of the 1st ACM Workshop on AI Empowered Mobile and Wireless Sensing, 2022

Securing Synchronous Flooding Communications: An Atomic-SDN Implementation.
Proceedings of the 2022 International Conference on Embedded Wireless Systems and Networks, 2022

2021
Container Escape Detection for Edge Devices.
Proceedings of the SenSys '21: The 19th ACM Conference on Embedded Networked Sensor Systems, Coimbra, Portugal, November 15, 2021

UMBRELLA Collaborative Robotics Testbed and IoT Platform.
Proceedings of the 18th IEEE Annual Consumer Communications & Networking Conference, 2021

2020
On Urban Traffic Flow Benefits of Connected and Automated Vehicles.
Proceedings of the 91st IEEE Vehicular Technology Conference, 2020

DRIVE: A Digital Network Oracle for Cooperative Intelligent Transportation Systems.
Proceedings of the IEEE Symposium on Computers and Communications, 2020

2019
A Dataset of Full-Stack ITS-G5 DSRC Communications over Licensed and Unlicensed Bands Using a Large-Scale Urban Testbed.
CoRR, 2019

Agile Data Offloading over Novel Fog Computing Infrastructure for CAVs.
Proceedings of the 89th IEEE Vehicular Technology Conference, 2019

Secure Data Offloading Strategy for Connected and Autonomous Vehicles.
Proceedings of the 89th IEEE Vehicular Technology Conference, 2019

Efficient Millimeter-Wave Infrastructure Placement for City-Scale ITS.
Proceedings of the 89th IEEE Vehicular Technology Conference, 2019

Operating ITS-G5 DSRC over Unlicensed Bands: A City-Scale Performance Evaluation.
Proceedings of the 30th IEEE Annual International Symposium on Personal, 2019

Location Anomalies Detection for Connected and Autonomous Vehicles.
Proceedings of the IEEE 2nd Connected and Automated Vehicles Symposium, 2019

2018
Multi-Radio 5G Architecture for Connected and Autonomous Vehicles: Application and Design Insights.
EAI Endorsed Trans. Ind. Networks Intell. Syst., 2018

Poster: Parallel Implementation of the OMNeT++ INET Framework for V2X Communications.
Proceedings of the 2018 IEEE Vehicular Networking Conference, 2018

Efficient V2V Communication Scheme for 5G mmWave Hyper-Connected CAVs.
Proceedings of the 2018 IEEE International Conference on Communications Workshops, 2018

A City-Scale ITS-G5 Network for Next-Generation Intelligent Transportation Systems: Design Insights and Challenges.
Proceedings of the Ad-hoc, Mobile, and Wireless Networks, 2018

2017
Beam Alignment for Millimetre Wave Links with Motion Prediction of Autonomous Vehicles.
CoRR, 2017

mmWave System for Future ITS: A MAC-Layer Approach for V2X Beam Steering.
Proceedings of the 86th IEEE Vehicular Technology Conference, 2017

Agile calibration process of full-stack simulation frameworks for V2X communications.
Proceedings of the 2017 IEEE Vehicular Networking Conference, 2017


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