Ioannis Mavromatis

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 61

Top Topics

Autonomous Vehicles

Graph Representation

Intelligent Transportation Systems

Drift Detection

Top Venues

Publications

Jikun Gao, Ioannis Mavromatis, Peizheng Li, Pietro Carnelli, Aftab Khan
Mitigating System Bias in Resource Constrained Asynchronous Federated Learning Systems. CoRR (2024)
Ioannis Mavromatis, Yichao Jin, Aleksandar Stanoev, Anthony Portelli, Ingram Weeks, Ben Holden, Eliot Glasspole, Tim Farnham, Aftab Khan, Usman Raza, Adnan Aijaz, Ichiro Seto, Nita Patel, Mahesh Sooriyabandara
UMBRELLA: A One-stop Shop Bridging the Gap from Lab to Real-World IoT Experimentation. CoRR (2024)
Saptarshi Ghosh, Konstantinos Antonakoglou, Ioannis Mavromatis, Kostas Katsaros
Intelligent Routing as a Service (iRaaS). CoRR (2024)
Peizheng Li, Ioannis Mavromatis, Aftab Khan
Past, Present, Future: A Comprehensive Exploration of AI Use Cases in the UMBRELLA IoT Testbed. CoRR (2024)
Peizheng Li, Ioannis Mavromatis, Aftab Khan
Past, Present, Future: A Comprehensive Exploration of AI Use Cases in the UMBRELLA IoT Testbed. PerCom Workshops (2024)
Hamdi Friji, Ioannis Mavromatis, Adrián Sánchez-Mompó, Pietro Edoardo Carnelli, Alexis Olivereau, Aftab Khan
Multi-stage Attack Detection and Prediction Using Graph Neural Networks: An IoT Feasibility Study. CoRR (2024)
Ioannis Mavromatis, Yichao Jin, Aleksandar Stanoev, Anthony Portelli, Ingram Weeks, Ben Holden, Eliot Glasspole, Tim Farnham, Aftab Khan, Usman Raza, Adnan Aijaz, Thomas Bierton, Ichiro Seto, Nita Patel, Mahesh Sooriyabandara
UMBRELLA: A One-Stop Shop Bridging the Gap From Lab to Real-World IoT Experimentation. IEEE Access 12 (2024)
Jikun Gao, Ioannis Mavromatis, Peizheng Li, Pietro Edoardo Carnelli, Aftab Khan
Mitigating System Bias in Resource Constrained Asynchronous Federated Learning Systems. PerCom Workshops (2024)
Alexander Herzog, Robbie Southam, Ioannis Mavromatis, Aftab Khan
FedMap: Iterative Magnitude-Based Pruning for Communication-Efficient Federated Learning. CoRR (2024)
Ioannis Mavromatis, Kostas Katsaros, Aftab Khan
Computing Within Limits: An Empirical Study of Energy Consumption in ML Training and Inference. CoRR (2024)
Ioannis Mavromatis, Stefano De Feo, Pietro Edoardo Carnelli, Robert J. Piechocki, Aftab Khan
FROST: Towards Energy-efficient AI-on-5G Platforms - A GPU Power Capping Evaluation. CSCN (2023)
Theo Chow, Usman Raza, Ioannis Mavromatis, Aftab Khan
FLARE: Detection and Mitigation of Concept Drift for Federated Learning based IoT Deployments. IWCMC (2023)
Ioannis Mavromatis, Theodoros Spyridopoulos, Pietro Carnelli, Woon Hau Chin, Ahmed Khalil, Jennifer Chakravarty, Lucia Cipolina Kun, Robert J. Piechocki, Colin Robbins, Daniel Cunnington, Leigh Chase, Lamogha Chiazor, Chris Preston, Rahul, Aftab Khan
Cybersecurity in Motion: A Survey of Challenges and Requirements for Future Test Facilities of CAVs. CoRR (2023)
Othmane Belarbi, Theodoros Spyridopoulos, Eirini Anthi, Ioannis Mavromatis, Pietro Carnelli, Aftab Khan
Federated Deep Learning for Intrusion Detection in IoT Networks. CoRR (2023)
Ioannis Mavromatis, Stefano De Feo, Pietro Carnelli, Robert J. Piechocki, Aftab Khan
FROST: Towards Energy-efficient AI-on-5G Platforms - A GPU Power Capping Evaluation. CoRR (2023)
Ioannis Mavromatis, Aftab Khan
Demo: LE3D: A Privacy-preserving Lightweight Data Drift Detection Framework. CCNC (2023)
Hamdi Friji, Ioannis Mavromatis, Adrián Sánchez-Mompó, Pietro Carnelli, Alexis Olivereau, Aftab Khan
Multi-stage Attack Detection and Prediction Using Graph Neural Networks: An IoT Feasibility Study. TrustCom (2023)
Othmane Belarbi, Theodoros Spyridopoulos, Eirini Anthi, Ioannis Mavromatis, Pietro Edoardo Carnelli, Aftab Khan
Federated Deep Learning for Intrusion Detection in IoT Networks. GLOBECOM (2023)
Ioannis Mavromatis, Adrián Sánchez-Mompó, Francesco Raimondo, James Pope, Marcello Bullo, Ingram Weeks, Vijay Kumar, Pietro Carnelli, George Oikonomou, Theodoros Spyridopoulos, Aftab Khan
LE3D: A Lightweight Ensemble Framework of Data Drift Detectors for Resource-Constrained Devices. CCNC (2023)
Theo Chow, Usman Raza, Ioannis Mavromatis, Aftab Khan
FLARE: Detection and Mitigation of Concept Drift for Federated Learning based IoT Deployments. CoRR (2023)
Ufuk Erol, Francesco Raimondo, James Pope, Samuel Gunner, Vijay Kumar, Ioannis Mavromatis, Pietro Edoardo Carnelli, Theodoros Spyridopoulos, Aftab Khan, George Oikonomou
Evaluating Concept Drift Detectors on Real-World Data. EWSN (2023)
Ioannis Mavromatis, Aleksandar Stanoev, Pietro Edoardo Carnelli, Yichao Jin, Mahesh Sooriyabandara, Aftab Khan
A Dataset of Images of Public Streetlights with Operational Monitoring using Computer Vision Techniques. CoRR (2022)
Diya Anand, Ioannis Mavromatis, Pietro Carnelli, Aftab Khan
A Federated Learning-enabled Smart Street Light Monitoring Application: Benefits and Future Challenges. MORSE@MobiCom (2022)
Ioannis Mavromatis, Aftab Khan
Demo: LE3D: A Privacy-preserving Lightweight Data Drift Detection Framework. CoRR (2022)
Ioannis Mavromatis, Aleksandar Stanoev, Anthony J. Portelli, Charles Lockie, Marius Ammann, Yichao Jin, Mahesh Sooriyabandara
Reliable IoT Firmware Updates: A Large-scale Mesh Network Performance Investigation. CoRR (2022)
Charles Lockie, Ioannis Mavromatis, Aleksandar Stanoev, Yichao Jin, George Oikonomou
Securing Synchronous Flooding Communications: An Atomic-SDN Implementation. EWSN (2022)
Charles Lockie, Ioannis Mavromatis, Aleksandar Stanoev, Yichao Jin, George Oikonomou
Securing Synchronous Flooding Communications: An Atomic-SDN Implementation. CoRR (2022)
Angeliki Katsenou, Jingwei Mao, Ioannis Mavromatis
Energy-Rate-Quality Tradeoffs of State-of-the-Art Video Codecs. PCS (2022)
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, Adrián Sánchez-Mompó, Pietro Carnelli, Theodoros Spyridopoulos, Aftab Khan
Resource-Interaction Graph: Efficient Graph Representation for Anomaly Detection. CoRR (2022)
Ioannis Mavromatis, Adrián Sánchez-Mompó, Francesco Raimondo, James Pope, Marcello Bullo, Ingram Weeks, Vijay Kumar, Pietro Edoardo Carnelli, George Oikonomou, Theodoros Spyridopoulos, Aftab Khan
LE3D: A Lightweight Ensemble Framework of Data Drift Detectors for Resource-Constrained Devices. CoRR (2022)
Ioannis Mavromatis, Aleksandar Stanoev, Anthony J. Portelli, Charles Lockie, Marius Ammann, Yichao Jin, Mahesh Sooriyabandara
Reliable IoT Firmware Updates: A Large-scale Mesh Network Performance Investigation. WCNC (2022)
Diya Anand, Ioannis Mavromatis, Pietro Edoardo Carnelli, Aftab Khan
A Federated Learning-enabled Smart Street Light Monitoring Application: Benefits and Future Challenges. CoRR (2022)
Tim Farnham, Simon Jones, Adnan Aijaz, Yichao Jin, Ioannis Mavromatis, Usman Raza, Anthony Portelli, Aleksandar Stanoev, Mahesh Sooriyabandara
UMBRELLA Collaborative Robotics Testbed and IoT Platform. CCNC (2021)
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, Theodoros Spyridopoulos, Aftab Khan
Container Escape Detection for Edge Devices. SenSys (2021)
Ioannis Mavromatis, Robert J. Piechocki, Mahesh Sooriyabandara, Arjun Parekh
DRIVE: A Digital Network Oracle for Cooperative Intelligent Transportation Systems. CoRR (2020)
Ioannis Mavromatis, Andrea Tassi, Robert J. Piechocki, Mahesh Sooriyabandara
On Urban Traffic Flow Benefits of Connected and Automated Vehicles. VTC Spring (2020)
Ioannis Mavromatis, Robert J. Piechocki, Mahesh Sooriyabandara, Arjun Parekh
DRIVE: A Digital Network Oracle for Cooperative Intelligent Transportation Systems. ISCC (2020)
Ioannis Mavromatis, Andrea Tassi, Robert J. Piechocki, Andrew R. Nix
Efficient Millimeter-Wave Infrastructure Placement for City-Scale ITS. VTC Spring (2019)
Ioannis Mavromatis, Andrea Tassi, Robert J. Piechocki
Operating ITS-G5 DSRC over Unlicensed Bands: A City-Scale Performance Evaluation. CoRR (2019)
Ioannis Mavromatis, Andrea Tassi, Robert J. Piechocki
Operating ITS-G5 DSRC over Unlicensed Bands: A City-Scale Performance Evaluation. PIMRC (2019)
Ioannis Mavromatis, Andrea Tassi, Robert J. Piechocki, Andrew R. Nix
Efficient Millimeter-Wave Infrastructure Placement for City-Scale ITS. CoRR (2019)
Ioannis Mavromatis, Andrea Tassi, Robert J. Piechocki
A Dataset of Full-Stack ITS-G5 DSRC Communications over Licensed and Unlicensed Bands Using a Large-Scale Urban Testbed. CoRR (2019)
Andrea Tassi, Ioannis Mavromatis, Robert J. Piechocki, Andrew R. Nix
Secure Data Offloading Strategy for Connected and Autonomous Vehicles. CoRR (2019)
Andrea Tassi, Ioannis Mavromatis, Robert J. Piechocki, Andrew R. Nix, Christian Compton, Tracey Poole, Wolfgang Schuster
Agile Data Offloading over Novel Fog Computing Infrastructure for CAVs. VTC Spring (2019)
Xiaoyang Wang, Ioannis Mavromatis, Andrea Tassi, Raúl Santos-Rodríguez, Robert J. Piechocki
Location Anomalies Detection for Connected and Autonomous Vehicles. CAVS (2019)
Xiaoyang Wang, Ioannis Mavromatis, Andrea Tassi, Raúl Santos-Rodríguez, Robert J. Piechocki
Location Anomalies Detection for Connected and Autonomous Vehicles. CoRR (2019)
Andrea Tassi, Ioannis Mavromatis, Robert J. Piechocki, Andrew R. Nix
Secure Data Offloading Strategy for Connected and Autonomous Vehicles. VTC Spring (2019)
Andrea Tassi, Ioannis Mavromatis, Robert J. Piechocki, Andrew R. Nix, Christian Compton, Tracey Poole, Wolfgang Schuster
Agile Data Offloading over Novel Fog Computing Infrastructure for CAVs. CoRR (2019)
Ioannis Mavromatis, Andrea Tassi, Giovanni Rigazzi, Robert J. Piechocki, Andrew R. Nix
Multi-Radio 5G Architecture for Connected and Autonomous Vehicles: Application and Design Insights. CoRR (2018)
Ioannis Mavromatis, Andrea Tassi, Robert J. Piechocki, Andrew R. Nix
Poster: Parallel Implementation of the OMNeT++ INET Framework for V2X Communications. CoRR (2018)
Ioannis Mavromatis, Andrea Tassi, Robert J. Piechocki, Andrew R. Nix
Poster: Parallel Implementation of the OMNeT++ INET Framework for V2X Communications. VNC (2018)
Ioannis Mavromatis, Andrea Tassi, Robert J. Piechocki, Andrew R. Nix
A City-Scale ITS-G5 Network for Next-Generation Intelligent Transportation Systems: Design Insights and Challenges. ADHOC-NOW (2018)
Ioannis Mavromatis, Andrea Tassi, Robert J. Piechocki, Andrew R. Nix
Efficient V2V Communication Scheme for 5G mmWave Hyper-Connected CAVs. ICC Workshops (2018)
Ioannis Mavromatis, Andrea Tassi, Giovanni Rigazzi, Robert J. Piechocki, Andrew R. Nix
Multi-Radio 5G Architecture for Connected and Autonomous Vehicles: Application and Design Insights. EAI Endorsed Trans. Ind. Networks Intell. Syst. 4 (13) (2018)
Ioannis Mavromatis, Andrea Tassi, Robert J. Piechocki, Andrew R. Nix
Efficient V2V Communication Scheme for 5G MmWave Hyper-Connected CAVs. CoRR (2018)
Ioannis Mavromatis, Andrea Tassi, Robert J. Piechocki, Andrew R. Nix
A City-Scale ITS-G5 Network for Next-Generation Intelligent Transportation Systems: Design Insights and Challenges. CoRR (2018)
Ioannis Mavromatis, Andrea Tassi, Robert J. Piechocki, Andrew R. Nix
Agile calibration process of full-stack simulation frameworks for V2X communications. VNC (2017)
Ioannis Mavromatis, Andrea Tassi, Robert J. Piechocki, Andrew R. Nix
Agile Calibration Process of Full-Stack Simulation Frameworks for V2X Communications. CoRR (2017)
Ioannis Mavromatis, Andrea Tassi, Robert J. Piechocki, Andrew R. Nix
mmWave System for Future ITS: A MAC-Layer Approach for V2X Beam Steering. VTC Fall (2017)
Ioannis Mavromatis, Andrea Tassi, Robert J. Piechocki, Andrew R. Nix
MmWave System for Future ITS: A MAC-layer Approach for V2X Beam Steering. CoRR (2017)
Ioannis Mavromatis, Andrea Tassi, Robert J. Piechocki, Andrew R. Nix
Beam Alignment for Millimetre Wave Links with Motion Prediction of Autonomous Vehicles. CoRR (2017)