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2020 – today
- 2024
[j2]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: 42181-42213 (2024)- [c28]Saptarshi Ghosh, Konstantinos Antonakoglou, Ioannis Mavromatis, Kostas Katsaros:
Intelligent Routing as a Service (iRaaS) A Flexible Routing Framework for Knowledge-Defined Networks. IFIP Networking 2024: 5-13 - [c27]Jikun Gao, Ioannis Mavromatis, Peizheng Li, Pietro Edoardo Carnelli, Aftab Khan:
Mitigating System Bias in Resource Constrained Asynchronous Federated Learning Systems. PerCom Workshops 2024: 727-732 - [c26]Peizheng Li, Ioannis Mavromatis, Aftab Khan:
Past, Present, Future: A Comprehensive Exploration of AI Use Cases in the UMBRELLA IoT Testbed. PerCom Workshops 2024: 787-792 - [i34]Peizheng Li, Ioannis Mavromatis, Aftab Khan:
Past, Present, Future: A Comprehensive Exploration of AI Use Cases in the UMBRELLA IoT Testbed. CoRR abs/2401.13346 (2024) - [i33]Jikun Gao, Ioannis Mavromatis, Peizheng Li, Pietro Edoardo Carnelli, Aftab Khan:
Mitigating System Bias in Resource Constrained Asynchronous Federated Learning Systems. CoRR abs/2401.13366 (2024) - [i32]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 abs/2401.14829 (2024) - [i31]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 abs/2404.18328 (2024) - [i30]Ioannis Mavromatis, Kostas Katsaros, Aftab Khan:
Computing Within Limits: An Empirical Study of Energy Consumption in ML Training and Inference. CoRR abs/2406.14328 (2024) - [i29]Alexander Herzog, Robbie Southam, Ioannis Mavromatis, Aftab Khan:
FedMap: Iterative Magnitude-Based Pruning for Communication-Efficient Federated Learning. CoRR abs/2406.19050 (2024) - [i28]Saptarshi Ghosh, Konstantinos Antonakoglou, Ioannis Mavromatis, Kostas Katsaros:
Intelligent Routing as a Service (iRaaS). CoRR abs/2407.05901 (2024) - [i27]Ioannis Mavromatis, Stefano De Feo, Aftab Khan:
FLAME: Adaptive and Reactive Concept Drift Mitigation for Federated Learning Deployments. CoRR abs/2410.01386 (2024) - [i26]Peizheng Li, Ioannis Mavromatis, Tim Farnham, Adnan Aijaz, Aftab Khan:
Adapting MLOps for Diverse In-Network Intelligence in 6G Era: Challenges and Solutions. CoRR abs/2410.18793 (2024) - 2023
- [c25]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. CCNC 2023: 611-619 - [c24]Ioannis Mavromatis, Aftab Khan:
Demo: LE3D: A Privacy-preserving Lightweight Data Drift Detection Framework. CCNC 2023: 917-918 - [c23]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: 195-201 - [c22]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: 397-402 - [c21]Othmane Belarbi, Theodoros Spyridopoulos, Eirini Anthi, Ioannis Mavromatis, Pietro Edoardo Carnelli, Aftab Khan:
Federated Deep Learning for Intrusion Detection in IoT Networks. GLOBECOM 2023: 237-242 - [c20]Theo Chow, Usman Raza, Ioannis Mavromatis, Aftab Khan:
FLARE: Detection and Mitigation of Concept Drift for Federated Learning based IoT Deployments. IWCMC 2023: 989-995 - [c19]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: 620-627 - [i25]Theo Chow, Usman Raza, Ioannis Mavromatis, Aftab Khan:
FLARE: Detection and Mitigation of Concept Drift for Federated Learning based IoT Deployments. CoRR abs/2305.08504 (2023) - [i24]Othmane Belarbi, Theodoros Spyridopoulos, Eirini Anthi, Ioannis Mavromatis, Pietro Edoardo Carnelli, Aftab Khan:
Federated Deep Learning for Intrusion Detection in IoT Networks. CoRR abs/2306.02715 (2023) - [i23]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. CoRR abs/2310.11131 (2023) - [i22]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, Chris Preston, Rahul, Aftab Khan:
Cybersecurity in Motion: A Survey of Challenges and Requirements for Future Test Facilities of CAVs. CoRR abs/2312.14687 (2023) - 2022
- [c18]Charles Lockie, Ioannis Mavromatis, Aleksandar Stanoev, Yichao Jin, George Oikonomou:
Securing Synchronous Flooding Communications: An Atomic-SDN Implementation. EWSN 2022: 250-255 - [c17]Diya Anand, Ioannis Mavromatis, Pietro Edoardo Carnelli, Aftab Khan:
A Federated Learning-enabled Smart Street Light Monitoring Application: Benefits and Future Challenges. MORSE@MobiCom 2022: 7-12 - [c16]Angeliki Katsenou, Jingwei Mao, Ioannis Mavromatis:
Energy-Rate-Quality Tradeoffs of State-of-the-Art Video Codecs. PCS 2022: 265-269 - [c15]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: 108-113 - [i21]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 abs/2203.04682 (2022) - [i20]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 abs/2203.16915 (2022) - [i19]Charles Lockie, Ioannis Mavromatis, Aleksandar Stanoev, Yichao Jin, George Oikonomou:
Securing Synchronous Flooding Communications: An Atomic-SDN Implementation. CoRR abs/2208.02299 (2022) - [i18]Diya Anand, Ioannis Mavromatis, Pietro Edoardo Carnelli, Aftab Khan:
A Federated Learning-enabled Smart Street Light Monitoring Application: Benefits and Future Challenges. CoRR abs/2208.12996 (2022) - [i17]Ioannis Mavromatis, Aftab Khan:
Demo: LE3D: A Privacy-preserving Lightweight Data Drift Detection Framework. CoRR abs/2211.01827 (2022) - [i16]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 abs/2211.01840 (2022) - [i15]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 Edoardo Carnelli, Theodoros Spyridopoulos, Aftab Khan:
Resource-Interaction Graph: Efficient Graph Representation for Anomaly Detection. CoRR abs/2212.08525 (2022) - 2021
- [c14]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: 1-7 - [c13]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: 532-536 - 2020
- [c12]Ioannis Mavromatis, Robert J. Piechocki, Mahesh Sooriyabandara, Arjun Parekh:
DRIVE: A Digital Network Oracle for Cooperative Intelligent Transportation Systems. ISCC 2020: 1-7 - [c11]Ioannis Mavromatis, Andrea Tassi, Robert J. Piechocki, Mahesh Sooriyabandara:
On Urban Traffic Flow Benefits of Connected and Automated Vehicles. VTC Spring 2020: 1-7 - [i14]Ioannis Mavromatis, Robert J. Piechocki, Mahesh Sooriyabandara, Arjun Parekh:
DRIVE: A Digital Network Oracle for Cooperative Intelligent Transportation Systems. CoRR abs/2007.03680 (2020)
2010 – 2019
- 2019
- [c10]Xiaoyang Wang, Ioannis Mavromatis, Andrea Tassi, Raúl Santos-Rodríguez, Robert J. Piechocki:
Location Anomalies Detection for Connected and Autonomous Vehicles. CAVS 2019: 1-5 - [c9]Ioannis Mavromatis, Andrea Tassi, Robert J. Piechocki:
Operating ITS-G5 DSRC over Unlicensed Bands: A City-Scale Performance Evaluation. PIMRC 2019: 1-7 - [c8]Ioannis Mavromatis, Andrea Tassi, Robert J. Piechocki, Andrew R. Nix:
Efficient Millimeter-Wave Infrastructure Placement for City-Scale ITS. VTC Spring 2019: 1-5 - [c7]Andrea Tassi, Ioannis Mavromatis, Robert J. Piechocki, Andrew R. Nix:
Secure Data Offloading Strategy for Connected and Autonomous Vehicles. VTC Spring 2019: 1-2 - [c6]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: 1-6 - [i13]Andrea Tassi, Ioannis Mavromatis, Robert J. Piechocki, Andrew R. Nix:
Secure Data Offloading Strategy for Connected and Autonomous Vehicles. CoRR abs/1903.01355 (2019) - [i12]Ioannis Mavromatis, Andrea Tassi, Robert J. Piechocki, Andrew R. Nix:
Efficient Millimeter-Wave Infrastructure Placement for City-Scale ITS. CoRR abs/1903.01372 (2019) - [i11]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 abs/1903.01377 (2019) - [i10]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 abs/1903.10289 (2019) - [i9]Ioannis Mavromatis, Andrea Tassi, Robert J. Piechocki:
Operating ITS-G5 DSRC over Unlicensed Bands: A City-Scale Performance Evaluation. CoRR abs/1904.00464 (2019) - [i8]Xiaoyang Wang, Ioannis Mavromatis, Andrea Tassi, Raúl Santos-Rodríguez, Robert J. Piechocki:
Location Anomalies Detection for Connected and Autonomous Vehicles. CoRR abs/1907.00811 (2019) - 2018
- [j1]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): e3 (2018) - [c5]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: 53-63 - [c4]Ioannis Mavromatis, Andrea Tassi, Robert J. Piechocki, Andrew R. Nix:
Efficient V2V Communication Scheme for 5G mmWave Hyper-Connected CAVs. ICC Workshops 2018: 1-6 - [c3]Ioannis Mavromatis, Andrea Tassi, Robert J. Piechocki, Andrew R. Nix:
Poster: Parallel Implementation of the OMNeT++ INET Framework for V2X Communications. VNC 2018: 1-2 - [i7]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 abs/1801.09510 (2018) - [i6]Ioannis Mavromatis, Andrea Tassi, Robert J. Piechocki, Andrew R. Nix:
Efficient V2V Communication Scheme for 5G MmWave Hyper-Connected CAVs. CoRR abs/1802.10472 (2018) - [i5]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 abs/1806.04951 (2018) - [i4]Ioannis Mavromatis, Andrea Tassi, Robert J. Piechocki, Andrew R. Nix:
Poster: Parallel Implementation of the OMNeT++ INET Framework for V2X Communications. CoRR abs/1811.03394 (2018) - 2017
- [c2]Ioannis Mavromatis, Andrea Tassi, Robert J. Piechocki, Andrew R. Nix:
Agile calibration process of full-stack simulation frameworks for V2X communications. VNC 2017: 89-96 - [c1]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: 1-6 - [i3]Ioannis Mavromatis, Andrea Tassi, Robert J. Piechocki, Andrew R. Nix:
Beam Alignment for Millimetre Wave Links with Motion Prediction of Autonomous Vehicles. CoRR abs/1702.04264 (2017) - [i2]Ioannis Mavromatis, Andrea Tassi, Robert J. Piechocki, Andrew R. Nix:
MmWave System for Future ITS: A MAC-layer Approach for V2X Beam Steering. CoRR abs/1705.08684 (2017) - [i1]Ioannis Mavromatis, Andrea Tassi, Robert J. Piechocki, Andrew R. Nix:
Agile Calibration Process of Full-Stack Simulation Frameworks for V2X Communications. CoRR abs/1710.02575 (2017)
Coauthor Index
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last updated on 2024-12-05 21:39 CET by the dblp team
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