ParkUs: A Novel Vehicle Parking Detection System. - Pietro Edoardo Carnelli; Joy Yeh; Mahesh Sooriyabandara; Aftab Khan 001 (AAAI, 2017)

ParkUs 2.0: Automated Cruise Detection for Parking Availability Inference. - Michael Jones; Aftab Khan 001; Parag Kulkarni; Pietro Edoardo Carnelli; Mahesh Sooriyabandara (MobiQuitous, 2017)

Large-Scale VANET Simulations and Performance Analysis using Real Taxi Trace and City Map Data. - Pietro Edoardo Carnelli; Mahesh Sooriyabandara; R. Eddie Wilson (VNC, 2018)

Reducing Parking Space Search Time and Environmental Impacts: A Technology Driven Smart Parking Case Study. - Aftab Khan 001; Parag Kulkarni; Ian Shergold; Michael Jones; Marko Dogramadzi; Pietro Edoardo Carnelli; Mahesh Sooriyabandara (IEEE Technol. Soc. Mag., 2020)

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)

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)

An Intrusion Detection System Based on Deep Belief Networks. - Othmane Belarbi; Aftab Khan 001; Pietro Edoardo Carnelli; Theodoros Spyridopoulos (SciSec, 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)

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)

Client Tuned Federated Learning for RSSI-based Indoor Localisation. - Jonas Paulavicius; Pietro Edoardo Carnelli; Robert J. Piechocki; 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)

Sustainable Edge Intelligence Through Energy-Aware Early Exiting. - Marcello Bullo; Seifallah Jardak; Pietro Edoardo Carnelli; Deniz Gündüz (MLSP, 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)

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)

Energy-Aware Dynamic Neural Inference. - Marcello Bullo; Seifallah Jardak; Pietro Carnelli; Deniz Gündüz (CoRR, 2024)

Selective Updates and Adaptive Masking for Communication-Efficient Federated Learning. - Alexander Herzog; Robbie Southam; Othmane Belarbi; Saif Anwar; Marcello Bullo; Pietro Carnelli; Aftab Khan 001 (IEEE Trans. Green Commun. Netw., 2024)

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)

Gotham Dataset 2025: A Reproducible Large-Scale IoT Network Dataset for Intrusion Detection and Security Research. - Othmane Belarbi; Theodoros Spyridopoulos; Eirini Anthi; Omer F. Rana; Pietro Carnelli; Aftab Khan 001 (CoRR, 2025)