Ball event recognition using hmm for automatic tennis annotation. - Ibrahim Almajai; Josef Kittler; Teofilo de Campos; William J. Christmas; Fei Yan 001; David Windridge; Aftab Khan 001 (ICIP, 2010)

Lattice-Based Anomaly Rectification for Sport Video Annotation. - Aftab Khan 001; David Windridge; Teofilo de Campos; Josef Kittler; William J. Christmas (ICPR, 2010)

Anomaly Detection and Knowledge Transfer in Automatic Sports Video Annotation. - Ibrahim Almajai; Fei Yan 001; Teofilo de Campos; Aftab Khan 001; William J. Christmas; David Windridge; Josef Kittler (Detection and Identification of Rare Audiovisual Cues, 2012)

Automatic correction of annotation boundaries in activity datasets by class separation maximization. - Reuben Kirkham; Aftab Khan 001; Sourav Bhattacharya; Nils Y. Hammerla; Sebastian Mellor; Daniel Roggen; Thomas Ploetz (UbiComp (Adjunct Publication), 2013)

Occupancy monitoring using environmental & context sensors and a hierarchical analysis framework. - Aftab Khan 001; James Nicholson; Sebastian Mellor; Daniel Jackson 002; Karim Ladha; Cassim Ladha; Jon Hand; Joseph Clarke; Patrick Olivier; Thomas Plötz (BuildSys, 2014)

Multilevel Chinese Takeaway Process and Label-Based Processes for Rule Induction in the Context of Automated Sports Video Annotation. - Aftab Khan 001; David Windridge; Josef Kittler (IEEE Trans. Cybern., 2014)

Beyond activity recognition: skill assessment from accelerometer data. - Aftab Khan 001; Sebastian Mellor; Eugen Berlin; Robin J. Thompson; Roisin McNaney; Patrick Olivier; Thomas Plötz (UbiComp, 2015)

A Novel Markov Logic Rule Induction Strategy for Characterizing Sports Video Footage. - David Windridge; Josef Kittler; Fei Yan 001; William J. Christmas; Aftab Khan 001 (IEEE Multim., 2015)

How did I do?: Automatic Skill Assessment from Activity Data. - Aftab Khan 001; Eugen Berlin; Sebastian Mellor; Robin J. Thompson; Nils Y. Hammerla; Roisin McNaney; Patrick Olivier; Thomas Plötz (GetMobile Mob. Comput. Commun., 2015)

HealthyOffice: Mood recognition at work using smartphones and wearable sensors. - Alexandros Zenonos; Aftab Khan 001; Georgios Kalogridis; Stefanos Vatsikas; Tim Lewis; Mahesh Sooriyabandara (PerCom Workshops, 2016)

Optimising sampling rates for accelerometer-based human activity recognition. - Aftab Khan 001; Nils Y. Hammerla; Sebastian Mellor; Thomas Plötz (Pattern Recognit. Lett., 2016)

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

WiLAD: Wireless Localisation through Anomaly Detection. - Cam Ly Nguyen; Aftab Khan 001 (GLOBECOM, 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)

Activity Recognition for Quality Assessment of Batting Shots in Cricket using a Hierarchical Representation. - Aftab Khan 001; James Nicholson; Thomas Plötz (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2017)

How Agile is the Adaptive Data Rate Mechanism of LoRaWAN? - Shengyang Li; Usman Raza; Aftab Khan 001 (GLOBECOM, 2018)

The Advantage of Computation Offloading in Multi-Access Edge Computing. - Raghubir Singh; Simon Armour; Aftab Khan 001; Mahesh Sooriyabandara; George Oikonomou (FMEC, 2019)

Standing on the Shoulders of Giants: AI-Driven Calibration of Localisation Technologies. - Aftab Khan 001; Tim Farnham; Roget Kou; Usman Raza; Thajanee Premalal; Aleksandar Stanoev; William Thompson (GLOBECOM, 2019)

Energy Efficient Communication among Wearable Devices using Optimized Motion Detection. - Xin Yao; Aftab Khan 001; Yichao Jin (ISCC, 2019)

Dataset: Indoor Localization with Narrow-band, Ultra-Wideband, and Motion Capture Systems. - Usman Raza; Aftab Khan 001; Roget Kou; Tim Farnham; Thajanee Premalal; Aleksandar Stanoev; William Thompson (DATA@SenSys, 2019)

Angle-of-Arrival Estimation Using an Adaptive Machine Learning Framework. - Aftab Khan 001; Stephen Wang 001; Ziming Zhu (IEEE Commun. Lett., 2019)

Wireless Localisation in WiFi using Novel Deep Architectures. - Peizheng Li; Han Cui; Aftab Khan 001; Usman Raza; Robert J. Piechocki; Angela Doufexi; Tim Farnham (ICPR, 2020)

Heuristic Approaches for Computational Offloading in Multi-Access Edge Computing Networks. - Raghubir Singh; Simon Armour; Aftab Khan 001; Mahesh Sooriyabandara; George Oikonomou (PIMRC, 2020)

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)

Towards Multi-Criteria Heuristic Optimization for Computational Offloading in Multi-Access Edge Computing. - Raghubir Singh; Simon Armour; Aftab Khan 001; Mahesh Sooriyabandara; George Oikonomou (HPSR, 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)

Deep Transfer Learning for WiFi Localization. - Peizheng Li; Han Cui; Aftab Khan 001; Usman Raza; Robert J. Piechocki; Angela Doufexi; Tim Farnham (CoRR, 2021)

Generalized and Efficient Skill Assessment from IMU Data with Applications in Gymnastics and Medical Training. - Aftab Khan 001; Sebastian Mellor; Rachel King; Balazs Janko; William S. Harwin; R. Simon Sherratt; Ian Craddock; Thomas Plötz (ACM Trans. Comput. Heal., 2021)

Perception Clusters: Automated Mood Recognition Using a Novel Cluster-Driven Modelling System. - Aftab Khan 001; Alexandros Zenonos; Georgios Kalogridis; Yaowei Wang; Stefanos Vatsikas; Mahesh Sooriyabandara (ACM Trans. Comput. Heal., 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)

Accelerated Map Matching for GPS Trajectories. - Marko Dogramadzi; Aftab Khan 001 (IEEE Trans. Intell. Transp. Syst., 2022)

Tiny but Mighty: Embedded Machine Learning for Indoor Wireless Localization. - Ben Jones; Usman Raza; Aftab Khan 001 (CCNC, 2023)

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)

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)

Demo: BuildTwin: Towards Real-Time High-Fidelity Digital Twin for Smart Building Management. - Zhizhao Liang; Yichao Jin; Jagdeep Singh; Aftab Khan 001 (ICNP, 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)

Hierarchical and Decentralised Federated Learning. - Omer F. Rana; Theodoros Spyridopoulos; Nathaniel Hudson; Matt Baughman; Kyle Chard; Ian T. Foster; Aftab Khan 001 (CoRR, 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)

Toward Multi-Service Edge-Intelligence Paradigm: Temporal-Adaptive Prediction for Time-Critical Control over Wireless. - Adnan Aijaz; Nan Jiang 004; Aftab Khan 001 (IEEE Internet Things Mag., 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)

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)

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)

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

Large Generative AI Models meet Open Networks for 6G: Integration, Platform, and Monetization. - Peizheng Li; Adrián Sánchez-Mompó; Tim Farnham; Aftab Khan 001; Adnan Aijaz (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)

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)

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)