Aftab Khan

80 papers A* 1B 13C 3Misc 2Journal 44Unranked 15
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Multi-Year Urban Streetlight Imagery Dataset for Visual Monitoring and Spatio-Temporal Drift Detection.
CoRR
Peizheng Li, Ioannis Mavromatis, Ajith Sahadevan, Tim Farnham, Adnan Aijaz, Aftab Khan
2025 — conf
A Telecom Generative AI Marketplace for 6G Open Networks: Architecture and Early Evaluation.
WMNC
Peizheng Li, Adrián Sánchez-Mompó, Tim Farnham, Aftab Khan, Adnan Aijaz
2025 J jnl
Collaborative intrusion detection in resource-constrained IoT environments: Challenges, methods, and future directions a review.
J. Inf. Secur. Appl.
Vasilis Ieropoulos, Eirini Anthi, Theodoros Spyridopoulos, Pete Burnap, Ioannis Mavromatis, Aftab Khan, Pietro Carnelli
2025 B conf
FedMapTCS: Communication-Efficient FL Framework with Iterative Magnitude-Based Pruning and Time-Correlated Sparsification.
PIMRC
Robbie Southam, Peizheng Li, Alexander Herzog, Aftab Khan
2025 J jnl
Gotham Dataset 2025: A Reproducible Large-Scale IoT Network Dataset for Intrusion Detection and Security Research.
CoRR
Othmane Belarbi, Theodoros Spyridopoulos, Eirini Anthi, Omer F. Rana, Pietro Carnelli, Aftab Khan
2025 J jnl
Green MLOps to Green GenOps: An Empirical Study of Energy Consumption in Discriminative and Generative AI Operations.
CoRR
Adrián Sánchez-Mompó, Ioannis Mavromatis, Peizheng Li, Konstantinos Katsaros, Aftab Khan
2025 J jnl
Green MLOps to Green GenOps: An Empirical Study of Energy Consumption in Discriminative and Generative AI Operations.
Inf.
Adrián Sánchez-Mompó, Ioannis Mavromatis, Peizheng Li, Konstantinos Katsaros, Aftab Khan
2024 J jnl
Adapting MLOps for Diverse In-Network Intelligence in 6G Era: Challenges and Solutions.
CoRR
Peizheng Li, Ioannis Mavromatis, Tim Farnham, Adnan Aijaz, Aftab Khan
2024 J jnl
Computing Within Limits: An Empirical Study of Energy Consumption in ML Training and Inference.
CoRR
Ioannis Mavromatis, Kostas Katsaros, Aftab Khan
2024 J jnl
FLAME: Adaptive and Reactive Concept Drift Mitigation for Federated Learning Deployments.
CoRR
Ioannis Mavromatis, Stefano De Feo, Aftab Khan
2024 J jnl
FedMap: Iterative Magnitude-Based Pruning for Communication-Efficient Federated Learning.
CoRR
Alexander Herzog, Robbie Southam, Ioannis Mavromatis, Aftab Khan
2024 J jnl
Large Generative AI Models meet Open Networks for 6G: Integration, Platform, and Monetization.
CoRR
Peizheng Li, Adrián Sánchez-Mompó, Tim Farnham, Aftab Khan, Adnan Aijaz
2024 — conf
Mitigating System Bias in Resource Constrained Asynchronous Federated Learning Systems.
PerCom Workshops
Jikun Gao, Ioannis Mavromatis, Peizheng Li, Pietro Edoardo Carnelli, Aftab Khan
2024 J jnl
Mitigating System Bias in Resource Constrained Asynchronous Federated Learning Systems.
CoRR
Jikun Gao, Ioannis Mavromatis, Peizheng Li, Pietro Edoardo Carnelli, Aftab Khan
2024 J jnl
Multi-stage Attack Detection and Prediction Using Graph Neural Networks: An IoT Feasibility Study.
CoRR
Hamdi Friji, Ioannis Mavromatis, Adrián Sánchez-Mompó, Pietro Edoardo Carnelli, Alexis Olivereau, Aftab Khan
2024 — conf
Past, Present, Future: A Comprehensive Exploration of AI Use Cases in the UMBRELLA IoT Testbed.
PerCom Workshops
Peizheng Li, Ioannis Mavromatis, Aftab Khan
2024 J jnl
Past, Present, Future: A Comprehensive Exploration of AI Use Cases in the UMBRELLA IoT Testbed.
CoRR
Peizheng Li, Ioannis Mavromatis, Aftab Khan
2024 J jnl
Selective Updates and Adaptive Masking for Communication-Efficient Federated Learning.
IEEE Trans. Green Commun. Netw.
Alexander Herzog, Robbie Southam, Othmane Belarbi, Saif Anwar, Marcello Bullo, Pietro Carnelli, Aftab Khan
2024 J jnl
UMBRELLA: A One-Stop Shop Bridging the Gap From Lab to Real-World IoT Experimentation.
IEEE Access
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
2024 J jnl
UMBRELLA: A One-stop Shop Bridging the Gap from Lab to Real-World IoT Experimentation.
CoRR
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
2023 — conf
Client Tuned Federated Learning for RSSI-based Indoor Localisation.
CCNC
Jonas Paulavicius, Pietro Edoardo Carnelli, Robert J. Piechocki, Aftab Khan
2023 J jnl
Cybersecurity in Motion: A Survey of Challenges and Requirements for Future Test Facilities of CAVs.
CoRR
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
2023 B conf
Demo: BuildTwin: Towards Real-Time High-Fidelity Digital Twin for Smart Building Management.
ICNP
Zhizhao Liang, Yichao Jin, Jagdeep Singh, Aftab Khan
2023 — conf
Demo: LE3D: A Privacy-preserving Lightweight Data Drift Detection Framework.
CCNC
Ioannis Mavromatis, Aftab Khan
2023 B conf
Evaluating Concept Drift Detectors on Real-World Data.
EWSN
Ufuk Erol, Francesco Raimondo, James Pope, Samuel Gunner, Vijay Kumar, Ioannis Mavromatis, Pietro Edoardo Carnelli, Theodoros Spyridopoulos, Aftab Khan, George Oikonomou
2023 B conf
FLARE: Detection and Mitigation of Concept Drift for Federated Learning based IoT Deployments.
IWCMC
Theo Chow, Usman Raza, Ioannis Mavromatis, Aftab Khan
2023 J jnl
FLARE: Detection and Mitigation of Concept Drift for Federated Learning based IoT Deployments.
CoRR
Theo Chow, Usman Raza, Ioannis Mavromatis, Aftab Khan
2023 — conf
FROST: Towards Energy-efficient AI-on-5G Platforms - A GPU Power Capping Evaluation.
CSCN
Ioannis Mavromatis, Stefano De Feo, Pietro Edoardo Carnelli, Robert J. Piechocki, Aftab Khan
2023 J jnl
FROST: Towards Energy-efficient AI-on-5G Platforms - A GPU Power Capping Evaluation.
CoRR
Ioannis Mavromatis, Stefano De Feo, Pietro Edoardo Carnelli, Robert J. Piechocki, Aftab Khan
2023 B conf
Federated Deep Learning for Intrusion Detection in IoT Networks.
GLOBECOM
Othmane Belarbi, Theodoros Spyridopoulos, Eirini Anthi, Ioannis Mavromatis, Pietro Edoardo Carnelli, Aftab Khan
2023 J jnl
Federated Deep Learning for Intrusion Detection in IoT Networks.
CoRR
Othmane Belarbi, Theodoros Spyridopoulos, Eirini Anthi, Ioannis Mavromatis, Pietro Edoardo Carnelli, Aftab Khan
2023 J jnl
Hierarchical and Decentralised Federated Learning.
CoRR
Omer F. Rana, Theodoros Spyridopoulos, Nathaniel Hudson, Matt Baughman, Kyle Chard, Ian T. Foster, Aftab Khan
2023 — conf
LE3D: A Lightweight Ensemble Framework of Data Drift Detectors for Resource-Constrained Devices.
CCNC
Ioannis Mavromatis, Adrián Sánchez-Mompó, Francesco Raimondo, James Pope, Marcello Bullo, Ingram Weeks, Vijay Kumar, Pietro Edoardo Carnelli, George Oikonomou, Theodoros Spyridopoulos, Aftab Khan
2023 B conf
Multi-stage Attack Detection and Prediction Using Graph Neural Networks: An IoT Feasibility Study.
TrustCom
Hamdi Friji, Ioannis Mavromatis, Adrián Sánchez-Mompó, Pietro Carnelli, Alexis Olivereau, Aftab Khan
2023 — conf
Tiny but Mighty: Embedded Machine Learning for Indoor Wireless Localization.
CCNC
Ben Jones, Usman Raza, Aftab Khan
2023 J jnl
Toward Multi-Service Edge-Intelligence Paradigm: Temporal-Adaptive Prediction for Time-Critical Control over Wireless.
IEEE Internet Things Mag.
Adnan Aijaz, Nan Jiang, Aftab Khan
2022 J jnl
A Dataset of Images of Public Streetlights with Operational Monitoring using Computer Vision Techniques.
CoRR
Ioannis Mavromatis, Aleksandar Stanoev, Pietro Edoardo Carnelli, Yichao Jin, Mahesh Sooriyabandara, Aftab Khan
2022 — conf
A Federated Learning-enabled Smart Street Light Monitoring Application: Benefits and Future Challenges.
MORSE@MobiCom
Diya Anand, Ioannis Mavromatis, Pietro Edoardo Carnelli, Aftab Khan
2022 J jnl
A Federated Learning-enabled Smart Street Light Monitoring Application: Benefits and Future Challenges.
CoRR
Diya Anand, Ioannis Mavromatis, Pietro Edoardo Carnelli, Aftab Khan
2022 J jnl
Accelerated Map Matching for GPS Trajectories.
IEEE Trans. Intell. Transp. Syst.
Marko Dogramadzi, Aftab Khan
2022 — conf
An Intrusion Detection System Based on Deep Belief Networks.
SciSec
Othmane Belarbi, Aftab Khan, Pietro Edoardo Carnelli, Theodoros Spyridopoulos
2022 J jnl
An Intrusion Detection System based on Deep Belief Networks.
CoRR
Othmane Belarbi, Aftab Khan, Pietro Edoardo Carnelli, Theodoros Spyridopoulos
2022 J jnl
Demo: LE3D: A Privacy-preserving Lightweight Data Drift Detection Framework.
CoRR
Ioannis Mavromatis, Aftab Khan
2022 J jnl
LE3D: A Lightweight Ensemble Framework of Data Drift Detectors for Resource-Constrained Devices.
CoRR
Ioannis Mavromatis, Adrián Sánchez-Mompó, Francesco Raimondo, James Pope, Marcello Bullo, Ingram Weeks, Vijay Kumar, Pietro Edoardo Carnelli, George Oikonomou, Theodoros Spyridopoulos, Aftab Khan
2022 J jnl
Resource-Interaction Graph: Efficient Graph Representation for Anomaly Detection.
CoRR
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
2022 J jnl
Toward Multi-Service Edge-Intelligence Paradigm: Temporal-Adaptive Prediction for Time-Critical Control over Wireless.
CoRR
Adnan Aijaz, Nan Jiang, Aftab Khan
2021 Misc conf
Container Escape Detection for Edge Devices.
SenSys
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
2021 J jnl
Deep Transfer Learning for WiFi Localization.
CoRR
Peizheng Li, Han Cui, Aftab Khan, Usman Raza, Robert J. Piechocki, Angela Doufexi, Tim Farnham
2021 J jnl
Generalized and Efficient Skill Assessment from IMU Data with Applications in Gymnastics and Medical Training.
ACM Trans. Comput. Heal.
Aftab Khan, Sebastian Mellor, Rachel King, Balazs Janko, William S. Harwin, R. Simon Sherratt, Ian Craddock, Thomas Plötz
2021 J jnl
Perception Clusters: Automated Mood Recognition Using a Novel Cluster-Driven Modelling System.
ACM Trans. Comput. Heal.
Aftab Khan, Alexandros Zenonos, Georgios Kalogridis, Yaowei Wang, Stefanos Vatsikas, Mahesh Sooriyabandara
2021 C conf
Towards Multi-Criteria Heuristic Optimization for Computational Offloading in Multi-Access Edge Computing.
HPSR
Raghubir Singh, Simon Armour, Aftab Khan, Mahesh Sooriyabandara, George Oikonomou
2020 B conf
Heuristic Approaches for Computational Offloading in Multi-Access Edge Computing Networks.
PIMRC
Raghubir Singh, Simon Armour, Aftab Khan, Mahesh Sooriyabandara, George Oikonomou
2020 J jnl
Reducing Parking Space Search Time and Environmental Impacts: A Technology Driven Smart Parking Case Study.
IEEE Technol. Soc. Mag.
Aftab Khan, Parag Kulkarni, Ian Shergold, Michael Jones, Marko Dogramadzi, Pietro Edoardo Carnelli, Mahesh Sooriyabandara
2020 B conf
Wireless Localisation in WiFi using Novel Deep Architectures.
ICPR
Peizheng Li, Han Cui, Aftab Khan, Usman Raza, Robert J. Piechocki, Angela Doufexi, Tim Farnham
2020 J jnl
Wireless Localisation in WiFi using Novel Deep Architectures.
CoRR
Peizheng Li, Han Cui, Aftab Khan, Usman Raza, Robert J. Piechocki, Angela Doufexi, Tim Farnham
2019 J jnl
Angle-of-Arrival Estimation Using an Adaptive Machine Learning Framework.
IEEE Commun. Lett.
Aftab Khan, Stephen Wang, Ziming Zhu
2019 — conf
Dataset: Indoor Localization with Narrow-band, Ultra-Wideband, and Motion Capture Systems.
DATA@SenSys
Usman Raza, Aftab Khan, Roget Kou, Tim Farnham, Thajanee Premalal, Aleksandar Stanoev, William Thompson
2019 C conf
Energy Efficient Communication among Wearable Devices using Optimized Motion Detection.
ISCC
Xin Yao, Aftab Khan, Yichao Jin
2019 B conf
Standing on the Shoulders of Giants: AI-Driven Calibration of Localisation Technologies.
GLOBECOM
Aftab Khan, Tim Farnham, Roget Kou, Usman Raza, Thajanee Premalal, Aleksandar Stanoev, William Thompson
2019 J jnl
Standing on the Shoulders of Giants: AI-driven Calibration of Localisation Technologies.
CoRR
Aftab Khan, Tim Farnham, Roget Kou, Usman Raza, Thajanee Premalal, Aleksandar Stanoev, William Thompson
2019 — conf
The Advantage of Computation Offloading in Multi-Access Edge Computing.
FMEC
Raghubir Singh, Simon Armour, Aftab Khan, Mahesh Sooriyabandara, George Oikonomou
2018 B conf
How Agile is the Adaptive Data Rate Mechanism of LoRaWAN?
GLOBECOM
Shengyang Li, Usman Raza, Aftab Khan
2018 J jnl
How Agile is the Adaptive Data Rate Mechanism of LoRaWAN?
CoRR
Shengyang Li, Usman Raza, Aftab Khan
2018 J jnl
WiLAD: Wireless Localisation through Anomaly Detection.
CoRR
Cam Ly Nguyen, Aftab Khan
2017 J jnl
Activity Recognition for Quality Assessment of Batting Shots in Cricket using a Hierarchical Representation.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.
Aftab Khan, James Nicholson, Thomas Plötz
2017 C conf
ParkUs 2.0: Automated Cruise Detection for Parking Availability Inference.
MobiQuitous
Michael Jones, Aftab Khan, Parag Kulkarni, Pietro Edoardo Carnelli, Mahesh Sooriyabandara
2017 A* conf
ParkUs: A Novel Vehicle Parking Detection System.
AAAI
Pietro Edoardo Carnelli, Joy Yeh, Mahesh Sooriyabandara, Aftab Khan
2017 B conf
WiLAD: Wireless Localisation through Anomaly Detection.
GLOBECOM
Cam Ly Nguyen, Aftab Khan
2016 — conf
HealthyOffice: Mood recognition at work using smartphones and wearable sensors.
PerCom Workshops
Alexandros Zenonos, Aftab Khan, Georgios Kalogridis, Stefanos Vatsikas, Tim Lewis, Mahesh Sooriyabandara
2016 J jnl
Optimising sampling rates for accelerometer-based human activity recognition.
Pattern Recognit. Lett.
Aftab Khan, Nils Y. Hammerla, Sebastian Mellor, Thomas Plötz
2015 J jnl
A Novel Markov Logic Rule Induction Strategy for Characterizing Sports Video Footage.
IEEE Multim.
David Windridge, Josef Kittler, Fei Yan, William J. Christmas, Aftab Khan
2015 Misc conf
Beyond activity recognition: skill assessment from accelerometer data.
UbiComp
Aftab Khan, Sebastian Mellor, Eugen Berlin, Robin J. Thompson, Roisin McNaney, Patrick Olivier, Thomas Plötz
2015 J jnl
How did I do?: Automatic Skill Assessment from Activity Data.
GetMobile Mob. Comput. Commun.
Aftab Khan, Eugen Berlin, Sebastian Mellor, Robin J. Thompson, Nils Y. Hammerla, Roisin McNaney, Patrick Olivier, Thomas Plötz
2014 J jnl
Multilevel Chinese Takeaway Process and Label-Based Processes for Rule Induction in the Context of Automated Sports Video Annotation.
IEEE Trans. Cybern.
Aftab Khan, David Windridge, Josef Kittler
2014 — conf
Occupancy monitoring using environmental & context sensors and a hierarchical analysis framework.
BuildSys
Aftab Khan, James Nicholson, Sebastian Mellor, Daniel Jackson, Karim Ladha, Cassim Ladha, Jon Hand, Joseph Clarke, Patrick Olivier, Thomas Plötz
2013 — —
Anomaly detection, rule adaptation and rule induction methodologies in the context of automated sports video annotation.
Aftab Khan
2013 — conf
Automatic correction of annotation boundaries in activity datasets by class separation maximization.
UbiComp (Adjunct Publication)
Reuben Kirkham, Aftab Khan, Sourav Bhattacharya, Nils Y. Hammerla, Sebastian Mellor, Daniel Roggen, Thomas Ploetz
2012 — ch.
Anomaly Detection and Knowledge Transfer in Automatic Sports Video Annotation.
Detection and Identification of Rare Audiovisual Cues
Ibrahim Almajai, Fei Yan, Teofilo de Campos, Aftab Khan, William J. Christmas, David Windridge, Josef Kittler
2010 B conf
Ball event recognition using hmm for automatic tennis annotation.
ICIP
Ibrahim Almajai, Josef Kittler, Teofilo de Campos, William J. Christmas, Fei Yan, David Windridge, Aftab Khan
2010 B conf
Lattice-Based Anomaly Rectification for Sport Video Annotation.
ICPR
Aftab Khan, David Windridge, Teofilo de Campos, Josef Kittler, William J. Christmas