Aftab Khan
Orcid: 0000-0002-3573-6240Affiliations:
- Toshiba Europe Limited, Bristol, UK
- Newcastle University, UK (former)
According to our database1,
Aftab Khan
authored at least 60 papers
between 2010 and 2025.
Collaborative distances:
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Bibliography
2025
Green MLOps to Green GenOps: An Empirical Study of Energy Consumption in Discriminative and Generative AI Operations.
CoRR, March, 2025
Gotham Dataset 2025: A Reproducible Large-Scale IoT Network Dataset for Intrusion Detection and Security Research.
CoRR, February, 2025
Collaborative intrusion detection in resource-constrained IoT environments: Challenges, methods, and future directions a review.
J. Inf. Secur. Appl., 2025
2024
Selective Updates and Adaptive Masking for Communication-Efficient Federated Learning.
IEEE Trans. Green Commun. Netw., June, 2024
Adapting MLOps for Diverse In-Network Intelligence in 6G Era: Challenges and Solutions.
CoRR, 2024
Large Generative AI Models meet Open Networks for 6G: Integration, Platform, and Monetization.
CoRR, 2024
FLAME: Adaptive and Reactive Concept Drift Mitigation for Federated Learning Deployments.
CoRR, 2024
FedMap: Iterative Magnitude-Based Pruning for Communication-Efficient Federated Learning.
CoRR, 2024
Computing Within Limits: An Empirical Study of Energy Consumption in ML Training and Inference.
CoRR, 2024
UMBRELLA: A One-stop Shop Bridging the Gap from Lab to Real-World IoT Experimentation.
CoRR, 2024
UMBRELLA: A One-Stop Shop Bridging the Gap From Lab to Real-World IoT Experimentation.
IEEE Access, 2024
Past, Present, Future: A Comprehensive Exploration of AI Use Cases in the UMBRELLA IoT Testbed.
Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2024
Mitigating System Bias in Resource Constrained Asynchronous Federated Learning Systems.
Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2024
2023
Toward Multi-Service Edge-Intelligence Paradigm: Temporal-Adaptive Prediction for Time-Critical Control over Wireless.
IEEE Internet Things Mag., March, 2023
Cybersecurity in Motion: A Survey of Challenges and Requirements for Future Test Facilities of CAVs.
CoRR, 2023
Multi-stage Attack Detection and Prediction Using Graph Neural Networks: An IoT Feasibility Study.
Proceedings of the 22nd IEEE International Conference on Trust, 2023
FLARE: Detection and Mitigation of Concept Drift for Federated Learning based IoT Deployments.
Proceedings of the International Wireless Communications and Mobile Computing, 2023
Demo: BuildTwin: Towards Real-Time High-Fidelity Digital Twin for Smart Building Management.
Proceedings of the 31st IEEE International Conference on Network Protocols, 2023
Proceedings of the IEEE Global Communications Conference, 2023
Proceedings of the 2023 International Conference on embedded Wireless Systems and Networks, 2023
Proceedings of the IEEE Conference on Standards for Communications and Networking, 2023
Proceedings of the 20th IEEE Consumer Communications & Networking Conference, 2023
LE3D: A Lightweight Ensemble Framework of Data Drift Detectors for Resource-Constrained Devices.
Proceedings of the 20th IEEE Consumer Communications & Networking Conference, 2023
Proceedings of the 20th IEEE Consumer Communications & Networking Conference, 2023
Proceedings of the 20th IEEE Consumer Communications & Networking Conference, 2023
2022
IEEE Trans. Intell. Transp. Syst., 2022
CoRR, 2022
A Dataset of Images of Public Streetlights with Operational Monitoring using Computer Vision Techniques.
CoRR, 2022
Proceedings of the Science of Cyber Security - 4th International Conference, 2022
A Federated Learning-enabled Smart Street Light Monitoring Application: Benefits and Future Challenges.
Proceedings of the 1st ACM Workshop on AI Empowered Mobile and Wireless Sensing, 2022
2021
Perception Clusters: Automated Mood Recognition Using a Novel Cluster-Driven Modelling System.
ACM Trans. Comput. Heal., 2021
Generalized and Efficient Skill Assessment from IMU Data with Applications in Gymnastics and Medical Training.
ACM Trans. Comput. Heal., 2021
Proceedings of the SenSys '21: The 19th ACM Conference on Embedded Networked Sensor Systems, Coimbra, Portugal, November 15, 2021
Towards Multi-Criteria Heuristic Optimization for Computational Offloading in Multi-Access Edge Computing.
Proceedings of the 22nd IEEE International Conference on High Performance Switching and Routing, 2021
2020
Reducing Parking Space Search Time and Environmental Impacts: A Technology Driven Smart Parking Case Study.
IEEE Technol. Soc. Mag., 2020
Heuristic Approaches for Computational Offloading in Multi-Access Edge Computing Networks.
Proceedings of the 31st IEEE Annual International Symposium on Personal, 2020
Proceedings of the 25th International Conference on Pattern Recognition, 2020
2019
IEEE Commun. Lett., 2019
Dataset: Indoor Localization with Narrow-band, Ultra-Wideband, and Motion Capture Systems.
Proceedings of the 2nd Workshop on Data Acquisition To Analysis, 2019
Energy Efficient Communication among Wearable Devices using Optimized Motion Detection.
Proceedings of the 2019 IEEE Symposium on Computers and Communications, 2019
Standing on the Shoulders of Giants: AI-Driven Calibration of Localisation Technologies.
Proceedings of the 2019 IEEE Global Communications Conference, 2019
Proceedings of the Fourth International Conference on Fog and Mobile Edge Computing, 2019
2018
Proceedings of the IEEE Global Communications Conference, 2018
2017
Activity Recognition for Quality Assessment of Batting Shots in Cricket using a Hierarchical Representation.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2017
Proceedings of the 14th EAI International Conference on Mobile and Ubiquitous Systems: Computing, 2017
Proceedings of the 2017 IEEE Global Communications Conference, 2017
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017
2016
Pattern Recognit. Lett., 2016
Proceedings of the 2016 IEEE International Conference on Pervasive Computing and Communication Workshops, 2016
2015
GetMobile Mob. Comput. Commun., 2015
A Novel Markov Logic Rule Induction Strategy for Characterizing Sports Video Footage.
IEEE Multim., 2015
Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2015
2014
Multilevel Chinese Takeaway Process and Label-Based Processes for Rule Induction in the Context of Automated Sports Video Annotation.
IEEE Trans. Cybern., 2014
Occupancy monitoring using environmental & context sensors and a hierarchical analysis framework.
Proceedings of the 1st ACM Conference on Embedded Systems for Energy-Efficient Buildings, 2014
2013
Automatic correction of annotation boundaries in activity datasets by class separation maximization.
Proceedings of the 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2013
2012
Proceedings of the Detection and Identification of Rare Audiovisual Cues, 2012
2010
Proceedings of the 20th International Conference on Pattern Recognition, 2010
Proceedings of the International Conference on Image Processing, 2010