Aftab Khan

Orcid: 0000-0002-3573-6240

Affiliations:
  • Toshiba Europe Limited, Bristol, UK
  • Newcastle University, UK (former)


According to our database1, Aftab Khan authored at least 57 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

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

Hierarchical and Decentralised Federated Learning.
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

Federated Deep Learning for Intrusion Detection in IoT Networks.
Proceedings of the IEEE Global Communications Conference, 2023

Evaluating Concept Drift Detectors on Real-World Data.
Proceedings of the 2023 International Conference on embedded Wireless Systems and Networks, 2023

FROST: Towards Energy-efficient AI-on-5G Platforms - A GPU Power Capping Evaluation.
Proceedings of the IEEE Conference on Standards for Communications and Networking, 2023

Client Tuned Federated Learning for RSSI-based Indoor Localisation.
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

Demo: LE3D: A Privacy-preserving Lightweight Data Drift Detection Framework.
Proceedings of the 20th IEEE Consumer Communications & Networking Conference, 2023

Tiny but Mighty: Embedded Machine Learning for Indoor Wireless Localization.
Proceedings of the 20th IEEE Consumer Communications & Networking Conference, 2023

2022
Accelerated Map Matching for GPS Trajectories.
IEEE Trans. Intell. Transp. Syst., 2022

Resource-Interaction Graph: Efficient Graph Representation for Anomaly Detection.
CoRR, 2022

A Dataset of Images of Public Streetlights with Operational Monitoring using Computer Vision Techniques.
CoRR, 2022

An Intrusion Detection System Based on Deep Belief Networks.
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

Deep Transfer Learning for WiFi Localization.
CoRR, 2021

Container Escape Detection for Edge Devices.
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

Wireless Localisation in WiFi using Novel Deep Architectures.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019
Angle-of-Arrival Estimation Using an Adaptive Machine Learning Framework.
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

The Advantage of Computation Offloading in Multi-Access Edge Computing.
Proceedings of the Fourth International Conference on Fog and Mobile Edge Computing, 2019

2018
How Agile is the Adaptive Data Rate Mechanism of LoRaWAN?
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

ParkUs 2.0: Automated Cruise Detection for Parking Availability Inference.
Proceedings of the 14th EAI International Conference on Mobile and Ubiquitous Systems: Computing, 2017

WiLAD: Wireless Localisation through Anomaly Detection.
Proceedings of the 2017 IEEE Global Communications Conference, 2017

ParkUs: A Novel Vehicle Parking Detection System.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Optimising sampling rates for accelerometer-based human activity recognition.
Pattern Recognit. Lett., 2016

HealthyOffice: Mood recognition at work using smartphones and wearable sensors.
Proceedings of the 2016 IEEE International Conference on Pervasive Computing and Communication Workshops, 2016

2015
How did I do?: Automatic Skill Assessment from Activity Data.
GetMobile Mob. Comput. Commun., 2015

A Novel Markov Logic Rule Induction Strategy for Characterizing Sports Video Footage.
IEEE Multim., 2015

Beyond activity recognition: skill assessment from accelerometer data.
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
Anomaly Detection and Knowledge Transfer in Automatic Sports Video Annotation.
Proceedings of the Detection and Identification of Rare Audiovisual Cues, 2012

2010
Lattice-Based Anomaly Rectification for Sport Video Annotation.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

Ball event recognition using hmm for automatic tennis annotation.
Proceedings of the International Conference on Image Processing, 2010


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