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ORCIDAftab Khan 0001
Person information
- affiliation: Toshiba Europe Limited, Bristol, UK
- affiliation (former): Newcastle University, UK
Other persons with the same name
- Aftab Khan — disambiguation page
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Journal Articles
- 2024
[j13]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:
UMBRELLA: A One-Stop Shop Bridging the Gap From Lab to Real-World IoT Experimentation. IEEE Access 12: 42181-42213 (2024)- [j12]Alexander Herzog, Robbie Southam, Othmane Belarbi, Saif Anwar, Marcello Bullo, Pietro Carnelli, Aftab Khan:
Selective Updates and Adaptive Masking for Communication-Efficient Federated Learning. IEEE Trans. Green Commun. Netw. 8(2): 852-864 (2024) - 2023
- [j11]Adnan Aijaz, Nan Jiang, Aftab Khan:
Toward Multi-Service Edge-Intelligence Paradigm: Temporal-Adaptive Prediction for Time-Critical Control over Wireless. IEEE Internet Things Mag. 6(1): 96-101 (2023) - 2022
- [j10]Marko Dogramadzi, Aftab Khan:
Accelerated Map Matching for GPS Trajectories. IEEE Trans. Intell. Transp. Syst. 23(5): 4593-4602 (2022) - 2021
- [j9]Aftab Khan, Sebastian Mellor, Rachel King, Balazs Janko, William S. Harwin, R. Simon Sherratt, Ian Craddock, Thomas Plötz:
Generalized and Efficient Skill Assessment from IMU Data with Applications in Gymnastics and Medical Training. ACM Trans. Comput. Heal. 2(1): 2:1-2:21 (2021) - [j8]Aftab Khan, Alexandros Zenonos, Georgios Kalogridis, Yaowei Wang, Stefanos Vatsikas, Mahesh Sooriyabandara:
Perception Clusters: Automated Mood Recognition Using a Novel Cluster-Driven Modelling System. ACM Trans. Comput. Heal. 2(1): 4:1-4:16 (2021) - 2020
- [j7]Aftab Khan, Parag Kulkarni, Ian Shergold, Michael Jones, Marko Dogramadzi, Pietro Edoardo Carnelli, Mahesh Sooriyabandara:
Reducing Parking Space Search Time and Environmental Impacts: A Technology Driven Smart Parking Case Study. IEEE Technol. Soc. Mag. 39(3): 62-75 (2020) - 2019
- [j6]Aftab Khan, Stephen Wang, Ziming Zhu:
Angle-of-Arrival Estimation Using an Adaptive Machine Learning Framework. IEEE Commun. Lett. 23(2): 294-297 (2019) - 2017
- [j5]Aftab Khan, James Nicholson, Thomas Plötz:
Activity Recognition for Quality Assessment of Batting Shots in Cricket using a Hierarchical Representation. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 1(3): 62:1-62:31 (2017) - 2016
- [j4]Aftab Khan, Nils Y. Hammerla, Sebastian Mellor, Thomas Plötz:
Optimising sampling rates for accelerometer-based human activity recognition. Pattern Recognit. Lett. 73: 33-40 (2016) - 2015
- [j3]David Windridge, Josef Kittler, Fei Yan, William J. Christmas, Aftab Khan:
A Novel Markov Logic Rule Induction Strategy for Characterizing Sports Video Footage. IEEE Multim. 22(2): 24-35 (2015) - [j2]Aftab Khan, Eugen Berlin, Sebastian Mellor, Robin J. Thompson, Nils Y. Hammerla, Roisin McNaney, Patrick Olivier, Thomas Plötz:
How did I do?: Automatic Skill Assessment from Activity Data. GetMobile Mob. Comput. Commun. 19(4): 18-22 (2015) - 2014
- [j1]Aftab Khan, David Windridge, Josef Kittler:
Multilevel Chinese Takeaway Process and Label-Based Processes for Rule Induction in the Context of Automated Sports Video Annotation. IEEE Trans. Cybern. 44(10): 1910-1923 (2014)
Conference and Workshop Papers
- 2024
- [c32]Jikun Gao, Ioannis Mavromatis, Peizheng Li, Pietro Edoardo Carnelli, Aftab Khan:
Mitigating System Bias in Resource Constrained Asynchronous Federated Learning Systems. PerCom Workshops 2024: 727-732 - [c31]Peizheng Li, Ioannis Mavromatis, Aftab Khan:
Past, Present, Future: A Comprehensive Exploration of AI Use Cases in the UMBRELLA IoT Testbed. PerCom Workshops 2024: 787-792 - 2023
- [c30]Jonas Paulavicius, Pietro Edoardo Carnelli, Robert J. Piechocki, Aftab Khan:
Client Tuned Federated Learning for RSSI-based Indoor Localisation. CCNC 2023: 170-175 - [c29]Ben Jones, Usman Raza, Aftab Khan:
Tiny but Mighty: Embedded Machine Learning for Indoor Wireless Localization. CCNC 2023: 176-181 - [c28]Ioannis Mavromatis, Adrián Sánchez-Mompó, Francesco Raimondo, James Pope, Marcello Bullo, Ingram Weeks, Vijay Kumar, Pietro Edoardo Carnelli, George Oikonomou, Theodoros Spyridopoulos, Aftab Khan:
LE3D: A Lightweight Ensemble Framework of Data Drift Detectors for Resource-Constrained Devices. CCNC 2023: 611-619 - [c27]Ioannis Mavromatis, Aftab Khan:
Demo: LE3D: A Privacy-preserving Lightweight Data Drift Detection Framework. CCNC 2023: 917-918 - [c26]Ioannis Mavromatis, Stefano De Feo, Pietro Edoardo Carnelli, Robert J. Piechocki, Aftab Khan:
FROST: Towards Energy-efficient AI-on-5G Platforms - A GPU Power Capping Evaluation. CSCN 2023: 195-201 - [c25]Ufuk Erol, Francesco Raimondo, James Pope, Samuel Gunner, Vijay Kumar, Ioannis Mavromatis, Pietro Edoardo Carnelli, Theodoros Spyridopoulos, Aftab Khan, George Oikonomou:
Evaluating Concept Drift Detectors on Real-World Data. EWSN 2023: 397-402 - [c24]Othmane Belarbi, Theodoros Spyridopoulos, Eirini Anthi, Ioannis Mavromatis, Pietro Edoardo Carnelli, Aftab Khan:
Federated Deep Learning for Intrusion Detection in IoT Networks. GLOBECOM 2023: 237-242 - [c23]Zhizhao Liang, Yichao Jin, Jagdeep Singh, Aftab Khan:
Demo: BuildTwin: Towards Real-Time High-Fidelity Digital Twin for Smart Building Management. ICNP 2023: 1-2 - [c22]Theo Chow, Usman Raza, Ioannis Mavromatis, Aftab Khan:
FLARE: Detection and Mitigation of Concept Drift for Federated Learning based IoT Deployments. IWCMC 2023: 989-995 - [c21]Hamdi Friji, Ioannis Mavromatis, Adrián Sánchez-Mompó, Pietro Carnelli, Alexis Olivereau, Aftab Khan:
Multi-stage Attack Detection and Prediction Using Graph Neural Networks: An IoT Feasibility Study. TrustCom 2023: 620-627 - 2022
- [c20]Diya Anand, Ioannis Mavromatis, Pietro Edoardo Carnelli, Aftab Khan:
A Federated Learning-enabled Smart Street Light Monitoring Application: Benefits and Future Challenges. MORSE@MobiCom 2022: 7-12 - [c19]Othmane Belarbi, Aftab Khan, Pietro Edoardo Carnelli, Theodoros Spyridopoulos:
An Intrusion Detection System Based on Deep Belief Networks. SciSec 2022: 377-392 - 2021
- [c18]Raghubir Singh, Simon Armour, Aftab Khan, Mahesh Sooriyabandara, George Oikonomou:
Towards Multi-Criteria Heuristic Optimization for Computational Offloading in Multi-Access Edge Computing. HPSR 2021: 1-6 - [c17]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:
Container Escape Detection for Edge Devices. SenSys 2021: 532-536 - 2020
- [c16]Peizheng Li, Han Cui, Aftab Khan, Usman Raza, Robert J. Piechocki, Angela Doufexi, Tim Farnham:
Wireless Localisation in WiFi using Novel Deep Architectures. ICPR 2020: 6251-6258 - [c15]Raghubir Singh, Simon Armour, Aftab Khan, Mahesh Sooriyabandara, George Oikonomou:
Heuristic Approaches for Computational Offloading in Multi-Access Edge Computing Networks. PIMRC 2020: 1-7 - 2019
- [c14]Raghubir Singh, Simon Armour, Aftab Khan, Mahesh Sooriyabandara, George Oikonomou:
The Advantage of Computation Offloading in Multi-Access Edge Computing. FMEC 2019: 289-294 - [c13]Aftab Khan, Tim Farnham, Roget Kou, Usman Raza, Thajanee Premalal, Aleksandar Stanoev, William Thompson:
Standing on the Shoulders of Giants: AI-Driven Calibration of Localisation Technologies. GLOBECOM 2019: 1-6 - [c12]Xin Yao, Aftab Khan, Yichao Jin:
Energy Efficient Communication among Wearable Devices using Optimized Motion Detection. ISCC 2019: 1-6 - [c11]Usman Raza, Aftab Khan, Roget Kou, Tim Farnham, Thajanee Premalal, Aleksandar Stanoev, William Thompson:
Dataset: Indoor Localization with Narrow-band, Ultra-Wideband, and Motion Capture Systems. DATA@SenSys 2019: 34-36 - 2018
- [c10]Shengyang Li, Usman Raza, Aftab Khan:
How Agile is the Adaptive Data Rate Mechanism of LoRaWAN? GLOBECOM 2018: 206-212 - 2017
- [c9]Pietro Edoardo Carnelli, Joy Yeh, Mahesh Sooriyabandara, Aftab Khan:
ParkUs: A Novel Vehicle Parking Detection System. AAAI 2017: 4650-4656 - [c8]Cam Ly Nguyen, Aftab Khan:
WiLAD: Wireless Localisation through Anomaly Detection. GLOBECOM 2017: 1-7 - [c7]Michael Jones, Aftab Khan, Parag Kulkarni, Pietro Edoardo Carnelli, Mahesh Sooriyabandara:
ParkUs 2.0: Automated Cruise Detection for Parking Availability Inference. MobiQuitous 2017: 242-251 - 2016
- [c6]Alexandros Zenonos, Aftab Khan, Georgios Kalogridis, Stefanos Vatsikas, Tim Lewis, Mahesh Sooriyabandara:
HealthyOffice: Mood recognition at work using smartphones and wearable sensors. PerCom Workshops 2016: 1-6 - 2015
- [c5]Aftab Khan, Sebastian Mellor, Eugen Berlin, Robin J. Thompson, Roisin McNaney, Patrick Olivier, Thomas Plötz:
Beyond activity recognition: skill assessment from accelerometer data. UbiComp 2015: 1155-1166 - 2014
- [c4]Aftab Khan, James Nicholson, Sebastian Mellor, Daniel Jackson, Karim Ladha, Cassim Ladha, Jon Hand, Joseph Clarke, Patrick Olivier, Thomas Plötz:
Occupancy monitoring using environmental & context sensors and a hierarchical analysis framework. BuildSys@SenSys 2014: 90-99 - 2013
- [c3]Reuben Kirkham, Aftab Khan, Sourav Bhattacharya, Nils Y. Hammerla, Sebastian Mellor, Daniel Roggen, Thomas Ploetz:
Automatic correction of annotation boundaries in activity datasets by class separation maximization. UbiComp (Adjunct Publication) 2013: 673-678 - 2010
- [c2]Ibrahim Almajai, Josef Kittler, Teofilo de Campos, William J. Christmas, Fei Yan, David Windridge, Aftab Khan:
Ball event recognition using hmm for automatic tennis annotation. ICIP 2010: 1509-1512 - [c1]Aftab Khan, David Windridge, Teofilo de Campos, Josef Kittler, William J. Christmas:
Lattice-Based Anomaly Rectification for Sport Video Annotation. ICPR 2010: 4372-4375
Parts in Books or Collections
- 2012
- [p1]Ibrahim Almajai, Fei Yan, Teofilo de Campos, Aftab Khan, William J. Christmas, David Windridge, Josef Kittler:
Anomaly Detection and Knowledge Transfer in Automatic Sports Video Annotation. Detection and Identification of Rare Audiovisual Cues 2012: 109-117
Informal and Other Publications
- 2024
- [i23]Peizheng Li, Ioannis Mavromatis, Aftab Khan:
Past, Present, Future: A Comprehensive Exploration of AI Use Cases in the UMBRELLA IoT Testbed. CoRR abs/2401.13346 (2024) - [i22]Jikun Gao, Ioannis Mavromatis, Peizheng Li, Pietro Edoardo Carnelli, Aftab Khan:
Mitigating System Bias in Resource Constrained Asynchronous Federated Learning Systems. CoRR abs/2401.13366 (2024) - [i21]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:
UMBRELLA: A One-stop Shop Bridging the Gap from Lab to Real-World IoT Experimentation. CoRR abs/2401.14829 (2024) - [i20]Hamdi Friji, Ioannis Mavromatis, Adrián Sánchez-Mompó, Pietro Edoardo Carnelli, Alexis Olivereau, Aftab Khan:
Multi-stage Attack Detection and Prediction Using Graph Neural Networks: An IoT Feasibility Study. CoRR abs/2404.18328 (2024) - [i19]Ioannis Mavromatis, Kostas Katsaros, Aftab Khan:
Computing Within Limits: An Empirical Study of Energy Consumption in ML Training and Inference. CoRR abs/2406.14328 (2024) - [i18]Alexander Herzog, Robbie Southam, Ioannis Mavromatis, Aftab Khan:
FedMap: Iterative Magnitude-Based Pruning for Communication-Efficient Federated Learning. CoRR abs/2406.19050 (2024) - 2023
- [i17]Omer F. Rana, Theodoros Spyridopoulos, Nathaniel Hudson, Matt Baughman, Kyle Chard, Ian T. Foster, Aftab Khan:
Hierarchical and Decentralised Federated Learning. CoRR abs/2304.14982 (2023) - [i16]Theo Chow, Usman Raza, Ioannis Mavromatis, Aftab Khan:
FLARE: Detection and Mitigation of Concept Drift for Federated Learning based IoT Deployments. CoRR abs/2305.08504 (2023) - [i15]Othmane Belarbi, Theodoros Spyridopoulos, Eirini Anthi, Ioannis Mavromatis, Pietro Edoardo Carnelli, Aftab Khan:
Federated Deep Learning for Intrusion Detection in IoT Networks. CoRR abs/2306.02715 (2023) - [i14]Ioannis Mavromatis, Stefano De Feo, Pietro Edoardo Carnelli, Robert J. Piechocki, Aftab Khan:
FROST: Towards Energy-efficient AI-on-5G Platforms - A GPU Power Capping Evaluation. CoRR abs/2310.11131 (2023) - [i13]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:
Cybersecurity in Motion: A Survey of Challenges and Requirements for Future Test Facilities of CAVs. CoRR abs/2312.14687 (2023) - 2022
- [i12]Ioannis Mavromatis, Aleksandar Stanoev, Pietro Edoardo Carnelli, Yichao Jin, Mahesh Sooriyabandara, Aftab Khan:
A Dataset of Images of Public Streetlights with Operational Monitoring using Computer Vision Techniques. CoRR abs/2203.16915 (2022) - [i11]Othmane Belarbi, Aftab Khan, Pietro Edoardo Carnelli, Theodoros Spyridopoulos:
An Intrusion Detection System based on Deep Belief Networks. CoRR abs/2207.02117 (2022) - [i10]Diya Anand, Ioannis Mavromatis, Pietro Edoardo Carnelli, Aftab Khan:
A Federated Learning-enabled Smart Street Light Monitoring Application: Benefits and Future Challenges. CoRR abs/2208.12996 (2022) - [i9]Ioannis Mavromatis, Aftab Khan:
Demo: LE3D: A Privacy-preserving Lightweight Data Drift Detection Framework. CoRR abs/2211.01827 (2022) - [i8]Ioannis Mavromatis, Adrián Sánchez-Mompó, Francesco Raimondo, James Pope, Marcello Bullo, Ingram Weeks, Vijay Kumar, Pietro Edoardo Carnelli, George Oikonomou, Theodoros Spyridopoulos, Aftab Khan:
LE3D: A Lightweight Ensemble Framework of Data Drift Detectors for Resource-Constrained Devices. CoRR abs/2211.01840 (2022) - [i7]Adnan Aijaz, Nan Jiang, Aftab Khan:
Toward Multi-Service Edge-Intelligence Paradigm: Temporal-Adaptive Prediction for Time-Critical Control over Wireless. CoRR abs/2212.03809 (2022) - [i6]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:
Resource-Interaction Graph: Efficient Graph Representation for Anomaly Detection. CoRR abs/2212.08525 (2022) - 2021
- [i5]Peizheng Li, Han Cui, Aftab Khan, Usman Raza, Robert J. Piechocki, Angela Doufexi, Tim Farnham:
Deep Transfer Learning for WiFi Localization. CoRR abs/2103.05123 (2021) - 2020
- [i4]Peizheng Li, Han Cui, Aftab Khan, Usman Raza, Robert J. Piechocki, Angela Doufexi, Tim Farnham:
Wireless Localisation in WiFi using Novel Deep Architectures. CoRR abs/2010.08658 (2020) - 2019
- [i3]Aftab Khan, Tim Farnham, Roget Kou, Usman Raza, Thajanee Premalal, Aleksandar Stanoev, William Thompson:
Standing on the Shoulders of Giants: AI-driven Calibration of Localisation Technologies. CoRR abs/1905.13118 (2019) - 2018
- [i2]Cam Ly Nguyen, Aftab Khan:
WiLAD: Wireless Localisation through Anomaly Detection. CoRR abs/1801.05938 (2018) - [i1]Shengyang Li, Usman Raza, Aftab Khan:
How Agile is the Adaptive Data Rate Mechanism of LoRaWAN? CoRR abs/1808.09286 (2018)
Coauthor Index
Pietro Edoardo Carnelli
aka: Pietro Carnelli
aka: Pietro Carnelli
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