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Tariq Qayyum
Tariq Qayyum
United Arab Emirates University (UAEU)
Dirección de correo verificada de seecs.edu.pk - Página principal
Título
Citado por
Citado por
Año
FogNetSim++: A toolkit for modeling and simulation of distributed fog environment
T Qayyum, AW Malik, MAK Khattak, O Khalid, SU Khan
IEEE Access 6, 63570-63583, 2018
1982018
Leveraging fog computing for sustainable smart farming using distributed simulation
AW Malik, AU Rahman, T Qayyum, SD Ravana
IEEE Internet of Things Journal 7 (4), 3300-3309, 2020
512020
Multi-level resource sharing framework using collaborative fog environment for smart cities
T Qayyum, Z Trabelsi, AW Malik, K Hayawi
IEEE access 9, 21859-21869, 2021
272021
XFogSim: A distributed fog resource management framework for sustainable IoT services
AW Malik, T Qayyum, AU Rahman, MA Khan, O Khalid, SU Khan
IEEE Transactions on Sustainable Computing 6 (4), 691-702, 2020
252020
Trajectory design for uav-based data collection using clustering model in smart farming
T Qayyum, Z Trabelsi, A Malik, K Hayawi
Sensors 22 (1), 37, 2021
242021
Mobility-aware hierarchical fog computing framework for Industrial Internet of Things (IIoT)
T Qayyum, Z Trabelsi, A Waqar Malik, K Hayawi
Journal of Cloud Computing 11 (1), 72, 2022
152022
Trustworthy federated learning: A survey
A Tariq, MA Serhani, F Sallabi, T Qayyum, ES Barka, KA Shuaib
arXiv preprint arXiv:2305.11537, 2023
102023
Modeling and simulation of distributed fog environment using FogNetSim++
T Qayyum, AW Malik, MA Khan, SU Khan
Fog Computing: Theory and Practice, 293-307, 2020
62020
Global aggregation node selection scheme in federated learning for vehicular ad hoc networks (VANETs)
Z Trabelsi, T Qayyum, K Hayawi, M Ali
2022 IEEE International Conference on Omni-layer Intelligent Systems (COINS …, 2022
22022
FL-ODP: An Optimized Differential Privacy Enabled Privacy Preserving Federated Learning
M Iqbal, A Tariq, M Adnan, I Ud Din, T Qayyum
IEEE Access, 2023
12023
Enhancing Fog/Edge Computing Education Using Extended Network Simulator Omnet++ (xFogSim)
T Qayyum, Z Trabelsi, B Alomar, MMA Parambil
2024 IEEE Global Engineering Education Conference (EDUCON), 01-09, 2024
2024
Teaching DNS Spoofing Attack Using a Hands-on Cybersecurity Approach Based on Virtual Kali Linux Platform
Z Trabelsi, MMA Parambil, T Qayyum, B Alomar
2024 IEEE Global Engineering Education Conference (EDUCON), 1-8, 2024
2024
AI and Network Security Curricula: Minding the Gap
B Alomar, Z Trabelsi, T Qayyum, MMA Parambil
2024 IEEE Global Engineering Education Conference (EDUCON), 1-7, 2024
2024
Empowering Trustworthy Client Selection in Edge Federated Learning Leveraging Reinforcement Learning
A Tariq, A Lakas, FM Sallabi, T Qayyum, MA Serhani, E Baraka
2023 IEEE/ACM Symposium on Edge Computing (SEC), 372-377, 2023
2023
Diagnosis of Schizophrenia from EEG signals Using ML Algorithms
T Qayyum, Z Trabelsi, A Tariq, AN Belkacem, MA Serhani
2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2023
2023
Quantum-Enhanced Convolutional Neural Networks for Image Classification
T Qayyum, A Tariq, MW Haseeb, A Lakas, MA Serhani, Z Trabelsi
2023 IEEE Future Networks World Forum (FNWF), 1-7, 2023
2023
Flexible Global Aggregation and Dynamic Client Selection for Federated Learning in Internet of Vehicles
T Qayyum, Z Trabelsi, A Tariq, M Ali, K Hayawi, IU Din
Computers, Materials and Continua 77 (2), 1739, 2023
2023
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