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    Publications

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    1. H. Aly, E. Altamimi, A. Al-Ali, A. Al-Ali, and Q. Malluhi, "Battery-Induced Load Hiding and Its Utility Consequences," 4th International Conference on Smart Grid and Renewable Energy, SGRE 2024 - Proceedings, IEEE, 2024.
    2. H. Mousa, M. R. Rozaimi, and S. M. Zughaier, "Vitamin D status affects proteomic profile of HDL-associated proteins and inflammatory mediators in dyslipidemia," The Journal of Nutritional Biochemistry, Elsevier Ltd, 2024.
    3. N. Li, M. Ma, and H. Wang, "ASAP-IIOT: An Anonymous Secure Authentication Protocol for Industrial Internet of Things," Sensors, MDPI, 2024.
    4. R. AlSaad, Q. Malluhi, A. Abd-alrazaq, and S. Boughorbel, "Temporal self-attention for risk prediction from electronic health records using non-stationary kernel approximation," Artificial Intelligence in Medicine, Elsevier Ltd, 2024.
    5. W. Yu, R. Zhang, M. Ma, and C. Wang, "A Noval and Efficient Three-Party Identity Authentication and Key Negotiation Protocol Based on Elliptic Curve Cryptography in VANETs," Electronics, MDPI, 2024.
    6. E. Zaidan, A. Abulibdeh, R. Jabbar, N. C. Onat, and M. Kucukvar, "Evaluating the impact of the COVID-19 pandemic on the geospatial distribution of buildings' carbon footprints associated with electricity consumption," Energy Strategy Reviews, Elsevier Ltd, 2024.
    7. J. Zhou, Y. Zhang, J. Wang, and P. N. Suganthan, "Localized Constrained-Domination Principle for Constrained Multiobjective Optimization," IEEE Transactions on Systems, Man, and Cybernetics: Systems, IEEE, 2024.
    8. Y. Ren, K. Gao, Y. Fu, D. Li, and P. N. Suganthan, "Ensemble artificial bee colony algorithm with Q-learning for scheduling Bi-objective disassembly line," Applied Soft Computing, Elsevier Ltd, 2024.
    9. Y. Song, J. Ou, W. Pedrycz, P. N. Suganthan, X. Wang, L. Xing, and Y. Zhang, "Generalized Model and Deep Reinforcement Learning-Based Evolutionary Method for Multitype Satellite Observation Scheduling," IEEE Transactions on Systems, Man, and Cybernetics: Systems, IEEE, 2024.
    10. M. Sajid, A. K. Malik, M. Tanveer, and P. N. Suganthan, "Neuro-Fuzzy Random Vector Functional Link Neural Network for Classification and Regression Problems," IEEE Transactions on Fuzzy Systems, IEEE, 2024.
    11. R. Pilli, T. Goel, R. Murugan, M. Tanveer, and P. N. Suganthan, "Kernel Ridge Regression-based Randomized Network for Brain Age Classification and Estimation," IEEE Transactions on Cognitive and Developmental Systems, IEEE, 2024.
    12. A. G. Gad, E. H. Houssein, M. Zhou, P. N. Suganthan, and Y. M. Wazery, "Damping-Assisted Evolutionary Swarm Intelligence for Industrial IoT Task Scheduling in Cloud Computing," IEEE Internet of Things Journal, IEEE, 2024.
    13. S. Sun, G. Xiong, and P. N. Suganthan, "Orthogonal Experimental Design Based Binary Optimization Without Iteration for Fault Section Diagnosis of Power Systems," IEEE Transactions on Industrial Informatics, IEEE Computer Society, 2024.
    14. H. Yu, K. Gao, N. Wu, M. Zhou, P. N. Suganthan, and S. Wang, "Scheduling Multiobjective Dynamic Surgery Problems via $Q$-Learning-Based Meta-Heuristics," IEEE Transactions on Systems, Man, and Cybernetics: Systems, IEEE, 2024.
    15. J. Liang, Y. Zhang, K. Chen, B. Qu, K. Yu, C. Yue, and P. N. Suganthan, "An evolutionary multiobjective method based on dominance and decomposition for feature selection in classification," Science China Information Sciences, Science China Press, 2024.
    16. V. Snášel, M. Štěpnička, V. Ojha, P. N. Suganthan, R. Gao, and L. Kong, "Large-scale data classification based on the integrated fusion of fuzzy learning and graph neural network," Information Fusion, Elsevier B.V., 2024.
    17. K. Qiao, J. Liang, K. Yu, W. Guo, C. Yue, B. Qu, and P. N. Suganthan, "Benchmark problems for large-scale constrained multi-objective optimization with baseline results," Swarm and Evolutionary Computation, Elsevier B.V., 2024.
    1. A. Q. Alban, A. Y. Alhaddad, A. Al-Ali, W.-C. So, O. Connor, M. Ayesh, U. Ahmed Qidwai, and J.-J. Cabibihan, "Heart Rate as a Predictor of Challenging Behaviours among Children with Autism from Wearable Sensors in Social Robot Interactions," Robotics, MDPI, 2023.
    2. R. Gao, R. Li, M. Hu, P. N. Suganthan, and K. F. Yuen, "Online dynamic ensemble deep random vector functional link neural network for forecasting," Neural Networks, Elsevier Ltd, 2023.
    3. T. M. Elkaffash and A. M. Nhlabatsi, "Data-Leashing: Towards a Characterization of The Problem and Its Solution," Proceedings - 2023 10th International Conference on Dependable Systems and Their Applications, DSA 2023, IEEE, 2023.
    4. L.L. Dai, Q.-K. Pan, Z.-H. Miao, P. N. Suganthan, and K.-Z. Gao, "Multi-Objective Multi-Picking-Robot Task Allocation: Mathematical Model and Discrete Artificial Bee Colony Algorithm," IEEE Transactions on Intelligent Transportation Systems, IEEE, 2023.
    5. Z. Lin, K. Gao, N. Wu, and P. N. Suganthan, "Scheduling Eight-Phase Urban Traffic Light Problems via Ensemble Meta-Heuristics and Q-Learning Based Local Search," IEEE Transactions on Intelligent Transportation Systems, IEEE, 2023.
    6. H. Habbak, M. Mahmoud, K. Metwally, M. M. Fouda, and M. I. Ibrahem, "Load Forecasting Techniques and Their Applications in Smart Grids," Energies, MDPI, 2023.
    7. M. Z. Ali, H. Abdel-Nabi, R. Alazrai, B. AlHijawi, M. G. AlWadi, A. F. Al-Badarneh, P. N. Suganthan, M. I. Daoud, and R. G. Reynolds, "A cultural evolution with a modified selection function and adaptive α-cognition procedure for numerical optimization," Applied Soft Computing, Elsevier Ltd, 2023.
    8. Z. S. Ali, W. Mansour, F. Haouari, M. Hasanain, T. Elsayed, and A. Al-Ali, "Tahaqqaq: A Real-Time System for Assisting Twitter Users in Arabic Claim Verification," SIGIR 2023 - Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, Association for Computing Machinery, Inc, 2023.
    9. M. M. Badr, M. M. E. A. Mahmoud, M. Abdulaal, A. J. Aljohani, F. Alsolami, and A. Balamsh, "A Novel Evasion Attack Against Global Electricity Theft Detectors and a Countermeasure," IEEE Internet of Things Journal, IEEE, 2023.
    10. E. Altamimi, A. Al-Ali, Q. M. Malluhi, and A. K. Al-Ali, "Energy Theft Detection Using the Wasserstein Distance on Residuals," 2023 IEEE Texas Power and Energy Conference, TPEC 2023, IEEE, 2023.
    11. A. K. Malik, R. Gao, M. A. Ganaie, M. Tanveer, and P. N. Suganthan, "Random vector functional link network: Recent developments, applications, and future directions," Applied Soft Computing, Elsevier Ltd, 2023.
    12. J. Zhou, Y. Zhang, and P. N. Suganthan, "Dual population approximate constrained Pareto front for constrained multiobjective optimization," Information Sciences, Elsevier Inc., 2023.
    13. R. Li, R. Gao, and P. N. Suganthan, "A decomposition-based hybrid ensemble CNN framework for driver fatigue recognition," Information Sciences, Elsevier Inc., 2023.
    14. Z. Qiao, M. Hu, X. Jiang, P. N. Suganthan, and R. Savitha, "Class-Incremental Learning on Multivariate Time Series Via Shape-Aligned Temporal Distillation," ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, IEEE, 2023.
    15. D. Unal, F. O. Catak, M. T. Houkan, M. Mudassir, and M. Hammoudeh, "Towards robust autonomous driving systems through adversarial test set generation," ISA Transactions, ISA - Instrumentation, Systems, and Automation Society, 2023.
    16. M. Hu, R. Gao, and P. N. Suganthan, "Self-Distillation for Randomized Neural Networks," IEEE Transactions on Neural Networks and Learning Systems, IEEE, 2023.
    17. Q. Shi and P. N. Suganthan, "Double Regularization-Based RVFL and edRVFL Networks for Sparse-Dataset Classification," Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Springer Science and Business Media Deutschland GmbH, 2023.
    18. M. Hu, J. Herng Chion, P. N. Suganthan, and R. K. Katuwal, "Ensemble Deep Random Vector Functional Link Neural Network for Regression," IEEE Transactions on Systems, Man, and Cybernetics: Systems, IEEE, 2023.
    19. A. Al-Mousa, A. A. Tarifi, A. Shtaya, and I. M. Ghanem, "Transglabellar resection of frontal sinus cholesterol granuloma extending cranially through cecum foramina: Technical note," Surgical Neurology International, Scientific Scholar, 2023.
    20. A. Song, G. Wu, P. N. Suganthan, and W. Pedrycz, "Automatic Variable Reduction," IEEE Transactions on Evolutionary Computation, IEEE, 2023.
    21. H. H. Alasaad, D. Diri, and F. Hwaij, "Case report: Hydatid cyst of bone in the distal femur with untypical presentation treated surgically," International Journal of Surgery Case Reports, Elsevier Ltd, 2023.
    22. T. M. Khan, M. Arsalan, S. Iqbal, I. Razzak, and E. Meijering, "Feature Enhancer Segmentation Network (FES-Net)for Vessel Segmentation," 2023 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2023, IEEE, 2023.
    23. H. Abdel-Nabi, M. Ali, A. Awajan, M. Daoud, R. Alazrai, P. N. Suganthan, and T. Ali, "A comprehensive review of the deep learning-based tumor analysis approaches in histopathological images: segmentation, classification and multi-learning tasks," Cluster Computing, Springer, 2023.
    24. R. Gao, R. Li, M. Hu, P. N. Suganthan, and K. F. Yuen, "Significant wave height forecasting using hybrid ensemble deep randomized networks with neurons pruning," Engineering Applications of Artificial Intelligence, Elsevier Ltd, 2023.
    25. R. Sharma, T. Goel, M. Tanveer, P. N. Suganthan, I. Razzak, and R. Murugan, "Conv-eRVFL: Convolutional Neural Network Based Ensemble RVFL Classifier for Alzheimer's Disease Diagnosis," IEEE Journal of Biomedical and Health Informatics, IEEE, 2023.
    26. R. Gao, R. Li, M. Hu, P. N. Suganthan, and K. F. Yuen, "Dynamic ensemble deep echo state network for significant wave height forecasting," Applied Energy, Elsevier Ltd, 2023.
    27. P. Arora, S. M. J. Jalali, S. Ahmadian, B. K. Panigrahi, P. N. Suganthan, and A. Khosravi, "Probabilistic Wind Power Forecasting Using Optimized Deep Auto-Regressive Recurrent Neural Networks," IEEE Transactions on Industrial Informatics, IEEE Computer Society, 2023.
    28. Y. Song, P. N. Suganthan, W. Pedrycz, J. Ou, Y. He, Y. Chen, and Y. Wu, "Ensemble reinforcement learning: A survey," Applied Soft Computing, Elsevier Ltd, 2023.
    29. B. Ahadzadeh, M. Abdar, F. Safara, A. Khosravi, M. B. Menhaj, and P. N. Suganthan, "SFE: A Simple, Fast, and Efficient Feature Selection Algorithm for High-Dimensional Data," IEEE Transactions on Evolutionary Computation, IEEE, 2023.
    30. L. Wang, K. Gao, Z. Lin, W. Huang, and P. N. Suganthan, "Problem feature based meta-heuristics with Q-learning for solving urban traffic light scheduling problems," Applied Soft Computing, Elsevier Ltd, 2023.
    31. M. Tanveer, S. Verma, R. Sharma, T. Goel, and P. N. Suganthan, "Weighted Kernel Ridge Regression based Randomized Network for Alzheimer's Disease Diagnosis using Susceptibility Weighted Images," Proceedings of the International Joint Conference on Neural Networks, IEEE, 2023.
    32. A. Nhlabatsi, K. M. Khan, J. B. Hong, D. S. Kim, R. Fernandez, and N. Fetais, "Quantifying Satisfaction of Security Requirements of Cloud Software Systems," IEEE Transactions on Cloud Computing, IEEE, 2023.
    33. N. F. Kamal, A. K. Al-Ali, A. Al-Ali, S. Bayhan, and Q. M. Malluhi, "LPPDA: A Light-Weight Privacy-Preserving Data Aggregation Protocol for Smart Grids," IEEE Access, IEEE, 2023.
    34. N. C. Onat, J. Mandouri, M. Kucukvar, B. Sen, S. A. Abbasi, W. Alhajyaseen, A. A. Kutty, R. Jabbar, M. Contestabile, and A. M. Hamouda, "Rebound effects undermine carbon footprint reduction potential of autonomous electric vehicles," Nature Communications, Nature Research, 2023.
    35. R. Li, R. Gao, L. Yuan, P. N. Suganthan, L. Wang, and O. Sourina, "An enhanced ensemble deep random vector functional link network for driver fatigue recognition," Engineering Applications of Artificial Intelligence, Elsevier Ltd, 2023.
    36. S. Shiva, M. Hu, and P. N. Suganthan, "Online learning using deep random vector functional link network," Engineering Applications of Artificial Intelligence, Elsevier Ltd, 2023.
    37. M. M. Badr, M. M. E. A. Mahmoud, Y. Fang, M. Abdulaal, A. J. Aljohani, W. Alasmary, and M. I. Ibrahem, "Privacy-Preserving and Communication-Efficient Energy Prediction Scheme Based on Federated Learning for Smart Grids," IEEE Internet of Things Journal, IEEE, 2023.
    38. R. Li, R. Gao, P. N. Suganthan, J. Cui, O. Sourina, and L. Wang, "A spectral-ensemble deep random vector functional link network for passive brain–computer interface," Expert Systems with Applications, Elsevier Ltd, 2023.
    39. M. Maayah, A. Al-Ali, and A. Belhi, "Using Context Specific Generative Adversarial Networks for Audio Data Completion," 2023 IEEE Jordan International Joint Conference on Electrical Engineering and Information Technology, JEEIT 2023, IEEE, 2023.
    40. V. Haripriya, S. Mahalaxmi, S. Vidhya, and P. V. Purushothaman, "Antibacterial efficacy of curcumin, allicin, gingerol and cinnamon against Enterococcus faecalis: An in vitro study," Journal of HerbMed Pharmacology, Shahrekord University of Medical Sciences, 2023.
    41. C. Wang, P. Hou, M. Ma, T. Zhou, and Y. Zhang, "A Provable Secure and Lightweight ECC-based Authenticated Key Agreement Scheme for Edge Computing Infrastructure in Smart Grid," Computing, Springer, 2023.
    42. X.-S. Vu, M. Ma, and M. Bhuyan, "MetaVSID: A Robust Meta-Reinforced Learning Approach for VSI-DDoS Detection on the Edge," IEEE Transactions on Network and Service Management, IEEE, 2023.
    43. X. J. Li, M. Ma, and Y. Sun, "Adaptive Deep Learning Neural Networks for Intrusion Detection in Smart Grids," Algorithms, Elsevier Ltd, 2023.
    44. R. Zhu, A. Anjum, H. Li, and M. Ma, "Edge Intelligence-enabled Cyber-physical Systems," Concurrency and Computation-Practice & Experience, Elsevier Ltd, 2023.
    45. C. Wang, X. Li, M. Ma, T. Zhou, G. Xu, N. Xiong, and Y. Zhang, "PSAK: A Provably Secure Authenticated Key Agreement Scheme Based on Extended Chebyshev Chaotic Maps for Smart Grid Environments," Transactions on Emerging Telecommunications Technologies, IEEE, 2023.
    46. X. Yan, M. Ma, and R. Su, "Efficient Group Handover Authentication for Secure 5G-based Communications in Platoons," IEEE Transactions on Intelligent Transportation Systems, IEEE, 2023.
    47. B. Li and M. Ma, "An Advanced Hierarchical Identity-based Security Mechanism by Blockchain in Named Data Networking," Journal of Network and Systems Management, Elsevier Ltd, 2023.
    48. Y. Huang and M. Ma, "ILL-IDS: An Incremental Lifetime Learning IDS for VANETs," Computers & Security, Elsevier Ltd, 2023.
    49. D. R. Junaidi, M. Ma, and R. Su, "An Efficient Multi-Blockchain Approach towards Secure Platoon Management," Proc-IEEE 17th International Conference on Service Operations and Logistics, and Informatics 2023, SOLI2023, IEEE, 2023.
    50. L. Huang, R. Su, M. Ma, Y. Lu, B. Wang, and Z. Hu, "Preserving Data-Privacy Cooperative Control of Discrete-Time Multi-Agent Systems," Proc-IEEE 62nd Conference on Decision and Control 2023, CDC2023, IEEE, 2023.
    51. Y. Zhang, X. Guo, and M. Ma, "ADMBIFA: Accurate Detection and Mitigation of Blended Interest Flooding Attacks in NDN Networks," Proc-IEEE 24th International Conference on High-Performance and Routing 2023, HPSR2023, IEEE, 2023.
    52. J. Liang, M. Ma, and G. Yang, "Efficient-Lightweight CRL Distribution in VANETs: A Multilayer Coded Caching Methodology," Proc-IEEE Wireless Communication and Networking Conference 2023, WCNC2023, IEEE, 2023.
    53. R. Zhu, M. Li, H. Liu, L. Liu, and M. Ma, "Federated Deep Reinforcement Learning-based Spectrum Access Algorithm with Warranty Contract in Intelligent Transportation Systems," IEEE Transaction on Intelligent Transportation Systems, IEEE, 2023.
    54. H. Gad, E. Elgassim, I. Mohammed, A. Y. Alhaddad, H. A. H. Z. Aly, J.-J. Cabibihan, A. Al-Ali, K. K. Sadasivuni, I. N. Petropoulos, G. Ponirakis, W. Abuhelaiqa, A. Jayyousi, D. AlMohanadi, K. Baagar, and R. A. Malik, "Cardiovascular autonomic neuropathy is associated with increased glycemic variability driven by hyperglycemia rather than hypoglycemia in patients with diabetes," Diabetes Research and Clinical Practice, Elsevier Ireland Ltd, 2023.
    55. T. Goel, R. Sharma, M. Tanveer, P. N. Suganthan, K. Maji, and R. Pilli, "Multimodal Neuroimaging based Alzheimer's Disease Diagnosis using Evolutionary RVFL Classifier," IEEE Journal of Biomedical and Health Informatics, IEEE, 2023.
    56. R. Gao, S. Yang, M. Yuan, X. Song, P. N. Suganthan, and W. T. Ang, "Online ensemble deep random vector functional link for the assistive robots," Proceedings of the International Joint Conference on Neural Networks, IEEE, 2023.
    57. W. Mansour, T. Elsayed, and A. Al-Ali, "This is not new! Spotting previously-verified claims over Twitter," Information Processing and Management, Elsevier Ltd, 2023.
    58. W. X. Cheng and P. N. Suganthan, "Adaptive Scaling for U-Net in Time Series Classification," Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Springer Science and Business Media Deutschland GmbH, 2023.
    59. Z. Ma, G. Wu, P. N. Suganthan, A. Song, and Q. Luo, "Performance assessment and exhaustive listing of 500+ nature-inspired metaheuristic algorithms," Swarm and Evolutionary Computation, Elsevier B.V., 2023.
    60. A. Sarabakha, Z. Qiao, S. Ramasamy, and P. N. Suganthan, "Online Continual Learning for Control of Mobile Robots," Proceedings of the International Joint Conference on Neural Networks, IEEE, 2023.
    61. X. He, Q.-K. Pan, L. Gao, L. Wang, and P. N. Suganthan, "A Greedy Cooperative Co-Evolutionary Algorithm With Problem-Specific Knowledge for Multiobjective Flowshop Group Scheduling Problems," IEEE Transactions on Evolutionary Computation, IEEE, 2023.
    62. H. Abdel-Nabi, M. Z. Ali, A. Awajan, R. Alazrai, M. I. Daoud, and P. N. Suganthan, "An iterative cyclic tri-strategy hybrid stochastic fractal with adaptive differential algorithm for global numerical optimization," Information Sciences, Elsevier Inc., 2023.
    63. H. Abdel-Nabi, M. Z. Ali, A. Awajan, R. Alazrai, M. I. Daoud, P. N. Suganthan, and R. Reynolds, "3-sCHSL: Three-Stage Cyclic Hybrid SFS and L-SHADE Algorithm for Single Objective Optimization," 2023 IEEE Congress on Evolutionary Computation, CEC 2023, IEEE, 2023.
    64. K. V. Price, A. Kumar, and P. N. Suganthan, "Trial-based dominance for comparing both the speed and accuracy of stochastic optimizers with standard non-parametric tests," Swarm and Evolutionary Computation, Elsevier B.V., 2023.
    65. Y. He, X. Ye, L. Cui, P. Fournier-Viger, C. Luo, J. Z. Huang, and P. N. Suganthan, "Wireless Network Slice Assignment With Incremental Random Vector Functional Link Network," IEEE Transactions on Network Science and Engineering, IEEE Computer Society, 2023.
    66. A. Y. Alhaddad, H. Aly, H. Gad, E. Elgassim, I. Mohammed, K. Baagar, A. Al-Ali, K. K. Sadasivuni, J.-J. Cabibihan, and R. A. Malik, "Longitudinal Studies of Wearables in Patients with Diabetes: Key Issues and Solutions," Sensors, MDPI, 2023.
    67. J. Chen, H. Wang, M. Hu, and P. N. Suganthan, "Versatile LiDAR-Inertial Odometry with SE(2) Constraints for Ground Vehicles," IEEE Robotics and Automation Letters, IEEE, 2023.
    68. Y.-Z. Li, K. Gao, L.-L. Meng, and P. N. Suganthan, "A problem-specific knowledge based artificial bee colony algorithm for scheduling distributed permutation flowshop problems with peak power consumption," Engineering Applications of Artificial Intelligence, Elsevier Ltd, 2023.
    69. L. Kong, V. Ojha, R. Gao, P. N. Suganthan, and V. Snášel, "Low-rank and global-representation-key-based attention for graph transformer," Information Sciences, Elsevier Inc., 2023.
    70. M. Alnajar, M. Abdalrahim, S. Mosleh, M. Farhan, K. Amro, and M. Darawad, "The need of patients living with cancer for palliative care," International Journal of Palliative Nursing, MA Healthcare Ltd, 2023.
    71. H. Liu, G. Wu, L. Zhou, W. Pedrycz, and P. N. Suganthan, "Tangent-Based Path Planning for UAV in a 3-D Low Altitude Urban Environment," IEEE Transactions on Intelligent Transportation Systems, IEEE, 2023.
    72. F. Luo and S. Al-Kuwari, "Generic Construction of Black-Box Traceable Attribute-Based Encryption," IEEE Transactions on Cloud Computing, IEEE, 2023.
    73. K. Malik, M. A. Ganaie, M. Tanveer, and P. N. Suganthan, "Support Vector Machine Based Models with Sparse Auto-encoder Based Features for Classification Problem," Lecture Notes in Computer Science , Springer, 2023.

    1. Z. Sheikh Ali, A. Al-Ali, T. Elsayed, “Detecting Users Prone to Spread Fake News on Arabic Twitter,” Proceedings of the 5th Workshop on Open-Source Arabic Corpora and Processing Tools, Jun. 2022.‏

    2. A. Alhaddad, H. Aly, H. Gad, A. Al-Ali, K. Sadasivuni, J. Cabibihan, R. Malik, "Sense and Learn: Recent Advances in Wearable Sensing and Machine Learning for Blood Glucose Monitoring and Trend-Detection," Frontiers in Bioengineering and Biotechnology, May 2022.‏

    3. W. Mansour, T. Elsayed, and A. Al-Ali, “Did I See it Before? Detecting Previously-Checked Claims over Twitter”. Proceedings of the 44th European Conference on Information Retrieval, Apr. 2022.‏

    4. Unal, Devrim, Shada Bennbaia, and Ferhat Ozgur Catak. "Machine learning for the security of healthcare systems based on Internet of Things and edge computing." Cybersecurity and Cognitive Science. Academic Press, 2022. 299-320.‏

    5. Haris, Raseena M., Khaled M. Khan, and Armstrong Nhlabatsi. "Live migration of virtual machine memory content in networked systems: A review." Computer Networks (2022): 108898.   

    6. Mohammed Mudassir, Devrim Unal, Mohammad Hammoudeh, Farag Azzedin, "Detection of Botnet Attacks against Industrial IoT Systems by Multilayer Deep Learning Approaches", Wireless Communications and Mobile Computing, vol. 2022, Article ID 2845446, 12 pages,2022.

    7. Ferhat Ozgur Catak, Murat Kuzlu, Evren Catak, Umit Cali, Devrim Unal, Security concerns on machine learning solutions for 6G networks in mmWave beam prediction, Physical Communication, Volume 52, pp. 101626, 2022
    8. Lav Gupta, Tara Salman, Ali Ghubaish, Devrim Unal, Abdulla Khalid Al-Ali, Raj Jain, Cybersecurity of multi-cloud healthcare systems: A hierarchical deep learning approach, Applied Soft Computing, pp. 108439, Volume 118, 2022
    9. Mahima Aggarwal, Mohammed Zubair, Devrim Unal, Abdulla Al-Ali, Thomas Reimann, Guillaume Alinier, Fuzzy Identification-Based Encryption for healthcare user face authentication, Journal of Emergency Medicine, Trauma and Acute Care, Volume 2022, Issue 1 - Qatar Health 2022 Conference abstracts, Jan 2022
    10. X. Yan and Maode Ma, “A Privacy-Preserving Handover Authentication Protocol for a Group of MTC Devices in 5G Networks,” Computers and Security , Vol. 116, AN. 102601, May 2022.
    11. K. L. K. Sudheera, Maode Ma and P. H. J. Chong, “Real-Time Cooperative Data Routing and Scheduling in Software Defined Vehicular Networks,” Computer Communications , Vol. 181, January, 2022, pp. 203-214.
    12. C. Wang, X. Li, Maode Ma, and Y. Zhang, “A Novel and Efficient Anonymous Authentication Scheme Based on Extended Chebyshev Chaotic Maps for Smart Grid,” Proc-23rd IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks 2022 , WoWMoM2022, UK, June 2022.
    13. X. Yan, Maode Ma, and R. Su, “A Certificateless Efficient and Secure Group Handover Authentication Protocol in 5G Enabled Vehicular Networks,” Proc-IEEE ICC'22, South Korea, May 2022.

    14. Zubair M, Ghubaish A, Unal D, Al-Ali A, Reimann T, Alinier G, Hammoudeh M, Qadir J. ," Secure Bluetooth Communication in Smart Healthcare Systems: A Novel Community Dataset and Intrusion Detection System", Sensors, October 2022.

    15. Ruobin Gao, Ruilin Li, Minghui Hu, Ponnuthurai Nagaratnam Suganthan, Kum Fai Yuen, "Significant wave height forecasting using hybrid ensemble deep randomized networks with neurons pruning, Engineering Applications of Artificial Intelligence", November 2022.

    16. Devrim Unal, Ferhat Ozgur Catak, Mohammad Talal Houkan, Mohammed Mudassir, Mohammad Hammoudeh, “Towards robust autonomous driving systems through adversarial test set generation”, ISA Transactions, November 2022,

    17. Li, Ruilin, Ruobin Gao, Jian Cui, P. N. Suganthan, and Olga Sourina ,"Advanced Ensemble Deep Random Vector Functional Link for Eye-Tracking-based Situation Awareness Recognition", IEEE Symposium Series on Computational Intelligence (SSCI), 2022.

    18. Ruobin Gao, P.N. Suganthan, Qin Zhou, Kum Fai Yuen, M. Tanveer,"Echo state neural network based ensemble deep learning for short-term load forecasting", IEEE SSCI, 2022.

    19. Abdel-Nabi, Heba, Mostafa Ali, Mohammad Daoud, Rami Alazrai, Arafat Awajan, Robert Reynolds, and P.N. Suganthan, "An Enhanced Multi-Phase Stochastic Differential Evolution Framework for Numerical Optimization", IEEE Congress of Evolutionary Computation, 2022.

    20. Hu, Minghui, Ruobin Gao, and P.N. Suganthan, "Deep Reservoir Computing Based Random Vector Functional Link for Non-sequential Classification", IEEE International Joint Conference on Neural Networks (IJCNN), 2022.

    21. Ganaie, M.A., M. Tanveer, A.K. Malik, and P.N. Suganthan, "Minimum Variance Embedded Random Vector Functional Link Network with Privileged Information", IEEE International Joint Conference on Neural Networks (IJCNN), 2022.

    22. Du, Liang, Ruobin Gao, Ponnuthurai Nagaratnam Suganthan, and David Z.W. Wang, "Time Series Forecasting Using Online Performance-based Ensemble Deep Random Vector Functional Link Neural Network", IEEE International Joint Conference on Neural Networks (IJCNN), 2022.

    23.  Cheng, W. X., and P. Suganthan, "Adaptive Pooling for U-Net in Time Series Classification", International Conference on Neural Information Processing (ICONIP), 2022, Springer.

    24. Shi, Q., and P. Suganthan, "Double Regularization-based RVFL and edRVFL Networks for Sparse-Dataset Classification", International Conference on Neural Information Processing (ICONIP), 2022, Springer.

    25. Li, Ruilin, Jian Cui, Ruobin Gao, P. N. Suganthan, Olga Sourina, Lipo Wang, and Chun-Hsien Chen, "Situation Awareness Recognition Using EEG and Eye-Tracking data: a pilot study", IEEE International Conference on Cyberworlds (CW), 2022.

    26. Malik, Ashwani Kumar, Mudasir Ahmad Ganaie, M Tanveer, and P.N. Suganthan, "Support vector machine based models with sparse auto-encoder based features for classification problem", International Conference on Neural Information Processing (ICONIP), 2022, Springer.

    27. Hu, Minghui, Ruobin Gao, Ponnuthurai N. Suganthan, and M. Tanveer, "Automated layer-wise solution for ensemble deep randomized feed-forward neural network", Neurocomputing, 2022.

    28. Wu, Guohua, Ni Mao, Qizhang Luo, Binjie Xu, Jianmai Shi, and Ponnuthurai Nagaratnam Suganthan, "Collaborative Truck-Drone Routing for Contactless Parcel Delivery During the Epidemic", IEEE Transactions on Intelligent Transportation Systems, 2022.

    29. Osaba, Eneko, Javier Del Ser, and Ponnuthurai N. Suganthan, "Evolutionary Multitask Optimization: Fundamental research questions, practices, and directions for the future", Swarm and Evolutionary Computation, 2022.

    30. Du, Liang, Ruobin Gao, Ponnuthurai Nagaratnam Suganthan, and David Z.W. Wang, "Graph ensemble deep random vector functional link network for traffic forecasting", Applied Soft Computing, 2022.

    31. Arora, Parul, Abbas Khosravi, B.K. Panigrahi, and P.N. Suganthan, "Remodelling state-space prediction with deep neural networks for probabilistic load forecasting", IEEE Transactions on Emerging Topics in Computational Intelligence, 2022.

    32. Cheng, Wen Xin, Ruobin Gao, P.N. Suganthan, and Kum Fai Yuen, "EEG-based emotion recognition using random Convolutional Neural Networks", Engineering Applications of Artificial Intelligence, 2022.

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    34. Li, Changsong, Guojiang Xiong, Xiaofan Fu, Ali Wagdy Mohamed, Xufeng Yuan, Mohammed Azmi Al-Betar, and Ponnuthurai Nagaratnam Suganthan, "Takagi–Sugeno fuzzy based power system fault section diagnosis models via genetic learning adaptive GSK algorithm", Knowledge-Based Systems, 2022.

    35. Wu, Guohua, Qizhang Luo, Xiao Du, Yingguo Chen, Ponnuthurai Nagaratnam Suganthan, and Xinwei Wang, "Ensemble of Metaheuristic and Exact Algorithm Based on the Divide-and-Conquer Framework for Multisatellite Observation Scheduling", IEEE Transactions on Aerospace and Electronic Systems, 2022.

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    44. Malik, Ashwani Kumar, M.A. Ganaie, M. Tanveer, and P.N. Suganthan, "Extended features based random vector functional link network for classification problem", IEEE Transactions on Computational Social Systems, 2022.

    45. Luo, Qizhang, Guohua Wu, Bin Ji, Ling Wang, and Ponnuthurai Nagaratnam Suganthan, "Hybrid Multi-Objective Optimization Approach With Pareto Local Search for Collaborative Truck-Drone Routing Problems Considering Flexible Time Windows", IEEE Transactions on Intelligent Transportation Systems, 2022.

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    photo of Qatar University buildings - right side
    photo of Qatar University buildings - right side