Home > Publications
Publications (Authors’ Names in Bold indicate CAI’s members)
Papers in Refereed Journals
  1. S. Yalçın, M. Yildirim, M. A. Khan, Y. Li, B. Alabdullah, Y. Cho, Y. Nam, "Optimal control strategy to charging and discharging techniques for electric vehicle battery pack optimization based on genetic algorithm and machine learning," Energy Reports, vol. 15, 2026, doi: 10.1016/j.egyr.2025.109011.
  2. M. Attique Khan, F. Rauf, M. J. Abbas, A. Hussain, B. Alabdullah, N. Han, Y. Nam, J. Shin, "A Novel Network-Level Fused Self-Attention Deep Neural Network for Cervical Cancer Classification from Cervicography Images," Technology in Cancer Research and Treatment, vol. 25, 2026, doi: 10.1177/15330338261426741.
  3. J. A. Bhutto, S. T. Chauhdary, S. Arif, A. Niaz, K. Alnamasi, S. Q. Moinuddin, S. Alsenan, M. A. Khan, "State estimator and convolutional neural networks-based fault localization approach for modern grids," Scientific reports, vol. 16, no. 1, p. 3941, 2026, doi: 10.1038/s41598-025-33975-8.
  4. M. Arshad, M. A. Khan, J. M. Górriz, J. Baili, D. A. AlHammadi, C. Kim, Y. Nam, "Skin cancer segmentation and recognition from dermoscopy images: a novel framework based on improved DeepLabV3+ and network-level fused deep architectures," Journal of Advanced Research, vol. 83, pp. 575-600, 2026, doi: 10.1016/j.jare.2025.08.039.
  5. M. Sheng, U. A. Bhatti, J. Zhang, S. Feng, Y. Gulzar, M. A. Khan, D. Turaev, A. Ashirova, "A Cross-Hierarchical Difference Feature Fusion Network Based on Multiscale Encoder-Decoder for Coastal Wetlands Hyperspectral Change Detection," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 19, pp. 14109-14129, 2026, doi: 10.1109/JSTARS.2026.3681923.
  6. R. Al-Zaidi, M. Al-Khalidi, M. A. Khan, "Blockchain-Based Distributed Trust Model for Secure IoT Communication," IEEE Internet of Things Journal, vol. 13, no. 10, pp. 20521-20534, 2026, doi: 10.1109/JIOT.2026.3673857.
  7. S. N. Al-Jaradi, M. K. Hasan, N. Al-Qirim, S. Islam, M. A. Khan, R. A. Saeed, H. Elshafie, B. K. Pandey, K. A. Z. Ariffin, "Edge-Aware RIS-Assisted Dynamic Channel Allocation With Lightweight LLM Decision Agent for Interference Mitigation in Low-Altitude Remote Sensing Networks," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 19, pp. 20824-20840, 2026, doi: 10.1109/JSTARS.2026.3698592.
  8. J. Yang, V. Govindarajan, M. Attique Khan, Z. Ahmed Shaikh, S. Alsenan, Y. Li, L. Yee Por, Z. Zhang, Q. Guo, "CardioTwin-XAI: A Consumer-Centric Digital Twin Framework for Predictive Risk Stratification and Personalized Management of Coronary Artery Disease in Healthcare 5.0," IEEE Transactions on Consumer Electronics, vol. 72, no. 3, pp. 6547-6557, 2026, doi: 10.1109/TCE.2026.3660345.
  9. J. Yang, J. Dai, X. Tang, M. A. Khan, M. Ayadi, Z. A. Shaikh, A. Alasiry, M. Marzougui, P. Su, L. Y. Por, "TeleXAI-R: A Real-Time Explainable AI Model for Remote Patient Risk Stratification Using IoT-Integrated Consumer Devices," IEEE Transactions on Consumer Electronics, vol. 72, no. 1, pp. 2212-2222, 2026, doi: 10.1109/TCE.2025.3644166.
  10. S. Iqbal, X. Zhong, M. A. Khan, Z. Wu, N. A. Almujally, W. Liu, A. Hussain, "TADynFed: Dynamic modality-adaptive federated learning with tissue-aware disentanglement for cross-disease analysis," Artificial Intelligence in Medicine, vol. 175, 2026, doi: 10.1016/j.artmed.2026.103378.
  11. K. A. Awan, M. Uddin, M. H. Alanazi, F. Alanazi, M. N. Alanazi, M. Alhefdi, M. A. Khan, "Adaptive Swarm Immunity Framework for Anomaly Detection in Smart Home Consumer Electronics," IEEE Transactions on Consumer Electronics, 2026, doi: 10.1109/TCE.2026.3732611.
  12. T. Zhang, Y. Li, J. Nie, K. Fang, S. Ercisli, M. A. Khan, "Decentralized Federated Adversarial Learning for Proactive Anomaly Defense in Consumer-Grade Agricultural Vision Systems," IEEE Transactions on Consumer Electronics, 2026, doi: 10.1109/TCE.2026.3706365.
  13. Z. Habib, M. A. Khan, Z. Hussain, N. Ng, A. Hamza, A. I. Alzahrani, N. Alalwan, Z. Iqbal, "Parkinson’s Disease Detection From Electrical Stimulations WiFi Signals Using Information Fusion of Proposed Neural Networks," Cognitive Computation, vol. 18, no. 1, 2026, doi: 10.1007/s12559-026-10595-6.
  14. Y. Zhang, J. Qiu, D. Li, C. Wu, J. Chen, B. U. Aslam, M. A. Khan, M. Huang, "Anatomical Prior-Guided Black-Box Attack Optimization for Prostate Tumor mpMRI Classification Models," IEEE Journal of Biomedical and Health Informatics, 2026, doi: 10.1109/JBHI.2026.3711719.
  15. J. Yang, J. Dai, M. A. Khan, W. Chen, Z. A. Shaikh, V. Govindarajan, B. Alabdullah, L. Y. Por, W. Xie, "NeuroShield-Diabetes: A Hybrid Nature-Inspired Neural Cryptography and Machine Learning framework for Privacy-Preserving Diabetes Data Sharing in Consumer Health," IEEE Transactions on Consumer Electronics, 2026, doi: 10.1109/TCE.2026.3702497.
  16. S. Iqbal, X. Zhong, M. A. Khan, Z. Wu, N. A. Almujally, W. Liu, A. Hussain, "Causal continual unlearning with disentangled anomaly representations for private industrial vision," Information Processing and Management, vol. 63, no. 6, 2026, doi: 10.1016/j.ipm.2026.104731.
  17. J. Yang, X. Xu, M. A. Khan, G. B. Brahim, J. Baili, L. Y. Por, C. Li, "Explainable Deep Reinforcement Learning for Anomaly Detection in IoT-Enabled Metaverse Healthcare: Toward Trustworthy Cyber Threat Intelligence," Research, vol. 9, 2026, doi: 10.34133/research.1245.
  18. M. Alshammeri, N. Tariq, N. Jhanji, M. Humayun, M. A. Khan, "Explainable Ensemble Learning Framework for Early Detection of Autism Spectrum Disorder: Enhancing Trust, Interpretability and Reliability in AI-Driven Healthcare," CMES - Computer Modeling in Engineering and Sciences, vol. 146, no. 1, 2026, doi: 10.32604/cmes.2025.074627.
  19. Z. Xia, J. Yang, Z. Song, M. A. Khan, S. Ayouni, J. Zheng, Y. Hua, P. L. Yee, H. Ding, "Digital Twin Driven Video Stream for Edge–Cloud Collaboration in Consumer Vehicular IoT," IEEE Consumer Electronics Magazine, 2026, doi: 10.1109/MCE.2026.3715282.
  20. S. Iqbal, M. Attique Khan, G. Mustafa, S. Ayouni, A. Aljohani, A. Hussain, "FedCapD: Federated class-incremental learning via capsule distillation and diffusion replay," Neurocomputing, vol. 683, 2026, doi: 10.1016/j.neucom.2026.133365.
  21. S. Danish, M. J. Piran, S. U. Khan, M. A. Khan, L. M. Dang, Y. Zweiri, H. K. Song, H. Moon, "Vision-based fire management system using autonomous unmanned aerial vehicles: a comprehensive survey," Artificial Intelligence Review, vol. 59, no. 1, 2026, doi: 10.1007/s10462-025-11415-3.
  22. Y. Li, L. Wei, J. Nie, J. J. Rodrigues, M. A. Khan, M. Sulistio, H. T. Lin, "Generative artificial intelligence in ubiquitous IoT systems: advances, applications and challenges," International Journal of Ad Hoc and Ubiquitous Computing, vol. 53, no. 1, pp. 58-81, 2026, doi: 10.1504/IJAHUC.2026.156455.
  23. S. Masood, M. A. Al-Bashrawi, M. A. Khan, Y. K. Dwivedi, "From data to diagnosis: a systematic review on AI-driven approaches to diabetes prediction," Artificial Intelligence Review, vol. 59, no. 3, 2026, doi: 10.1007/s10462-025-11485-3.
  24. M. A. Pervez, M. Tahir, Z. Iqbal, M. Tariq, G. B. Brahim, M. A. Khan, "Predicting courier node trajectory using channel characterization to enhance lifetime in IoT-based underwater wireless sensor networks," Telecommunication Systems, vol. 89, no. 2, 2026, doi: 10.1007/s11235-026-01439-7.
  25. M. Fatima, M. A. Khan, S. Shaheen, H. M. Albarakati, S. Wang, S. F. Jilani, M. Shabaz, "BREAST LESION SEGMENTATION AND CLASSIFICATION USING U-NET SALIENCY ESTIMATION AND EXPLAINABLE RESIDUAL CONVOLUTIONAL NEURAL NETWORK," Fractals, vol. 34, no. 4, 2026, doi: 10.1142/S0218348X24400607.
  26. L. Bian, X. Xu, Z. Xu, H. Xiang, W. Dou, B. Alabdullah, M. A. Khan, M. Bilal, "SSMFusion: A Large Vision Mamba Model With Adaptive Feature Disentanglement for Remote Sensing Spatiotemporal Fusion," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 19, pp. 27172-27191, 2026, doi: 10.1109/JSTARS.2026.3722472.
  27. A. Khan, J. Y. Kim, M. A. Khan, K. S. Kim, E. Chung, J. Lyu, H. W. Gil, S. Jeon, Y. Nam, "Human fall direction classification based on deep learning methods and moth flame optimization," Image and Vision Computing, vol. 173, 2026, doi: 10.1016/j.imavis.2026.106055.
  28. M. J. Abbas, M. A. Khan, A. Hamza, S. Alsenan, A. Alasiry, M. Marzougui, J. Shin, Y. Nam, "LiteDenseMoE: An Explainable Lightweight Densely Connected Mixture-of-Experts Network for Aerial Scene Recognition in Low Contrast Remote Sensing Images," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 19, pp. 6183-6201, 2026, doi: 10.1109/JSTARS.2025.3645113.
  29. S. Iqbal, X. Zhong, M. A. Khan, Z. Wu, N. A. Almujally, W. Liu, E. Cambria, A. Hussain, "Responsible AI in healthcare: Mitigating hallucinations and enhancing multimodal fusion - based reasoning in medical imaging," Information Fusion, vol. 136, 2026, doi: 10.1016/j.inffus.2026.104483.
  30. M. K. Bhatti, M. A. Khan, T. Rahman, S. Ayouni, D. Hong, Y. Nam, "MSRA-Net: Multiscale Residual Attention Network for Land Use Land Cover Scene Classification From Remote Sensing Images," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 19, pp. 15314-15330, 2026, doi: 10.1109/JSTARS.2026.3686297.
  31. M. J. Abbas, M. A. Khan, J. Li, I. Haider, L. Almuqren, M. Alhefdi, J. Shin, Y. Nam, "LightFire-Net: Efficient Cross-Modal Spectral-Spatial Information Fusion for Real-Time Wildfire Detection in Remote Sensing," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 19, pp. 17493-17513, 2026, doi: 10.1109/JSTARS.2026.3686291.
  32. J. Yang, M. U. Ali, M. A. Khan, J. Baili, Z. A. Shaikh, N. Alturki, P. L. Yee, V. Govindarajan, S. W. Lee, "TransformerXL-GAN-Based Secure Forecasting Architecture for Mitigating Algal Bloom-Induced Sensor Spoofing in Marine IoT," IEEE Transactions on Consumer Electronics, vol. 72, no. 3, pp. 6299-6310, 2026, doi: 10.1109/TCE.2026.3675242.
  33. D. Gupta, S. Rani, I. Keshta, M. Shabaz, M. A. Khan, D. A. Alhammadi, "Optimized Deep Learning for Intrusion Detection in Federated IoT Environments," Journal of Circuits, Systems and Computers, vol. 35, no. 7, 2026, doi: 10.1142/S0218126625504845.
  34. M. J. Abbas, M. A. Khan, V. Dillshad, A. I. Alzahrani, N. Alalwan, A. Alamer, Y. Nam, A. Hussain, "A Novel Multistage Attention-Enhanced Mixture of Experts Model for Alzheimer's Disease Diagnosis," Expert Systems, vol. 43, no. 3, 2026, doi: 10.1111/exsy.70223.
  35. B. Fiaz, M. A. Khan, A. Zafar, S. Alsenan, Y. Alnsour, Z. Yang, Y. Nam, "TriDermCancerNet: A hybrid deep learning framework for skin cancer classification," Journal of International Medical Research, vol. 54, no. 6, 2026, doi: 10.1177/03000605261461235.
  36. X. Xu, J. Yang, X. Liu, M. A. Khan, W. Jiang, J. Baili, P. L. Yee, C. Li, "Generative AI-Driven Liver Reconstruction for Healthcare Applications in Consumer Electronics With Diffusion Model and Graph Neural Network," IEEE Transactions on Consumer Electronics, vol. 72, no. 1, pp. 2102-2112, 2026, doi: 10.1109/TCE.2025.3631634.
  37. W. Ibrar, M. A. Khan, S. A. Naqvi, Z. Hussain, L. Almuqren, A. Hussain, M. Alhefdi, Y. Nam, "A Novel Channel-Spatial Deep Residual Attention Network for the Classification of Neurodegenerative Diseases from MRI Scans," Cognitive Computation, vol. 18, no. 1, 2026, doi: 10.1007/s12559-026-10652-0.
  38. J. Wang, J. Yang, M. A. Khan, P. L. Yee, J. Baili, D. Hu, "DGAN-MPCC: A Novel Dual-GAN Enhanced Multi-Positive Contrastive Clustering Method for Omics Data," IEEE Journal of Biomedical and Health Informatics, vol. 30, no. 3, pp. 1902-1911, 2026, doi: 10.1109/JBHI.2025.3631973.
  39. J. Aftab, M. A. Khan, S. Arshad, A. Hussain, S. Alsenan, Y. Cho, Y. Nam, "A novel deep semantic- and vision-based self-attention architecture for skin cancer classification," Digital Health, vol. 12, 2026, doi: 10.1177/20552076261430276.
  40. M. Alharbi, K. Haseeb, N. Jhanjhi, A. Khan, M. Humayun, M. A. Khan, "Blockchain-driven trust management and AI computing for sensor networks optimization," Scientific Reports, vol. 16, no. 1, 2026, doi: 10.1038/s41598-026-41302-y.
  41. M. A. Khan, M. A. Khan, "Securing IoT in the Post-Quantum Era: Implementation, Challenges, and Future Directions," IEEE Communications Standards Magazine, vol. 10, no. 1, pp. 48-55, 2026, doi: 10.1109/MCOMSTD.2025.3584658.
  42. S. Iqbal, X. Zhong, M. Attique Khan, Z. Wu, N. Abdullah Almujally, W. Liu, A. Hussain, B. W. Schuller, "Cross-modal invariant learning with latent diffusion for reliable medical diagnosis under dynamic shifts," Neurocomputing, vol. 665, 2026, doi: 10.1016/j.neucom.2025.132111.
  43. J. Yang, M. A. Khan, N. Niu, G. Kumar, T. H. Aldhyani, L. Y. Por, Y. Xia, "Large Language Models for DDoS Attack Detection: A Systematic Literature Review," IEEE Internet of Things Journal, 2026, doi: 10.1109/JIOT.2026.3712446.
  44. A. Khan, G. H. Lee, L. M. Dang, S. U. Khan, M. A. Khan, W. Choi, H. Moon, "Empowering assisted living: ultra leap motion and deep learning for sign language recognition," International Journal of Machine Learning and Cybernetics, vol. 17, no. 4, 2026, doi: 10.1007/s13042-025-02962-w.
  45. S. Iqbal, M. A. Khan, L. Jamel, A. N. Qureshi, I. A. Choudhry, A. Hussain, "xMagNet: Dynamic magnification-aware fusion with uncertainty quantification for robust breast cancer histopathology," Neurocomputing, vol. 673, 2026, doi: 10.1016/j.neucom.2026.132745.
  46. J. Yang, J. Dai, B. Li, M. A. Khan, S. Alsenan, V. Govindarajan, Z. A. Shaikh, G. B. Brahim, L. Y. Por, L. Zhang, "NeuroCare-SCC: An AI-Enhanced Integrated Sensing-Communication-Computing-Control Framework for Cognitive Health Monitoring," IEEE Transactions on Consumer Electronics, vol. 72, no. 2, pp. 4407-4418, 2026, doi: 10.1109/TCE.2026.3667208.
  47. I. Haider, M. A. Khan, S. Iqbal, J. Li, L. Jamel, M. Alhefdi, Y. Nam, "Aerial Scene Recognition From Remote Sensing Images Based on Hybrid Multitemporal Information Fused Transformer-FRACTAL Network," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 19, pp. 21797-21819, 2026, doi: 10.1109/JSTARS.2026.3703531.
  48. G. Long, Z. T. Njitacke, J. Guo, D. Jiang, S. Fu, Y. Hu, M. A. Khan, "Memristive Hopfield neural network and its application to secure remote sensing images," Applied Soft Computing, vol. 202, 2026, doi: 10.1016/j.asoc.2026.115947.
  49. I. Budhiraja, A. Bansal, B. Unhelkar, N. A. Wani, M. A. Khan, "Quantum Federated Reinforcement Learning-Based Traffic Offloading and Resource Allocation for RSMA-Enabled Space–Air–Ground Integrated Networks," Transactions on Emerging Telecommunications Technologies, vol. 37, no. 9, 2026, doi: 10.1002/ett.70482.
  50. M. K. Hasan, S. N. Al-Jaradi, N. H. S. Suhaimi, S. Islam, A. K. Othman, M. A. Khan, B. Alabdullah, Y. Nam, "Self-Calibrated Compound-Gaussian Regularized Adaptive Beamforming for Robust Ocean Remote Sensing," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 19, pp. 28451-28470, 2026, doi: 10.1109/JSTARS.2026.3722481.
  51. G. Fu, X. Xu, H. Xiang, M. Bilal, M. A. Khan, "GuardMLLM: Overconfidence-Aware Dynamic Fusion for Early Outcome Prediction," IEEE Journal of Biomedical and Health Informatics, 2026, doi: 10.1109/JBHI.2026.3727471.
  52. S. Iqbal, X. Zhong, M. A. Khan, Z. Wu, N. A. Almujally, W. Liu, A. Hussain, "Core unlearning: A multi-modal gradient-efficient architecture for exact and approximate model rewriting," Information Processing and Management, vol. 63, no. 2PA, 2026, doi: 10.1016/j.ipm.2025.104417.
  53. N. Umbreen, S. Ali, H. Sajid, Y. Ayaz, M. A. Khan, J. Baili, F. Alhayan, "Dual attention and multi-scale pyramid network (DAMP): a novel approach to chromosome classification," Cluster Computing, vol. 29, no. 1, 2026, doi: 10.1007/s10586-025-05862-4.
  54. K. Jain, P. Krishnan, P. Pachiyannan, L. Jaganathan, M. Attique Khan, Y. Li, "Toward Smart 5G and 6G: Standardization of AI-Native Network Architectures and Semantic Communication Protocols," IEEE Communications Standards Magazine, vol. 10, no. 3, pp. 236-247, 2026, doi: 10.1109/MCOMSTD.2025.3618114.
  55. S. Iqbal, X. Zhong, M. Attique Khan, Z. Wu, N. Abdullah Almujally, W. Liu, F. Albalwy, A. Hussain, "Hierarchical federated learning with paillier encryption: synergistic approach for secure analytics of sensitive healthcare data," Expert Systems with Applications, vol. 330, 2026, doi: 10.1016/j.eswa.2026.132969.
  56. J. Yang, M. U. Ali, G. Kumar, M. A. Khan, Z. A. Shaikh, V. Govindarajan, S. Prajapat, L. Y. Por, S. W. Lee, "LLMEdgeSec: LLM-Enabled Log Reasoning for Zero-Day IoT Threat Detection," IEEE Internet of Things Journal, vol. 13, no. 15, pp. 32546-32555, 2026, doi: 10.1109/JIOT.2026.3686053.
  57. J. Arco, R. Alizadehsani, M. Atzmueller, E. Barakova, L. Bloch, G. Bologna, P. Bonomini, S. B. Cho, J. Cortes, A. Elazab, M. Khan, E. Domínguez, R. Duro, A. Fernández-Caballero, E. Fernández-Jover, J. Ferrández-Vicente, C. M. Friedrich, J. García-Rodríguez, J. Garrigós, A. Gómez-Rodellar, P. Gómez-Vilda, M. Graña, A. Hernández, Y. Huang, C. Jiménez-Mesa, J. Levin, N. Liu, Q. Ma, F. Martínez-Murcia, R. Martínez-Tomás, J. Molina, G. Nalepa, A. Ortiz, D. Palacios-Alonso, M. Ponticorvo, A. Pereira, J. Ramírez, M. Rincón, I. Rodríguez-Rodríguez, L. Su, J. Suckling, M. Val-Calvo, P. Varona, C. Vázquez-García, S. Wang, Y. D. Zhang, J. Gorriz, "Advancing multimodal neuroimaging: Explainable and responsible AI for early dementia detection," NeuroImage, 2026, doi: 10.1016/j.neuroimage.2026.122142.
  58. U. Wushishi, B. S. Ali, N. Hussain, A. Magdich, S. Dhahbi, O. Almomani, A. Arishi, M. A. Khan, I. Ullah, "Game-Theoretic Federated Deception for Consumer Electronics: Adaptive Coordination in IoT Security," IEEE Transactions on Consumer Electronics, 2026, doi: 10.1109/TCE.2026.3706519.
  59. I. Haider, M. A. Khan, S. Masood, H. Aldossary, L. Jamel, Y. Cho, Y. Nam, "A Novel Fusion Mechanism-Based Lightweight Efficient Convolutional Attention Network for Jute Pest Classification," IET Image Processing, vol. 20, no. 1, 2026, doi: 10.1049/ipr2.70349.
  60. K. Ahmad Awan, S. Khan, M. Uddin, H. Alsufyani, M. H. Alanazi, M. A. Khan, "Coherence-Driven Edge Intelligence for Trustworthy Vehicular Low-Altitude Internet of Things Networks," IEEE Internet of Things Journal, vol. 13, no. 16, pp. 37970-37977, 2026, doi: 10.1109/JIOT.2026.3702507.
  61. M. J. Abbas, M. A. Khan, A. Hamza, S. Alsenan, A. Alasiry, M. Marzougui, J. Shin, Y. Nam, "DFSNet-VLM: A Hybrid Frequency-Aware and Vision-Language Framework for Remote Sensing Scene Classification and Semantic Image Explanation," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 19, pp. 12933-12955, 2026, doi: 10.1109/JSTARS.2026.3677131.
  62. M. K. Hasan, S. R. Kabir, S. Islam, S. Abdullah, M. A. Khan, G. B. Brahim, Y. Li, H. S. Abbas, "Edge Smart Meter Based LSTM Federated Learning With AES Cryptographic Blockchain for Smart Grid AIoT Networks," IEEE Communications Standards Magazine, vol. 10, no. 1, pp. 33-40, 2026, doi: 10.1109/MCOMSTD.2025.3575512.
  63. M. Z. Sajid, M. F. Hamid, K. B. Taas, M. A. Khan, L. Almuqren, M. Alhefdi, Y. Nam, Z. Yang, "SASR: Sensor-Agnostic Semantic Representation Unification for Cross-Modal RGB and Hyperspectral Aerial Scene Recognition," Remote Sensing, vol. 18, no. 9, 2026, doi: 10.3390/rs18091444.
  64. J. Yang, V. Govindarajan, M. Attique Khan, M. U. Ali, Z. A. Shaikh, J. Bhola, A. F. Alenezi, J. Baili, L. Y. Por, S. W. Lee, "Q-AudioShield: Quantum-Resilient Audio Watermarking and Authentication Framework for Secure CIoT Multimedia Streams," IEEE Transactions on Consumer Electronics, vol. 72, no. 1, pp. 2476-2486, 2026, doi: 10.1109/TCE.2025.3646370.
  65. S. Alammar, H. Aldawsari, A. Alsahly, K. A. Alghamdi, M. A. Khan, "Federated Explainable AI for Privacy-Preserving Cardiovascular Disease Detection Using Wearable Devices," IEEE Transactions on Consumer Electronics, vol. 72, no. 1, pp. 2164-2175, 2026, doi: 10.1109/TCE.2025.3647850.
  66. M. Khalid, J. Ali, R. A. Raza, M. A. Khan, Y. B. Ko, B. H. Roh, "An Effective Continual Few-Shot Video Learning for Dynamic and Resource-Limited Consumer Edge Environments," IEEE Transactions on Consumer Electronics, 2026, doi: 10.1109/TCE.2026.3719285.
  67. M. J. Abbas, M. A. Khan, W. Ahmed, A. Hamza, N. B. Hadj-Alouane, S. Alsenan, M. T. H. Alouane, Y. Nam, "A Novel Multiscale Feature Fusion With Adaptive Scale-Space Pyramid Network for Aerial Scene Recognition Using Remote Sensing Images," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 19, pp. 4337-4357, 2026, doi: 10.1109/JSTARS.2026.3651659.
  68. W. Ahmad, Y. Nam, F. Ali, M. A. Khan, M. Khan, M. A. Khan, J. Baili, "Collaborative Cloud Computing Based Internet of UAV Things Implementation with Harris Hawks Optimization Algorithm for HetNet in Mountainous Zones," Human-centric Computing and Information Sciences, vol. 16, 2026, doi: 10.22967/HCIS.2026.16.004.
  69. J. Yang, D. Hu, M. A. Khan, L. Cascone, M. W. Bhatt, P. L. Yee, H. Yao, Q. Yang, "FSSL-TANet: A Federated Semi-Supervised Temporal Attention Network for Personalized Early Detection of Age-Related Macular Degeneration in Consumer Electronics," IEEE Transactions on Consumer Electronics, 2026, doi: 10.1109/TCE.2026.3703836.
  70. M. A. Khan, A. Alasiry, M. Marzougui, I. Bayhan, S. S. Kuna, G. S. N. Rao, S. A. Algamdi, H. Aldossary, "Securing Intelligent Transportation Systems: A Dual-Framework Approach for Privacy Protection and Cybersecurity Using Generative AI," IEEE Transactions on Intelligent Transportation Systems, vol. 27, no. 8, pp. 10390-10401, 2026, doi: 10.1109/TITS.2025.3591007.
  71. W. Ibrar, M. A. Khan, A. Hamza, S. Rubab, O. Alqahtani, M. T. H. Alouane, S. Teng, Y. Nam, "A novel interpreted deep network for Alzheimer’s disease prediction based on inverted self attention and vision transformer," Scientific Reports, vol. 15, no. 1, 2025, doi: 10.1038/s41598-025-15007-7.
  72. L. Wang, Q. Sun, J. Pei, M. A. Khan, M. M. Al Dabel, Y. D. Al-Otaibi, A. K. Bashir, "Bitemporal Remote Sensing Change Detection With State-Space Models," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 18, pp. 14942-14954, 2025, doi: 10.1109/JSTARS.2025.3576433.
  73. H. Byeon, M. Alsaadi, A. Quraishi, I. Keshta, M. Soni, P. Kumar, M. Bhadla, M. A. Khan, R. Damaševičius, "Intelligent cognitive internet of things-based spectrum sensing algorithm for future communication," International Journal of Web and Grid Services, vol. 21, no. 1, pp. 18-41, 2025, doi: 10.1504/IJWGS.2025.144970.
  74. A. Khan, J. Y. Kim, C. Kim, M. A. Khan, H. Shin, J. Woo, Y. Nam, "Human fall direction recognition in the indoor and outdoor environment using multi self-attention RBnet deep architectures and tree seed optimization," Scientific Reports, vol. 15, no. 1, 2025, doi: 10.1038/s41598-025-11031-9.
  75. N. Khan, S. Nisar, M. A. Khan, M. Attique Khan, D. Camacho, Y. A. U. Rehman, A. Hussain, "Federated Learning: Concepts, Challenges and Implementation," Expert Systems, vol. 42, no. 8, 2025, doi: 10.1111/exsy.70096.
  76. F. Al-Quayed, N. Tariq, M. Humayun, F. Aslam Khan, M. Attique Khan, T. S. Alnusairi, "Securing the Road Ahead: A Survey on Internet of Vehicles Security Powered by a Conceptual Blockchain-Based Intrusion Detection System for Smart Cities," Transactions on Emerging Telecommunications Technologies, vol. 36, no. 4, 2025, doi: 10.1002/ett.70133.
  77. M. Mushtaq, M. A. Khan, Z. Hussain, S. Ayouni, M. Maddeh, F. Alhayan, "A Network-Level Fused DenseInc226 Lightweight Architecture for Alzheimer’s Disease Prediction from Magnetic Resonance Imaging," Cognitive Computation, vol. 17, no. 6, 2025, doi: 10.1007/s12559-025-10505-2.
  78. M. Fatima, M. A. Khan, S. Shaheen, S. Kadry, O. Alqahtani, M. Turki-Hadj Alouane, "Attention Embedded Residual Bottleneck CNN Architecture for Breast Cancer Diagnosis in Ultrasound Images," International Journal of Interactive Multimedia and Artificial Intelligence, vol. 9, no. 5, pp. 108-118, 2025, doi: 10.9781/ijimai.2025.03.005.
  79. J. Yang, E. Rezvani, M. A. Khan, B. Heidari, H. M. Albarakati, S. Prajapat, M. Abdel-Salam, L. Y. Por, "QB-AutoIDS: A Blockchain-Based Decentralized Autonomous Cyberattack Detection System for Consumer Electronics Using Hybrid Double Q-Learning and Bi-LSTM," IEEE Transactions on Consumer Electronics, vol. 71, no. 4, pp. 11487-11496, 2025, doi: 10.1109/TCE.2025.3600429.
  80. S. Iqbal, X. Zhong, M. A. Khan, Z. Wu, D. A. AlHammadi, W. Liu, I. A. Choudhry, "Continual and wisdom learning for federated learning: A comprehensive framework for robustness and debiasing," Information Processing and Management, vol. 62, no. 5, 2025, doi: 10.1016/j.ipm.2025.104157.
  81. S. Iqbal, X. Zhong, M. A. Khan, Z. Wu, D. A. AlHammadi, W. Liu, I. A. Choudhry, "Hierarchical Continual Learning for Domain-Knowledge Retention in Healthcare Federated Learning," IEEE Transactions on Consumer Electronics, vol. 71, no. 2, pp. 5025-5035, 2025, doi: 10.1109/TCE.2025.3563909.
  82. A. Jokic, M. Zivkovic, L. Jovanovic, M. Mravik, M. Sarac, V. Simic, M. A. Khan, N. Bacanin, "A convolutional neural network-enhanced attack detection framework with explainable artificial intelligence for internet of things-based metaverse security," Engineering Applications of Artificial Intelligence, vol. 158, 2025, doi: 10.1016/j.engappai.2025.111358.
  83. Z. Song, H. Ding, L. Jamel, J. Yang, M. A. Khan, J. M. Gorriz, J. Baili, L. Y. Por, "Smart-City Spatiotemporal Data-Driven Trajectory Prediction for Autonomous Vehicles via Attention Mechanisms and Self-Supervised Learning," IEEE Transactions on Consumer Electronics, vol. 71, no. 4, pp. 11834-11845, 2025, doi: 10.1109/TCE.2025.3603330.
  84. M. J. Abbas, M. A. Khan, A. Hamza, S. Alsenan, A. Rehman, J. Baili, Y. Zhang, "C3BAM-XAI: Convolutional Block Attention Module Enhanced Explainable Artificial Intelligence-Based Parkinson’s Disease Stage Classification," Cognitive Computation, vol. 17, no. 3, 2025, doi: 10.1007/s12559-025-10472-8.
  85. L. Zhou, H. Chen, D. Pang, J. Yang, M. A. Khan, N. Kraiem, L. Y. Por, "A Hyperchaotic Image Hiding Scheme for Consumer Electronics Based on Enhanced Lagrange Interpolation and BCH Coding Optimization," IEEE Transactions on Consumer Electronics, vol. 71, no. 3, pp. 8698-8707, 2025, doi: 10.1109/TCE.2025.3593780.
  86. S. Masood, M. A. Al Bashrawi, M. A. Khan, A. Nazir, "Exploring ChatGPT applications in healthcare: a comprehensive overview," Visual Computer, vol. 41, no. 7, pp. 4893-4914, 2025, doi: 10.1007/s00371-024-03697-5.
  87. Y. Li, M. A. Khan, M. K. Khan, M. K. Hasan, "Guest Editorial Sustainable Computing for Next-Generation Low-Carbon Agricultural Consumer Electronics," IEEE Transactions on Consumer Electronics, vol. 71, no. 4, pp. 12358-12360, 2025, doi: 10.1109/TCE.2025.3599548.
  88. S. Parez, N. S. Alghamdi, T. Mahmood, W. Ullah, M. A. Khan, T. Houda, N. Dilshad, "Towards precision agriculture: metaheuristic model compression for enhanced pest recognition," Scientific Reports, vol. 15, no. 1, 2025, doi: 10.1038/s41598-025-08307-5.
  89. M. J. Abbas, M. A. Khan, A. Hussain, S. Ayouni, M. Maddeh, F. Alhayan, "XRDNet: a Novel Explainable Residual Dense Fusion Network for Alzheimer’s Disease Recognition from MRI Images," Cognitive Computation, vol. 17, no. 6, 2025, doi: 10.1007/s12559-025-10521-2.
  90. M. A. A. Khan, M. A. Khan, A. U. Rehman, A. I. Alzahrani, N. Alalwan, D. Gupta, S. A. Rahin, Y. Zhang, "BAHGRF3: Human gait recognition in the indoor environment using deep learning features fusion assisted framework and posterior probability moth flame optimisation," CAAI Transactions on Intelligence Technology, vol. 10, no. 2, pp. 387-401, 2025, doi: 10.1049/cit2.12368.
  91. M. A. Khan, U. Shafiq, A. Hamza, A. M. Mirza, J. Baili, D. A. AlHammadi, H. C. Cho, B. Chang, "A novel network-level fused deep learning architecture with shallow neural network classifier for gastrointestinal cancer classification from wireless capsule endoscopy images," BMC Medical Informatics and Decision Making, vol. 25, no. 1, 2025, doi: 10.1186/s12911-025-02966-0.
  92. A. Meghanath, S. Das, B. K. Behera, M. Attique Khan, S. Al-Kuwari, A. Farouk, "QDCNN: Quantum Deep Learning for Enhancing Safety and Reliability in Autonomous Transportation Systems," IEEE Transactions on Intelligent Transportation Systems, vol. 26, no. 9, pp. 14292-14302, 2025, doi: 10.1109/TITS.2025.3546353.
  93. J. A. Khan, M. A. Khan, M. Al-Khalidi, D. A. AlHammadi, A. Alasiry, M. Marzougui, Y. Zhang, F. Khan, "Design of Super Resolution and Fuzzy Deep Learning Architecture for the Classification of Land Cover and Landsliding Using Aerial Remote Sensing Data," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 18, pp. 337-351, 2025, doi: 10.1109/JSTARS.2024.3490775.
  94. S. Khan, S. Ali, K. F. Iqbal, Y. Ayaz, J. H. Brusay, M. A. Khan, J. Baili, "Active interception of moving ball: a multi-player strategy for humanoid soccer robots," Multimedia Tools and Applications, vol. 84, no. 27, pp. 32487-32503, 2025, doi: 10.1007/s11042-024-20491-6.
  95. X. Xu, J. Yang, D. Hu, M. A. Khan, L. Y. Por, C. Li, "Diffusion Model with Relation-Aware Attention and Edge-Aware Constraint for Multi-Modal Brain Tumor Segmentation," IEEE Journal of Biomedical and Health Informatics, 2025, doi: 10.1109/JBHI.2025.3607446.
  96. M. A. Khan, S. Alsenan, S. A. Algamdi, H. Aldossary, K. N. Raju, J. Baili, M. A. Saleem, "Integrating data mining with transcranial focused ultrasound to refine neuralgia treatment strategies," Journal of Neuroscience Methods, vol. 418, 2025, doi: 10.1016/j.jneumeth.2025.110433.
  97. F. Yaseen, M. Rashid, M. Y. Shabir, M. A. Khan, N. Hussain, "Acute Lymphoblastic Leukemia Classification: Deep Learning Techniques for Blood Diseases Diagnosis," Journal of Computing and Biomedical Informatics, vol. 9, no. 1, 2025.
  98. J. Yang, Y. Xia, M. A. Khan, S. Anakal, L. Y. Por, J. Baili, S. Wu, Q. Yang, "Enhancing Privacy-Preserved Iris Recognition in Consumer Electronics: A Soft Actor-Critic and GAN-Based Digital Forensic Framework With Bayesian Hyperparameter Optimization," IEEE Transactions on Consumer Electronics, vol. 71, no. 4, pp. 11088-11098, 2025, doi: 10.1109/TCE.2025.3625642.
  99. M. Gao, J. Sun, Q. Li, M. A. Khan, J. Shang, X. Zhu, G. Jeon, "Towards trustworthy image super-resolution via symmetrical and recursive artificial neural network," Image and Vision Computing, vol. 158, 2025, doi: 10.1016/j.imavis.2025.105519.
  100. T. M. Ghazal, S. Islam, M. K. Hasan, A. A. Abu-Shareha, U. A. Mokhtar, M. A. Khan, J. Baili, A. Q. Saeed, M. W. Bhatt, M. Ahmad, "Generative Federated Learning With Small and Large Models in Consumer Electronics for Privacy-Preserving Data Fusion in Healthcare Internet of Things," IEEE Transactions on Consumer Electronics, vol. 71, no. 2, pp. 3413-3430, 2025, doi: 10.1109/TCE.2025.3572629.
  101. S. Kiziloluk, M. Karaduman, S. Aslan, M. Yildirim, M. A. Khan, F. Alhayan, Y. Nam, "A novel feature fusion and mountain gazelle optimizer based framework for the recognition of jute pests in sustainable agriculture," Scientific Reports, vol. 15, no. 1, 2025, doi: 10.1038/s41598-025-00642-x.
  102. S. Islam, S. Topazal, M. K. Hasan, R. A. Kolandaisamy, H. S. Abbas, N. Vo, R. Thakkar, M. A. Khan, D. Gupta, D. A. AlHammadi, "Secure and fast mobility handover scheme for IoMT in 5 G and future 6 G networks," Alexandria Engineering Journal, vol. 128, pp. 127-143, 2025, doi: 10.1016/j.aej.2025.05.063.
  103. H. Byeon, S. Gupta, I. Keshta, M. Soni, M. A. Khan, G. B. Brahim, D. A. Al Hammadi, "Mobile Edge Computing Model for Dynamically Processes Tasks Through Multi-UAV Cooperation," Journal of Circuits, Systems and Computers, vol. 34, no. 9, 2025, doi: 10.1142/S0218126625502056.
  104. I. Haider, M. A. Khan, S. Masood, S. A. Algamdi, A. Alasiry, M. Marzougui, Y. Nam, "Performance of pre-trained deep learning models for land use land cover classification using remote sensing imaging datasets," Environmental Earth Sciences, vol. 84, no. 11, 2025, doi: 10.1007/s12665-025-12317-x.
  105. M. Adnan, Y. Yi, N. A. Wani, S. Alsenan, M. A. Khan, M. S. Anwar, "Neurosymbolic Digital Twin for Cardiovascular Disease Prediction and Personalized Modeling," IEEE Journal of Biomedical and Health Informatics, 2025, doi: 10.1109/JBHI.2025.3647298.
  106. R. Saikia, S. Gupta, A. Sarma, N. H. Singh, D. Gupta, M. A. Khan, A. K. Dutta, S. S. Devi, "MHAOSL-Net: A Global Context-Aware Attention Free Transformer Network With Orthogonal SoftMax Layer to Detect Subtypes of Acute Lymphoblastic Leukemia," International Journal of Imaging Systems and Technology, vol. 35, no. 5, 2025, doi: 10.1002/ima.70189.
  107. R. Mehla, R. Garg, M. A. Khan, "Privacy-Preserving Solution for Data Sharing in IoT-Based Smart Consumer Electronic Devices for Healthcare," IEEE Transactions on Consumer Electronics, vol. 71, no. 2, pp. 4586-4595, 2025, doi: 10.1109/TCE.2025.3540642.
  108. N. K. Gunda, H. Aldawsari, M. Alsaadi, M. Soni, N. Shavkatov, M. E. Seno, Y. Li, M. A. Khan, N. Kraiem, "Few-Shot Lightweight License Plate Recognition in Complex Environments for Intelligent Transportation Systems," IEEE Transactions on Intelligent Transportation Systems, 2025, doi: 10.1109/TITS.2025.3591015.
  109. S. Rubab, M. Jamshed, M. A. Khan, N. A. Almujally, R. Damaševičius, A. Hussain, N. Han, Y. Nam, "Gastrointestinal tract disease classification from wireless capsule endoscopy images based on deep learning information fusion and Newton Raphson controlled marine predator algorithm," Scientific Reports, vol. 15, no. 1, 2025, doi: 10.1038/s41598-025-17204-w.
  110. W. Ahmad, F. Ali, Y. Ullah, M. Asghar Khan, M. Khan, S. Khan, M. Attique Khan, A. Ali, S. Almansour, "IoUT and Collaborative Cloud Computing-Based UAV Channel Modeling for Agriculture Communication," IEEE Transactions on Consumer Electronics, vol. 71, no. 3, pp. 8067-8081, 2025, doi: 10.1109/TCE.2025.3593867.
  111. Y. Li, M. Wei, J. Nie, J. Zhao, M. Attique Khan, K. Fang, T. R. Gadekallu, "AIoT-Enhanced Outlier-Resilient SLAM for Smart Warehousing in Dynamic Environments," IEEE Internet of Things Journal, vol. 12, no. 19, pp. 39505-39518, 2025, doi: 10.1109/JIOT.2025.3584939.
  112. S. Khan, M. Khan, M. A. Khan, F. Luo, M. Usman, A. Irshad, K. Wu, L. Wang, M. A. Khan, "PBatch: Pseudonym Certificate Batch Authentication With Generative AI-Based Cache for Cooperative Intelligent Transportation Systems," IEEE Transactions on Intelligent Transportation Systems, 2025, doi: 10.1109/TITS.2025.3558366.
  113. S. Iqbal, X. Zhong, M. A. Khan, Z. Wu, A. Hussain, S. Alsenan, W. Liu, "Adaptive fuzzy convolution networks for uncertainty-aware image analysis in ambiguous environments," Expert Systems with Applications, vol. 292, 2025, doi: 10.1016/j.eswa.2025.128407.
  114. Y. K. Jadoon, M. A. Khan, Y. N. Khalid, J. Baili, N. Bacanin, M. Hong, Y. Nam, "InBRwSANet: Self-attention based parallel inverted residual bottleneck architecture for human action recognition in smart cities," PLOS ONE, vol. 20, no. 5 May, 2025, doi: 10.1371/journal.pone.0322555.
  115. J. Yang, V. Govindarajan, X. Xu, M. A. Khan, Z. A. Shaikh, S. Ayouni, M. Shabaz, T. R. Gadekallu, L. Y. Por, "Enhancing Cryptographic Security in Smart Consumer Electronics With a Hybrid Classical–Post-Quantum Framework," IEEE Transactions on Consumer Electronics, vol. 71, no. 4, pp. 11289-11299, 2025, doi: 10.1109/TCE.2025.3603827.
  116. S. Maqsood, N. Maqsood, S. Shahid, F. E. Subhan, M. A. Sarwar, M. Yousufi, A. Qurthobi, A. Zafar, M. A. Khan, R. Damaševičius, R. Maskeliūnas, "Knee osteoarthritis network: A hybrid transformer-based approach for enhanced detection and grading of knee osteoarthritis," Engineering Applications of Artificial Intelligence, vol. 159, 2025, doi: 10.1016/j.engappai.2025.111751.
  117. S. Amanlou, M. K. Hasan, U. Asma' Mokhtar, K. Mahmood Malik, S. Islam, S. Khan, M. Attique Khan, M. Asghar Khan, "Cybersecurity Challenges in Smart Grid Systems: Current and Emerging Attacks, Opportunities, and Recommendations," IEEE Open Journal of the Communications Society, vol. 6, pp. 1965-1997, 2025, doi: 10.1109/OJCOMS.2025.3545153.
  118. S. Iqbal, X. Zhong, M. A. Khan, M. Shabaz, Z. Wu, D. A. AlHammadi, W. Liu, S. A. Algamdi, Y. Li, "Transforming Healthcare Diagnostics With Tensorized Attention and Continual Learning on Multi-Modal Data," IEEE Transactions on Consumer Electronics, vol. 71, no. 2, pp. 3391-3412, 2025, doi: 10.1109/TCE.2025.3563986.
  119. S. Gupta, M. Mudhafar, Y. D. Borole, V. Mahalakshmi, J. V. N. Ramesh, M. A. Khan, "Optimizing transcranial focused ultrasound parameters: A methodological advancement in non-invasive brain stimulation for next-gen clinical applications," Neuroscience Informatics, vol. 5, no. 2, 2025, doi: 10.1016/j.neuri.2025.100204.
  120. S. Iqbal, X. Zhong, M. A. Khan, Z. Wu, D. A. Alhammadi, W. Liu, "Family-based continual learning for multi-domain pattern analysis in federated frameworks with GCN and ViT," Neural Networks, vol. 192, 2025, doi: 10.1016/j.neunet.2025.107920.
  121. S. S. Betgeri, M. Shukla, D. Kumar, S. B. Khan, M. A. Khan, N. A. Alkhaldi, "Enhancing seizure detection with hybrid XGBoost and recurrent neural networks," Neuroscience Informatics, vol. 5, no. 2, 2025, doi: 10.1016/j.neuri.2025.100206.
  122. Y. Chen, Y. He, J. Yang, D. Zhang, Z. Yuan, M. A. Khan, J. Baili, P. L. Yee, "EMPOWER: Evolutionary Medical Prompt Optimization With Reinforcement Learning," IEEE Journal of Biomedical and Health Informatics, 2025, doi: 10.1109/JBHI.2025.3621907.
  123. A. E. Muhammad, K. C. Yow, N. Bačanin-Džakula, M. A. Khan, "L-xaids: A LIME-based eXplainable AI framework for intrusion detection systems," Cluster Computing, vol. 28, no. 10, 2025, doi: 10.1007/s10586-025-05326-9.
  124. W. Wang, S. Zhang, Z. Khan, Z. Liu, D. Cai, T. Li, H. Huang, M. Attique Khan, W. Boulila, "A Privacy-Preserving Authentication Scheme for Federated Learning in Drone-Assisted Vehicular Networks," IEEE Transactions on Intelligent Transportation Systems, 2025, doi: 10.1109/TITS.2025.3622669.
  125. M. Asghar, Z. F. Khan, M. Ramzan, M. A. Khan, J. Baili, Y. Zhang, Y. Nam, Y. C. Nam, "A lightweight hybrid model for scalable and robust plant leaf disease classification," Scientific Reports, vol. 15, no. 1, 2025, doi: 10.1038/s41598-025-08788-4.
  126. M. Siddiqah, K. Javed, S. O. Gilani, M. A. Khan, S. Alsenan, R. Damaševic̆ius, Y. Zhang, "DSA: Deep Self-Attention Medical Transformer Neuro-Technology for Brain Tumor Segmentation," International Journal of Imaging Systems and Technology, vol. 35, no. 3, 2025, doi: 10.1002/ima.70109.
  127. Y. I. Mohammed, R. Hassan, M. K. Hasan, H. S. Abbas, M. A. Khan, J. Baili, D. Gupta, "Optimizing UAV-assisted IoT sensor networks: A multi-objective approach to data collection and routing," Alexandria Engineering Journal, vol. 115, pp. 47-56, 2025, doi: 10.1016/j.aej.2024.12.018.
  128. V. Dillshad, M. A. Khan, M. Nazir, J. Ahmad, D. A. AlHammadi, T. Houda, H. C. Cho, B. Chang, "A Multi-Layers Information Fused Deep Architecture for Skin Cancer Classification in Smart Healthcare," Computers, Materials and Continua, vol. 83, no. 3, pp. 5299-5321, 2025, doi: 10.32604/cmc.2025.063851.
  129. S. Nasser Al-Jaradi, M. Kamrul Hasan, S. Islam, B. Kumar Pandey, J. Baili, M. Attique Khan, H. Saleh Abbas, N. Hanis Sabrina Suhaimi, "A Real-Time Monitoring of Communication Protocols in 6G Mobile Network Consumer Electronics Applications Using Intelligent Surface and Internet of Things," IEEE Transactions on Consumer Electronics, vol. 71, no. 3, pp. 8603-8616, 2025, doi: 10.1109/TCE.2025.3587118.
  130. M. K. Bhatti, M. A. Khan, S. Shaheen, A. Hamza, A. Arishi, D. A. AlHammadi, S. A. Algamdi, Y. Nam, "A Novel Approach for High-Resolution Coastal Areas and Land Use Recognition From Remote Sensing Images Based on Multimodal Network-Level Fusion of SRAN3 and Lightweight Four Encoders ViT," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 18, pp. 6844-6858, 2025, doi: 10.1109/JSTARS.2025.3542194.
  131. M. Fatima, M. A. Khan, A. M. Mirza, J. Shin, A. Alasiry, M. Marzougui, J. Cha, B. Chang, "An adaptive deep learning approach based on InBNFus and CNNDen-GRU networks for breast cancer and maternal fetal classification using ultrasound images," Scientific Reports, vol. 15, no. 1, 2025, doi: 10.1038/s41598-025-03402-z.
  132. J. Aftab, M. A. Khan, S. Arshad, S. u. Rehman, D. A. AlHammadi, Y. Nam, "Artificial intelligence based classification and prediction of medical imaging using a novel framework of inverted and self-attention deep neural network architecture," Scientific Reports, vol. 15, no. 1, 2025, doi: 10.1038/s41598-025-93718-7.
  133. M. J. Abbas, M. A. Khan, A. Hamza, S. Alsenan, A. Alasiry, M. Marzougui, Y. Li, Y. Nam, "SEMSF-Net: Explainable Squeeze–Excitation Multiscale Fusion Network for Aerial Scene and Coastal Area Recognition Using Remote Sensing Images," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 18, pp. 15755-15773, 2025, doi: 10.1109/JSTARS.2025.3580801.
  134. Y. Ibraheem Mohammed, R. Hassan, M. K. Hasan, S. Islam, H. Saleh Abbas, M. Asghar Khan, M. A. Khan, "Revolutionizing FANETs With Reinforcement Learning: Optimized Data Forwarding and Real-Time Adaptability," IEEE Open Journal of the Communications Society, vol. 6, pp. 4295-4310, 2025, doi: 10.1109/OJCOMS.2025.3565471.
  135. P. N. Srinivasu, G. JayaLakshmi, S. C. Narahari, V. H. C. de Albuquerque, M. A. Khan, H. C. Cho, B. Chang, "Super-Resolution Generative Adversarial Network with Pyramid Attention Module for Face Generation," Computers, Materials and Continua, vol. 85, no. 1, pp. 2117-2139, 2025, doi: 10.32604/cmc.2025.065232.
  136. M. F. Malik, S. Ali, K. Javed, M. A. Khan, Y. Ayaz, Y. Nam, M. B. Sial, "Hybrid control paradigm for exploring VR teleoperation and DRL-driven autonomy in mobile robotics," Multimedia Tools and Applications, vol. 84, no. 39, pp. 47589-47618, 2025, doi: 10.1007/s11042-025-21024-5.
  137. S. Khan, M. Khan, M. A. Khan, M. A. Khan, L. Wang, K. Wu, "A Blockchain-Enabled AI-Driven Secure Searchable Encryption Framework for Medical IoT Systems," IEEE Journal of Biomedical and Health Informatics, 2025, doi: 10.1109/JBHI.2025.3538623.
  138. Y. K. Jadoon, Y. N. Khalid, M. A. Khan, J. Shin, F. Alhayan, H. C. Cho, B. Chang, "A Novel Attention-Based Parallel Blocks Deep Architecture for Human Action Recognition," CMES - Computer Modeling in Engineering and Sciences, vol. 144, no. 1, pp. 1143-1164, 2025, doi: 10.32604/cmes.2025.066984.
  139. T. M. Ghazal, M. K. Hasan, K. N. Raju, M. A. Khan, A. Alshamayleh, M. W. Bhatt, M. Ahmad, "Data Space Privacy Model with Federated Learning Technique for Securing IoT Communications in Autonomous Marine Vehicles," Journal of Intelligent and Robotic Systems: Theory and Applications, vol. 111, no. 3, 2025, doi: 10.1007/s10846-025-02298-1.
  140. S. Topazal, S. Islam, R. A. Kolandaisamy, M. K. Hasan, A. F. Ismail, N. H. Sabrina Suhaimi, H. S. Abbas, M. A. Khan, K. A. Alezabi, "Intelligent device to device handover management techniques for 5G/6G and beyond," Journal of Supercomputing, vol. 81, no. 5, 2025, doi: 10.1007/s11227-025-07182-1.
  141. S. Rubab, M. S. Ullah, M. A. Khan, M. Shabaz, A. Aleryani, M. T. H. Alouane, F. Alhayan, "BNResNet: Batch Normalization-Inspired Deep Bottleneck Residual Architecture for Aerial Scene Recognition in Low-Contrast Remote Sensing Images," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 18, pp. 21997-22012, 2025, doi: 10.1109/JSTARS.2025.3595365.
  142. I. Haider, M. A. Khan, M. Nazir, S. Masood, N. Kraiem, D. Abdulaziz Alhammadi, "An Automated Framework of Superpixels-Saliency Map and Gated Recurrent Unit Deep Convolutional Neural Network for Land Cover and Crops Disease Classification," IEEE Access, vol. 13, pp. 76370-76387, 2025, doi: 10.1109/ACCESS.2025.3561151.
  143. S. Iqbal, X. Zhong, M. A. Khan, Z. Wu, N. Abdullah Almujally, W. Liu, A. Hussain, "FairBias: Mitigating bias in medical image diagnosis with mixed noise and class imbalance," Neurocomputing, vol. 651, 2025, doi: 10.1016/j.neucom.2025.130910.
  144. Y. Li, B. Hou, J. Nie, X. Chao, M. A. Khan, K. Fang, T. R. Gadekallu, "Single-View 3-D Reconstruction of Jujube Through Diffusion Model and Distributed Computing in Internet of Unmanned Agents," IEEE Internet of Things Journal, vol. 12, no. 21, pp. 44204-44214, 2025, doi: 10.1109/JIOT.2025.3592958.
  145. T. Li, P. Niu, S. Khan, M. Asghar Khan, M. Khan, M. Attique Khan, Y. Wang, A. Hussain, "APR-FL: Defending Against Hidden Backdoor Attacks With Adaptive Parameter Replacement," IEEE Transactions on Consumer Electronics, vol. 71, no. 4, pp. 12149-12156, 2025, doi: 10.1109/TCE.2025.3612464.
  146. R. Saikia, R. Deka, A. Sarma, N. H. Singh, M. A. Khan, S. S. Devi, "VNLU-Net: Visual Network with Lightweight Union-net for Acute Myeloid Leukemia Detection on Heterogeneous Dataset," Biomedical Signal Processing and Control, vol. 107, 2025, doi: 10.1016/j.bspc.2025.107840.
  147. M. A. Khan, A. Hamza, W. Ibrar, L. Jamel, A. Alasiry, M. Marzougui, S. Kumari, Y. Nam, "Coastal and Land Use Land Cover Area Recognition from High-Resolution Remote Sensing Images Using a Novel Multimodal Attention Inception Residual Deep Network," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 18, pp. 17460-17475, 2025, doi: 10.1109/JSTARS.2025.3586324.
  148. F. Rauf, M. A. Khan, M. K. Bhatti, A. Hamza, A. Aleryani, M. T. H. Alouane, D. A. Alhammadi, Y. Nam, "FMANet: Super-Resolution Inverted Bottleneck-Fused Self-Attention Architecture for Remote Sensing Satellite Image Recognition," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 17, pp. 18622-18634, 2024, doi: 10.1109/JSTARS.2024.3475580.
  149. L. Zhou, Z. Zhu, H. Gao, C. Wang, M. A. Khan, M. Ullah, S. U. Khan, "Multi-omics graph convolutional networks for digestive system tumour classification and early-late stage diagnosis," CAAI Transactions on Intelligence Technology, vol. 9, no. 6, pp. 1572-1586, 2024, doi: 10.1049/cit2.12395.
  150. L. Xuanzhi, A. Hakeem, L. Mohaisen, M. Umer, M. A. Khan, S. Alsenan, S. Alsubai, N. Innab, "BrainNet: an automated approach for brain stress prediction utilizing electrodermal activity signal with XLNet model," Frontiers in Computational Neuroscience, vol. 18, 2024, doi: 10.3389/fncom.2024.1482994.
  151. M. T. Nabi, S. Ali, Z. Mahmood, M. A. Khan, S. Alsenan, "A self-supervised deep-driven model for automatic weather classification from remote sensing images," International Journal of Remote Sensing, 2024, doi: 10.1080/01431161.2024.2431184.
  152. A. Kanwal, K. Javed, S. Ali, M. A. Khan, S. Alsenan, A. Alasiry, M. Marzougui, S. Rubab, "ALATT-network: automated LSTM-based framework for classification and monitoring of autism spectrum disorder therapy tasks," Signal, Image and Video Processing, vol. 18, no. 12, pp. 9205-9221, 2024, doi: 10.1007/s11760-024-03540-3.
  153. T. Saeed, M. A. Khan, A. Hamza, M. Shabaz, W. Z. Khan, F. Alhayan, L. Jamel, J. Baili, "Neuro-XAI: Explainable deep learning framework based on deeplabV3+ and bayesian optimization for segmentation and classification of brain tumor in MRI scans," Journal of Neuroscience Methods, vol. 410, 2024, doi: 10.1016/j.jneumeth.2024.110247.
  154. H. M. Albarakati, S. Ur Rehman, M. A. Khan, A. Hamza, J. Aftab, A. Alasiry, M. Marzougui, M. Nappi, Y. Nam, "A Unified Super-Resolution Framework of Remote-Sensing Satellite Images Classification Based on Information Fusion of Novel Deep Convolutional Neural Network Architectures," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 17, pp. 14421-14436, 2024, doi: 10.1109/JSTARS.2024.3427392.
  155. H. Babbar, S. Rani, M. Shabaz, R. Damaševičius, M. A. Khan, "Enhancing efficiency for autonomous traffic accident detection and prevention in the internet of vehicular things and use case of intelligent control systems," International Journal of Web and Grid Services, vol. 20, no. 4, pp. 460-481, 2024, doi: 10.1504/IJWGS.2024.143174.
  156. A. Aldrees, S. Ojo, J. Wanliss, M. Umer, M. A. Khan, B. Alabdullah, S. Alsubai, N. Innab, "Data-centric automated approach to predict autism spectrum disorder based on selective features and explainable artificial intelligence," Frontiers in Computational Neuroscience, vol. 18, 2024, doi: 10.3389/fncom.2024.1489463.
  157. T. Akram, A. Alsuhaibani, M. A. Khan, S. U. Khan, S. R. Naqvi, M. Bilal, "Dermo-Optimizer: Skin Lesion Classification Using Information-Theoretic Deep Feature Fusion and Entropy-Controlled Binary Bat Optimization," International Journal of Imaging Systems and Technology, vol. 34, no. 5, 2024, doi: 10.1002/ima.23172.
  158. B. Ahmed, T. Akram, S. R. Naqvi, A. Alsuhaibani, M. Attique Khan, N. Kraiem, "XcelNet14: A Novel Deep Learning Framework for Aerial Scene Classification," IEEE Access, vol. 12, pp. 196266-196281, 2024, doi: 10.1109/ACCESS.2024.3519341.
  159. M. S. Ullah, M. A. Khan, H. M. Albarakati, R. Damaševičius, S. Alsenan, "Multimodal brain tumor segmentation and classification from MRI scans based on optimized DeepLabV3+ and interpreted networks information fusion empowered with explainable AI," Computers in Biology and Medicine, vol. 182, 2024, doi: 10.1016/j.compbiomed.2024.109183.
  160. S. A. F. Naqvi, M. A. Khan, A. Hamza, S. Alsenan, M. Alharbi, S. Teng, Y. Nam, "Fruit and vegetable leaf disease recognition based on a novel custom convolutional neural network and shallow classifier," Frontiers in Plant Science, vol. 15, 2024, doi: 10.3389/fpls.2024.1469685.
  161. K. Jabeen, M. A. Khan, R. Damaševičius, S. Alsenan, J. Baili, Y. D. Zhang, A. Verma, "An intelligent healthcare framework for breast cancer diagnosis based on the information fusion of novel deep learning architectures and improved optimization algorithm," Engineering Applications of Artificial Intelligence, vol. 137, 2024, doi: 10.1016/j.engappai.2024.109152.
  162. F. Rauf, M. A. Khan, G. B. Brahim, W. Abrar, A. Alasiry, M. Marzougui, S. Jeon, Y. Nam, "DenseIncepS115: a novel network-level fusion framework for Alzheimer's disease prediction using MRI images," Frontiers in Oncology, vol. 14, 2024, doi: 10.3389/fonc.2024.1501742.
  163. Z. F. Khan, M. Ramzan, M. Raza, M. A. Khan, A. Alasiry, M. Marzougui, J. Shin, "Real-Time Polyp Detection from Endoscopic Images Using YOLOv8 with YOLO-Score Metrics for Enhanced Suitability Assessment," IEEE Access, vol. 12, pp. 176346-176362, 2024, doi: 10.1109/ACCESS.2024.3505619.
  164. F. Rauf, M. Attique Khan, H. M. Albarakati, K. Jabeen, S. Alsenan, A. Hamza, S. Teng, Y. Nam, "Artificial intelligence assisted common maternal fetal planes prediction from ultrasound images based on information fusion of customized convolutional neural networks," Frontiers in Medicine, vol. 11, 2024, doi: 10.3389/fmed.2024.1486995.
  165. V. Ravi , M. Alazab, S. Selvaganapathy, R. Chaganti, A Multi-View attention-based deep learning framework for malware detection in smart healthcare systems, Computer Communications, 195 (2022) 73-81.
  166. V. Ravi , T.D. Pham, Unsupervised deep learning-based feature fusion approach for detection and analysis of COVID-19 using X-ray and CT images, The Open Bioinformatics Journal, 15 (2022).
  167. V. Ravi , R. Chaganti, M. Alazab, Recurrent deep learning-based feature fusion ensemble meta-classifier approach for intelligent network intrusion detection system, Computers and Electrical Engineering, 102 (2022) 108156.
  168. V. Ravi , T.D. Pham, M. Alazab, Attention-based multidimensional deep learning approach for cross-architecture IoMT malware detection and classification in healthcare cyber-physical systems, IEEE Transactions on Computational Social Systems, (2022),  DOI: 10.1109/TCSS.2022.3198123.
  169. V. Ravi , V. Acharya, M. Alazab, A multichannel EfficientNet deep learning-based stacking ensemble approach for lung disease detection using chest X-ray images, Cluster Computing, (2022) 1-23.
  170. V. Ravi , R. Chaganti, M. Alazab, Deep learning feature fusion approach for an intrusion detection system in SDN-based IoT networks, IEEE Internet of Things Magazine, 5 (2022) 24-29.
  171. V. Ravi , Attention cost-sensitive deep learning-based approach for skin cancer detection and classification, Cancers, 14 (2022) 5872.
  172. J.A. Prakash , V. Ravi, V. Sowmya, K.P. Soman, Stacked ensemble learning based on deep convolutional neural networks for pediatric pneumonia diagnosis using chest X-ray images, Neural Computing and Applications, (2022) 1-21.
  173. H.K. Bhuyan , V. Ravi, M.S. Yadav, Multi-objective optimization-based privacy in data mining, Cluster Computing, 25 (2022) 4275-4287.
  174. R. Chaganti , R. Boppana, V. Ravi, K. Munir, M. Almutairi, F. Rustam, L. Ashraf, A comprehensive review of denial of service attacks in blockchain ecosystem and open challenges. IEEE Access, 10 (2022)
  175. R. Chaganti , V. Ravi, T.D. Pham, Image-based malware representation approach with EfficientNet convolutional neural networks for effective malware classification, Journal of Information Security and Applications, 69 (2022) 103306.
  176. R. Chaganti , V. Ravi, T.D. Pham, Deep learning based cross architecture internet of things malware detection and classification, Computers & Security, (2022) 102779.
  177. H.K. Bhuyan , V. Ravi, An integrated framework with deep learning for segmentation and classification of cancer disease. International Journal on Artificial Intelligence Tools. (2022).
  178. V. Ravi, H. Narasimhan, T.D. Pham, A cost-sensitive deep-learning based meta-classifier for pediatric pneumonia classification using chest X-rays, Expert Systems, accepted (DOA: 28 January 2022). DOI: 10.1111/exsy.12966
  179. P. Yadav, N. Menon, V. Ravi, S. Vishvanathan, T.D. Pham, EfficientNet convolutional neural networks-based Android malware detection, Computers & Security, 115 (2022) 102622.
  180. V. Ravi, V. Acharya, T.D. Pham, Attention deep learning based large-scale learning classifier for Cassava leaf disease classification, Expert Systems, 39 (2022) e12862.
  181. M. Ganeshkumar, V. Ravi, V. Sowmya, & C. Chakraborty, Identification of intracranial haemorrhage (ICH) using ResNet with data augmentation using CycleGAN and ICH segmentation using SegAN. Multimedia Tools and Applications, 2022, available online at https://doi.org/10.1007/s11042-021-11478-8
  182. V. Ravi, H. Narasimhan, C. Chakraborty, T.D. Pham, Deep learning-based meta-classifier approach for COVID-19 classification using CT scan and chest X-ray images, Multimedia Systems, 2021, available online at https://doi.org/10.1007/s00530-021-00826-1
  183. A. Arunachalam, V. Ravi, V. Acharya, and T.D. Pham, Toward Data-Model-Agnostic Autonomous Machine-Generated Data Labeling and Annotation Platform: COVID-19 Autoannotation Use Case, IEEE Transactions on Engineering Management, 2021, available online at https://doi.org/10.1109/TEM.2021.3094544
  184. V. Acharya, V. Ravi, T. D. Pham and C. Chakraborty, Peripheral Blood Smear Analysis Using Automated Computer-Aided Diagnosis System to Identify Acute Myeloid Leukemia, IEEE Transactions on Engineering Management, 2021, available online at https://doi.org/10.1109/TEM.2021.3103549
  185. A. Arunachalam, V. Ravi, M. Krichen, R. Alroobaea and S. Rubaiee, Mathematical model validation of search protocols in mp2p networks, Computers, Materials & Continua, 2021, online available at https://doi.org/10.32604/cmc.2021.016692
  186. D.S. Nayagi, G.G. Sivasankari, V. Ravi, K.R. Venugopal, and S. Sennan, REERS: Reliable and energy‐efficient route selection algorithm for heterogeneous Internet of things applications, International Journal of Communication Systems, 2021, online available at https://doi.org/10.1002/dac.4900
  187. H.K. Bhuyan and V. Ravi, Analysis of Subfeature for Classification in Data Mining," IEEE Transactions on Engineering Management, 2021, online available at https://doi.org/10.1109/TEM.2021.3098463
  188. H. K. Bhuyan, C. Chakraborty, S. K. Pani, and V. Ravi, Feature and Subfeature Selection for Classification Using Correlation Coefficient and Fuzzy Model, IEEE Transactions on Engineering Management, 2021, online available at https://doi.org/10.1109/TEM.2021.3065699
  189. S. Chauhan, R. Banerjee, C. Chakraborty, M. Mittal, A. Shiva, and V. Ravi, A self-congruence and impulse buying effect on user’s shopping behaviour over social networking sites: an empirical study, International Journal of Pervasive Computing and Communications, 2021, online available at https://doi.org/10.1108/IJPCC-01-2021-0013
  190. V. Ravi, M. Alazab, S. Srinivasan, A. Arunachalam, and K.P. Soman, Adversarial Defense: DGA-Based Botnets and DNS Homographs Detection Through Integrated Deep Learning, IEEE Transactions on Engineering Management, 2021, online available at https://doi.org/10.1109/TEM.2021.3059664
  191. A. Arunachalam, V. Ravi, M. Krichen, R. Alroobaea, and J.S. Alqurni, Analytical comparison of resource search algorithms in non-dht mobile peer-to-peer networks, Computers, Materials & Continua, 2021, online available at https://doi.org/10.32604/cmc.2021.015371
  192. M. Ramaiah, V. Chandrasekaran, V. Ravi, and N. Kumar, An intrusion detection system using optimized deep neural network architecture, Transactions on Emerging Telecommunications Technologies, 2021, online available at https://doi.org/10.1002/ett.4221
  193. S. Rani, M. Kaur, M. Kumar, V. Ravi, U. Ghosh, and J.R. Mohanty, Detection of shilling attack in recommender system for YouTube video statistics using machine learning techniques, Soft Computing, 2021, online available at https://doi.org/10.1007/s00500-021-05586-8
  194. S. Selvaganapathy, S. Sadasivam, and V. Ravi, A review on android malware: attacks, countermeasures and challenges ahead, Journal of Cyber Security and Mobility, 2021, online available at https://doi.org/10.13052/jcsm2245-1439.1017
  195. V. Sureshkumar, S. Balasubramaniam, V. Ravi, and A. Arunachalam, A hybrid optimization algorithm-based feature selection for thyroid disease classifier with rough type-2 fuzzy support vector machine, Expert Systems, 2021, online available at https://doi.org/10.1111/exsy.12811
  196. P. Yadav, N. Menon, V. Ravi and V. Sowmya, Lung-GANs: Unsupervised Representation Learning for Lung Disease Classification Using Chest CT and X-Ray Images, IEEE Transactions on Engineering Management, 2021, online available at https://doi.org/10.1109/TEM.2021.3103334
  197. M. Sathyamoorthy, S. Kuppusamy, R.K. Dhanaraj, and V. Ravi, Improved K-Means Based Q Learning Algorithm for Optimal Clustering and Node Balancing in WSN, Wireless Personal Communications, 2021, online available at https://doi.org/10.1007/s11277-021-09028-4
  198. A. Prithiviraj, A. Maheswari, D. Balamurugan, V. Ravi, M. Krichen et al., Multi-Criteria Fuzzy-Based Decision Making Algorithm to Optimize the VHO Performance in Hetnets, CMC-Computers, Materials & Continua, 2021, online available at https://doi.org/10.32604/cmc.2022.015299
  199. M. Ganeshkumar, V. Ravi, V. Sowmya, E.A. Gopalakrishnan, and K.P. Soman, "Explainable Deep Learning-Based Approach for Multilabel Classification of Electrocardiogram, IEEE Transactions on Engineering Management, 2021, online available at https://doi.org/10.1109/TEM.2021.3104751

Papers in Refereed Conference Proceedings
  1. T. Houda, M. A. Khan, "TANet: A Lightweight Deep Learning Model for Large-Scale Remote Sensing Image Classification," Smart Innovation, Systems and Technologies, vol. 477 SIST, pp. 42-51, 2026, doi: 10.1007/978-3-032-18849-6_4.
  2. E. Anaam, M. A. Khan, G. B. Brahim, M. Mudawar, "Improving in Diagnoses: Using a Novel AI Algorithm to Balance Between Accuracy and Patient Privacy," 2026 IEEE 15th International Conference on Communication Systems and Network Technologies, CSNT 2026, pp. 1081-1086, 2026, doi: 10.1109/CSNT69054.2026.11502055.
  3. A. Hamza, R. Damaševičius, M. A. Khan, J. Abbas, W. Ibrar, "TriCA-Net: A Tri-Context Adaptive MoE Framework for Brain Metastases Segmentation Using Multimodal MRIs," 2026 IEEE 15th International Conference on Communication Systems and Network Technologies, CSNT 2026, pp. 935-943, 2026, doi: 10.1109/CSNT69054.2026.11502488.
  4. S. Iqbal, I. A. Choudhry, M. A. Khan, A. Ullah, "FedTA++: A Temporal-Aware Framework for Mitigating Spatial-Temporal Catastrophic Forgetting in Federated Continual Learning," DataSciMI 2026 - 2026 International Conference on Data Science, Machine Learning, and Business Intelligence, Proceedings, 2026, doi: 10.1109/DataSciMI67380.2026.11523959.
  5. K. S. Manic, A. Najeeb, R. Biju, S. Uma, M. A. Khan, S. Prabha, "Automatic Classification and Detection of Tooth Caries using Deep-Learning and SHAP," Proceedings of 9th International Conference on Inventive Computation Technologies, ICICT 2026, pp. 1317-1321, 2026, doi: 10.1109/ICICT68280.2026.11510868.
  6. H. Alkatout, M. A. Khan, T. Houda, A. Bashar, G. B. Brahim, "A Novel Deep Convolutional Neural Network Architecture for Neuroscience Disease Recognition," 2026 IEEE 15th International Conference on Communication Systems and Network Technologies, CSNT 2026, pp. 1240-1245, 2026, doi: 10.1109/CSNT69054.2026.11502053.
  7. T. Babu, R. Sanjay, S. S. Kumar, M. A. Khan, S. Prabha, "Detection and Evaluation of Lung Cancer in Histology Slides using Deep Transfer Learning," Proceedings of 9th International Conference on Inventive Computation Technologies, ICICT 2026, pp. 1312-1316, 2026, doi: 10.1109/ICICT68280.2026.11511136.
  8. T. T. Nagendaran, R. K. Sivagurunathan, T. Babu, M. A. Khan, S. Prabha, "Skin Abnormality Detection from Dermoscopy Images with Deep Learning Architecture," Proceedings of 9th International Conference on Inventive Computation Technologies, ICICT 2026, pp. 1322-1326, 2026, doi: 10.1109/ICICT68280.2026.11511092.
  9. M. A. Khan, M. S. Ullah, D. Gupta, G. B. Brahim, A. Hussain, "DepthNetGC: Depth Wise Residual Learning Inspired Deep Architecture for Classification of Gallbladder Cancer," Lecture Notes in Networks and Systems, vol. 1773 LNNS, pp. 71-83, 2026, doi: 10.1007/978-3-032-14197-2_7.
  10. M. A. Khan, M. J. Abbas, J. M. Gorriz, "AHFF-Net: Adaptive Hierarchical Feature Fusion via Fractal Recursive Bottlenecks for Fine-Grained Cancer Cell Classification," 2026 IEEE Conference on Artificial Intelligence, CAI 2026, pp. 889-896, 2026, doi: 10.1109/CAI68641.2026.11536242.
  11. M. F. Kiyani, A. Zafar, H. Ayaz, M. A. Khan, E. Rehman, "AI-Driven Smart City Management Using LSTM Forecasting and XGBoost-Based Anomaly Detection," 2026 IEEE 15th International Conference on Communication Systems and Network Technologies, CSNT 2026, pp. 500-506, 2026, doi: 10.1109/CSNT69054.2026.11502531.
  12. H. Byeon, A. AlGhamdi, I. Keshta, M. Soni, M. Shabaz, M. A. Khan, A. K. Bashir, N. Mohammad, "Distributed Federated Learning-Based AIOT Framework for Secure High Speed Communication Network," Lecture Notes in Networks and Systems, vol. 1773 LNNS, pp. 220-234, 2026, doi: 10.1007/978-3-032-14197-2_19.
  13. S. Rubab, G. E. Mustafa Abro, S. Hafeez, M. Attique Khan, "Multi-Model Predictive Control Using PCA-Based Model Reduction for UAV Attitude Control," 2025 IEEE 15th International Conference on System Engineering and Technology, ICSET 2025, Conference Proceedings, pp. 347-351, 2025, doi: 10.1109/ICSET65917.2025.11284112.
  14. M. A. Khan, S. Rubab, M. A. Khan, "A Novel Residual Self-Attention Deep Architecture for Mpox Classification Using Dermoscopic Images," 2025 IEEE 15th International Conference on System Engineering and Technology, ICSET 2025, Conference Proceedings, pp. 61-66, 2025, doi: 10.1109/ICSET65917.2025.11283773.
  15. S. N. Yousafzai, I. M. Nasir, S. Tehsin, M. A. Khan, J. Ahmad, W. Boulila, "A Fusion Framework of Transformer and CNN for Non-small Cell Lung Cancer Classification," Lecture Notes in Networks and Systems, vol. 1401 LNNS, pp. 162-173, 2025, doi: 10.1007/978-3-031-91235-1_15.
  16. M. S. Ullah, E. Nazeeruddin, M. A. Khan, S. Rubab, "Brain Tumor Classification from MRI Scans using a Custom 4-Residual Deep Learning Architecture and Particle Swarm Optimization," 2024 6th International Symposium on Advanced Electrical and Communication Technologies, ISAECT 2024, 2024, doi: 10.1109/ISAECT64333.2024.10799805.
  17. W. Suliman, V. Ravi, B. Luo, X.F. Sun, T.D. Pham, Convolutional neural networks and support vector machines for five-year survival analysis of metastatic rectal cancer, International Joint Conference on Neural Networks (IJCNN 2022, Padua, Italy) pp. 1-8, 18-23 July 2022, DOI: 10.1109/IJCNN55064.2022.9892935.
  18. H. Theivaprakasham, V. Sowmya, V. Ravi, E.A. Gopalakrishnan, & K.P. Soman, Hybrid features-based ensembled residual convolutional neural network for bird acoustic identification, In Advances in Communication, Devices and Networking, pp. 437-445, 2023.
  19. S. Ganesan, V. Ravi, M. Krichen, V. Sowmya, R. Alroobaea, and K.P. Soman. (2021, January). Robust Malware Detection using Residual Attention Network, IEEE International Conference on Consumer Electronics (ICCE), 10-12 January, Las Vegas, NV, USA, pp. 1-6, 2021. online available at https://doi.org/10.1109/ICCE50685.2021.9427623.
  20. K. Simran, P. Balakrishna, V. Ravi, and K.P. Soman, Deep learning based frameworks for handling imbalance in dga, email, and url data analysis, International Conference on Computational Intelligence, Cyber Security, and Computational Models, 19–21, December, Coimbatore, India, pp. 93-104, 2019. online available at https://doi.org/10.1007/978-981-15-9700-8_8

Book Chapters
  1. F. A. Ahmed, M. S. Ullah, M. A. Khan, G. Ben Brahim, M. Shabaz, "A cognitive learning approach for severity classification of diabetic retinopathy using voting-based selection of deep models," Cognitive and Meta Learning Strategies in Biomedical Research and Healthcare, pp. 311-344, 2026, doi: 10.1016/B978-0-443-40379-8.00013-2.
  2. S. Kumar, G. Tiwari, L. Sagar, M. A. Khan, "Federated Adversarial Transfer Learning: Opportunities and Risks," Adversarial AI and Data Poisoning in Federated Learning, pp. 185-209, 2026, doi: 10.4018/979-8-3373-6224-3.ch008.
  3. S. B. Khan, S. Khullar, M. A. Khan, U. Mamodiya, M. L. Joshi, "Emerging Hybrid Models for Neuromorphic AI and Quantum Computing," Emerging Hybrid Models for Neuromorphic AI and Quantum Computing, pp. 1-444, 2026, doi: 10.4018/979-8-3373-7779-7.
  4. M. A. Khan, L. Ali, S. Hussain, F. Ullah, J. Zywiołek, M. A. Khan, "Edge computing: architecture and security," Edge Intelligence: Advanced Deep Transfer Learning for IoT Security, pp. 57-78, 2026, doi: 10.1016/B978-0-44-338297-0.00009-X.
  5. S. U. Khayam, M. A. Khan, G. B. Brahim, N. Mohammad, S. Rubab, M. Shabaz, "Leveraging computational intelligence and mathematical modeling for sustainable future in agriculture: a unified paradigm for recognizing tomato leaf diseases," Mathematical Methods in the Digital Age, vol. 4, pp. 1-36, 2025, doi: 10.1515/9783111612034-001.
  6. I. Haider, M. A. Khan, G. B. Brahim, N. Mohammad, S. Rubab, M. W. Bhatt, "Toward a sustainable future: a computational intelligence fusion framework of color and darknet features for the classification of crop leaf diseases," Mathematical Methods in the Digital Age, vol. 4, pp. 109-138, 2025, doi: 10.1515/9783111612034-006.
  7. V. Ravi, H. Narasimhan, and T.D. Pham, EfficientNet-Based Convolutional Neural Networks for Tuberculosis Classification, In: Advances in Artificial Intelligence, Computation, and Data Science for Medicine and Life Science, Springer, 2021. DOI: 10.1007/978-3-030-69951-2
  8. D.B. Vishwas, M. Gowtham, A.V. Ajay, K. Raghavendra, V. Ravi, and S. Goundar, Blockchain-Based Secure Method for Tiger Detection Using Machine Learning, In: Convergence of Internet of Things and Blockchain Technologies, Springer, 2021, online available at https://doi.org/10.1007/978-3-030-76216-2_14
  9. G.B. Janardhana Swamy, D.R. Janardhana, C.P. Vijay, and V. Ravi, Blockchain-Enabled IoT Integrated Autonomous Sewage Management System, In: Convergence of Internet of Things and Blockchain Technologies, Springer, 2021, online available at https://doi.org/10.1007/978-3-030-76216-2_3
  10. S.P. Anandaraj, S. Poornima, R. Vignesh, and V. Ravi, Industrial Automation of IoT in 5G Era, In: Secure Communication for 5G and IoT Networks, Springer, 2021, online available at https://doi.org/10.1007/978-3-030-79766-9_6