Dr. Muhammad Attique Khan

Selected Journal Publications 2025

1) Mehla, Rajan, Ritu Garg, and Muhammad Attique Khan. "Privacy-Preserving Solution for Data Sharing in IoTBased Smart Consumer Electronic Devices for Healthcare." IEEE Transactions on Consumer Electronics (2025).

2) Bhatti, Muhammad Kashif, Muhammad Attique Khan, Saima Shaheen, Ameer Hamza, Ali Arishi, Dina Abdulaziz AlHammadi, Shabbab Ali Algamdi, and Yunyoung 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 (2025).

3) Amanlou, Sanaz, Mohammad Kamrul Hasan, Umi Asma Mokhtar, Khalid Mahmood Malik, Shayla Islam, Sheroz Khan, Muhammad Attique Khan, and Muhammad Asghar Khan. "Cybersecurity challenges in smart grid systems: current and emerging attacks, opportunities, and recommendations." IEEE Open Journal of the Communications Society (2025).

4) Khan, Salabat, Mansoor Khan, Muhammad Asghar Khan, Muhammad Attique Khan, Lu Wang, and Kaishun Wu. "A blockchain-enabled AI-driven secure searchable encryption framework for medical IoT systems." IEEE Journal of Biomedical and Health Informatics (2025).

5) Meghanath, Ashtakala, Subham Das, Bikash K. Behera, Muhammad Attique Khan, Saif Al-Kuwari, and Ahmed Farouk. "QDCNN: Quantum Deep Learning for Enhancing Safety and Reliability in Autonomous Transportation Systems." IEEE Transactions on Intelligent Transportation Systems (2025).

6) Aftab, Junaid, Muhammad Attique Khan, Sobia Arshad, Shams ur Rehman, Dina Abdulaziz AlHammadi, and Yunyoung 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 15, no. 1 (2025): 8724.

7) Topazal, S. M., Shayla Islam, Raenu A/L. Kolandaisamy, Mohammad Kamrul Hasan, Ahmad Fadzil Ismail, Nur Hanis Sabrina Suhaimi, Huda Saleh Abbas, Muhammad Attique Khan, and Kamal Ali Alezabi. "Intelligent device to device handover management techniques for 5G/6G and beyond." The Journal of Supercomputing 81, no. 5 (2025): 737.

8) Dillshad, Veena, Muhammad Attique Khan, Muhammad Nazir, Jawad Ahmad, Dina Abdulaziz AlHammadi, Taha Houda, Hee-Chan Cho, and Byoungchol Chang. "A Multi-Layers Information Fused Deep Architecture for Skin Cancer Classification in Smart Healthcare." Computers, Materials & Continua 83, no. 3 (2025).

9) Fatima, Mamuna, Muhammad Attique Khan, Saima Shaheen, Seifedine Kadry, Omar Alqahtani, and M. Alouane. "Attention Embedded Residual Bottleneck CNN Architecture for Breast Cancer Diagnosis in Ultrasound Images." INTERNATIONAL JOURNAL OF INTERACTIVE MULTIMEDIA AND ARTIFICIAL INTELLIGENCE (2025).

10) Khan, Muhammad Attique, Shrooq Alsenan, Shabbab Ali Algamdi, Haya Aldossary, K. Narasimha Raju, Jamel Baili, and Muhammad Asim Saleem. "Integrating data mining with transcranial focused ultrasound to refine neuralgia treatment strategies." Journal of Neuroscience Methods 418 (2025): 110433.

11) Saikia, Rabul, Roopam Deka, Anupam Sarma, Ngangbam Herojit Singh, Muhammad Attique Khan, and Salam Shuleenda Devi. "VNLU-Net: Visual Network with Lightweight Union-net for Acute Myeloid Leukemia Detection on Heterogeneous Dataset." Biomedical Signal Processing and Control 107 (2025): 107840.

12) Gao, Mingliang, Jianhao Sun, Qilei Li, Muhammad Attique Khan, Jianrun Shang, Xianxun Zhu, and Gwanggil Jeon. "Towards trustworthy image super-resolution via symmetrical and recursive artificial neural network." Image and Vision Computing 158 (2025): 105519.

13) Khan, Muhammad Attique, Usama Shafiq, Ameer Hamza, Anwar M. Mirza, Jamel Baili, Dina Abdulaziz AlHammadi, Hee-Chan Cho, and Byoungchol 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 25, no. 1 (2025): 150.

14) Iqbal, Saeed, Xiaopin Zhong, Muhammad Attique Khan, Zongze Wu, Dina Abdulaziz Alhammadi, Weixiang Liu, and Imran Arshad Choudhry. "Continual and wisdom learning for federated learning: A comprehensive framework for robustness and debiasing." Information Processing & Management 62, no. 5 (2025): 104157.

15) Haider, Irfan, Muhammad Attique Khan, Muhammad Nazir, Saleha Masood, Naoufel Kraiem, and Dina Abdulaziz AIHammadi. "An Automated Framework of Superpixels-Saliency Map and Gated Recurrent Unit Deep Convolutional Neural Network for Land Cover and Crops Disease Classification." IEEE Access (2025).

16) Ahmad, Tariq, Zhenjun Zhang, Jinsong Wu, Yawar Abbas Abid, Dina Abdulaziz AlHammadi, and Muhammad Attique Khan. "An Effective Approach of Heart Failure Prediction based on Features Optimization and Multi-tier Long Short-Term Memory." IEEE Transactions on Consumer Electronics (2025).

Selected Journal Publications 2024

1) Albarakati, Hussain Mubarak, Shams ur Rehman, Muhammad Attique Khan, Ameer Hamza, Junaid Aftab, Areej Alasiry, Mehrez Marzougui, Michele Nappi, and Yunyong 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 (2024).

2) Saeed, Tallha, Muhammad Attique Khan, Ameer Hamza, Mohammad Shabaz, Wazir Zada Khan, Fatimah Alhayan, Leila Jamel, and Jamel 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 410 (2024): 110247.

3) Khan, Muhammad Abrar Ahmad, Muhammad Attique Khan, Ateeq Ur Rehman, Ahmed Ibrahim Alzahrani, Nasser Alalwan, Deepak Gupta, Saima Ahmed Rahin, and Yudong 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 (2024).

4) Jabeen, Kiran, Muhammad Attique Khan, Robertas Damaševičius, Shrooq Alsenan, Jamel Baili, Yu-Dong Zhang, and Amit 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 137 (2024): 109152.

5) Akram, Tallha, Anas Alsuhaibani, Muhammad Attique Khan, Sajid Ullah Khan, Syed Rameez Naqvi, and Mohsin 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 34, no. 5 (2024): e23172.

6) Kanwal, Ayesha, Kashif Javed, Sara Ali, Muhammad Attique Khan, Shrooq Alsenan, Areej Alasiry, Mehrez Marzougui, and Saddaf Rubab. "ALATT-network: automated LSTM-based framework for classification and monitoring of autism spectrum disorder therapy tasks." Signal, Image and Video Processing 18, no. 12 (2024): 9205-9221.

7) Naqvi, Syeda Aimal Fatima, Muhammad Attique Khan, Ameer Hamza, Shrooq Alsenan, Meshal Alharbi, Sokea Teng, and Yunyoung Nam. "Fruit and vegetable leaf disease recognition based on a novel custom convolutional neural network and shallow classifier." Frontiers in Plant Science 15 (2024): 1469685.

8) Xuanzhi, Liao, Abeer Hakeem, Linda Mohaisen, Muhammad Umer, Muhammad Attique Khan, Shrooq Alsenan, Shtwai Alsubai, and Nisreen Innab. "BrainNet: an automated approach for brain stress prediction utilizing electrodermal activity signal with XLNet model." Frontiers in Computational Neuroscience 18 (2024): 1482994.

9) Ullah, Muhammad Sami, Muhammad Attique Khan, Hussain Mobarak Albarakati, Robertas Damaševičius, and Shrooq 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 182 (2024): 109183.

10) Aldrees, Asma, Stephen Ojo, James Wanliss, Muhammad Umer, Muhammad Attique Khan, Bayan Alabdullah, Shtwai Alsubai, and Nisreen Innab. "Data-centric automated approach to predict autism spectrum disorder based on selective features and explainable artificial intelligence." Frontiers in Computational Neuroscience 18 (2024): 1489463.

11) Rauf, Fatima, Muhammad Attique Khan, Muhammad Kashif Bhatti, Ameer Hamza, Aliya Aleryani, M. Turki-Hadj Alouane, Dina Abdulaziz AlHammadi, and Yunyoung 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 (2024).

12) Rauf, Fatima, Muhammad Attique Khan, Hussain M. Albarakati, Kiran Jabeen, Shrooq Alsenan, Ameer Hamza, Sokea Teng, and Yunyoung Nam. "Artificial intelligence assisted common maternal fetal planes prediction from ultrasound images based on information fusion of customized convolutional neural networks." Frontiers in Medicine 11 (2024): 1486995.

13) Fatima, Mamuna, Muhammad Attique Khan, Saima Shaheen, Hussain Mobarak Albarakati, Shuihua Wang, Syeda Fizzah Jilani, and Mohammad Shabaz. "Breast lesion segmentation and classification using U-Net saliency estimation and explainable residual convolutional neural network." Fractals 10 (2024): S0218348X24400607.

14) Zhou, Lin, Zhengzhi Zhu, Hongbo Gao, Chunyu Wang, Muhammad Attique Khan, Mati Ullah, and Siffat Ullah Khan. "Multi‐omics graph convolutional networks for digestive system tumour classification and early‐late stage diagnosis." CAAI Transactions on Intelligence Technology 9, no. 6 (2024): 1572-1586.

15) Khan, Junaid Ali, Muhammad Attique Khan, Mohammed Al-Khalidi, Dina Abdulaziz AlHammadi, Areej Alasiry, Mehrez Marzougui, Yudong Zhang, and Faheem 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 (2024).

16) Khan, Zahid Farooq, Muhammad Ramzan, Mudassar Raza, Muhammad Attique Khan, Areej Alasiry, Mehrez Marzougui, and Jungpil Shin. "Real-Time Polyp Detection from Endoscopic Images using YOLOv8 with YOLO-Score Metrics for Enhanced Suitability Assessment." IEEE Access (2024).

17) Masood, Saleha, Mousa Ahmad Al Bashrawi, Muhammad Attique Khan, and Anam Nazir. "Exploring ChatGPT applications in healthcare: a comprehensive overview." The Visual Computer (2024): 1-22.

18) Rauf, Fatima, Muhammad Attique Khan, Ghassen Ben Brahim, Wardah Abrar, Areej Alasiry, Mehrez Marzougui, Seob Jeon, and Yunyoung Nam. "DenseIncepS115: a novel network-level fusion framework for Alzheimer's disease prediction using MRI images." Frontiers in Oncology 14 (2024): 1501742.

19) Babbar, Himanshi, Shalli Rani, Mohammad Shabaz, Robertas Damaševičius, and Muhammad Attique 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 20, no. 4 (2024): 460-481.

20) Nabi, Mattia Tun, Sara Ali, Zahid Mahmood, Muhammad Attique Khan, and Shrooq Alsenan. "A self-supervised deep-driven model for automatic weather classification from remote sensing images." International Journal of Remote Sensing (2024): 1-26.

21) Mohammed, Yasir I., Rosilah Hassan, Mohammad Kamrul Hasan, Huda Saleh Abbas, Muhammad Attique Khan, Jamel Baili, and Deepak Gupta. "Optimizing UAV-assisted IoT sensor networks: A multi-objective approach to data collection and routing." Alexandria Engineering Journal 115 (2025): 47-56.

22) Khan, Saman, Sara Ali, Khawaja Fahad Iqbal, Yasar Ayaz, Jemas H. Brusay, Muhammad Attique Khan, and Jamel Baili. "Active interception of moving ball: a multi-player strategy for humanoid soccer robots." Multimedia Tools and Applications (2024): 1-17.

23) Ahmed, Bilal, Tallha Akram, Syed Rameez Naqvi, Anas Alsuhaibani, Muhammad Attique Khan, and Naoufel Kraiem. "XcelNet14: A Novel Deep Learning Framework for Aerial Scene Classification." IEEE Access (2024).