Faculty Img
  • Phone:

  • Email:

    mkhan3@pmu.edu.sa

  • Office No:

    G035

  • Dr. Muhammad Attique Khan

  • Job Title :

    Assistant Research Professor

  • College :

    College of Computer Engineering and Science


  • Department :

    Computer Science


Muhammad Attique Khan (Member IEEE) received the master's and Ph.D. degrees in human activity recognition for application of video surveillance and skin lesion classification using deep learning from COMSATS University Islamabad, Islamabad, Pakistan, in 2018 and 2022, respectively. He is currently an Assistant Professor with AI Department, Prince Mohammad Bin Fahd, Al-Khobar, Saudi Arabia. His primary research focus in recent years is medical imaging, COVID-19, MRI analysis, video surveillance, human gait recognition, and agriculture plants using deep learning. He has above 350 publications that have more than 18 000+ citations and an impact factor of 1250+ with h-index 76 and i-index 250. He is the Reviewer of several reputed journals, such as the IEEE Transaction on Industrial Informatics, IEEE Transaction of Neural Networks, Pattern Recognition Letters, Multimedia Tools and Application, Computers and Electronics in Agriculture, IET Image Processing, Biomedical Signal Processing Control, IET Computer Vision, EURASIP Journal of Image and Video Processing, IEEE Access, MDPI Sensors, MDPI Electronics, MDPI Applied Sciences, MDPI Diagnostics, and MDPI Cancers.

PhD (Computer Science), 2022

Master (Computer Science), 2018

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.

Center of AI, Prince Mohammad bin Fahd University

- Advisor in Senior Design Project at PMU

- Preparing Datasets with AI Students for CAI

- Working with faculty of CCES in their research

- TPC member in International conferences

Assistant Research Professor (11th August, 2024-  Current) 

Assistant Professor (September 2022 - July 2024), HITEC University Pakistan

Adjunct Professor (July 2023- July 2024), Lebanese American University

Research Fellow Professor (Feb, 2023- feb, 2024), King Saud University

Lecturer (September 2018 to August 2022)

- Deep Learning

- Computer Vision

- Data Structures

- Programming Fundamentals

- Pattern Recognition

- Machine Learning

- Optimization Techniques

Artificial IntelligenceXAIDeep LearningMedical Imaging Federated Learning Remote Sensing in Agriculture, and IoT

https://scholar.google.com.pk/citations?hl=en&user=4_i4ni4AAAAJ&view_op=list_works&sortby=pubdate

- Member IEEE

- Member ACM

- Associate Editor in IEEE Transactions on Consumer Electronics

- GE SLAS technology

- GE IEEE Transactions on Consumer Electronics

- GE Measurement, Elsevier