Publication Highlights

Selected Peer-Reviewed Journal Papers

2025

1. Muhammad Shahid Jabbar, Taha Hasan Masood Siddique, Kejie Huang, and Shujaat Khan*. "Knowledge Distillation with Predicted Depth for Robust and Lightweight Face Presentation Attack Detection" Knowledge-Based Systems, Volume 329, Part A, 4 November 2025, 114325 [online]
2. Taha Hasan Masood Siddique, Shujaat Khan, Zeyu Wang and Kejie Huang. "AdvSpoofGuard: Optimal Transport Driven Robust Face Presentation Attack Detection System" Knowledge-Based Systems, Volume 326, 27 September 2025, 113759 [online]
3. Muhammad Sohail Ibrahim, Saheed Ademola Bello; Yunsang Kwak; Minseok Kim, Shujaat Khan*. "Generating Anticancer Peptides Sequences Using Seq2Seq Modeling and Machine Learning Methods" IEEE Access, Volume 13, May 2025, pp. 88638-88647, 2025, doi: 10.1109/ACCESS.2025.3569255 [online]
4. Syed Saad Azhar Ali, Khuhed Memon, Norashikin Yahya, Shujaat Khan. "Deep Learning Frameworks for MRI based Diagnosis of Neurological Disorders: A Systematic Review and Meta Analysis" Artificial Intelligence Review, 58, 171 (2025). https://doi.org/10.1007/s10462-025-11146-5 [online]
5. Waleed Waseer, M.J. Mughal, Muhammad Baqir, Muhammad Saqlain, Shujaat Khan*. "Predictive Modeling of MXene-Based Solar Absorbers Using Deep Neural Network" Journal of the Optical Society of America B, Vol. 42, Issue 4, pp. 763-772 (2025) [online] This article is highlighted as an Editor's Pick 
6. Shakeel Muhammad Ibrahim, Muhammad Sohail Ibrahim, Shujaat Khan, Young-Woong Ko, Jeong-Gun Lee. "Improving Face Presentation Attack Detection Through Deformable Convolution and Transfer Learning" IEEE Access, , Volume 13, pp. 31228-31238, 2025, doi: 10.1109/ACCESS.2025.3541546 [online]
7. Shujaat Khan*, Taha Hasan Masood Siddique, Muhammad Sohail Ibrahim, Abdul Jabbar Siddiqui, Kejie Huang. "Spatio-Temporal Deep Learning for Improved Face Presentation Attack Detection" Knowledge-Based Systems, Volume 311, February 2025, 113059 [online]
8. Nazer Al Tahifah, Muhammad Sohail Ibrahim, Erum Rehman, Naveed Ahmed, Abdul Wahab, Shujaat Khan*. "Anticancer Peptides Classification Using Long-Short-Term Memory with Novel Feature Representation " IEEE Access, Volume 13, January 2025, DOI: 10.1109/ACCESS.2024.3523068  [online]

2024

9. Shujaat Khan. "Deep-Representation-Learning-Based Classification Strategy for Anticancer Peptides" Mathematics, Volume 12(9), April 2024, 1330 [online]

2023

10. Yukun Guo, Shujaat Khan, Abdul Wahab, Xianchao Wang. "Multipolar Acoustic Source Reconstruction From Sparse Far-Field Data Using ALOHA" IEEE Signal Processing Letters, Volume 30, November 2023, 1627-1631 [online]
11. Seongyong Park, Abdul Wahab, Muhammad Usman, Imran Naseem, Shujaat Khan*. “Highlights in Artificial Intelligence in Bioimaging and Signal Processing in 2023" Frontiers in Physiology, Volume 14, Jul 2023, 1267632, [online]
12. Seongyong Park, Abdul Wahab, Minseok Kim, Shujaat Khan*. “Self-Supervised Learning for Inter-laboratory Variation Minimization in Surface Enhanced Raman Scattering Spectroscopy” Analyst, 148, 1473-1482, Feb, 2023.[online]  This article is part of the themed collection: Analyst HOT Articles 2023
13. Seongyong Park, Mohammad Sohail Ibrahim, Abdul Wahab, Shujaat Khan*. “GMDM: A generalized multi-dimensional distribution overlap metric for data and model quality evaluation” Digital Signal Processing, April, 2023.[online]
14. Jaeyoung Huh, Shujaat Khan, Sungjin Choi, Dongkuk Shin, Eun Sun Lee, and Jong Chul Ye. “Tunable Image Quality Control of 3-D Ultrasound using Switchable CycleGAN.” Medical Image Analysis, January, 2023. [online]

2022

15. Muhammad Moinuddin, Shujaat Khan*, Abdulrahman Ubaid Alsaggaf, Mohammed Jamal Abdulaal, Ubaid M. Al‑Saggaf, Jong Chul Ye. “Medical Ultrasound Image Speckle Reduction and Resolution Enhancement Using Texture Compensated Multi-Resolution Convolution Neural Network” Frontiers in Physiology, November, 2022.[online]
16. Abdul Wahab, Shujaat Khan, Imran Naseem, and Jong Chul Ye. “Performance Analysis of Fractional Learning Algorithms” IEEE Transactions on Signal Processing, October, 2022.[online]
17. Syed Muhammad Atif, Shujaat Khan+, Imran Naseem, Roberto Togneri, Mohammed Bennamoun. “Multi‑Kernel Fusion for RBF Neural Networks.” Neural Processing letters, June. 2022. [online]
18. Alishba Sadiq, Imran Naseem, Shujaat Khan, Muhammad Moinuddin, Roberto Togneri, and Mohammed Bennamoun. “A Novel Quantum Calculus‑based Complex Least Mean Square Algorithm (q‑CLMS).” Applied Intelligence, April, 2022.[online]
19. Shujaat Khan, Jaeyoung Huh, and Jong Chul Ye. “Switchable and Tunable Deep Beamformer using Adaptive Instance Normalization for Medical Ultrasound.” IEEE Transactions on Medical Imaging, 41, no. 2 (2022): 266-278., [online] [SlideShare]
20. Seongyong Park, Jaeseok Lee, Shujaat Khan, Abdul Wahab, Minseok Kim. “Machine Learning-Based Heavy Metal Ion Detection Using Surface-Enhanced Raman Spectroscopy.” Sensors, January. 2022, [online]

2021

21. Seongyong Park, Jaeseok Lee, Shujaat Khan, Abdul Wahab, Minseok Kim. “SERSNet: Surface-Enhanced Raman Spectroscopy Based Biomolecule Detection Using Deep Neural Network.” Biosensors, November. 2021, [online]
22. Muhammad Usman, Shujaat Khan, Seongyong Park, Jeong‑A Lee. “AoP‑LSE: Antioxidant Proteins Classification Using Deep Latent Space Encoding of Sequence Features.” Current Issues in Molecular Biology: (Bioinformatics and Systems Biology section), September. 2021, [online]
23. Muhammad Usman, Shujaat Khan*+, Seongyong Park, Abdul Wahab. “AFP‑SRC: Identification of Antifreeze Proteins Using Sparse Representation Classifier.” Neural Computing and Applications, September. 2021, [online]
24. Ubaid M. Al‑Saggaf, Muhammad Usman, Imran Naseem, Muhammad Moinuddin, Ahmad A. Jiman, Mohammed U. Alsaggaf, Hitham K. Alshoubaki and Shujaat Khan*. “ECM‑LSE: Prediction of Extracellular Matrix Proteins using Deep Latent Space Encoding of k‑Spaced Amino Acid Pairs.” Frontiers in Bioengineering and Biotechnology, September. 2021, [online]
25. Abdul Wahab, Shujaat Khan, and Farrukh Zeeshan Khan. ‘Comments on “Design of momentum fractional LMS for Hammerstein nonlinear system identification with application to electrically stimulated muscle model”.’ European Physical Journal Plus, (2021) 136:1004, [online]
26. Shujaat Khan, Jaeyoung Huh, and Jong Chul Ye. “Variational Formulation of Unsupervised Deep Learning for Ultrasound Image Artifact Removal.” IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, vol. 68, no. 6, pp. 2086‑2100, June. 2021, [online] [SlideShare]

2020

27. Shujaat Khan, Abdul Wahab, Imran Naseem and Muhammad Moinuddin . ‘Comments on “Design of fractional‑order variants of complex LMS and NLMS algorithms for adaptive channel equalization”.’ Nonlinear Dynamics, vol. 101, no. 2, pp. 1053–1060, August. 2020, [online]
28. Shujaat Khan, Jaeyoung Huh, and Jong Chul Ye. “Adaptive and Compressive Beamforming Using Deep Learning for Medical Ultrasound.” IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, vol. 67, no. 8, pp. 1558‑1572, Aug. 2020, [online] [SlideShare]
29. Muhammad Usman, Shujaat Khan, and Jeong‑A Lee. “AFP‑LSE: Antifreeze Proteins Prediction Using Latent Space Encoding of Composition of k‑Spaced Amino Acid Pairs.” Scientific Reports 10, 7197 (2020). [online]
30. Abdul Wahab, and Shujaat Khan. ‘Comments and Corrections Comments on “Fractional Extreme Value Adaptive Training Method: Fractional Steepest Descent Approach”.’ IEEE Transactions on Neural Networks and Learning Systems, vol. 31, no. 3, pp. 1066‑1068, March 2020, [online]

2019

31. Alishba Sadiq, Shujaat Khan, Imran Naseem, Roberto Togneri, and Mohammed Bennamoun. “Enhanced q‑least Mean Square.” Circuits, Systems, and Signal Processing 38, no.10 (2019): 4817‑4839. [online]
32. Yeo Hun Yoon, Shujaat Khan, Jaeyoung Huh, and Jong Chul Ye. “Efficient b‑mode ultrasound image reconstruction from sub‑sampled rf data using deep learning.” IEEE Transactions on Medical Imaging 38, no. 2 (2019): 325‑336. [online]

2018

33. Shujaat Khan, Imran Naseem, Muhammad Ammar Malik, Roberto Togneri, and Mohammed Bennamoun. “A fractional gradient descent‑based rbf neural network.” Circuits, Systems, and Signal Processing 37, no. 12 (2018): 5311‑5332. [online]
34. Tasawar Abbas, Shujaat Khan, Muhammad Sajid, Abdul Wahab, Jong Chul Ye, “Topological sensitivity based far‑field detection of elastic inclusions.” Results in Physics, Volume 8, March 2018, Pages 442‑460, ISSN 2211‑3797. [online]
35. Shujaat Khan, Jawwad Ahmad, Imran Naseem, and Muhammad Moinuddin. “A Novel Fractional Gradient‑Based Learning Algorithm for Recurrent Neural Networks.” Circuits, Systems, and Signal Processing 37, no. 2 (2018): 593‑612. [online]
36. Shujaat Khan, Imran Naseem, Roberto Togneri, and Mohammed Bennamoun, “RAFP‑Pred: Robust Prediction of Antifreeze Proteins Using Localized Analysis of n‑Peptide Compositions” IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 15, no. 1, pp. 244‑250, Jan.‑Feb. 1 2018. [online]

2017

37. Shujaat Khan, Imran Naseem, Roberto Togneri, and Mohammed Bennamoun. “A Novel Adaptive Kernel for the RBF Neural Networks.” Circuits, Systems, and Signal Processing, 36, no. 4 (2017): 1639‑1653. [online]
38. Imran Naseem, Shujaat Khan, Roberto Togneri, and Mohammed Bennamoun. “ECMSRC: A Sparse Learning Approach for the Prediction of Extracellular Matrix Proteins.” Current Bioinformatics 12 (2017): 361‑368 [online]