Prof. Sultan Daud Khan

National University of Technology, Pakistan

E-mail: [email protected]; [email protected]

Qualifications

2016 Ph.D., Computer Science, University of Milano-Bicocca, Italy

2010 M.Sc., Electronics and Communication Engineering, Hanyang University, South Korea

2005 B.Sc., Computer System Engineering,University of of Engineering and Technolog, Pakistan

Publications (Selected)

1. Rahim, M. A., Mushafiq, M., Khan, S. D., Ullah, R., Khan, S., & Ishaque, M. (2025). Technical analysis-based unsupervised intraday trading djia index stocks: is it profitable in long term?. Applied Intelligence, 55(2), 1-12.
2. Khan, S. D., Basalamah, S., & Lbath, A. (2025). A novel deep learning framework for retinal disease detection leveraging contextual and local features cues from retinal images. Medical & Biological Engineering & Computing, 1-18.
3. Alhawsawi, A. N., Khan, S. D., & Rehman, F. U. (2024). Enhanced yolov8-based model with context enrichment module for crowd counting in complex drone imagery. Remote Sensing, 16(22), 4175.
4. Khan, S. D., Basalamah, S., & Lbath, A. (2024). Multi-module attention-guided deep learning framework for precise gastrointestinal disease identification in endoscopic imagery. Biomedical Signal Processing and Control, 95, 106396.
5. Khan, S. D., Basalamah, S., & Naseer, A. (2024). Classification of plant diseases in images using dense-inception architecture with attention modules. Multimedia Tools and Applications, 1-26.
6. Khan, S. D., & Othman, K. M. (2024). Indoor scene classification through dual-stream deep learning: a framework for improved scene understanding in robotics. Computers, 13(5), 121.
7. Khan, S. D., & Basalamah, S. (2023). Multi-branch deep learning framework for land scene classification in satellite imagery. Remote Sensing, 15(13), 3408.
8. Khan, S. D., & Basalamah, S. (2023). Multi-scale and context-aware framework for flood segmentation in post-disaster high resolution aerial images. Remote Sensing, 15(8), 2208.
9. Khan, S. D., Alarabi, L., & Basalamah, S. (2023). Segmentation of farmlands in aerial images by deep learning framework with feature fusion and context aggregation modules. Multimedia Tools and Applications, 82(27), 42353-42372.
10. Khan, S. D., Alarabi, L., & Basalamah, S. (2023). DSMSA-Net: Deep spatial and multi-scale attention network for road extraction in high spatial resolution satellite images. Arabian Journal for Science and Engineering, 48(2), 1907-1920.
11. Khan, S. D., Alarabi, L., & Basalamah, S. (2023). An encoder–decoder deep learning framework for building footprints extraction from aerial imagery. Arabian Journal for Science and Engineering, 48(2), 1273-1284.
12. Basalamah, S., Khan, S. D., Felemban, E., Naseer, A., & Rehman, F. U. (2023). Deep learning framework for congestion detection at public places via learning from synthetic data. Journal of King Saud University-Computer and Information Sciences, 35(1), 102-114.
13. Munsif, M., Afridi, H., Ullah, M., Khan, S. D., Cheikh, F. A., & Sajjad, M. (2022, September). A lightweight convolution neural network for automatic disasters recognition. In 2022 10th European Workshop on Visual Information Processing (EUVIP) (pp. 1-6). IEEE.
14. Felemban, E., Khan, S. D., Naseer, A., Rehman, F. U., & Basalamah, S. (2022). U.S. Patent Application No. 17/667,277.
15. Naseer, A., Baro, E. N., Khan, S. D., & Vila, Y. (2022). A novel detection refinement technique for accurate identification of Nephrops norvegicus burrows in underwater imagery. Sensors, 22(12), 4441.
16. Farooq, M. U., Saad, M. N. M., & Khan, S. D. (2022). Motion-shape-based deep learning approach for divergence behavior detection in high-density crowd. The Visual Computer, 38(5), 1553-1577.
17. Khan, S. D., Alarabi, L., & Basalamah, S. (2022). A unified deep learning framework of multi-scale detectors for geo-spatial object detection in high-resolution satellite images. Arabian Journal for Science and Engineering, 47(8), 9489-9504.
18. Khan, S. D., & Basalamah, S. (2021). Scale and density invariant head detection deep model for crowd counting in pedestrian crowds. The Visual Computer, 37(8), 2127-2137.
19. Ullah, H., Islam, I. U., Ullah, M., Afaq, M., Khan, S. D., & Iqbal, J. (2021). Multi-feature-based crowd video modeling for visual event detection. Multimedia Systems, 27, 589-597.
20. Khan, S. D., Alarabi, L., & Basalamah, S. (2021). Deep hybrid network for land cover semantic segmentation in high-spatial resolution satellite images. Information, 12(6), 230.

Profile Details

WoS ResearcherID: J-7563-2019

https://orcid.org/0000-0002-7406-8441

https://www.linkedin.com/in/sultan-daud-khan-aa82182b/

https://scholar.google.co.uk/citations?user=x-VPd_QAAAAJ&hl=en

https://www.researchgate.net/profile/Sultan-Khan-12