Muhammad Ahmad

Assistant Professor
  • Department of Computer Science
  • (041) 111-128-128
  • Ext: 159


Muhammad Ahmad is currently working as an Assistant Professor at the National University of Computer & Emerging Sciences (FAST-NUCES). Prior to that, he was been affiliated with Khwaja Fareed University of Engineering and Information Technology, as an Assistant Professor. He has also served as Lecturer/Instructor, Research Fellow, Research Associate, and Research Assistant for a number of universities including, IU Russia, MU Italy, SZU China, KHU South Korea, CBN South Korea. He has also worked with Ericsson (Mobilink Project) as Radio Access Network (RAN) Supervisor. He received his Ph.D. in Computer Science and Engineering from Innopolis University, Innopolis, Russia. MS from International Islamic University, and BS from GC University, Pakistan.

He is the author of over 50 peer-reviewed articles. He is supervised/supervising/co-supervising several graduates (MS and Ph.D.). His research interest includes Hyperspectral Imaging, Remote Sensing, Machine Learning, Computer Vision, Wearable Computing (Smartphone and Smartwatch based physical activity recognition, user identification, and authentication).

He served/serving as a guest editor on several special issues in journals (SCI/E, JCR) of MDPI, SAGE, CMC, and IEEE. He has delivered a number of invited and keynote talks, and reviewed (reviewing) the technology leading articles for journals such as Springer Nature, IEEE Transactions on Industrial Electronics (TIE), IEEE Transactions on Neural Network and Learning Systems (TNNLS), IEEE Transactions on Geoscience and Remote Sensing (TGRS), IEEE Transactions on Image Processing (TIP), IEEE Geoscience and Remote Sensing Letters, IEEE Geoscience and Remote Sensing Magazine, IEEE Journal of Selected Topics in Applied Earth Observation and Remote Sensing, IEEE Transactions on Mobile Computing, IEEE Transactions on Multimedia, IEEE Computers Magazine, IEEE Access, IEEE Sensors, MDPI Journals, SAGE Journals, Neural Computing, and Applications (NCAA), Measurement Science and Technology, IET Journals, Optik, Transactions on Internet and Information Systems.

Honors & Awards:

  • Employee of the Year, KFUEIT, Pakistan, (2019-2020)
  • Best Employee of the Year, Innopolis University, Russia, (2017-2018)
  • Certified for Teaching Instructional Skills (ISW), IU, Russia, (2017), ISW Ontario, Canada.
  • Research Funding, Innopolis University, Russia, (2015-2019)


Scientific Activities:

Academic Editor: Plos One; Advances in Materials Science and Engineering; Computational Intelligence and Neuroscience.

Special Issues: Deep Models 2022 (Annual Issue), Complexity, (JCR IF. 2.833); Deep Networks, Computational Intelligence and Neuroscience, (JCR IF. 3.633); Intelligent Caching for Communication, (JCR IF. 1.791); Interactive Deep Learning for Hyperspectral Images, Remote Sensing (JCR IF. 4.848) Closed; AI for Wearable Sensing, Computers, Materials & Continua, (JCR IF 4.89) Closed; Security and Privacy Issues, Computers, Materials & Continua, (JCR IF 4.89) Closed; Deep Models for HSI,
International Journal of Distributed Sensor Networks, (JCR IF. 1.614) Closed; Complexity and Robustness Trade-Off for Traditional and Deep Models, Complexity, (JCR IF. 2.833); AI for Smart Devices Security and Communication Networks, (JCR IF. 1.791) Closed.




  • Doctor of Philosophy-Cum Laude (Hyperspectral Imaging)
  • Messina University, Messina, Italy
  • Doctor of Philosophy (Hyperspectral Imaging)
  • Innopolis University, Innopolis, Russia.
  • Masters of Science (Hyperspectral Imaging)
  • International Islamic University, Islamabad, Pakistan
  • Bachelor of Science
  • (Metric Spaces / Mathematical Reasoning for Machine Learning Models), GC
    University, Pakistan


Selected Journal Publications (2017-2022)

1. Swalpa Kumar Roy, Ankur Deria, Danfeng Hong, Muhammad Ahmad, Antonio Plaz.a, and Jocelyn Chanussot, “Hyperspectral and LiDAR Data Classification Using Joint CNNs and Morphological Feature Learninq” IEEE, USA, (IF. 5.6), 2022

2. M. Ahmad,, “Hybrid Dense Network with Attention Mechanism for Hyperspectral Image Classification”, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, (IF. 3.784), 2022.

3. M. Ahmad,, “Hyperspectral Image Classification – Traditional to Deep Models: A Survey for Future Prospects”, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 15, pp. 968-999, (IF. 3.784), 2022.

4. M.H.F. Butt,, “A self-healing approach for hybrid recommendation systems in large scale e-commerce”, Human Centric Computing and Information Sciences (IF 5.900), Accepted, 2022.

5. Hussain,, “The Rise of Cloud Computing: Data Protection, Privacy, and Open Research Challenges A Systematic Literature Review (SLR)”, Computational Intelligence and Neuroscience, (IF 3.633), (Accepted), 2022.

6. A.khan, S. Hayat, M. Ahmad,, “Cross- modal Retrieval Based on Deep Regularize Hashing Constraints”, International Journal of Intelligent Systems, (IF. 8.709), 2022.

7. H. Hassan, P. Mishra, M. Ahmad,, “Effects of Haze and Dehazing on Deep Learning-based Vision Models”, Applied Intelligence, (IF. 5.086), 2022.

8. A.Oluwasanmi,, “Attention Autoencoder for Generative Latent Representational Learning in Anomaly Detection”, Sensors, vol. 22(1), pp. 123, (IF. 3.576), 2022.

9. M. Ahmad,, “A Fast and Compact 3-D CNN for Hyperspectral Image Classification”, IEEE Geoscience and Remote Sensing Letters, (IF. 3.966), pp. 1-5, 2021.

10. M. Ahmad,, “Regularized CNN Feature Hierarchy for Hyperspectral Image Classification”, Remote Sensing, vol. 13(12), pp. 2275, (IF. 4.848), 2021.

11. S. Latif,, “Intrusion Detection Framework for the Internet of Things using a Dense Random Neural Network”, IEEE Transactions on Industrial Informatics, (Early Access) (IF. 10.215), 2021.

12. Y. Rehman,, “Detection of Small Size Traffic Signs using Regressive Anchor Box Selection and DBL Layer Tweaking in YOLOv3”, Applied Sciences, vol. 11(23), pp. 11555, (IF. 2.679), 2021.

13. M. Ahmad,, “Artifacts of Different Dimension Reduction Methods on Hybrid CNN Feature Hierarchy for Hyperspectral Image Classification”, Optik, vol. 246, (IF. 2.443), 2021.

14. H. Ayaz, E. R-Esparza, M. Ahmad,, “Classification of Apple Disease Based on Non-Linear Deep Features”, Applied Sciences, vol. 11(14), pp. 6422, (IF. 2.679), 2021.

15. M. H. Khan, Z. Saleem, M. Ahmad,, “Hyperspectral imaging-based unsupervised adulterated red chili content transformation for classification: Identification of red chili adulterants”, Neural Computing and Applications (NCAA), (IF. 5.606), 2021.

16. M. Zulfiqar, M. Ahmad,, “Hyperspectral Imaging for Bloodstain Identification”, Sensors, (IF. 3.576), vol. 21(9), 2021.

17. M. Ahmad,, “Multi Sensor-based Implicit User Identification”, Computers, Materials & Continua, (IF. 4.89), vol.68(2), 2021.

18. M. A. Azam, K. B. Khan, M. Ahmad,, “Multimodal Medical Image Registration and Fusion for Quality Enhancement”, Computers, Materials & Continua, (IF. 4.89), Vol.68, No.1, pp.821-840, 2021.

19. M. Ahmad, “Ground Truth Labeling and Samples Selection for Hyperspectral Image Classification”, Optik, (IF. 2.443), vol. 230, 2021.

20. A. Khan, S. Hayat, M. Ahmad,, “Learning Detailed 3D Face Reconstruction based on Convolutional Neural Networks from a Single Image”, Neural Computing and Applications (NCAA), (IF. 5.606), 2020.

21. K. B. Khan, M. S. Siddique, M. Ahmad,, “A hybrid unsupervised approach for retinal vessel segmentation”, BioMed Research International, (IF. 3.411), vol. 2020, 2020.

22. A. Umair, M. S. Sarfraz, M. Ahmad,, “Spatio-Temporal Analysis of Web News Archives for Crime Prediction”, vol. 10(22), pp. 8220, Applied Sciences, (IF. 2.679), 2020.

23. H. Ayaz, M. Ahmad,, “Hyperspectral Imaging for Minced Meat Classification Using Nonlinear Deep Features”, vol. 10(21), pp. 7783, Applied Sciences, (IF. 2.679), 2020.

24. Z. Saleem, M. H. Khan, M. Ahmad,, “Prediction of Microbial Spoilage and Shelf-Life of Bakery Products through Hyperspectral Imaging”, IEEE Access, vol. 8, pp. 176986-176996, (IF. 4.098), 2020.

25. H. Ayaz, M. Ahmad,, “Myoglobin-based Classification of Minced meat using Hyperspectral Imaging”, Applied Sciences, (IF. 2.679), 10, 6862, 2020.

26. M. H. Khan, Z. Saleem, M. Ahmad,, “Hyperspectral Imaging for Color Adulteration Detection in Red Chili”, Applied Sciences, (IF. 2.679), vol. 10, pp. 5955, 2020.

27. M. Ahmad,, “Multiclass Non-Randomized Spectral-Spatial Active Learning for Hyperspectral Image Classification”, Applied Sciences, (IF. 2.679), 2020.

28. M. Umer, S. Sadiq, M. Ahmad,, “A Novel Stacked CNN for Malarial Parasite Detection in Thin Blood Smear Images”, IEEE Access, (IF. 4.098), 2020.

29. M. Ahmad,, “Spatial-prior Generalized Fuzziness Extreme Learning Machine Autoencoder-based Active Learning for Hyperspectral Image Classification”, Optik, vol. 206, (IF. 2.443), 2020.

30. H. Hassan, A. K. Bashir, M. Ahmad,, “Image Dehazing by Superpixels Masking and Guidance Filter”, Journal of Real-Time Image Processing, (IF. 2.588), 2020.

31. M. S. Uz Zaman, M. Irfan, M. Ahmad,, “Power System Frequency Response Analysis Considering Modification in Inertia Coefficient (H) due to Virtual Inertia provided by Energy Storage Systems”, Energies, (IF. 3.004), vol. 13(4), 2020.

32. F. Rustam, A. Mehmood, M. Ahmad,, “Classification of Shopify App User Reviews Using Novel Multi Text Features”, IEEE Access, vol. 8, (IF. 4.098), 2020.

33. S. Maqsood, A. Shahid, F. Nazar, M. Asif, M. Ahmad,, “C-POS: A Context-Aware Adaptive Part-of-Speech Language Learning Framework”, IEEE Access, (IF. 4.098), vol. 8, 2020.

34. Z. Imtiaz, M. Umer, M. Ahmad,, “Duplicate Questions Pair Detection Using Siamese MaLSTM”, IEEE Access, vol. 8, (IF. 4.098), 2020.

35. O. Sohaib, W. Hussain, M. Asif, M. Ahmad,, “A PLS-SEM Neural Network approach for understanding Cryptocurrency Adoption”, IEEE Access, vol. 8, (IF. 4.098), 2019.

36. M. Ahmad,, “Spatial Prior Fuzziness Pool-based Interactive Classification of Hyperspectral Images”, Remote Sensing, vol. 11(5), (IF. 4.848), 2019.

37. M. Awais, T. Samin, M. A. Gulzar, H. Aljuaid, M. Ahmad,, “User Acceptance of HUMP-Model: The Role of E-Mavenism and Polychronicity”, IEEE Access, vol. 7, (IF. 4.098), 2019.

38. M. Ahmad,, “Segmented and Non-Segmented Stacked Denoising Autoencoder for Hyperspectral Band Reduction”, Optik, vol. 180, (IF. 2.443), 2019.

39. A. Khan, M. Ahmad,, “Photographic Painting Style Transfer using Convolutional Neural Networks”, Multimedia Tools and Applications, (IF. 2.757), 2019.

40. M. Ahmad,, “Smartwatch-based Legitimate User Identification for Cloud-based Secure Services”, Journal of Mobile Information Systems, vol. 2018, (IF. 1.802), 2018.

41. S. Protasov, A. M. Khan, K. Sozykin, M. Ahmad, “Using deep features for video scene detection and annotation”, Signal, Image and Video Processing, (IF 2.157), 2018.

42. A. Khan, M. Ahmad,, “Digital makeup from Internet images”, Optik, vol. 158, (IF. 2.443), 2018.

43. M. Ahmad,, “Fuzziness-based Active Learning Framework to Enhance Hyperspectral Image Classification Performance for Discriminative and Generative Classifiers”, PlosOne, vol. 13(1), (IF 3.240), 2018.

44. M. Ahmad,, “Metric Similarity Regularizer to Enhance the Optimization Performance for Hyperspectral Unmixing”, Optik, vol. 140(C), (IF. 2.443), 2017.

45. M. Ahmad,, “Graph-based Spatial-Spectral Feature Learning for Hyperspectral Image Classification”, IET Image Processing, vol. 11(12), (IF. 2.373), 2017.