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Muhammad Ahmad

Muhammad Ahmad

Assistant Professor
  • Department of Computer Science
  • dr.ahmad@nu.edu.pk
  • (041) 111-128-128
  • Ext: 159

Introduction

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, IU, Russia, (2017-2018)
  • Certified for Teaching Instructional Skills (ISW), IU, Russia, (2017), ISW Ontario, Canada.
  • Research Funding, IU, Russia, (2015-2019)

 

Education

  • Doctor of Philosophy (Hyperspectral Imaging), 02-2019
  • Innopolis University, Innopolis, Russia.
  • Masters of Science (Hyperspectral Imaging), 07-2011
  • International Islamic University, Islamabad, Pakistan
  • Bachelor of Science, 2007
  • (Metric Spaces / Mathematical Reasoning for Machine Learning Models), GC University, Pakistan

Publications

SELECTED PUBLICATIONS (2017-2020)

[J1] M. Ahmad, et. al., “A Fast and Compact 3D CNN for Hyperspectral Image Classification”, IEEE Geoscience and Remote Seining Letters, (JCR, IF. 3.534), (Accepted), 2020.

[J2] M. H. Khan, Z. Saleem, M. Ahmad, et. al., “Unsupervised adulterated Red-chili pepper content transformation for Classification”, (Accepted with edits), Neural Computing and Applications (NCAA), (JCR, IF. 4.774), 2020.

[J3] A. Khan, S. Hayat, M. Ahmad, et. al., “Learning Detailed 3D Face Reconstruction based on Convolutional Neural Networks from a Single Image”, Neural Computing and Applications (NCAA), (JCR, IF. 4.774), (Accepted), 2020.

[J4] K. B. Khan, M. S. Siddique, M. Ahmad, and M. Mazzara, “A hybrid unsupervised approach for retinal vessel segmentation”, BioMed Research International, (Accepted), (JCR, IF. 2.276), 2020.

[J5] M. Ahmad, et. al., “Multiclass Non-Randomized Spectral-Spatial Active Learning for Hyperspectral Image Classification”, Applied Sciences, (JCR, IF. 2.474), vol. 10, pp. 4739, 2020.

[J6] M. Ahmad, et. al., “Spatial-prior Generalized Fuzziness Extreme Learning Machine Autoencoder-based Active Learning for Hyperspectral Image Classification”, Optik- International Journal for Light and Electron Optics, (JCR, IF. 2.187), vol. 206, 2020.

[J7] A. Umair, M. S. Sarfraz, M. Ahmad, et.al., “Spatio-Temporal Analysis of Web News Archives for Crime Prediction”, Applied Sciences, (JCR, IF. 2.474), vol. 10(22), pp. 8220, 2020.

[J8] H. Ayaz, M. Ahmad, et. al., “Hyperspectral Imaging for Minced Meat Classification Using Nonlinear Deep Features”, Applied Sciences, (JCR, IF. 2.474), vol. 10(21), pp. 7783, 2020.

[J9] M. Ahmad, “Fuzziness-based Spatial-Spectral Class Discriminant Information Preserving Active Learning for Hyperspectral Image Classification”, (JCR, IF. 2.714), 2020.

[J10] Z. Saleem, H. M. Hussain, M. Ahmad, et. al., “Prediction of Microbial Spoilage and Shelf-Life of Bakery Products through Hyperspectral Imaging”, IEEE Access, (JCR, IF. 4.098), vol. 8, pp. 176986-176996, 2020.

[J11] H. Ayaz, M. Ahmad, et. al., “Myoglobin-based Classification of Minced meat using Hyperspectral Imaging”, Applied Sciences, (JCR, IF. 2.474), vol. 10, pp. 6862, 2020.

[J12] H. M. Hussain, Z. Saleem, M. Ahmad, et. al., “Hyperspectral Imaging for Color Adulteration Detection in Red Chili”, Applied Sciences, (JCR, IF. 2.474), vol. 10, pp. 5955, 2020.

[J13] M. Umer, S. Sadiq, M. Ahmad, et. al., “A Novel Stacked CNN for Malarial Parasite Detection in Thin Blood Smear Images”, IEEE Access, (JCR, IF. 4.098), vol. 8, pp. 93782- 93792, 2020.

[J14] H. Hassan, A. K. Bashir, M. Ahmad, et. al., “Image Dehazing by Superpixels Masking and Guidance Filter”, Journal of Real-Time Image Processing, (JCR, IF. 2.588), 2020.

[J15] M. S. U. Zaman, M. Irfan, M. Ahmad, et. al., “Power System Frequency Response Analysis Considering Modification in Inertia Coefficient (H) due to Virtual Inertia provided by Energy Storage Systems”, Energies, (JCR, IF. 2.707), vol. 13(4), 2020.

[J16] F. Rustam; A. Mehmood; M. Ahmad, et. al., “Classification of Shopify App User Reviews Using Novel Multi Text Features”, IEEE Access, (JCR, IF. 4.098), vol. 8, 2020.

[J17] S. Maqsood, A. Shahid, F. Nazar, M. Asif, M. Ahmad, M. Mazzara, “C-POS: A Context-Aware Adaptive Part-of-Speech Language Learning Framework”, IEEE Access, (JCR, IF. 4.098), vol. 8, 2020.

[J18] Z. Imtiaz, M. Umer, M. Ahmad, et. al., “Duplicate Questions Pair Detection Using Siamese MaLSTM”, IEEE Access, (JCR, IF. 4.098), vol. 8, 2020.

[J19] O. Sohaib, W. Hussain, M. Asif, M. Ahmad, M. Mazzara, “A PLS-SEM Neural Network approach for understanding Cryptocurrency Adoption”, IEEE Access, (JCR, IF. 4.098), vol. 8, 2019.

[J20] M. Ahmad, et. al., “Spatial Prior Fuzziness Pool-based Interactive Classification of Hyperspectral Images”, Remote Sensing, (JCR, IF. 4.509), vol. 11(5), 2019.

[J21] M. Awais, T. Samin, M. A. Gulzar, H. Aljuaid, M. Ahmad, M. Mazzara, “User Acceptance of HUMP-Model: The Role of E-Mavenism and Polychronicity”, IEEE Access, (JCR, IF. 4.098), vol. 7, 2019.

[J22] M. Ahmad, et. al., “Segmented and Non-Segmented Stacked Denoising Autoencoder for Hyperspectral Band Reduction”, Optik- International Journal for Light and Electron Optics, (JCR, IF. 2.187), vol. 180, 2019.

[J23] A. Khan, M. Ahmad, et. al., “Photographic Painting Style Transfer Using Convolutional Neural Networks”, Multimedia Tools and Applications, (JCR, IF. 2.101), vol. 78, pp. 19565-19586, 2019.

[J24] M. Ahmad, et. al., “Fuzziness-based Active Learning Framework to Enhance Hyperspectral Image Classification Performance for Discriminative and Generative Classifiers”, PlosOne, (JCR, IF 2.8+), vol. 13(1), 2018.

[J25] M. Ahmad, et. al., “Smartwatch-based Legitimate User Identification for Cloud-based Secure Services”, Journal of Mobile Information Systems, (JCR, IF. 1.635), vol. 2018, 2018.

[J26] S. Protasov, Adil M. Khan, K. Sozykin, M. Ahmad, “Using deep features for video scene detection and annotation”, Signal, Image and Video Processing, (JCR, IF 1.894), vol. 12, pp. 991-999, 2018.

[J27] A. Khan, M. Ahmad, et. al., “Digital makeup from Internet images”, Optik- International Journal for Light and Electron Optics, (JCR, IF. 2.187), vol. 158, 2018.

[J28] M. Ahmad, et. al., “Metric Similarity Regularizer to Enhance the Optimization Performance for Hyperspectral Unmixing”, Optik- International Journal for Light and Electron Optics, (JCR, IF. 2.187), vol. 140(C), 2017.

[J29] M. Ahmad, et. al., “Graph-based Spatial-Spectral Feature Learning for Hyperspectral Image Classification”, IET Image Processing, (JCR, IF. 2.004), vol. 11(12), 2017.