Faculty Profile

Dr. Muhammad Ahmad
Assistant Professor

Dr. Muhammad Ahmad received his B.S. degree in Mathematics from GC University, M.S. degree in Electronics Engineering from International Islamic University, and a Ph.D. degree in Computer Science and Engineering from Innopolis University, Innopolis, Russia. He is pursuing another Ph.D. (remotely) in Computer Science and Engineering from the University of Messina, Messina, Italy. Since March 2019, he is associated with the Department of Computer Engineering, Khwaja Freed University of Engineering and Information Technology (KFUEIT). He has worked as Research Fellow/Associate/Assistant in multiple world-renowned universities/laboratories mainly focused on applied as well as basic research on Machine Learning models. His current research interests include Machine Learning, Computer Vision, Remote Sensing, Hyperspectral Imaging, and Wearable Computing.

PEER REVIEWED SELECTED JOURNAL PAPERS

https://www.researchgate.net/profile/Muhammad_Ahmad185

  1. Muhammad Ahmad, et al., "Spatial Prior Fuzziness Pool-based Interactive Classification of Hyperspectral Images", Remote Sensing, vol. 11(5), (SCI, IF. 4.119), 2019.
  2. Muhammad Ahmad, et al., "Segmented and Non-Segmented Stacked Denoising Autoencoder for Hyperspectral Band Reduction", Optik - International Journal for Light and Electron Optics, vol. 180, pp. 370-378, (SCIE, IF. 1.914), 2019.
  3. Asad khan, Muhammad Ahmad, et al., "Photographic Painting Style Transfer Using Convolutional Neural Networks", Multimedia Tools and Applications, Springer, pp. 1-22, (SCIE, IF. 2.101), 2019.
  4. Muhammad Ahmad, et al., "Fuzziness-based Active Learning Framework to Enhance Hyperspectral Image Classification Performance for Discriminative and Generative Classifiers", PlosOne, doi:10.1371/journal.pone.0188996, vol. 13(1), (SCIE, IF 2.8), 2018.
  5. Muhammad Ahmad, et al., "Smartwatch-based Legitimate User Identification for Cloud-based Secure Services", Journal of Mobile Information Systems, Volume 2018, Article ID 5107024, 14 pages, https://doi.org/10.1155 /2018/51070242018, (SCIE, IF. 1.635), 2018.
  6. Stanislav Protasov, et al., "Using deep features for video scene detection and annotation", Signal, Image and Video Processing, pp. 1-9, (SCIE, IF 1.894), 2018.
  7. Adil Khan, et al., "Digital makeup from Internet images", Optik – International Journal for Light and Electron Optics, vol. 158, pp. 590-601, (SCIE, IF. 1.914), 2018.
  8. Muhammad Ahmad, et.al., "Graph-based Spatial-Spectral Feature Learning for Hyperspectral Image Classification", IET Journal of Image Processing, DOI: 10.1049/iet-ipr.2017.0168, vol. 11(12), pp. 1310-1316, (SCI, IF. 2.004),  2017.
  9. Muhammad Ahmad, Adil Khan, Ali Kashif Bashir, "Metric Similarity Regularizer to Enhance the Optimization Performance for Hyperspectral Unmixing", Elsevier, Optik-International Journal of Light and Electron Optics, vol. 140(C), pp. 86-95, (SCIE, IF. 1.914), 2017.
  10. Muhammad Ahmad, et al., "Hyperspectral blind unmixing and multiple target detection using linear mixture model", Journal of Advanced Materials Research, vol 488, pp. 1224-1228.
  11. Muhammad Ahmad, et al., "Hyperspectral Blind Unmixing and Multiple Target Detection Using Linear Mixture Model", Journal of Advanced Materials Research, vol. 488-489, pp. 1224-1228.

PEER REVIEWED SELECTED CONFERENCE PAPERS

  1. Muhammad Ahmad, et al., "Extended Sammon Projection and Wavelet Kernel Extreme Learning Machine for Gait Based Legitimate User Identification on Smartphones", In Proc. of The 34th ACM/SIGAPP Symposium on Applied Computing (SAC’19), pp. 1216-1219, 2019.
  2. Muhammad Ahmad, et al., "Multi-Layer Extreme Learning Machine based Autoencoder for Hyperspectral Image Classification", In Proc. of the 14th International Conference on Computer Vision Theory and Applications (VISAPP’19), Vol. 4, pp. 75-82, Prague, Czech Republic, 2019.
  3. Taimoor Shakeel Sheikh, et.al., "Preprocessing Imbalanced Data using Variational Autoencoders For Class-imbalanced Deep Learning", In proc of 8th International Conference - Analysis of Images, Social networks and Texts (AIST’19). Accepted, 2019.
  4. Muhammad Ahmad, et al., "Seeking Optimum System Settings for Physical Activity Recognition (PAR) on Smartwatches", In Proc. of Computer Vision Conference, Springer, Accepted, 2019.
  5. Antonio Capizzi, et al, "Software Release anomaly detection in DevOps environment", DEVOPS’19, Accpeted, 2019.
  6. Manuel Mazzara, et al, "A Reference Architecture for Smart and Software-defined Buildings", In Proc. of IEEE International Workshop on Sensors and Smart Cities (SMARTCOMP’19), Accepted, 2019.
  7. Mikhail Bortnikov, et al, "Accident Recognition via 3D CNNs for Automated Tra_c Monitoring in Smart Cities", In Proc. of Computer Vision Conference, Springer, Accepted, 2019.
  8. Bulat Saifullin, et. al., "Analysis of Android Camera Spoofing Techniques", In proc. of 19th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (IEEE SNDP-2018), pp. 10-14, 2018.
  9. Muhammad Ahmad, et al., "Unsupervised Geometrical Feature Learning from Hyperspectral Data", In Proc. of IEEE Symposium Series on Computational Intelligence (IEEE SSCI), pp. 1-6, 2019.
  10. Muhammad Ahmad, et al., "Gait Fingerprinting-based User Identification on Smartphones", In Proc. of IEEE International Joint Conference on Neural Networks (IEEE IJCNN), in conjunction with World Congress on Computational Intelligence (IEEE WCCI), pp. 3060-3067, 2016.

 

Machine Learning, Image and Signal Processing, Computer Vision, Hyperspectral Imaging, and Wearable Computing.

  • Best Employee of the Year’17 Award, Innopolis University, Innopolis, Russia.
  • Certified for Teaching Instructional Skills Workshop (ISW), Innopolis University, Innopolis, Russia.
  • Research Fellowship, 2015-2019, Innopolis University, Innopolis, Russia.
  • Regular Reviewer: 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 Transactions on Industrial Applications,
  • IEEE Transactions on Mobile Computing,
  • IEEE Transactions on Multimedia,
  • 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 Computers,
  • IEEE Access,
  • IEEE Sensors,
  • Remote Sensing,
  • Computer Magazine,
  • Neural Computing, and Applications (NCAA),
  • Measurement Science and Technology,
  • IET Image Processing Journal,
  • Transactions on Internet and Information Systems
  • IEEE International Conference on Computational Intelligence in Bioinformatics and Computational Biology (IEEE CIBCB), 2017,
  • IEEE Symposium Series on Computational Intelligence (2016),
  • 19th International Conference on Systems, Signals, and Image Processing.
  • PC Member: Divops’19;
  • Tools 50+1.
  • Session Chair: IEEE Symposium Series on Computational Intelligence, IEEE-SSCI-2016, (FASLIP),
  • Guest Speaker: IEEE Pakistan’s First Student Computer Society Congress 2015,