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M. Omair Ahmad

M. Omair Ahmad

D-Index & Metrics

Computer Science

D-Index
39
Citations
6685
World Ranking
9742
National Ranking
385

Overview

M. Omair Ahmad is affiliated with Concordia University in Canada and has contributed extensively to the fields of Computer Science and Engineering. Their research spans multiple subfields, including Computer Vision and Pattern Recognition, Media Technology, Electrical and Electronic Engineering, Radiology, Nuclear Medicine and Imaging, and Artificial Intelligence.

Their work covers a range of topics in advanced image processing and analysis, including:

  • Advanced Image Processing Techniques
  • Image and Signal Denoising Methods
  • Advanced Vision and Imaging
  • Image Processing Techniques and Applications
  • Advanced Neural Network Applications
  • Medical Image Segmentation Techniques
  • Medical Imaging and Analysis

M. Omair Ahmad has published numerous papers in well-regarded publication venues. These include:

  • IEEE Access
  • IEEE Transactions on Broadcasting
  • International Journal of Computer Assisted Radiology and Surgery
  • Signal Processing Image Communication
  • IEEE Transactions on Artificial Intelligence

Notable recent papers by M. Omair Ahmad include:

  • Sleep Apnea Detection From Variational Mode Decomposed EEG Signal Using a Hybrid CNN-BiLSTM (2021, IEEE Access)
  • An Adaptive Turn Rate Estimation for Tracking a Maneuvering Target (2020, IEEE Access)
  • CapsCovNet: A Modified Capsule Network to Diagnose COVID-19 From Multimodal Medical Imaging (2021, IEEE Transactions on Artificial Intelligence)
  • SRNSSI: A Deep Light-Weight Network for Single Image Super Resolution Using Spatial and Spectral Information (2021, IEEE Transactions on Computational Imaging)
  • Multimodal 3D ultrasound and CT in image-guided spinal surgery: public database and new registration algorithms (2021, International Journal of Computer Assisted Radiology and Surgery)

The scientist frequently collaborates with several other researchers, including:

  • M.N.S. Swamy
  • Alireza Esmaeilzehi
  • Hassan Rivaz
  • Wei-Ping Zhu
  • Hossein Zaredar

M. Omair Ahmad's work showcases a broad engagement with both theoretical and applied aspects of medical imaging, signal processing, and neural network applications. Their publications reflect a focus on both the development of novel computational methods and their application in real-world imaging and diagnostic scenarios.

Best Publications

  • Optimizing the kernel in the empirical feature space

    Huilin Xiong;M.N.S. Swamy;M.O. Ahmad

  • Rapid and brief communication: Two-dimensional FLD for face recognition

    Huilin Xiong;M. N. S. Swamy;M. O. Ahmad

  • A constrained anti-Hebbian learning algorithm for total least-squares estimation with applications to adaptive FIR and IIR filtering

    Keqin Gao;M. Omair Ahmad;M.N.S. Swamy

  • A study of the residue-to-binary converters for the three-moduli sets

    Wei Wang;M.N.S. Swamy;M.O. Ahmad;Yuke Wang

  • Multiplicative Watermark Decoder in Contourlet Domain Using the Normal Inverse Gaussian Distribution

    Hamidreza Sadreazami;M. Omair Ahmad;M. N. S. Swamy

  • A study of multiplicative watermark detection in the contourlet domain using alpha-stable distributions.

    Hamidreza Sadreazami;M. Omair Ahmad;M. N. S. Swamy

  • A low-complexity parametric transform for image compression

    Saad Bouguezel;M. Omair Ahmad;M.N.S. Swamy

  • Multi-Site Infant Brain Segmentation Algorithms: The iSeg-2019 Challenge

    Yue Sun;Kun Gao;Zhengwang Wu;Zhihao Lei

  • A note on "A high-speed residue-to-binary converter for three-moduli (2/sup k/ 2/sup k/ - 1, 2/sup k-1/ - 1) RNS and a scheme for its VLSI implementation"

    Wei Wang;M.N.S. Swamy;M.O. Ahmad;Yuke Wang

  • Systolic algorithms and a memory-based design approach for a unified architecture for the computation of DCT/DST/IDCT/IDST

    D.F. Chiper;M.N.S. Swamy;M.O. Ahmad;T. Stouraitis

  • Near-Field Localization of Partially Polarized Sources with a Cross-Dipole Array

    Jin He;M. O. Ahmad;M. N. S. Swamy

  • Contrast-based fusion of noisy images using discrete wavelet transform

    S.M. Mahbubur Rahman;M. Omair Ahmad;M.N.S. Swamy

  • A new radix-2/8 FFT algorithm for length-q/spl times/2/sup m/ DFTs

    S. Bouguezel;M.O. Ahmad;M.N.S. Swamy

  • A fast 8×8 transform for image compression

    Saad Bouguezel;M. Omair Ahmad;M. N. S. Swamy

  • A Robust Multibit Multiplicative Watermark Decoder Using a Vector-Based Hidden Markov Model in Wavelet Domain

    Marzieh Amini;M. Omair Ahmad;M.N.S. Swamy

  • A novel transform for image compression

    Saad Bouguezel;M. Omair Ahmad;M.N.S. Swamy

  • Ramanujan sums and discrete Fourier transforms

    S. Samadi;M.O. Ahmad;M.N.S. Swamy

  • Carrier Frequency Offset Estimation and I/Q Imbalance Compensation for OFDM Systems

    Feng Yan;Wei-Ping Zhu;M Omair Ahmad

  • A systolic array architecture for the discrete sine transform

    D.F. Chiper;M.N.S. Swamy;M.O. Ahmad;T. Stouraitis

  • FPGA design and implementation of a low-power systolic array-based adaptive Viterbi decoder

    Man Guo;M.O. Ahmad;M.N.S. Swamy;Chunyan Wang

  • Normalization and Weighting Techniques Based on Genuine-Impostor Score Fusion in Multi-Biometric Systems

    Waziha Kabir;M. Omair Ahmad;M.N.S. Swamy

  • Multi-Site Infant Brain Segmentation Algorithms: The iSeg-2019 Challenge

    Yue Sun;Kun Gao;Zhengwang Wu;Guannan Li

Frequent Co-Authors

M.N.S. Swamy
M.N.S. Swamy Concordia University
Wei-Ping Zhu
Wei-Ping Zhu Concordia University
Vijay Devabhaktuni
Vijay Devabhaktuni Illinois State University
Mohammad Tariqul Islam
Mohammad Tariqul Islam National University of Malaysia
Qi Dou
Qi Dou Chinese University of Hong Kong
Bennett A. Landman
Bennett A. Landman Vanderbilt University
Gang Li
Gang Li University of North Carolina at Chapel Hill
Ian H. Gotlib
Ian H. Gotlib Stanford University
Kathryn L. Humphreys
Kathryn L. Humphreys Vanderbilt University
Ming-Hsuan Yang
Ming-Hsuan Yang University of California, Merced

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