World's Best Scientists 2026 revealed!
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Computer Science
Canada
2025

D-Index & Metrics

Computer Science

D-Index
75
Citations
20617
World Ranking
1425
National Ranking
48

Research.com Recognitions

  • 2025 - Research.com Computer Science in Canada Leader Award
  • 2023 - Research.com Computer Science in Canada Leader Award
  • 2022 - Research.com Computer Science in Canada Leader Award
  • 2020 - Member of the National Academy of Engineering For innovative applications of signal processing to industrial and bioengineering problems.
  • 1999 - Fellow of the Royal Society of Canada Academy of Science
  • 1999 - IEEE Fellow For contributions to digital signal processing applications in television and medical imaging.
  • The Canadian Academy of Engineering
  • The Canadian Academy of Engineering
  • The Canadian Academy of Engineering

Overview

Rabab K. Ward is affiliated with the University of British Columbia in Canada and has made contributions across various domains, primarily focusing on computer science. Their research spans several subfields, with substantial work in computer vision and pattern recognition, artificial intelligence, cardiology and cardiovascular medicine, biomedical engineering, and cognitive neuroscience.

The scientist's recent publications cover diverse topics including medical monitoring, deep learning, and neural network applications. Notable papers include:

  • Cuffless Single-Site Photoplethysmography for Blood Pressure Monitoring, 2020, Journal of Clinical Medicine
  • The Effectiveness of Image Augmentation in Deep Learning Networks for Detecting COVID-19: A Geometric Transformation Perspective, 2021, Frontiers in Medicine
  • Multi-view 3D Reconstruction with Transformers, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • A convolutional-recurrent neural network approach to resting-state EEG classification in Parkinson's disease, 2021, Journal of Neuroscience Methods
  • Semi-dilated convolutional neural networks for epileptic seizure prediction, 2021, Neural Networks

Frequent co-authors in their collaborations include:

  • Thomas Coughlin
  • Sergio Benedetto
  • Forrest Wright
  • Saifur Rahman
  • Jill Gostin

The scientist's contributions have been published in a range of venues, especially those related to engineering and technology, such as:

  • IEEE Transactions on Power Electronics
  • IEEE Photonics Technology Letters
  • arXiv (Cornell University)
  • IEEE Aerospace and Electronic Systems Magazine
  • IEEE Transactions on Human-Machine Systems

Main areas of study for Rabab K. Ward encompass computer science with a strong focus on topics including:

  • Non-Invasive Vital Sign Monitoring
  • EEG and Brain-Computer Interfaces
  • Heart Rate Variability and Autonomic Control
  • Human Pose and Action Recognition
  • Hemodynamic Monitoring and Therapy
  • ECG Monitoring and Analysis
  • COVID-19 diagnosis using AI

Throughout their career, Rabab K. Ward has received recognition from professional societies. Awards include being named a Member of the National Academy of Engineering in 2020 for contributions involving signal processing in industrial and bioengineering applications.

Additional honors comprise election as a Fellow of the Royal Society of Canada and IEEE Fellow status, both awarded in 1999, recognizing contributions to digital signal processing in television and medical imaging. The scientist is also affiliated with the Canadian Academy of Engineering.

Best Publications

  • A survey of signal processing algorithms in brain-computer interfaces based on electrical brain signals.

    Ali Bashashati;Mehrdad Fatourechi;Rabab K Ward;Gary E Birch;Gary E Birch

  • Deep sentence embedding using long short-term memory networks: analysis and application to information retrieval

    Hamid Palangi;Li Deng;Yelong Shen;Jianfeng Gao

  • Image Fusion With Convolutional Sparse Representation

    Yu Liu;Xun Chen;Rabab K. Ward;Z. Jane Wang

  • EMG and EOG artifacts in brain computer interface systems: A survey

    Mehrdad Fatourechi;Ali Bashashati;Rabab K. Ward;Gary E. Birch;Gary E. Birch

  • Deep learning for pixel-level image fusion: Recent advances and future prospects

    Yu Liu;Xun Chen;Xun Chen;Zengfu Wang;Z. Jane Wang

  • Fast Image/Video Contrast Enhancement Based on Weighted Thresholded Histogram Equalization

    Qing Wang;R.K. Ward

  • The use of photoplethysmography for assessing hypertension

    Mohamed Elgendi;Richard Fletcher;Yongbo Liang;Newton Howard

  • Learning Sparse Representations for Human Action Recognition

    T. Guha;R. K. Ward

  • Telomere length measurements using digital fluorescence microscopy

    Steven S.S. Poon;Uwe M. Martens;Rabab K. Ward;Peter M. Lansdorp;Peter M. Lansdorp

  • Medical Image Fusion via Convolutional Sparsity Based Morphological Component Analysis

    Yu Liu;Xun Chen;Rabab K. Ward;Z. Jane Wang

  • Removing the blocking artifacts of block-based DCT compressed images

    Ying Luo;R.K. Ward

  • Wavelet-based illumination normalization for face recognition

    Shan Du;R. Ward

  • Optimized deep neural network architecture for robust detection of epileptic seizures using EEG signals.

    Ramy Hussein;Hamid Palangi;Rabab K. Ward;Z. Jane Wang

  • A New Orientation-Adaptive Interpolation Method

    Qing Wang;R.K. Ward

  • An optimal filter for short photoplethysmogram signals

    Yongbo Liang;Mohamed Elgendi;Zhencheng Chen;Rabab Ward

  • A Robust and Fast Video Copy Detection System Using Content-Based Fingerprinting

    M M Esmaeili;M Fatourechi;R K Ward

  • Video-Based Heart Rate Measurement: Recent Advances and Future Prospects

    Xun Chen;Juan Cheng;Rencheng Song;Yu Liu

  • Optimizing a Tone Curve for Backward-Compatible High Dynamic Range Image and Video Compression

    Zicong Mai;H Mansour;R Mantiuk;P Nasiopoulos

  • A rotation invariant rule-based thinning algorithm for character recognition

    M. Ahmed;R. Ward

  • Segmentation and Classification of Polarimetric SAR Data Using Spectral Graph Partitioning

    K. Ersahin;I.G. Cumming;R.K. Ward

  • Predictive RD optimized motion estimation for very low bit-rate video coding

    F. Kossentini;Yuen-Wen Lee;M.J.T. Smith;R.K. Ward

Frequent Co-Authors

Angshul Majumdar
Angshul Majumdar Indraprastha Institute of Information Technology Delhi
Z. Jane Wang
Z. Jane Wang University of British Columbia
Faouzi Kossentini
Faouzi Kossentini Intel (United States)
Li Deng
Li Deng Citadel
Xun Chen
Xun Chen University of Science and Technology of China
Peter M. Lansdorp
Peter M. Lansdorp University of British Columbia
Athina P. Petropulu
Athina P. Petropulu Rutgers, The State University of New Jersey
Amr Mohamed
Amr Mohamed Qatar University
Sergios Theodoridis
Sergios Theodoridis National and Kapodistrian University of Athens
Derek Abbott
Derek Abbott University of Adelaide

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