World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
38
Citations
6533
World Ranking
10191
National Ranking
37

Overview

Tomas E. Ward is affiliated with Dublin City University in Ireland. Their research spans multiple fields, with a primary focus on Medicine and Computer Science. Within these broad areas, Tomas has contributed extensively to subfields such as Cognitive Neuroscience, Computer Vision and Pattern Recognition, Artificial Intelligence, Cardiology and Cardiovascular Medicine, and Pharmacology.

Their work covers a range of topics, with notable emphasis on musculoskeletal pain and rehabilitation, EEG and brain-computer interfaces, sports injuries and prevention, generative adversarial networks and image synthesis, non-invasive vital sign monitoring, heart rate variability and autonomic control, and neural and behavioral psychology studies.

Tomas E. Ward has co-authored research with several frequent collaborators. These include Eoin Brophy, Ciarán Purcell, Bróna M. Fullen, Brian Caulfield, and Zhengwei Wang. Collaborative efforts with these researchers have contributed to a body of literature in diverse domains.

Their recent publications demonstrate a focus on generative adversarial networks, reinforcement learning, and healthcare data analytics. Recent papers include:

  • Generative Adversarial Networks in Time Series: A Systematic Literature Review, 2022, ACM Computing Surveys
  • Generative Adversarial Networks in Computer Vision, 2021, ACM Computing Surveys
  • Deep Adversarial Imitation Reinforcement Learning for QoS-Aware Cloud Job Scheduling, 2021, IEEE Systems Journal
  • Predicting Medication Adherence Using Ensemble Learning and Deep Learning Models with Large Scale Healthcare Data, 2021, Scientific Reports
  • The Potential of Electrospinning to Enable the Realization of Energy-Autonomous Wearable Sensing Systems, 2024, ACS Nano

Tomas has published frequently in several venues including arXiv (Cornell University), bioRxiv (Cold Spring Harbor Laboratory), Zenodo (CERN European Organization for Nuclear Research), Frontiers in Neuroergonomics, and ACM Transactions on Knowledge Discovery from Data. These publication venues reflect an interdisciplinary approach crossing computer science and biomedical domains.

Best Publications

  • Brain-computer interface using a simplified functional near-infrared spectroscopy system.

    Shirley M Coyle;Tomás E Ward;Charles M Markham

  • Generative Adversarial Networks in Computer Vision: A Survey and Taxonomy

    Zhengwei Wang;Qi She;Tomás E. Ward

  • On the suitability of near-infrared (NIR) systems for next-generation brain?computer interfaces

    Shirley Coyle;Tomas E. Ward;Charles Markham;Gary McDarby

  • Artifact Removal in Physiological Signals—Practices and Possibilities

    K. T. Sweeney;T. E. Ward;S. F. McLoone

  • The Use of Ensemble Empirical Mode Decomposition With Canonical Correlation Analysis as a Novel Artifact Removal Technique

    K. T. Sweeney;S. F. McLoone;T. E. Ward

  • Brain computer interfaces for neurorehabilitation – its current status as a rehabilitation strategy post-stroke.

    L.E.H. van Dokkum;T. Ward;I. Laffont

  • Hemodynamics for Brain-Computer Interfaces

    F. Matthews;B.A. Pearlmutter;T.E. Ward;C. Soraghan

  • Wearable Inertial Sensor Systems for Lower Limb Exercise Detection and Evaluation: A Systematic Review

    Martin O’Reilly;Brian Caulfield;Tomas Ward;William Johnston

  • Medical applications of terahertz imaging: a review of current technology and potential applications in biomedical engineering

    K. Humphreys;J.P. Loughran;M. Gradziel;W. Lanigan

  • A Methodology for Validating Artifact Removal Techniques for Physiological Signals

    K. T. Sweeney;H. Ayaz;T. E. Ward;M. Izzetoglu

  • On consistency and network latency in distributed interactive applications: a survey--part I

    Declan Delaney;Tomás Ward;Seamus McLoone

  • Similar scaling of contralateral and ipsilateral cortical responses during graded unimanual force generation.

    Gerard Derosiere;Francois Alexandre;Nicolas Bourdillon;Kevin Mandrick

  • Algorithm for optimal denoising of Raman spectra

    Sinead J. Barton;Tomas E. Ward;Bryan M. Hennelly

  • Development of a wearable motion capture suit and virtual reality biofeedback system for the instruction and analysis of sports rehabilitation exercises

    D. Fitzgerald;J. Foody;D. Kelly;T. Ward

  • NIRS-measured prefrontal cortex activity in neuroergonomics: strengths and weaknesses

    Gerard Derosiere;Kevin Mandrick;Gerard Dray;Tomas E Ward

  • Physiological noise in near-infrared spectroscopy: implications for optical brain computer interfacing

    S. Coyle;T. Ward;C. Markham

  • A P300-Based Brain-Computer Interface for Improving Attention

    Mahnaz Arvaneh;Ian H. Robertson;Tomas E. Ward

  • Generative Adversarial Networks: A Survey and Taxonomy.

    Zhengwei Wang;Qi She;Tomas E. Ward

  • Automatic Blind Syllable Segmentation for Continuous Speech

    Rudi Villing;Joseph Timoney;Tomas E. Ward

  • Technology in Rehabilitation: Evaluating the Single Leg Squat Exercise with Wearable Inertial Measurement Units.

    Darragh F Whelan;Martin A O'Reilly;Tomás E Ward;Eamonn Delahunt

  • Synthesis of Realistic ECG using Generative Adversarial Networks

    Anne Marie Delaney;Eoin Brophy;Tomas E. Ward

  • Brain–computer interfaces: a review

    Shirley Coyle;Tomas E. Ward;Charles Markham

  • Hemodynamics for brain-computer interfaces: optical correlates of control signals

    Fiachra Matthews;Barak A. Pearlmutter;Tomas E. Ward;Christopher Soraghan

Frequent Co-Authors

Alan F. Smeaton
Alan F. Smeaton Dublin City University
Seán McLoone
Seán McLoone Queen's University Belfast
Stéphane Perrey
Stéphane Perrey University of Montpellier
Ian H. Robertson
Ian H. Robertson Trinity College Dublin
Bryan Roche
Bryan Roche National University of Ireland, Maynooth
Barak A. Pearlmutter
Barak A. Pearlmutter National University of Ireland, Maynooth
Cathal Gurrin
Cathal Gurrin Dublin City University
Hasan Ayaz
Hasan Ayaz Drexel University
Dermot Diamond
Dermot Diamond Dublin City University
John V. Ringwood
John V. Ringwood National University of Ireland, Maynooth

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring online education in computer science opens new possibilities for students across various backgrounds. Many universities now offer affordable online courses that allow you to learn at your own pace while keeping costs down. This flexibility can be especially important for those balancing study with work or family commitments.

If your academic history includes a lower GPA, don’t worry—there are excellent online colleges that accept 2.0 gpa. These institutions provide a second chance to pursue your career goals in computer science and related fields.

The tech sector also intersects with other high-growth fields. For example, earning a computer science or environmental science degree can lead to high-paying jobs with environmental science degree backgrounds, such as data analysis, sustainability consulting, or environmental software development.

If you are eager to join the workforce quickly, check out fast track computer science degree options. These programs help you earn your qualification in less time, allowing you to jumpstart your tech career sooner.

Best Scientists Citing Tomas E. Ward

Trending Scientists

Recently Published Articles