John Thomas

John Thomas

Neuroengineering Scientist at Duke University:Biomedical Signal Processing | Deep Learning | Epilepsy | Sleep | Brain-Computer Interfaces

📊 Research Overview

Publications: 32 peer-reviewed publications (20 journal articles, 8 conference publications, 2 book chapters, and 2 under review), 1 patent pending, 2 technology disclosures, 26 abstracts, and 1 magazine article.

Google Scholar Metrics:

Outreach:

📑 Experience with Grant Writing

USA: National Institutes of Health (NIH), CURE Epilepsy, American Epilepsy Society (AES)
Canada: Canadian Institutes of Health Research (CIHR), Savoy Foundation
Singapore: Ministry of Education (MOE), National Health Innovation Centre (NHIC)

🔍 Patents and Technology Disclosures

  1. J. Dauwels, W. Y. Peh, J. Thomas, and M. Birnbaum
    “Automated machine learning-based slow detection and classification system, and artifact removal in EEG,” Technology disclosure accepted at NTUitive (Ref. ID: 2019-369-01-SG-PRV), 2019.

  2. J. Dauwels, W. Y. Peh, J. Thomas, and M. Birnbaum
    “Detection of slowing patterns in EEG data,” WO2021183048A1, US20230104030A1, pending, 2023.
    Patent Link

  3. J. Dauwels, J. Thomas, and P. Thangavel
    “Automated deep learning-based epilepsy diagnostic system,” Technology disclosure accepted at NTUitive (Ref. ID: 2018-292-01-SG-PRV), 2019.

📝 Lead Author Journal Publications

  1. J. Thomas, C. Abdallah, Z. Cai, et al.
    “Investigating current clinical opinions in stereoelectroencephalography-informed epilepsy surgery,” Epilepsia, 2024.

  2. J. Thomas, C. Abdallah, K. Jaber, V. Latreille, L. Minotti, et al.
    “Development of a seizure matching system for clinical decision-making in epilepsy surgery,” Journal of Neural Engineering, in press, 2024.

  3. J. Thomas, P. Kahane, C. Abdallah, et al.
    “A subpopulation of spikes predicts successful epilepsy surgery outcome,” Annals of Neurology, vol. 93, no. 3, pp. 522–535, 2023.
    Link

  4. P. Thangavel, J. Thomas (equal-contribution), N. Sinha, et al.
    “Improving automated diagnosis of epilepsy from EEGs beyond IEDs,” Journal of Neural Engineering, vol. 19, no. 6, p. 066017, 2022.
    Link

  5. J. Thomas, P. Thangavel, W. Y. Peh, et al.
    “Automated adult epilepsy diagnostic tool based on interictal scalp electroencephalogram characteristics: A six-center study,” International Journal of Neural Systems, vol. 31, no. 05, p. 2050074, 2021.
    Link

  6. J. Thomas, J. Jin, P. Thangavel, et al.
    “Automated detection of interictal epileptiform discharges from scalp electroencephalograms by convolutional neural networks,” International Journal of Neural Systems, vol. 30, no. 11, p. 2050030, 2020.
    Link

🖊️ Other Journal Publications

  1. C. Abdallah, J. Thomas, …, and B. Frauscher
    “Visual features in stereo-electroencephalography to predict surgical outcome: A multicenter study,” Annals of Neurology, under review, 2024.

  2. S. Abirami, Y. Rajamanickam, R. Menon, J. Thomas, and A. R. Jac Fredo
    “Characterization and classification of seizure types using time-frequency decomposition of scalp EEG signals,” IEEE Access, under review, 2024.

  3. S. Hannan, J. Thomas, K. Jaber, et al.
    “The differing effects of sleep on ictal and interictal network dynamics in drug-resistant epilepsy,” Annals of Neurology, vol. 95, no. 1, pp. 42–56, 2024.

📘 Conference Proceedings (Peer-Reviewed)

  1. D. Jeswani, P. Kumar Govarthan, A. Selvaraj, C. Bobby Thomas, J. Thomas, and J. F. Agastinose Ronickom
    “A feasibility study on using EEG for biometric trait authentication system,” in Current Directions in Biomedical Engineering, De Gruyter, vol. 9, 2023, pp. 690–693.

  2. A. Selvaraj, S. Pj, J. Thomas, Y. Rajamanickam, R. N. Menon, and J. F. Agastinose Ronickom
    “Multi-class seizure type classification using features extracted from the EEG,” in Healthcare Transformation with Informatics and Artificial Intelligence, IOS Press, 2023, pp. 68–71.
    Link

📚 Book Chapters

  1. S. Abirami, J. Thomas, R. Yuvaraj, and J. F. Agastinose Ronickom
    A Comparative Study on EEG Features for Neonatal Seizure Detection. Springer, 2022, pp. 43–64.

  2. R. Yuvaraj, J. Thomas, E. Bagheri, J. Dauwels, R. Rathakrishnan, and Y. L. Tan
    Computational Approaches for Diagnosis and Monitoring of Epilepsy from Scalp EEG. Springer, 2022, pp. 1–31.

🔍 Selected Abstracts

  1. T. Arafat, J. Thomas, G. Gurevitch, …, F. Fahoum, and S. Kipervasser
    “Music therapy’s potential to mitigate epileptic activity in drug-resistant focal epilepsy,” in accepted for presentation at the Canadian League Against Epilepsy (CLAE) Annual Meeting, 2024.

  2. J. Thomas, C. Abdallah, K. Jaber, …, and B. Frauscher
    “Regional and experience-based disparities impact international SEEG-guided epilepsy surgery practices,” in accepted for presentation at the American Epilepsy Society (AES) Annual Meeting, 2024.

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