Nathan Riek

Nathan Riek

(Pronouns: He/Him/His)
  • Post Doctoral Associate

Education

  • PhD in Electrical and Computer Engineering, 2025. University of Pittsburgh. Pittsburgh, PA
  • BS in Electrical Engineering, 2020. University of Pittsburgh. Pittsburgh, PA

Awards

Jos Willems Early Career Investigator Competition Winner
ISCE, 2024

Presentations

Hybrid model for forecasting atrial fibrillation from normal ECG signal
ISCE Conference, ISCE, 2025
Bardolino, Italy

Saliency maps to enhance explainability of occlusion myocardial infarction classification among pre-hospital chest pain patients
ISCE Conference, ISCE, 2024
Braselton, Georgia

Predicting recovery from coma following cardiac arrest with a reduced set of EEG channels
Computing in Cardiology, CinC, 2023
Atlanta, Georgia

Robust estimation of ST segment amplitude: Revisiting the logic of automated ECG interpretation systems for STEMI classification
ISCE Conference, ISCE, 2023
Indian Wells, California

Publications

  • Gokhale, T.A., Riek, N.T., Medoff, B., Ji, R.Q., Rivera-Lebron, B., Sejdic, E., Akcakaya, M., Saba, S.F., Al-Zaiti, S. & Toma, C. (2025). Artificial intelligence-driven electrocardiogram analysis for risk stratification in pulmonary embolism. European Heart Journal - Digital Health. DOI: 10.1093/ehjdh/ztaf083

  • Helman, S.M., Riek, N.T., Sereika, S.M., Tafti, A.P., Olsen, R., Gaynor, J.W., Lisanti, A.J. & Al-Zaiti, S.S. (2025). Exploring Novel Data-Driven Clustering Methods for Uncovering Patterns in Longitudinal Neonatal Postoperative Temperature Measurements. Mayo Clinic Proceedings: Digital Health. DOI: 10.1016/j.mcpdig.2025.100270

  • Ji, R.Q., Riek, N.T., Bouzid, Z., Kraevsky-Phillips, K., Gokhale, T., Zègre-Hemsey, J.K., Clermont, G., Saba, S., Martin-Gill, C., Callaway, C.W. & Akcakaya, M. (2025). Adversarial Debiasing for Equitable and Fair Detection of Acute Coronary Syndrome using 12-Lead ECG. IEEE Transactions on Biomedical Engineering. PMID: 40788801 DOI: 10.1109/TBME.2025.3597527

  • Riek, N.T., Akcakaya, M., Bouzid, Z., Gokhale, T., Helman, S., Kraevsky-Philips, K., Ji, R.Q., Sejdic, E., Zègre-Hemsey, J.K., Martin-Gill, C. & Callaway, C.W. (2025). ECG-SMART-NET: A Deep Learning Architecture for Precise ECG Diagnosis of Occlusion Myocardial Infarction. IEEE Transactions on Biomedical Engineering. PMID: 40418608 DOI: 10.1109/TBME.2025.3573581

  • Bouzid, Z., Sejdic, E., Martin-Gill, C., Faramand, Z., Frisch, S., Alrawashdeh, M., Helman, S., Gokhale, T.A., Riek, N.T., Kraevsky-Phillips, K. & Gregg, R.E. (2025). Electrocardiogram-based machine learning for risk stratification of patients with suspected acute coronary syndrome. European Heart Journal. PMID: 39804231 PMCID: PMC11887543 DOI: 10.1093/eurheartj/ehae880

  • Riek, N.T., Gokhale, T.A., Martin-Gill, C., Kraevsky-Philips, K., Zègre-Hemsey, J.K., Saba, S., Callaway, C.W., Akcakaya, M. & Al-Zaiti, S.S. (2024). Clinical usability of deep learning-based saliency maps for occlusion myocardial infarction identification from the prehospital 12-Lead electrocardiogram. Journal of Electrocardiology. PMID: 39255653 PMCID: PMC11899406 DOI: 10.1016/j.jelectrocard.2024.153792

  • Riek, N.T., Elmer, J., Al-Zaiti, S. & Akcakaya, M. (2023). Predicting Recovery from Coma Following Cardiac Arrest with a Reduced Set of EEG Channels. Computing in Cardiology Conference (CinC). DOI: 10.22489/cinc.2023.044

  • Riek, N.T., Susam, B.T., Hudac, C.M., Conner, C.M., Akcakaya, M., Yun, J., White, S.W., Mazefsky, C.A. & Gable, P.A. (2023). Feedback Related Negativity Amplitude is Greatest Following Deceptive Feedback in Autistic Adolescents. Journal of Autism and Developmental Disorders. PMID: 37393370 DOI: 10.1007/s10803-023-06038-y

  • Al-Zaiti, S.S., Martin-Gill, C., Zègre-Hemsey, J.K., Bouzid, Z., Faramand, Z., Alrawashdeh, M.O., Gregg, R.E., Helman, S., Riek, N.T., Kraevsky-Phillips, K. & Clermont, G. (2023). Machine learning for ECG diagnosis and risk stratification of occlusion myocardial infarction. Nature Medicine. PMID: 37386246 PMCID: PMC10353937 DOI: 10.1038/s41591-023-02396-3

  • Riek, N.T., So, S., Akcakaya, M. & Yun, M. (2022). Selection of Classifiers to Enhance Efficacy of Metal/Organic Hybrid Sensor Array for VOC and Toxic Gas Identification. IEEE Sensors Journal. DOI: 10.1109/JSEN.2022.3198014

  • Riek, N.T., Susam, B.T., Beck, K., Eldeeb, Hudac, C.M. & Gable, P.A. (2022). Quantitative EEG Changes in Youth With ASD Following Brief Mindfulness Meditation Exercise. IEEE Transactions on Neural Systems and Rehabilitation Engineering. PMID: 35976834 PMCID: PMC9979338 DOI: 10.1109/TNSRE.2022.3199151

  • Susam, B.T., Riek, N.T., Akcakaya, M., Xu, X., De Sa, V.R., Nezamfar, H., Diaz, D., Craig, K.D., Goodwin, M.S. & Huang, J.S. (2022). Automated Pain Assessment in Children Using Electrodermal Activity and Video Data Fusion via Machine Learning. IEEE Transactions on Biomedical Engineering, 69 (1), 422-431. PMID: 34242161 DOI: 10.1109/TBME.2021.3096137

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