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

Jos Willems Early Career Investigator Competition Winner

ISCE, 2024

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

Riek, N.T., Gokhale, T.A., Akcakaya, M. and Al-Zaiti, S.S (2025). Using large language models for ECG rhythm interpretation: Pitfalls, limitations, and future opportunities. Heart & Lung. DOI: 10.1016/j.hrtlng.2025.10.003

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

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

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