
- Office: HWH 2W127
- Email: 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
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
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