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Shijie Zhou
Assistant Professor
Cell, Molecular and Structural Biology Graduate Program, Chemical, Paper, and Biomedical Engineering

Shijie Zhou, Ph.D.

Contact Info

513-529-0787
Engineering Building 66 D

Dr. Zhou's Personal Website

Education

  • Ph.D., Biomedical Engineering, Dalhousie University, Halifax, NS, Canada, 2018
  • MASc., Electrical Engineering, Dalhousie University, Halifax, NS, Canada, 2012
  • MASc., Computer Engineering, Memorial University of Newfoundland, St. Johns, NL, Canada, 2009

Research Interests

  • Atrial/Ventricular mapping study
  • ECG Imaging (ECGI)
  • Body-surface Potential Mapping (BSPM)
  • ECG-Image-based Personalized Ventricular Modeling
  • Clinical Translational Research in Cardiac Electrophysiology
  • Machine learning in Cardiac Electrophysiology

Research Bio

Shijie Zhou received his Ph.D. in Biomedical Engineering from Dalhousie University (2018) under the guidance of Dr. B. Milan Horáček, where he was trained in an Integrated NSERC CREATE program in Biomedical Device Innovation. His Ph.D. dissertation focused on the localization of ventricular activation origin using patient-specific geometry based on 12-lead ECG or 120-lead body-surface potential mapping.

After receiving his Ph.D., Dr. Zhou as a clinical research fellow at QEII health center under the direction of Dr. John Sapp, supported by the Cardiac Arrhythmia Network of Canada (CANet) Post-doc Fellowship, conducted a clinical study for improving the clinical workflow of catheter ablation procedures aided by an original system developed during his Ph.D. program. After completing the clinical translational study, he worked for two years as a post-doctoral research fellow in the Department of Biomedical Engineering at Johns Hopkins University with Dr. Natalia Trayanova. His research efforts were directed toward combining function features (Clinical ECG) and structure features (Clinical Image) to build an Individual Virtual-heart Localization system. He is a proud recipient of the Heart Rhythm Society (HRS) 2019-2020 Research Fellowship (Winner of the Clinical Research Award in Honor of Mark Josephson and Hein Wellens). Prior to joining Miami, Dr. Zhou spent one year as an Assistant Research Scientist of Alliance for Cardiovascular Diagnostic and Treatment Innovation (ADVANCE) at the Johns Hopkins University in Baltimore, MD.

Dr. Zhou’s research has been selected for multiple awards, including Cardiac Electrophysiology Society Young Investigator Awards (YIA) Finalist (2017, 2021), HRS YIA Finalist (2018), CANet Travel Grant (2018, 2019), HRS Travel Grant (2019), and Finalist for the Third Annual Mark Josephson Competition in VT Symposium 2019.

Dr. Zhou is a Fellow of the Heart Rhythm Society and joined Miami University in September 2021. His present and future research focuses on developing a new generation of electrophysiological imaging techniques based on personalized 3D cardiac computational models.

Experience

  • Assistant Research Scientist, Alliance for Cardiovascular Diagnostic and Treatment Innovation (ADVANCE), Johns Hopkins University, Baltimore, MD, USA. (2020-2021)
  • Postdoctoral Fellow, Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA (2018-2020)
  • Clinical Research Fellow, Division of Cardiology, QE II Health Science Centre, Nova Scotia Health Authority, Halifax, NS, Canada 2018-2018
  • Research Assistant, Division of Cardiology, QE II Health Science Centre, Nova Scotia Health Authority, Halifax, NS, Canada 2017-2021

Grants & Fellowships

  • Heart Rhythm Society (HRS) Research Fellowship (Winner of Clinical Research Award in Honor of Mark Josephson and Hein Wellens)
    07/2019—06/2020
  • Postdoctoral Research Fellowship (Cardiac Arrhythmia Network of Canada (CANet))
    01/2018-12/2019

Honors and Awards

  • Fellow of Heart Rhythm Society (HRS)
    2021
  • Cardiac Electrophysiology Society Young Investigator Awards (YIA) – Finalist, Heart Rhythm Scientific Sessions in Boston
    2021
  • A Finalist for the Third Annual Mark Josephson Competition in VT Symposium 2019, in Philadelphia
    2019
  • Heart Rhythm Society (HRS) Travel scholarship for Heart Rhythm Scientific Sessions in San Francisco
    2019
  • Cardiac Arrhythmia Network of Canada (CANet)—CHAT Travel Award grant
    2019
  • Cardiac Arrhythmia Network of Canada (CANet)—CHAT Travel Award grant
    2018
  • Young Investigator Awards (YIA) –Finalist, Heart Rhythm Scientific Sessions in Boston
    2018
  • Cardiac Electrophysiology Society (CES) Young Investigator Awards (YIA) – Finalist, Heart Rhythm Scientific Sessions in Chicago
    2017
  • BrightRed Student Research Awards, Heart & Stroke Foundation, Canada
    2017
  • One Year Nova Scotia Research and Innovation Graduate Scholarship, Nova Scotia, Canada
    2016
  • Dalhousie Engineering Excellence Graduate Scholarship, Dalhousie University, Halifax, Canada
    2015
  • Fellowship Award for Image Based Biomedical Modeling (IBBM) Summer Course, Park City, Utah, Supported by the NIH, National Institute of General Medical Sciences (NIGMS)
    2015
  • 2nd Prize Pre-Doctoral Category Student Presentation Competition, Research Day 2015, School of Biomedical Engineering, Dalhousie University, Halifax, Canada
    2015
  • Bruce and Dorothy Rosetti Engineering Research Award, Dalhousie University, Halifax, Canada
    2014
  • Scotia Scholar Award, Nova Scotia Health Research Foundation, Canada
    2012-2014
  • Biomedical CREATE Training Program Award, Natural Sciences and Engineering Research Council of Canada (NSERC), Canada
    2012-2014
  • Bruce and Dorothy Rosetti Engineering Research Award, Dalhousie University, Halifax, Canada
    2010
  • Faculty of Graduate Studies Scholarship Award, Dalhousie University, Halifax, Canada
    2010
  • Excellent Service Award, Memorial University of Newfoundland, St. John’s, Canada
    2008

Professional Memberships

  • Heart Rhythm Society (HRS), Fellow, 2021-present
  • Heart Rhythm Society (HRS), Scientist Member, 2020-2021
  • Heart Rhythm Society (HRS), Member (Fellow in Training), 2017-2020
  • American Heart Association (AHA), Member (Early Career), 2019-present
  • Cardiac Electrophysiology Society (CES), Member, 2017-present
  • Engineers Canada (Engineers Nova Scotia), 2015-present

Principal Publications

Published in Peer Reviewed Journals

  1. Lai C*, Zhou S * (*Co-first author), Trayanova N. Optimal ECG-lead Selection Increases Generalizability of Deep Learning on ECG Abnormality Classification. Accepted in Phil. Trans. R. Soc. A. on Mar. 3 rd , 2021.
  2. Shah R, Assis F, Narasimhan B, Khachadourian V, Zhou S , Tandri H, Tariq N. Trans-nasal high-flow dehumidified air in acute migraine headaches: A randomized controlled trial. Cephalalgia. 2021; 0333102421997766.
  3. Zhou S *, Sung E*(*Co-first author), Prakosa A, Aronis KN, Chrispin J, Tandri H, AbdelWahab A, Horacek BM, Sapp JL, Trayanova NA. Feasibility study shows concordance between image-based virtual-heart ablation targets and predicted ECG-based arrhythmia exit-sites. Pacing Clin Electrophysiol. 2021; 44:432-441.
  4. Zhou S , AbdelWahab A, Sapp JL, Sung E, Aronis KN, Warren JW, MacInnis PJ, Shah R, Horacek BM, Berger RD, Tandri H, Trayanova NA, Chrispin J. Prospective Multicenter Assessment of a New Intraprocedural Automated System for Localizing Idiopathic Ventricular Arrhythmia Origins. JACC Clin Electrophysiol. 2020; 7:395-407.
  5. Sung E, Prakosa A, Aronis KN, Zhou S , Zimmerman SL, Tandri H, Nazarian S, Berger RD, Chrispin J, Trayanova NA. Personalized Digital-heart Technology for Ventricular Tachycardia Ablation Targeting in Post-infarct Hearts with Infiltrating Adiposity. Circ Arrhythm Electrophysiol. 2020; 13:e008912.
  6. Missel R, Gyawali P, Murkute J, Li Z, Zhou S , AbdelWahab A, Davis J, Warren J, Sapp JL, Wang L. A hybrid machine learning approach to localizing the origin of ventricular tachycardia using 12-lead electrocardiograms. Comput Biol Med. 2020; 126:104013.
  7. Zhou S , AbdelWahab A, Horacek BM, MacInnis PJ, Warren JW, Davis JS, Elsokkari I, Lee DC, MacIntyre CJ, Parkash R, et al. Prospective Assessment of An Automated Intraprocedural 12-lead ECG-Based System for Localization of Early Left Ventricular Activation. Circ Arrhythm Electrophysiol. 2020; 13:e008262.
  8. Zhou S , Sapp JL, Horacek BM, Warren JW, MacInnis PJ, Davis J, Elsokkari I, Choudhury R, Parkash R, Gray C, et al. Automated Intraprocedural Localization of Origin of Ventricular Activation Using Patient-Specific Computerized Tomography Imaging. Heart Rhythm. 2019; 17:567-575.
  9. Aronis KN, Ali RL, Liang JA, Zhou S , Trayanova NA. Understanding AF Mechanisms Through Computational Modeling and Simulation. Arrhythmia & Electrophysiology Review. 2019; 8:210- 219.
  10. Zhou S , Sapp JL, AbdelWahab A, Horacek BM. Localization of Ventricular Activation Origin from the 12-Lead ECG: A Comparison of Linear Regression with Non-linear Methods of Machine Learning. Ann Biomed Eng. 2019; 47:403-412.
  11. Zhou S , Sapp JL, Stovicek P, Horacek BM. Localization of Activation Origin on PatientSpecific Endocardial Surface by the Equivalent Dipole Layer (EDL) Source Model with Sparse Bayesian Learning. IEEE Trans Biomed Eng. 2019; 66:2287-2295.
  12. Zhou S , Dawoud F, Sapp JL, Horacek BM. Localization of Activation Origin on Patient-Specific Epicardial Surface by Empirical Bayesian Method. IEEE Trans Biomed Eng. 2019; 66:1380-1389.
  13. Zhou S , Horacek BM, Warren JW, AbdelWahab A, Sapp JL. Rapid 12-lead Automated Localization Method: Comparison to Electrocardiographic Imaging (ECGI) in Patient-specific Geometry. J Electrocardiol. 2018; 51:S92-S97.
  14. Zhou S , Sapp JL, AbdelWahab A, Stovicek P, Horacek BM. Localization of ventricular activation origin using patient-specific geometry: Preliminary results. J Cardiovasc Electrophysiol. 2018; 29:979-986.
  15. Sapp JL, Bar-Tal M, Howes AJ, Toma JE, El-Damaty A, Warren JW, MacInnis PJ, Zhou S , Horacek BM. Real-time localization of ventricular tachycardia origin from the 12-lead electrocardiogram. JACC Clin Electrophysiol. 2017; 3:687–699.
  16. Wang N, Ma Y, Wang W, Zhou S . An Image Fusion Method Based on NSCT and Dual channel PCNN Model. Journal of Networks. 2013; 9:501-506.

Editorials

  1. Zhou S (invited), Sapp JL, AbdelWahab A, Trayanova NA. Deep-learning Applied to Electrocardiogram Interpretation. Can J Cardiol. 2020; 37:17-18.
  2. Sapp JL (invited), Zhou S , Wang L. Mapping Ventricular Tachycardia With Electrocardiographic Imaging. Circ Arrhythm Electrophysiol. 2020; 13(2):e008255.