Craig S. Henriquez, Professor  

Craig S. Henriquez

Dr. Henriquez is also a Professor of Computer Science and Co-Director of the Center for Neuroengineering. Henriquez's research interests include large scale computing, heart modeling, and brain modeling.

A breakdown of the normal electrical activation sequence of the heart can sometimes lead to a state of ventricular fibrillation in which the heart ceases to function as an effective pump. Abnormal rhythms or arrhythmias often result after an episode of ischemia (a localized reduction of blood flow to the heart itself) which affects both the ionic processes necessary to elicit an impulse and the passive electrical properties of the tissue. Identifying the complex mechanisms of arrhythmogenesis will require experimentation as well as mathematical and computer models.

Current projects include the application of the bidomain model to diseased tissue to investigate how changes in tissue structure (both natural and diseased induced) and changes in ionic current flow influences the nature of conduction and the onset of arrhythmia.

Dr. Henriquez's group is also interested in developing realistic models that will enable investigators to better interpret electrophysiological measurements made in the clinic. For example, activation maps at the surface of the heart are typically constructed based on the detection of specific features of the surface extracellular recordings. However, for complex activation, such as might arise during an arrhythmia, the features are difficult to distinguish.

The use of models that simulate both activation and the resulting extracellular potential and the application of signal processing techniques can lead to a tool for constructing more meaningful maps from experimental recordings during abnormal conduction. This works involves direct interaction with experimental research performed in the Experimental Electrophysiology Laboratory under the direction of Dr. Patrick Wolf and the Cardiac Electrophysiology & Tissue Engineering lab under the direction of Dr. Nenad Bursac.

Contact Info:
Office Location:  136 Hudson Eng Ctr
Office Phone:  (919) 660-5168, (919) 660-5171
Email Address:   send me a message
Web Page:


Ph.D., Duke University, 1988
B.S., Duke University, 1981
Research Interests:

Henriquez's research interests include large scale computing, heart modeling, and brain modeling.


Heart, Electrophysiology
Computational Biology
Neural Prosthesis
Awards, Honors, and Distinctions

Fellows, American Institute for Medical and Biological Engineering
Teaching (Fall 2017):

    Hudson 212, WF 11:45 AM-01:00 PM
Teaching (Spring 2018):

    Hudson 125, TuTh 08:30 AM-09:45 AM
    FITZPATRK 1392, W 04:40 PM-07:40 PM
Recent Publications   (More Publications)

  1. Gokhale, TA; Medvescek, E; Henriquez, CS, Modeling dynamics in diseased cardiac tissue: Impact of model choice., Chaos, vol. 27 no. 9 (September, 2017), pp. 093909 [doi]  [abs].
  2. Gokhale, TA; Kim, JM; Kirkton, RD; Bursac, N; Henriquez, CS, Modeling an Excitable Biosynthetic Tissue with Inherent Variability for Paired Computational-Experimental Studies., PLoS computational biology, vol. 13 no. 1 (January, 2017), pp. e1005342 [doi]  [abs].
  3. Zhang, X; Foderaro, G; Henriquez, C; Ferrari, S, A Scalable Weight-Free Learning Algorithm for Regulatory Control of Cell Activity in Spiking Neuronal Networks., International Journal of Neural Systems (December, 2016), pp. 1750015 [doi]  [abs].
  4. Gokhale, TA; Medvescek, E; Henriquez, CS, Continuous models fail to capture details of reentry in fibrotic myocardium, Computing in cardiology, vol. 43 (March, 2016), pp. 1-4  [abs].
  5. Ying, W; Henriquez, CS, Adaptive Mesh Refinement and Adaptive Time Integration for Electrical Wave Propagation on the Purkinje System., BioMed Research International, vol. 2015 (January, 2015), pp. 137482 [doi]  [abs].