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\noindent
\begin{tabular}[h]{p{2.8in}|c|p{0.75in}|l} \hline 
%    \multicolumn{4}{c}{}\\
    \multicolumn{4}{c}{\textbf{BIOGRAPHICAL SKETCH}}\\
    \multicolumn{4}{p{\columnwidth}}
    {\centering{\footnotesize Provide the following information for the
  Senior/key personnel and other significant contributors\\
  Follow this format for each person   
  \uppercase{DO NOT EXCEED FIVE PAGES}}} \\
%  \multicolumn{4}{c}{}\\ 
\hline
 \multicolumn{1}{l}{NAME:} & \multicolumn{3}{l}{\myname} \\ \hline
\multicolumn{1}{l}{eRA COMMONS USER NAME:} & 
                  \multicolumn{3}{l}{\eraname} \\ \hline
\multicolumn{1}{l}{POSITION TITLE:} & \multicolumn{3}{l}{\mytitle} \\ \hline
\multicolumn{4}{p{\columnwidth}}{ EDUCATION/TRAINING 
  (Begin with baccalaureate
  or other initial professional education, such as nursing, and include
  postdoctoral training and residency training if applicable.
  Add/delete rows as necessary.)} \\ \hline
\multicolumn{1}{c|}{ \uppercase{Institution and location}} & 
\multicolumn{1}{p{1 in}|}{\centering \uppercase{Degree} (if applicable)} & 
\multicolumn{1}{p{.75 in}|}{\centering Completion Date  MM/YYYY} & 
\multicolumn{1}{c}{\ \uppercase{Field of Study}} \\ \hline
Dalhousie University, Halifax, N.S., Canada & BSc & \centering{6/1979} & 
 Engineering Physics\\
Technische Universit\"at Graz, Graz, Austria & MSc & \centering{5/1985} & 
 Electrical Engineering \\
Dalhousie University, Halifax, N.S., Canada & Ph.D. & \centering{7/1990} & 
Physiology \& Biophysics \\
CVRTI, University of Utah, Salt Lake City, Utah & Postdoctoral & 
\centering{1/1992} & Electrophysiology \\
\hline	

\end{tabular}
\renewcommand{\arraystretch}{1.0}

\vspace{-.2in}

\subsection*{A. Personal Statement}

I have over 30 years of experience in basic and translational cardiac and
neural electrophysiology, biomedical simulation, image based modeling, and
visualization.  My approaches include human and animal experimental studies
using a wide range of technologies, especially multichannel measurement of
electrical signals, image analysis, image based modeling, and numerical
techniques for large scale computations.  For 17 years I have been the
co-director of an NIH funded Center for Integrated Biomedical Computing
(CIBC: http://www.sci.utah.edu/cibc), in which we develop open source
software for use by a range of biomedical scientists and engineers.  One
new area of my research has been the simulation of electric and magnetic
fields in the brain generated from transcranial and cortical electrodes. I
have had stable, substantial research funding for many years and I mentor a
typical cohort of 3--4 graduate students, 1--2 post doctoral fellow, 3--6
undergraduates, and several software developers. I have extensive past
experience mentoring over 20 graduate students, post doctoral fellows, and
junior faculty and am the Vice-chair and Director of Undergraduate Studies
in Bioengineering.  I also collaborate closely in neuromodulation research
with Drs. Dana Brooks, a signal processing expert from from Northeastern
University, Jeff Ojemann, a neurosurgeon from the University of Washington,
and Tonio Ball, an experimental neuroscientist from Freiburg University in
Germany.  Through the CIBC, which supports a number of ``driving biomedical
projects'' and collaborations and service projects, I have also spend the
last two years supporting clinical applications of neuromodulation with
physicians Kelly Okun and Peter Foote from the University of Florida and
Alvaro Pascual-Leone and Michael Fox from Beth Israel Deaconess Medical
Center and Harvard Medical School.

The specific approaches in this proposal match very well my own expertise
and the well established capabilities at the University of Utah.  I focus
on three aspects here. First, we have well developed strength in many forms
of imaging (at the University of Utah Small Animal Imaging Facility and the
Utah Center for Advanced Imaging Research, UCAIR).  This image acquisition
is strongly supported by computational expertise at the Scientific
Computing and Imaging (SCI) Institute, which we leverage heavily in
pursuing research and collaborative support for the CIBC.  Similarly,
within the SCI Institute and the CIBC, we support and freely distribute
specific tools for bioelectric field simulation and visualization.  My
direct role in the management of this software development and my own
research in bioelectric field simulation will be helpful for the proposed
research.  Finally, and perhaps most directly relevant, I have also guided
the development of databases that provide integrated repositories of
similar types of data to those proposed here.  The most recent of these,
called EDGAR for the ``Experimental Data and Geometric Analysis
Repository'', serves the international Consortium for ECG Imaging
(http://www.ecg-imaging.org/).  EDGAR contains a mix of images,
segmentations, geometric models, bioelectric field transform matrices
(roughly equivalent to lead fields) and multichannel bioelectric
signals. The challenges of integration are central to this project as the
data come from a dozen international labs and from simulations, animal
experiments, and patient studies.

Dr. Butson and I are also colleagues within the CIBC, the SCI Institute,
and the Bioengineering Department.  We also co-lead a regular biomedical
engineering course called ``Introduction to Image Based Modeling'' and
teach together in the separate NIH funded summer course, ``Image Based
Biomedical Modeling'', (http://ibbm.sci.utah.edu) all of which provide many
opportunities to amplify the findings of the proposed research and data
repository development.

\noindent
% Define the bib files to use (see \nocite command, below)
\bibliography{strings,biglit}
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\nocite{RSM:Mac95,RSM:Ni99,RSM:Mac2009,RSM:Ara2015a}

\subsection*{B. Positions and Honors}
\vspace{-.1in}

\noindent
\textbf{Positions and Employment}\\
\begin{tabular}[h]{lp{6.1in}}
    1980--86 & Research Assistant Professor and Computer System Manager,
    Institut f\"ur Medizinische Physik und Biophysik, Universit\"at Graz, Graz,
    Austria \\
    1986--90 & Graduate Research Assistant, Department of Physiology \&
    Biophysics, Dalhousie University, Halifax, N.S., Canada, Postdoctoral
    Research Associate, Nora Eccles Harrison Cardiovascular Research and
    Training Institute, University of Utah School of Medicine, Salt Lake
    City, Utah, 1990-1992 \\
    1992--1998 & Research Assistant Professor, Nora Eccles Harrison
    Cardiovascular Research and Training Institute, University of Utah
    School of Medicine, Salt Lake City, Utah\\
    1993--1997 & Research Assistant Professor, Department of
    Bioengineering, University of Utah, Salt Lake City, Utah \\
    1998--2003 & Assistant Professor, Department of Bioengineering,
    University of Utah, Salt Lake City, Utah \\
    2003--2012 & Tenured Associate Professor, Department of
    Bioengineering, University of Utah, Salt Lake City, Utah \\
    1999--2003 & Acting Co-Director, Cardiovascular Research and Training
    Institute, University of Utah  \\
    2003--present & Associate Director, Cardiovascular Research and Training
    Institute, University of Utah \\
    2002--present & Associate Director, Scientific Computing and Imaging
    (SCI) Institute, University of Utah \\
    2006--present & Associate Chair and Head of Undergraduate Studies,
    Dept. of Bioengineering, U of Utah \\
    2009--2015 & Co-founder and Associate Director Comprehensive
    Arrhythmia Research and Management Center \\
    2012--present & Full Professor, Department of
    Bioengineering, University of Utah, Salt Lake City, Utah \\
\end{tabular}

\noindent
\textbf{Other Experience and Professional Memberships}\\
\begin{tabular}[h]{lp{6.1in}}
1990-- & Member, IEEE Engineering in Medicine and Biology Society (EMBS) \\
1999-- & Member Biomedical Engineering Society (BMES)  \\
1999-- & International Society of Electrocardiology (ISE) \\
2002-- & ISE International Council member\\
1995-- & International Society of Computerized Electrocardiology\\
1995-- & Ad hoc NIH study section member \\
2005-- & Editorial Board, Journal of Electrocardiology\\
2008-- & Member, Heart Rhythm Society (HRS) \\
2014-- & Member of Board of Directors of Computing in Cardiology\\
\end{tabular}

% \newpage
\noindent
\textbf{Honors}\\
\begin{tabular}[h]{ll}
    1975--79 & Dalhousie University Academic Scholarships\\
    1979     & Dalhousie University Medal in Engineering Physics \\
    1980--85 & Austrian Student Union Scholarships \\
    1986--90 & Izaak Walton Killam Memorial Scholarship \\
    1987--90 & Medical Research Council of Canada Studentship \\
    1990--92 & Heart and Stroke Foundation of Canada Postdoctoral Fellowship\\
\end{tabular}

\subsection*{C. Contribution to Science}

\begin{description}
  \item[Simulation of cortical electric fields from transcranial and
    cortical electrodes] A recent, very exciting area of our research has
    been in guiding clinicians in the placement and stimulation protocol
    for extracortical neuromodulation. We have developed algorithms to
    predict fields in the brain from given electrode configurations.  More
    clinically meaningful are algorithms to guide placement of electrodes
    based on target areas in the brain.
    \begin{enumerate}
      \item S. Guler, M. Dannhauer, B. Erem, R. Macleod, D. Tucker,
        S. Turovets, P. Luu, D. Erdogmus, and D.H. Brooks.  Optimization of
        focality and direction in dense electrode array transcranial direct
        current stimulation ({tDCS}). \emph{J. Neural Eng.}, 13(3), 2016.
        
      \item D. Hyde, M. Dannhauer, S.K. Warfield, R.S. MacLeod, D.H. Brooks.
        Evaluation of Numerical Techniques for Solving the Current Injection
        Problem in Biological Tissues. \emph{2016 IEEE International Symposium
          on Biomedical Imaging}

      \item S. Guler, M. Dannhauer, B. Erem, R.S. MacLeod, D. Tucker,
        S. Turovets, P. Luu, W. Meleis, D. Erdogmus, and D. Brooks
        Approximating fully optimized dense array {tDCS} with a single current
        source. \emph{Proceedings of the Organization for Human Brain Mapping},
        2014.

      \item M. Dannhauer and D. Brooks and D. Tucker and R. MacLeod.  A
        pipeline for the simulation of transcranial direct current stimulation
        for realistic human head models using {SCIRun/BioMesh3D}. In
        \emph{Proceedings of the 2012 IEEE Int. Conf. Eng. in Med. and Biol.
          Soc. (EMBC)}, pp. 5486--5489, 2012.

    \end{enumerate}

  \item [Simulation of cardiac arrhythmias and defibrillation: ] We have
    conducted, in collaboration with physicians and other simulation
    researchers, studies based on simulation of both cardiac arrhythmias
    and the therapeutic management of their extreme forms through
    defibrillation. Our arrhythmia simulations focus on identifying the
    role of abnormal tissue substrate in supporting tachycardia and
    fibrillation. The goals of our defibrillation studies have focused on
    optimizing electrode and device placement in order to minimize energy
    needs while achieving successful defibrillation. 

    \begin{enumerate}
      \item K.S. McDowell, S.S. Zahid, F. Vadakkumpadan, J.  Blauer,
        R.S. MacLeod, and N.A. Trayanova.  Virtual Electrophysiological
        Study of Atrial Fibrillation in Fibrotic Remodeling, \emph{PLoS
          ONE},10(2), 2015.  PMCID: PMC4333565.
      \item K.S. McDowell, F. Vadakkumpadan, R. Blake, J.  Blauer,
        G. Plank, R.S. Macleod, and N.A. Trayanova.  Mechanistic inquiry
        into the role of tissue remodeling in fibrotic lesions in human
        atrial fibrillation. \emph{Biophys. J.} 104(12):2764--2773, 2013.
        PMCID: PMC3686346. 
      \item M. Jolley, J. Stinstra, J. Tate, S. Pieper, R. Macleod, L. Chu,
        P. Wang, and J.K. Triedman.  Finite element modeling of
        subcutaneous implantable defibrillator electrodes in an adult
        torso.  \emph{Heart Rhythm.} 7(5):692--698, 2010. PMCID:
        PMC3103844.
      \item B. Taccardi, B.B. Punske, E. Macchi, R.S. MacLeod,
        P.R. Ershler.  Epicardial and Intramural Excitation During
        Ventricular Pacing: Effect of Myocardial Structure. \emph{Am J
          Physiol Heart Circ Physiol} April 294(4), H1753--1766, 2008.
    \end{enumerate}

  \item [Electrocardiographic Imaging: ] I have spent my entire
    career exploring novel approaches to inverse problems in
    electrocardiography, \ie{} the estimation of cardiac electrical
    activity from body-surface ECGs.  I have pursued a wide variety of
    approaches and used both computational and experimental methods to
    develop and validate a range of approaches, and most recently have
    applied uncertainty quantification approaches to evaluate the role of
    parameter variation on the accuracy of the resulting solutions to the
    forward and inverse problems.  We have also just released a public data
    base of sample data sets for validation and comparison of inverse
    solution approaches. 
    
    \begin{enumerate}
    \item K.K. Aras, W. Good, J.D. Tate, B.M. Burton, D.H. Brooks,
      J. Coll-Font, O. Doessel, W. Schulze, D. Patyogaylo, L. Wang, P. Van
      Dam, and R.S. MacLeod.  Experimental Data and Geometric Analysis
      Repository: {EDGAR} \emph{J Electrocardiol.} 48(6):975-81,
      2015. PMCID: PMC4624576.
      
    \item M. Milanic and V. Jazbinsek and R.S. MacLeod and D.H. Brooks
      and R. Hren. Assessment of regularization techniques for
      electrocardiographic imaging in \emph{J Electrocardiol}
      47(1):20--28, 2014. PMCID: PMC4154607.
      
    \item D. Wang, R.M. Kirby, R.S. MacLeod, and C.R. Johnson. Inverse
      electrocardiographic source localization of ischemia: An
      optimization framework and finite element
      solution. \emph{J. Comp. Phys.}  250:403--424, 2013.  PMCID:
      PMC3727301
      
    \item D.J. Swenson, S.E. Geneser, J.G. Stinstra, R.M. Kirby, and
      R.S. MacLeod. Cardiac Position Sensitivity Study in the
      Electrocardiographic Forward Problem Using Stochastic Collocation
      and BEM. \emph{Ann. Biomed. Eng.}, 39(12):2900--2910, 2011. PMCID:
        PMC3362042.

    \end{enumerate}

  \item [Image based biomedical modeling:] This research direction stemmed
    from the recognition of the absence of tools for conducting patient
    specific, imaged based modeling and simulation of physiology.  To
    extend and make openly available the tools we have developed for the
    purpose, we have received NIH support since 1999 and now release a
    complete pipeline of software for image based modeling and simulation.
    We conduct courses each year (some under separate NIH funding) and have
    identified over 300 publications from researchers who use our software
    and techniques for their research.

    \begin{enumerate}
      \item J. Blauer, D.J. Swenson, K. Higuchi, G. Plank, R. Ranjan,
        N. Marrouche, and R.S. MacLeod. Sensitivity and Specificity of
        Substrate Mapping: an in silico Framework for the Evaluation of
        Electroanatomical Substrate Mapping Strategies in
        \emph{J. Cardiovasc. Electrophys.} 25(7): 774--780, 2014.  PMCID:
        PMC4107007. 
      \item B.M. Isaacson, J.G. Stinstra, R.D. Bloebaum, COL P.F. Pasquina,
        and R.S. MacLeod. Establishing Multiscale Models for Simulating
        Whole Limb Estimates of Electric Fields for Osseointegrated
        Implants.  \emph{IEEE Trans. Biomed. Eng.} Oct;58(10):2991--4,
        2011.  PMCID: PMC3179554. 
      \item R.S. MacLeod, J.G. Stinstra, S. Lew, R.T.  Whitaker,
        D.J. Swenson, M.J. Cole, J. Kruger, D.H. Brooks, and
        C.R. Johnson. "Subject-specific, multiscale simulation of
        electrophysiology: a software pipeline for image-based models and
        application examples.  \emph{Phil. Trans.  Royal Soc.}
        367(1896):2293--2310, 2009. PMCID: PMC2696107.
      \item S.E. Geneser, R.M. Kirby, and R.S. MacLeod. Application of
        Stochastic Finite Element Methods to Study the Sensitivity of ECG
        Forward Modeling to Organ Conductivity, In \emph{IEEE Transactions
          on Biomedical Engineering}, 55(1):31--40, 2008.  
    \end{enumerate}

  % \item [Electrocardiology of acute ischemia:] Myocardial ischemia remains
  %   a leading cause of mortality and morbidity and has been a physiological
  %   focus of my research career.  We have applied inverse
  %   electrocardiography (ECG Imaging) to identify and localize ischemia in
  %   humans; we have carried out animal research studies to characterize
  %   the electrical changes induced by ischemia at the tissue and whole
  %   heart scale; we have proposed novel concepts of the location of acute
  %   ischemia and its evolution over time that contradict long held
  %   beliefs. 
  %   \begin{enumerate}
  %     \item K. Aras, B. Burton, D. Swenson, and R. MacLeod, Sensitivity of
  %       epicardial electrical markers to acute ischemia detection.
  %       \emph{J. Electrocardiol.} 47(6): 836-41, 2014.  PMCID: PMC4252649.
  %     \item S, Shome, R.L. Lux, B.B. Punske, and R.S. MacLeod.  Ischemic
  %       preconditioning protects against arrhythmogenesis through
  %       maintenance of both active as well as passive electrical properties
  %       in ischemic canine hearts. \emph{J Electrocardiol.} 40(6):S150-9,
  %       2007.
  %     \item Shibaji Shome and Rob MacLeod. Characterization of the
  %       transmural myocardial electrocardiographic response in in vivo
  %       canine working hearts under reduced flow and increased heart rate
  %       \emph{J Electrocardiol.}  40(4):S5-6, 2007.
  %     \item J.G. Stinstra, S. Shome, B. Hopenfeld, R.S. MacLeod. Modeling
  %       the passive cardiac conductivity during
  %       ischemia. \emph{Med. Biol. Eng.  Comput.} 43(6): 776-782, 2005.
  %   \end{enumerate}

  \item [Image and signal analysis for cardiac arrhythmias:] MRI imaging
    approaches have made enormous progress in evaluating the substrate
    changes that arise in patients suffering from cardiac arrhythmias. We
    have developed novel approaches to analyze cardiac MRI in patients with
    atrial fibrillation, including the ability to predict treatment outcome
    and thus guide clinical management of this very common arrhythmia.
    Ongoing studies are expanding these capabilities to evaluate the
    effectiveness of ablation strategies and determine the mechanistic
    relationships between tissue pathology and the nature of the resulting
    arrhythmias.

    \begin{enumerate}
      \item N. Angel, L. Li, R.S. MacLeod, N. Marrouche, R. Ranjan, and
        D. Dosdall. Diverse Fibrosis Architecture and Premature Stimulation
        Facilitate Initiation of Reentrant Activity Following Chronic
        Atrial Fibrillation. \emph{J Cardiovasc. Electrophys.},
        26(12):1352-60. 2015.  PMC: PMC4729779.

      \item B.R. Parmar, T.R. Jarrett, N.S. Burgon, E.G. Kholmovski,
        N.W. Akoum, N. Hu, R.S. MacLeod, N.F. Marrouche, and
        R. Ranjan. Comparison of Left Atrial Area Marked Ablated in
        Electroanatomical Maps with Scar in MRI \emph{J
          Cardiovasc. Electrophys.} 25(5):457--463, 2014. PMCID:
        PMC4090328.

      \item C. McGann, N. Akoum, A. Patel, E.  Kholmovski, P. Revelo,
        K. Damal, B. Wilson, J.  Cates, A. Harrison, R. Ranjan,
        N.S. Burgon, T. Greene, D. Kim, E.V.R. DiBella, D. Parker,
        R.S. MacLeod, and N.F. Marrouche.  Atrial Fibrillation Ablation
        Outcome Is Predicted by Left Atrial Remodeling on MRI. \emph{Circ A
          \& E}, Feb 1;7(1):23-30, 2014.  PMCID: PMC4086672.
      
      \item N. Akoum; C. McGann; G. Vergara; T. Badger; R. Ranjan;
        C. Mahnkopf; E. Kholmovski, R.S. MacLeod and N.F.
        Marrouche. Atrial Fibrosis Quantified Using Late Gadolinium
        Enhancement MRI is Associated with Sinus Node Dysfunction Requiring
        Pacemaker Implant. \emph{J. Cardiovasc. Electrophys.} 23(1):44-50,
        2012.  PMCID: PMC4465539.

    \end{enumerate}

  % \item[List of Published Work:] To see a full list of my publications,
  %   please visit the Google Scholar site \url{https://scholar.google.com/citations?user=seAo310AAAAJ&hl=en}.

\end{description}

\vspace{-.2in}
\subsection*{D. Research Support}


\subsubsection*{Ongoing Research Support}

\noindent
\parbox{\columnwidth}{
2 P41 RR12553 (Johnson, MacLeod, Whitaker) Date: 9/1/15--4/30/2020\\
NIH/NCRR Center for Integrated Biomedical Computation\\
Role: Co-PI \\
This Center is national research resource (P-41) that has existed since
1999. The goals of the current edition are to address biomedical research
problems in bioelectric fields, imaged-based anatomy, multi-scale tissue
modeling and simulation, and scientific visualization. We will accomplish
these goals by creating state-of-the- art computational techniques and
innovative, well-engineered software, which, in combination with and freely
distributed to the science community, will significantly advance biomedical
computing research.}


\medskip

\noindent
\parbox{\columnwidth}{
  NSF (Ojemann and Ball) Date 9/1/2015--8/31/2018\\
  Collaborative Research: US-German Research Proposal: Optimization of
  Human
  Cortical Stimulation \\
  Role: Subcontact PI\\
  In this Collaborative US-German project, we seek to apply experimental
  and simulation approaches to improve cortical stimulation of the brain.
  1. Optimization of electrode design for delivery to deeper cortical
  layers including cortex in the sulci. 2. Validation of electrode models
  in animal studies of microstimulation. 3.  Confirmation of modeling in
  human studies.}



\noindent
\parbox{\columnwidth}{
  British Heart Foundation PG/15/8/31130 (Aslanidi) Date:
  5/1/2015--4/30/2018\\ 
  Dissecting multifactorial mechanisms of atrial fibrillation: Predictive
  modelling framework for evaluating medical treatments \\
  Role: Co-Investigator with Dr. Ravi Ranjan \\
  This project will investigate AF genesis and treatments using in silico
  3D canine atria models validated by canine experimental models of AF.
% The
%  3D atria models will integrate major structural and functional factors
%  associated with AF − fibrosis, innervation and electrical
%  remodelling. They will be applied to dissect (i) multifactorial
%  mechanisms of electrical activations sustaining AF, (ii) typical
%  locations of electrical drivers during AF progression, and (iii) optimal
%  drug and ablation treatments that can terminate various AF
 % scenarios. 
  Model predictions will be applied for evaluating key factors underlying
  successful treatments in two retrospective cohorts of AF patients. Hence,
  the genesis of predictive models in silico will assist in evaluating
  medical strategies.}


\medskip

\noindent
\parbox{\columnwidth}{
No ID Number (MacLeod)  Date: 7/1/13--6/30/17\\
Nora Eccles Treadwell Foundation \\
Role: PI\\
Title: Electrocardiographic Characterization of Myocardial Ischemia \\
The overarching goal of this research is to recognize and diagnose all
forms of myocardial ischemia using the ECG.  
%The overarching hypothesis of
%this project is that current electrocardiographic descriptions of
%myocardial ischemia are incomplete and that, as a result, the clinical
%interpretation of the electrocardiogram fails to achieve its potential as a
%diagnostic and monitoring approach.  
We seek, through measurements, experiments, and simulations to achieve the
most complete understanding possible of the full spectrum of ischemia in
terms of its bioelectric source, its electrical interaction with
surrounding tissues, and its reflection on the body surface.}

\medskip

\noindent
\parbox{\columnwidth}{
  R25GM107009-01 (MacLeod, Weiss, Whitaker)  Date: 7/1/2013--6/30/2018\\
  Image Based Modeling, Simulation, and Visualization
  Summer Course for Biomedical Researchers\\
  Role: Co-PI\\
  The goal of this proposed program is to expand the scope of current
  Center for Integrative Biomedical Computing (CIBC) and Muskuloskeletal
  Research Lab (MRL) training to create a dedicated two-week course in the
  area of image based modeling and simulation applied to bioelectricity and
  biomechanics.}

\medskip

\noindent
\parbox{\columnwidth}{
  R25GM107009-01 (Aylward, Cates)  Date: 7/1/2013--6/30/2017\\
  WEB-Based Infrastructure for Comparison and
  Validation of Image Computing Methods\\
  Role: Co-Investigator\\
  The goal of this project is to develop the infrastructure for and deploy
  a commercial installation of an Algorithm Evaluation Service (AES) to
  help bridge the gap between algorithm researchers and commercial product
  developers. 
%We will  support a novel
%  mechanism for algorithm submission based on virtual machine technology
%  that addresses clinical integration, security, and computational resource
%  scalability to support extensive testing. We will  make
%  the submission of algorithms to  challenges an inherent and effortless
%  part of algorithm development for researchers. We will validate
% the resulting system using additional grand challenges, and we will
%  deliver it to and receive feedback from our first commercial customer as
%  part of the proposed work.
}

\medskip

\noindent
\parbox{\columnwidth}{
DP1HL123271 (Trayanova) Date: 8/1/2015-7/31/2017\\
Virtual Electrophysiology Laboratory\\
Role: Subcontract PI\\
The goal of this subcontract is to serve as the clinical testing site for
the use of image based simulation to identify arrhythmogenic substrate in
patients suffering from post myocardial infarction ventricular
tachycardia. We collaborate closely with the Trayanova lab and will provide
MRI images and segmentations of the heart geometry, then attempt to carry
out simulation guided ablation therapy on these subjects.}


\subsubsection*{Recently Completed Research Support}

\noindent
\parbox{\columnwidth}{
2 P41 RR12553 (Johnson) Date: 9/1/2010--8/30/2015\\
NIH/NCRR Center for Integrated Biomedical Computation\\
Role: Co-Investigator and Center Co-director \\
}

\medskip

\noindent
\parbox{\columnwidth}{
U54E B005149-06 (Kikinis)  Date: 10/1/10--9/30/14\\
NIH/Roadmap Initiative National Alliance for Medical Image Computing: DBP
Atrial Fibrillation\\
Role: Co-Investigator and DBP PI\\
}


\end{document}
