PhD candidate in Electrical Engineering with 7+ years’ experience in medical imaging and signal processing :

Specialized in developing novel compressed sensing based methods for reconstructing good quality images from highly under-sampled magnetic resonance imaging (MRI) data

Adept at applying signal processing, image processing theories to solve image reconstruction problems: developed 3 novel compressed sensing methods for cardiac imaging to improve reconstruction speed and image quality

Developed reconstruction algorithms for 2D dynamic contrast enhanced (DCE) cardiac perfusion imaging and 3D late gadolinium enhanced (LGE) imaging of the left atrium (LA) that were ~ 5-20 times faster than the current standard

Collaborated with clinical and engineering research teams to streamline reconstruction pipeline

Skilled at translating complex concepts to diverse audiences: from patent attorneys to clinicians

EDUCATION PhD Electrical and Computer Engineering, University of Utah, Salt Lake City, UT Oct 2015 MS Electrical and Computer Engineering, University of Utah, Salt Lake City, UT Aug 2011

BS Electronics and Communication Engineering (First class with Distinction) Dec 2008 Anna University, Chennai, Tamil Nadu, India

EXPERIENCE Graduate Research Assistant, Scientific Computing and Imaging Institute (SCI), Aug 2008-Present University of Utah, Advisor: Dr. Tolga Tasdizen

Graduate Research Assistant, UCAIR, Department of Radiology, University of Utah Aug 2008-Present Advisor: Dr. Edward DiBella

Developed rapid reconstruction algorithms for dynamic contrast enhanced (DCE) cardiac perfusion imaging for on-scanner reconstructions. Funded by top MR imaging company for clinical application.

Developed novel reconstruction algorithm for 3D late gadolinium enhanced (LGE) imaging of the left atrium (LA) that could reduce the scan time of the currently used clinical method by half. The reconstruction algorithm developed in MATLAB was over 20 times faster than the standard method and has potential for use in routine clinical setting.

Designed and developed a rapid reconstruction algorithm for multicoil reconstruction of DCE cardiac perfusion imaging. The reconstruction algorithm developed was over 5 times faster than the standard method.

SPECIALIZED SKILLS

Image Reconstruction • Distributed Optimization • Image Processing • Signal Processing • Medical Imaging Compressed Sensing • MRI • Cardiac Imaging • Estimation Theory • Non-parametric methods • Matlab

SELECTED PUBLICATIONS

Kamesh Iyer S, DiBella E, Tasdizen T. Edge enhanced spatio-temporal constrained reconstruction of undersampled dynamic contrast enhanced radial MRI. IEEE ISBI 2010.

Kamesh Iyer S, Tasdizen T, DiBella E. Edge-enhanced spatiotemporal constrained reconstruction of undersampled dynamic contrast-enhanced radial MRI. Magnetic Resonance Imaging. 2012;30(5):610-9. PMCID: 3593596.

Kamesh Iyer S, Tasdizen T, Burgon N, Marrouche N and DiBella E. Compressed sensing for rapid late gadolinium enhanced imaging of the left atrium. Magnetic Resonance Imaging (Accepted with major revisions).

VOLUNTEER/LEADERSHIP ACTIVITIES

Volunteer soccer coach for middle school-kids in West Valley City, Utah March 2009 – Oct 2011

Secretary, Mathematics club, St.Joseph’s College of Engineering, Chennai, India May 2005 -Aug 2008

Helped plan and conduct the college Mathematics Symposium for three consecutive years. Won awards in several state and national level intercollegiate mathematical symposiums.

Srikant Kamesh Iyer

kameshiyer.srikant@gmail.com 385.234.0440

1243 Alameda Ave, #42, Salt Lake City 84102 www.linkedin.com/in/srikantkameshiyer

COMPLETE LIST OF PUBLICATIONS

Kamesh Iyer S, DiBella E, Tasdizen T. Edge enhanced spatio-temporal constrained reconstruction of undersampled dynamic contrast enhanced radial MRI. Biomedical Imaging: From Nano to Macro, 2010 IEEE International Symposium on Biomedical Imaging (ISBI); 2010 14-17 April 2010.

Kamesh Iyer S, Tasdizen T, DiBella E. Edge-enhanced spatiotemporal constrained reconstruction of undersampled dynamic contrast-enhanced radial MRI. Magnetic Resonance Imaging. 2012;30(5):610-9. PMCID: 3593596.

Kamesh Iyer S, Tasdizen T, Adluru G and DiBella E. A Block Reordering Technique in a Compressed Sensing Framework, ISMRM 2012.

DiBella EVR, Kamesh Iyer S, Adluru G, Martin B, Likhite D, McGann CJ, Harrison A. Comparison of Quantitative Myocardial Perfusion from Self-gated and Gated Acquisitions, ISMRM 2012.

Kamesh Iyer S, T Tasdizen, N Burgon, G Adluru and DiBella E. Fast Reconstruction of 3D LGE Images of the Left Atrium in a Compressed Sensing Framework using Split Bregman, ISMRM 2013.

Likhite D, Adluru G, Kamesh Iyer S, and DiBella E.Quantification of myocardial perfusion: A study of the number of readouts required for a radial acquisition with TV-constrained reconstruction, ISMRM 2014.

Kamesh Iyer S, Tasdizen T, Adluru G and DiBella E. Fast Multicoil Total Variation Reconstruction of Cardiac Perfusion Images, ISMRM 2015.

Erb KC, Adluru G, Kamesh Iyer S, Likhite D, Roberts J and DiBella E. Comparison of Pre-reconstruction Interpolation Methods for Rapid Compressed Sensing Reconstruction of Non-Cartesian k-Space, ISMRM 2015.

Kamesh Iyer S, Tasdizen T, Burgon N, Marrouche N and DiBella E. Compressed sensing for rapid late gadolinium enhanced imaging of the left atrium: A preliminary study. Magnetic Resonance Imaging (Accepted with major revisions).

Kamesh Iyer S, Tasdizen T and DiBella E. Split bregman Multicoil Accelerated Reconstruction Technique (SMART): A new framework for rapid reconstruction of DCE cardiac perfusion images. Submitted to Medical Physics.