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Kartikeya Murari

from Silver Spring, MD
Age ~43
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Also known as:
Murari Kartikeya
Phone and address:
3405 Floral St, Silver Spring, MD 20902
Related to:
Chandrashekhar MurariDeepa Murari
Connected to:
Abhinav Murari, 39Santhanam Murari, 48Shirisha Murarishetty, 34Jennifer P Murariu, 31Haroun Murarsheed, 64Kari A Muras, 58Nasser A Muras, 58Kinuyo Murasaki, 107Anna Murase, 45Jeffrey T Murashima, 60

Kartikeya Murari Phones & Addresses

  • 3405 Floral St, Silver Spring, MD 20902
  • Wheaton, MD
  • 103 E Mount Royal Ave, Baltimore, MD 21202

Work

Company: Johns hopkins school of medicine Jun 2010 to Dec 2011 Address: Baltimore Position: Postdoctoral fellow

Education

Degree: PhD School / High School: The Johns Hopkins University School of Medicine 2004 to 2010 Specialities: Biomedical Engineering

Industries

Higher Education

Resumes

Resumes

Kartikeya Murari Photo 1

Assistant Professor At The University Of Calgary

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Location:
Calgary, Alberta, Canada
Industry:
Higher Education
Work:
Johns Hopkins School of Medicine - Baltimore Jun 2010 - Dec 2011
Postdoctoral fellow
Education:
The Johns Hopkins University School of Medicine 2004 - 2010
PhD, Biomedical Engineering The Johns Hopkins University 2002 - 2010
MSE, Biomedical Engineering Indian Institute of Technology, Madras 1998 - 2002
B.Tech, Electrical Engineering

Publications

Us Patents

Multimodal Laser Speckle Imaging

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US Patent:
20120162438, Jun 28, 2012
Filed:
Sep 7, 2010
Appl. No.:
13/394261
Inventors:
Nitish Thakor - Clarksville MD, US
Abhishek Rege - Baltimore MD, US
Nan Li - Baltimore MD, US
Kartikeya Murari - Silver Spring MD, US
Assignee:
The John Hopkins University - Baltimore MD
International Classification:
H04N 7/18
US Classification:
348161, 348E07085
Abstract:
A system for multimodal laser speckle imaging may include a first light source positioned to emit laser light toward a target, a second light source positioned to emit light toward the target, a camera positioned to receive light scattered from the target, and a processor. The processor may be programmed to receive from the at least one camera at least one image of the target as illuminated by the laser, obtain a laser speckle contrast image of the target from the at least one image of the target as illuminated by the laser, receive from the at least one camera at least one image of the target as illuminated by the second light source, divide the laser speckle contrast image into subparts, and divide the at least one image of the target as illuminated by the second light source into identical subparts, determine whether each subpart includes a feature of a certain type by combining each subpart of the laser speckle contrast image with the at least one image of the target as illuminated by the second light source and comparing the combination with one or more criteria, and outputting the location and type of features detected in a subpart of the images.
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Kartikeya Murari from Silver Spring, MD, age ~43 Get Report