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Vida Kianzad

from Waban, MA
Age ~50
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Also known as:
Vida Nezafat, Kianzad Vida
Phone and address:
1558 Beacon St, Newton, MA 02468
(617) 527-2575
Related to:
Reza Kianzad, 85
Connected to:
Areti Kiara, 49Vasseghi Kiarash, 57Anthony N Kiarie, 31Elizabeth N Kiarie, 48Rose W Kiarie, 53Laurie K Kiaser, 68Walter A Kiauol, 60James A Kiawu, 96Zoekoyeh K Kiawu, 37Stephen G Kiba, 67

Vida Kianzad Phones & Addresses

  • 1558 Beacon St, Waban, MA 02468 (617) 527-2575
  • 55 Lothrop St, Newtonville, MA 02460 (617) 527-2575
  • 5301 Westbard Ave, Bethesda, MD 20816 (301) 652-1084
  • 147 Westway, Greenbelt, MD 20770 (301) 446-3637
  • Hyattsville, MD

Work

Company: Carbonite Jun 2016 to Nov 2017 Position: Principal software engineer

Education

School / High School: Massachusetts Institute of Technology 2016

Skills

Software Engineering • Algorithms • C++ • Software Development • C • Embedded Systems • Python • Linux • Matlab • Machine Learning • Perl • Simulations • Distributed Systems • Software Design • Image Processing • Programming • Labview • Latex • Signal Processing • Digital Signal Processors • Simulink • Mathematical Modeling

Languages

Persian • English

Ranks

Certificate: Professional Scrum Master I (Psm I)

Industries

Computer Software

Resumes

Resumes

Vida Kianzad Photo 1

Manager, It Applications

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Location:
1558 Beacon St, Waban, MA 02468
Industry:
Computer Software
Work:
Carbonite Jun 2016 - Nov 2017
Principal Software Engineer
Carbonite Jun 2016 - Nov 2017
Manager, It Applications
Carbonite Mar 2014 - Jun 2016
Senior Software Engineer
Mh Best Advisors Jan 2014 - May 2015
Software Consultant
Carbonite Sep 2011 - Mar 2014
Software Engineer
Education:
Massachusetts Institute of Technology 2016
University of Maryland 2000 - 2006
Doctorates, Doctor of Philosophy, Computer Engineering, Philosophy Farzanegan High School (Nodet)
University of Tehran
Bachelors, Computer Engineering
Skills:
Software Engineering
Algorithms
C++
Software Development
C
Embedded Systems
Python
Linux
Matlab
Machine Learning
Perl
Simulations
Distributed Systems
Software Design
Image Processing
Programming
Labview
Latex
Signal Processing
Digital Signal Processors
Simulink
Mathematical Modeling
Languages:
Persian
English
Certifications:
Professional Scrum Master I (Psm I)

Publications

Us Patents

System And Method For Unsupervised Detection And Gleason Grading Of Prostate Cancer Whole Mounts Using Nir Fluorscence

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US Patent:
20090161928, Jun 25, 2009
Filed:
Dec 2, 2008
Appl. No.:
12/326135
Inventors:
Ali Khamene - Princeton NJ, US
Tina Ehtiati - Baltimore MD, US
John V. Frangioni - Wayland MA, US
Vida Kianzad - Newton MA, US
Fred S. Azar - Princeton NJ, US
Assignee:
Siemens Corporate Research, Inc. - Princeton NJ
International Classification:
G06K 9/00
US Classification:
382128
Abstract:
A method for unsupervised classification of histological images of prostatic tissue includes providing histological image data obtained from a slide simultaneously co-stained with NIR fluorescent and Hematoxylin-and-Eosin (H&E) stains, segmenting prostate gland units in the image data, forming feature vectors by computing discriminating attributes of the segmented gland units, and using the feature vectors to train a multi-class classifier, where the classifier classifies prostatic tissue into benign, prostatic intraepithelial neoplasia (PIN), and Gleason scale adenocarcinoma grades 1 to 5 categories.
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Vida Kianzad from Waban, MA, age ~50 Get Report