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Stefan E Atev

age ~44

from Bethesda, MD

Also known as:
  • Stesan E Atez

Stefan Atev Phones & Addresses

  • Bethesda, MD
  • Minneapolis, MN
  • Saint Paul, MN
  • Cambridge, MA
  • Decorah, IA

Work

  • Company:
    Vital images
    Mar 2010
  • Position:
    Senior scientist, algorithm development

Education

  • Degree:
    Ph.D.
  • School / High School:
    University of Minnesota-Twin Cities
    2007 to 2011
  • Specialities:
    Computer Science

Skills

Algorithms • Computer Science • Machine Learning • Image Processing • Computer Vision • Matlab • C++ • Artificial Intelligence • Software Engineering • Research • Numerical Analysis • Linux • Software Development • Programming • Optimizations • Optimization • Perl

Languages

English • Bulgarian

Industries

Computer Software

Us Patents

  • Synthetic Visualization And Quantification Of Perfusion-Related Tissue Viability

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  • US Patent:
    20130131507, May 23, 2013
  • Filed:
    Nov 23, 2011
  • Appl. No.:
    13/304103
  • Inventors:
    Bennett W. Jackson - Minneapolis MN, US
    Stefan E. Atev - Minneapolis MN, US
  • International Classification:
    A61B 6/03
  • US Classification:
    600431
  • Abstract:
    A computing system and method for generating, displaying and manipulating synthetic 2D and 3D brain tissue viability images and associated metrics from multiple perfusion maps derived from CT or other imaging system input image datasets. Stored linguistic tissue classification rules characterizing infarct, ischemic and/or normal or other tissue classes as a function of one or more perfusion parameters are used. The perfusion maps are normalized to normal brain tissue regions. Elements of the input image dataset are classified into one of the tissue classes as a function of the normalized perfusion maps and the classification rules. The classification includes ranking each of the plurality of tissue classes for elements of the input image dataset, and assigning one of the classes to elements of the dataset as a function of the ranks.
  • Methods And Systems For Selection Of Manufacturing Orientation Using Machine Learning

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  • US Patent:
    20220390918, Dec 8, 2022
  • Filed:
    Jun 7, 2021
  • Appl. No.:
    17/340352
  • Inventors:
    - Maple Plain MN, US
    Stefan Emilov Atev - Bethesda MD, US
  • Assignee:
    PROTOLABS, INC. - MAPLE PLAIN MN
  • International Classification:
    G05B 19/19
    G06N 20/00
    G06N 5/04
    G05B 19/4097
    G05B 13/02
  • Abstract:
    Aspects relate to methods and systems for manufacturing orientation selection, using machine learning. An exemplary method includes receiving, using a computing device, a computer model representative of a part for manufacture, inputting, using the computing device, the computer model to a machine learning model, determining, using the computing device, a plurality of candidate orientations as a function of the machine learning model and the computer model, and ranking, using the computing device, each candidate orientation of the plurality of candidate orientations as a function of the machine learning model and the computer model.
  • Methods And Systems For Of Generating An Instantaneous Quote Of Any Part Without Toolpathing

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  • US Patent:
    20230042464, Feb 9, 2023
  • Filed:
    Aug 5, 2021
  • Appl. No.:
    17/395119
  • Inventors:
    - Maple Plain MN, US
    Stefan Emilov Atev - Bethesda MD, US
  • Assignee:
    PROTOLABS, INC. - Maple Plain MN
  • International Classification:
    G05B 19/406
    G06N 20/00
  • Abstract:
    Methods and In an aspect a method of generating an instantaneous quote of any part without toolpathing, the method includes receiving, using a computing device, a geometric model of a part, constructing, using the computing device, at least a rotation-invariant feature as a function of the geometric model, predicting, using the computing device, a manufacturing time as a function of the at least a rotation-invariant feature and a manufacturing time machine learning model, selecting, using the computing device, a stock as a function of the at least a rotation-invariant and a stock selection machine learning model feature, and estimating, using the computing device, a quote as a function of the manufacturing time and the stock.

Resumes

Stefan Atev Photo 1

Principal Software Developer, Cam Software

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Location:
2600 Niagara Ln north, Minneapolis, MN 55447
Industry:
Computer Software
Work:
Vital Images since Mar 2010
Senior Scientist, Algorithm Development

Vital Images Jun 2008 - Mar 2010
Scientist, Algorithm Development

University of Minnesota Jan 2004 - May 2008
Research Assistant

University of Minnesota Aug 2003 - Dec 2003
Teaching Assistant

IBM Sep 2001 - Jun 2003
Intern, Advanced Internet Technolgy Group
Education:
University of Minnesota-Twin Cities 2007 - 2011
Ph.D., Computer Science
University of Minnesota-Twin Cities 2003 - 2007
M.S., Computer Science
Luther College 1999 - 2003
B.A., Computer Science, Mathematics, Physics (minor field)
Sofia High School of Mathematics 1992 - 1999
Skills:
Algorithms
Computer Science
Machine Learning
Image Processing
Computer Vision
Matlab
C++
Artificial Intelligence
Software Engineering
Research
Numerical Analysis
Linux
Software Development
Programming
Optimizations
Optimization
Perl
Languages:
English
Bulgarian

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