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Michael S Branicky

from Lawrence, KS
Age ~60
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Also known as:
Michael Stephen Branicky, Steve A Branicky, Steve M Branicky
Phone and address:
111 Earhart Cir, Lawrence, KS 66049
(216) 287-3327
Related to:
Jean M Swigonski, 32Angelina SwigonskiLizabeth Hutton, 47Lisa GilliamTheresine SwigonskiRaymond Swigonski, 77
Connected to:
Christopher T Branich, 44Tatyana Branicka, 50Andrew J Braniff, 41Ernest R Braniff, 81Mike Braniff, 38Shannon M Braniff, 56Todd M Braniff, 47Austin T Branigan, 38Brendan K Branigan, 58Christa M Branigan, 58

Michael Branicky Phones & Addresses

  • 111 Earhart Cir, Lawrence, KS 66049 (216) 287-3327
  • 16014 Hocking Blvd, Brookpark, OH 44142 (216) 362-6268
  • 2330 Euclid Heights Blvd, Cleveland, OH 44106 (216) 791-3027
  • Shaker Heights, OH
  • Roaming Shores, OH
  • Cambridge, MA

Work

Company: The university of kansas Jul 2013 Position: Dean of engineering and professor of electrical engineering and computer science

Education

Degree: Doctorates, Doctor of Science School / High School: Massachusetts Institute of Technology 1990 to 1995 Specialities: Electrical Engineering, Electrical Engineering and Computer Science, Computer Science

Skills

Research • Matlab • Simulations • Signal Processing • Machine Learning • Robotics • Artificial Intelligence • Algorithms • Higher Education • Program Management • Software Development • Project Management • Systems Engineering • Fundraising • Image Processing • Latex • Grant Writing • Pattern Recognition

Industries

Higher Education

Resumes

Resumes

Michael Branicky Photo 1

Dean Of Engineering And Professor Of Electrical Engineering And Computer Science

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Location:
Lawrence, KS
Industry:
Higher Education
Work:
The University of Kansas
Dean of Engineering and Professor of Electrical Engineering and Computer Science
Case Western Reserve University Oct 1996 - Jun 2013
Professor and Chair, Eecs
Bitbacker May 2006 - Dec 2012
Owner and Chief Scientist
National Science Foundation May 2006 - Dec 2012
Expert
National Science Foundation Jul 2008 - Jun 2010
Program Director
Education:
Massachusetts Institute of Technology 1990 - 1995
Doctorates, Doctor of Science, Electrical Engineering, Electrical Engineering and Computer Science, Computer Science Case Western Reserve University 1987 - 1989
Master of Science, Masters, Electrical Engineering Case Western Reserve University 1983 - 1987
Bachelors, Bachelor of Science, Electrical Engineering St. Edward High School 1979 - 1983
Skills:
Research
Matlab
Simulations
Signal Processing
Machine Learning
Robotics
Artificial Intelligence
Algorithms
Higher Education
Program Management
Software Development
Project Management
Systems Engineering
Fundraising
Image Processing
Latex
Grant Writing
Pattern Recognition

Publications

Wikipedia References

Michael Branicky Photo 2

Michael Branicky

Us Patents

Visual Segmentation Of Lawn Grass

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US Patent:
20120212638, Aug 23, 2012
Filed:
Jul 1, 2010
Appl. No.:
13/380413
Inventors:
Alexander Schepelmann - Pittsburgh PA, US
Kathryn A. Daltorio - Cleveland OH, US
Amaury D. Rolin - Washington DC, US
Jonathan Beno - Boulder CO, US
Bradley E. Hughes - Butler PA, US
James M. Green - Berea OH, US
Michael S. Branicky - Shaker Heights OH, US
Roger D. Quinn - Akron OH, US
Henry H. Snow - Tannersville NY, US
Francis L. Merat - University Heights OH, US
Richard E. Hudson - Durham NC, US
Assignee:
CASE WESTERN RESERVE UNIVERSITY - Cleveland OH
MTD PRODUCTS INC - Valley City OH
International Classification:
H04N 5/228
G06K 9/34
US Classification:
3482221, 382173, 348E05024
Abstract:
This invention provides a method for identifying lawn grass comprising capturing an image of the terrain in front of a mower, segmenting the image into neighborhoods, calculating at least two image statistics for each of the neighborhoods, generating a binary representation of each image statistic. The binary representation of each image statistic is generated by comparing the calculated image statistic values to predetermined image statistic values for grass. The method further comprises weighting each of the binary representations of each image statistic, and summing corresponding neighborhoods for all image statistics. A binary threshold is applied to each of the summed neighborhoods to generate a binary map representing grass containing areas and non-grass containing areas.

Visual Segmentation Of Lawn Grass

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US Patent:
20160342864, Nov 24, 2016
Filed:
May 23, 2016
Appl. No.:
15/162281
Inventors:
- Valley City OH, US
- Cleveland OH, US
Amaury D. Rolin - Washington DC, US
Jonathan Beno - Boulder CO, US
Bradley E. Hughes - Butler PA, US
James M. Green - Berea OH, US
Michael S. Branicky - Shaker Heights OH, US
Roger D. Quinn - Akron OH, US
Henry H. Snow - Tannersville NY, US
Francis L. Merat - University Heights OH, US
Richard E. Hudson - Durham NC, US
International Classification:
G06K 9/62
A01D 34/00
G06K 9/46
G06T 7/00
G06T 7/40
Abstract:
Disclosed is a method for identifying lawn grass which includes capturing an image of the terrain in front of a mower, segmenting the image into neighborhoods, calculating at least two image statistics for each of the neighborhoods, generating a binary representation of each image statistic. The binary representation of each image statistic is generated by comparing the calculated image statistic values to predetermined image statistic values for grass. The method further includes weighting each of the binary representations of each image statistic, and summing corresponding neighborhoods for all image statistics. A binary threshold is applied to each of the summed neighborhoods to generate a binary map representing grass containing areas and non-grass containing areas.

Visual Segmentation Of Lawn Grass

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US Patent:
20150071540, Mar 12, 2015
Filed:
May 20, 2014
Appl. No.:
14/282625
Inventors:
- Valley City OH, US
- Cleveland OH, US
Amaury D. Rolin - Washington DC, US
Jonathan Beno - Boulder CO, US
Bradley E. Hughes - Butler PA, US
James M. Green - Berea OH, US
Michael S. Branicky - Shaker Heights OH, US
Roger D. Quinn - Akron OH, US
Henry H. Snow - Tannersville NY, US
Francis L. Merat - University Heights OH, US
Richard E. Hudson - Durham NC, US
Assignee:
MTD Products Inc - Valley City OH
Case Western Reserve University - Cleveland OH
International Classification:
G06T 7/00
US Classification:
382173
Abstract:
Disclosed is a method for identifying lawn grass which includes capturing an image of the terrain in front of a mower, segmenting the image into neighborhoods, calculating at least two image statistics for each of the neighborhoods, generating a binary representation of each image statistic. The binary representation of each image statistic is generated by comparing the calculated image statistic values to predetermined image statistic values for grass. The method further includes weighting each of the binary representations of each image statistic, and summing corresponding neighborhoods for all image statistics. A binary threshold is applied to each of the summed neighborhoods to generate a binary map representing grass containing areas and non-grass containing areas.
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Michael S Branicky from Lawrence, KS, age ~60 Get Report