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Serhan Uslubas

from San Francisco, CA
Age ~42
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Related to:
John M Thompson, 74Daniel A Weller, 66Julie Ann Finegan, 66
Connected to:
Adriana Usma, 55Maria Y Usma, 61A Usman, 55Aaqib I Usman, 33Abdulsalam Usman, 36Afreen V Usman, 72Jilani Usman, 36Mani Usman, 80Mehar Usman, 39Muhammed Usman, 78

Serhan Uslubas Phones & Addresses

  • 110 Steiner St, San Francisco, CA 94117
  • 4121 26Th St, San Francisco, CA 94131
  • Dallas, TX
  • Evanston, IL

Work

Company: Stanford graduate school of business Sep 2014 to 2016 Position: Mba candidate

Education

Degree: Master of Business Administration, Masters School / High School: Stanford University Graduate School of Business 2014 to 2016

Skills

Testing • Mobile Devices • Quality Assurance • Benchmarking • Validation • Camera • Image Processing • Algorithms • Signal Processing • Machine Learning • Matlab • Computer Vision • Embedded Systems • Simulations • C++ • C • Python • Perl • Software Engineering • Computer Science • Semiconductors • Debugging • Software Development • Linux • Software Design • Android • Objective C

Languages

English • Turkish

Interests

Startups • Landscape Photography • Soccer • Entrepreneurship

Industries

Computer Software

Resumes

Resumes

Serhan Uslubas Photo 1

Senior Software Engineer

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Location:
San Francisco, CA
Industry:
Computer Software
Work:
Stanford Graduate School of Business Sep 2014 - 2016
Mba Candidate
Texas Instruments Mar 2009 - Jun 2011
Image and Video Technology Business
Apple Mar 2009 - Jun 2011
Senior Software Engineer
Motorola Center For Seamless Communications Jan 2007 - Mar 2009
Researcher
Northwestern University Sep 2006 - Jan 2007
Research Assistant
Education:
Stanford University Graduate School of Business 2014 - 2016
Master of Business Administration, Masters Northwestern University 2006 - 2008
Master of Science, Masters, Electrical Engineering, Electrical Engineering and Computer Science, Computer Science Boğaziçi University 2002 - 2006
Bachelors, Bachelor of Science, Electronics Engineering Robert College 1994 - 2001
Skills:
Testing
Mobile Devices
Quality Assurance
Benchmarking
Validation
Camera
Image Processing
Algorithms
Signal Processing
Machine Learning
Matlab
Computer Vision
Embedded Systems
Simulations
C++
C
Python
Perl
Software Engineering
Computer Science
Semiconductors
Debugging
Software Development
Linux
Software Design
Android
Objective C
Interests:
Startups
Landscape Photography
Soccer
Entrepreneurship
Languages:
English
Turkish

Publications

Us Patents

Digital Image Compression By Resolution-Adaptive Macroblock Coding

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US Patent:
20110002391, Jan 6, 2011
Filed:
Jun 7, 2010
Appl. No.:
12/795232
Inventors:
Serhan Uslubas - Dallas TX, US
Aggelos K. Katsaggelos - Chicago IL, US
Faisal Ishtiaq - Chicago IL, US
Shih-Ta Hsiang - Schaumburg IL, US
Ehsan Maani - San Jose CA, US
Assignee:
MOTOROLA, INC. - Schaumburg IL
NORTHWESTERN UNIVERSITY - Evanston IL
International Classification:
H04N 7/26
US Classification:
37524016, 375E07026
Abstract:
Disclosed is an image encoder that divides a digital image into a set of “macroblocks.” If appropriate, a macroblock is “downsampled” to a lower resolution. The lower-resolution macroblock is then encoded by applying spatial (and possibly temporal) prediction. The “residual” of the macroblock is calculated as the difference between the predicted and actual contents of the macroblock. The low-resolution residual is then either transmitted to an image decoder or stored for later use. In some embodiments, the encoder calculates the rate-distortion costs of encoding the original-resolution macroblock and the lower-resolution macroblock and then only encodes the lower-resolution macroblock if its cost is lower. When a decoder receives a lower-resolution residual, it recovers the lower-resolution macroblock using standard prediction techniques. Then, the macroblock is “upsampled” to its original resolution by interpolating the values left out by the encoder. The macroblocks are then joined to form the original digital image.

Digital Image Compression By Residual Decimation

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US Patent:
20110002554, Jan 6, 2011
Filed:
Jun 7, 2010
Appl. No.:
12/795200
Inventors:
Serhan Uslubas - Dallas TX, US
Aggelos K. Katsaggelos - Chicago IL, US
Faisal Ishtiaq - Chicago IL, US
Shih-Ta Hsiang - Schaumburg IL, US
Ehsan Maani - San Jose CA, US
Assignee:
MOTOROLA, INC. - Schaumburg IL
International Classification:
G06K 9/46
US Classification:
382238
Abstract:
Disclosed is an image encoder that divides a digital image into a set of “macroblocks.” Each macroblock is encoded by applying spatial (and possibly temporal) prediction. The “residual” of the macroblock is calculated as the difference between the predicted content of the macroblock and the actual content of the macroblock. The residual is then “decimated” by taking an orderly subset of its values. The decimated residual is then either transmitted to an image decoder or is stored for later use. To recreate the original image, the macroblocks are first recreated from their received residuals. When a decimated residual is received, the values of the residual left out during decimation are interpolated from the values actually received. Using the prediction techniques along with the residual, the original content of the macroblock is recovered. The macroblocks are then joined to form the original digital image.

Digital Image Color Correction

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US Patent:
20130195353, Aug 1, 2013
Filed:
Jan 31, 2012
Appl. No.:
13/363107
Inventors:
Serhan Uslubas - San Francisco CA, US
David Hayward - Los Altos CA, US
Assignee:
Apple Inc. - Cupertino CA
International Classification:
H04N 1/60
US Classification:
382167
Abstract:
Systems, methods, and computer readable media for performing color correction operations to address memory color artifacts in a manner suited for real-time operations. In general, techniques are disclosed for correcting memory color rendering artifacts in an image without performing color space conversions. In one implementations, hue-saturation-value (HSV) image correction values may be expressed solely in terms of an image's base red-green-blue (RGB) color space values. Once expressed in this manner, color correction may be applied to the image directly—without the need to convert the image's color space into and out of a working color space (e.g., an HSV color space). As no color space conversions are necessary, the disclosed techniques are well-suited to real-time operations.

System And Method Of Optimized Bit Extraction For Scalable Video Coding

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US Patent:
20100091841, Apr 15, 2010
Filed:
Oct 7, 2009
Appl. No.:
12/575156
Inventors:
Faisal Ishtiaq - Chicago IL, US
Shih-Ta Hsiang - Schaumburg IL, US
Aggelos K. Katsaggelos - Chicago IL, US
Ehsan Maani - Chicago IL, US
Serhan Uslubas - Dallas TX, US
Assignee:
MOTOROLA, INC. - Schaumburg IL
NORTHWESTERN UNIVERSITY - Evanston IL
International Classification:
H04N 7/26
H04N 7/64
H04N 7/24
US Classification:
37524002, 37524027, 375E07279, 375E07022, 375E07126
Abstract:
A device for use with a frame generating portion that is arranged to receive picture data corresponding to a plurality of pictures and to generate encoded video data for transmission across a transmission channel having an available bandwidth. The frame generating portion can generate a frame for each of the plurality of pictures to create a plurality of frames. The encoded video data is based on the received picture data. The device includes a distortion estimating portion and inclusion determining portion and an extracting portion. The distortion estimating portion can estimate a distortion. The inclusion determining portion can establish an inclusion boundary based on the estimated distortion. The extracting portion can extract a frame from the plurality of frames based on the inclusion boundary.
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Serhan Uslubas from San Francisco, CA, age ~42 Get Report